Elisabetta Collini1. 1. Department of Chemical Sciences, University of Padova, via Marzolo 1, 35131 Padova, Italy.
Abstract
2D electronic spectroscopy (2DES) techniques have gained particular interest given their capability of following ultrafast coherent and noncoherent processes in real-time. Although the fame of 2DES is still majorly linked to the investigation of energy and charge transport in biological light-harvesting complexes, 2DES is now starting to be recognized as a particularly valuable tool for studying transport processes in artificial nanomaterials and nanodevices. Particularly meaningful is the possibility of assessing coherent mechanisms active in the transport of excitation energy in these materials toward possible quantum technology applications. The diverse nature of these new target samples poses significant challenges and calls for a critical rethinking of the technique and its different realizations. With the confluence of promising new applications and rapidly developing technical capabilities, the enormous potential of 2DES techniques to impact the field of nanosystems, quantum technologies, and quantum devices is here delineated.
2D electronic spectroscopy (2DES) techniques have gained particular interest given their capability of following ultrafast coherent and noncoherent processes in real-time. Although the fame of 2DES is still majorly linked to the investigation of energy and charge transport in biological light-harvesting complexes, 2DES is now starting to be recognized as a particularly valuable tool for studying transport processes in artificial nanomaterials and nanodevices. Particularly meaningful is the possibility of assessing coherent mechanisms active in the transport of excitation energy in these materials toward possible quantum technology applications. The diverse nature of these new target samples poses significant challenges and calls for a critical rethinking of the technique and its different realizations. With the confluence of promising new applications and rapidly developing technical capabilities, the enormous potential of 2DES techniques to impact the field of nanosystems, quantum technologies, and quantum devices is here delineated.
The ability to spectroscopically probe ultrafast events in the
femtoseconds (fs) time regime has been crucial for understanding fundamental
scientific questions in biology, chemistry, and physics.[1] Examples of such investigations include transition-state
dynamics of chemical reactions, solute–solvent interactions,
energy and charge transfer, excitonic interactions, and quantum coherence,
just to cite a few.[2] Several ultrafast
spectroscopy techniques have been developed to this aim, including
pump–probe (probably the most famous and widespread among the
fs techniques), various types of photon echo, transient grating, resonant
coherent Raman, and hole-burning spectroscopies, and optical Kerr
spectroscopy. All these techniques can be broadly classified as four-wave
mixing (FWM) techniques. In a perturbative approach, the FWM process
is governed by the third-order nonlinear response function, the lowest
order to access information on the evolution of excited states.[3,4]Bidimensional electronic spectroscopy (2DES) is an extension of
the FWM techniques, and it has several analogies with conventional
“monodimensional” (1D) spectroscopies like photon echo
and pump–probe. The development of multidimensional techniques
represented a remarkable advance in the field of ultrafast spectroscopy
because it gave access to a series of subtle observables, usually
hidden in typical 1D techniques, which can potentially open up new
exciting perspectives in the emerging fields of nano and quantum technologies.What distinguishes a 2D from a 1D technique is that in 2D techniques,
each of three light–matter interactions is carefully controlled
in time, and the phase and amplitude of the third-order signal are
measured. In this way, the medium’s response can be cast into
2D spectra, which provide more straightforward and direct access to
signal contributions hidden within the broad lineshapes of 1D spectra.
This allows revealing with improved reliability details on molecular
structure, vibrational and electronic motions, interactions, couplings,
and relaxation processes. This is particularly advantageous in the
investigation of condensed phases, in which complex inter- or intramolecular
interactions and environmental heterogeneity may be intertwined within
the broad spectral features of 1D measurements. 2D techniques instead
permit the spreading of congested spectra along multiple time or frequency
coordinates.At the dawn of 2DES in the early 2000s, the technique was mainly
applied to biological light-harvesting antenna complexes and still
now its fame is linked to the investigation of such systems.[5,6] Indeed, 2DES appeared as the ideal technique to investigate the
possible presence and the relevance of coherent quantum mechanisms
active during the biological light-harvesting processes. In fact,
the development of 2DES, now recognized as the primary tool to obtain
clear and definitive experimental proof of such effects, has been
central in the advent of quantum biology.[7] Although the effective role of quantum phenomena on the biological
light-harvesting process is still a matter of intense debate,[8,9] inspire by nature, spectroscopists started to move their attention
on biomimetic artificial systems, from organic multichromophore systems[10−12] to fully inorganic[13−16] and hybrid materials[17−19] and to functioning solid-state devices.[20−22] Based on this wealth of evidence, the enormous potential of 2DES
techniques to impact the field of nanosystems, semiconductors, quantum
technologies, and quantum devices must now be recognized. Nonetheless,
the diverse nature of these new target samples poses important challenges
and calls for a critical rethinking of the technique and its different
realizations.To this aim, this Perspective, rather than trying to provide an
exhaustive overview of technical details (many excellent books and
reviews are already available[6,23−28]), has the ambition of facilitating a critical idea of the boundaries
of the 2DES techniques and highlighting the game-breaker role that
such techniques can play in the emerging field of quantum technologies.Now, the main assets of 2DES can be summarized in two points:First, in 2D spectra, the couplings
between different states or transitions are mapped as cross-peaks,
far from the diagonal region where the remaining relaxation dynamics
occur. Cross-peaks are achievable only in multidimensional techniques.
They are the “smoking gun” witnessing the presence of
interactions and couplings between states. It is also possible to
follow their time behavior, assessing the presence of couplings and
the associated dynamics.Second, the technique is sensitive
to coherent dynamics and quantum evolution manifested as oscillations
of the signal amplitude at specific coordinates of the 2D maps. The
study of frequency, amplitude distribution, and dephasing time of
such oscillations allows a complete characterization of any coherent
dynamics (electronic, vibrational, vibronic, etc.) taking place during
the system relaxation.To have a physical insight into what is determining these capabilities,
the main technical aspects of 2DES and the physical origin of the
signal outputted by a 2DES experiment will be quickly outlined in Section . In Section , different experimental schemes
and layouts currently available will be described to evaluate for
which uses each configuration is more suitable. Finally, Section summarizes a few
recent examples of applications on innovative materials that are indicating
exciting developments and new perspectives for multidimensional techniques.
Electronic Transitions in 2DES Spectra: Couplings
and Dynamics
How a 2DES Map Is Built
To understand
how the technique works, a comparison to the more familiar pump–probe
technique could be helpful.[24] In a typical
pump–probe experiment, a short pump pulse from a femtosecond
laser impulsively excites the sample to an electronic excited state.
After a time delay T, a weak probe pulse records
the changes in the absorption due to the action of the pump (Figure a). The transmittance
of the probe can be increased (“bleaching” or “stimulated
emission”) or decreased (“excited state absorption”)
in different spectral regions. Overall, in a pump–probe experiment
the signal is plotted as a function of a delay time (T) and a frequency (the probe frequency ωprobe (Figure b)). In a 2D experiment,
instead, the signal is plotted as a function of a delay time (population
time, t2) and two frequencies: the axis
ω3, typically denoted as “emission”
frequency, is analogous to the ωprobe axis in the
pump–probe response. The new frequency axis ω1 (“excitation” frequency) can be thought of as the
distribution of frequencies excited by the pump pulse. The excitation
axis is built in the time domain by scanning the delay t1 between the first two interactions (Figure c). The generated signal oscillates
as a function of the delay time t1, allowing
the excitation frequency axis to be recovered by Fourier transform
(FT). In this case, the broader the pulse spectrum, the larger the
excitation frequency window probed by the experiment is. The result
has both high temporal and spectral resolution.
Figure 1
Excitation geometry (upper line) and pulse sequence (lower line)
for (a) pump–probe and (c) fully noncolinear 2DES experiments.
In the pump–probe experiment, the first two interactions (E1 and E2, collectively
indicated as the “pump”) are simultaneous and propagate
along the same direction. The signal (blue) is emitted in the same
direction as the probe (E3), it is self-heterodyned
by it, and it is measured as a function of the delay time T between the pump and probe beams. In 2DES experiments
the three fields interacting with the sample (E1, E2, and E3) and a fourth beam used only for detection purposes (LO =
local oscillator) are arranged at the vertices of a square (BOXCARS
geometry. The signal is recorded as a function of the time delays t1, t2 and t3. (b) Example of a typical plot ωvsT obtained as a result of a pump–probe experiment. (d) Pictorial
representation of the matrix data set obtained with a 2DES experiment;
the two frequency axes ω1 and ω3 are obtained by Fourier transforming the delay times t1 and t3. The evolution of
the 2D (ω1, ω3) maps is followed
along t2.
Excitation geometry (upper line) and pulse sequence (lower line)
for (a) pump–probe and (c) fully noncolinear 2DES experiments.
In the pump–probe experiment, the first two interactions (E1 and E2, collectively
indicated as the “pump”) are simultaneous and propagate
along the same direction. The signal (blue) is emitted in the same
direction as the probe (E3), it is self-heterodyned
by it, and it is measured as a function of the delay time T between the pump and probe beams. In 2DES experiments
the three fields interacting with the sample (E1, E2, and E3) and a fourth beam used only for detection purposes (LO =
local oscillator) are arranged at the vertices of a square (BOXCARS
geometry. The signal is recorded as a function of the time delays t1, t2 and t3. (b) Example of a typical plot ωvsT obtained as a result of a pump–probe experiment. (d) Pictorial
representation of the matrix data set obtained with a 2DES experiment;
the two frequency axes ω1 and ω3 are obtained by Fourier transforming the delay times t1 and t3. The evolution of
the 2D (ω1, ω3) maps is followed
along t2.Overall, a 2D map can be interpreted as a frequency–frequency
correlation spectrum at a fixed value of the delay time t2: (3) (ω1, t2, ω3), (Figure d). This signal is
plotted as a function of ω1 (=FT(t1)), representing the initial excitation, and ω3 (=FT(t3)), which can be interpreted
as the ensuing emission.[29,30]
Third-Order Signal in a 2DES Map
The signal plotted in a 2DES map can be formalized in the perturbative
approach framework, which allows expressing the total polarization as perturbative expansion in powers of
the incoming fields. The critical quantity to determine any FWM nonlinear
signal (including 2DES signal) is the third-order polarization (3), to which the signal is proportional. (3) can be expressed as the convolution
of the nonlinear response function (3)(t1,t2,t3) with the pulse fields (k,t):[3,30]where the jth laser pulse
is centered at τ and , ω, A(t), and ϕ are the wavevector, carrier frequency, temporal envelope and phase
of the field. t1, t2, and t3 are the time intervals
between interactions, as illustrated in Figure c.The response function R(3)(t1,t2,t3) can be expressed as the sum
of several terms, which correspond to all possible contributions of
three incoming fields to the polarization. Each of these terms can
be associated with a specific time evolution of the density matrix,
known as Liouville pathways. In spectroscopy, these pathways are usually
graphically visualized by means of diagrams capable of highlighting
the temporal sequence of the field interactions and the transitions
promoted in the systems by such interactions. The most famous are
the double-sided Feynman diagrams. Figure reports an example of a pathway contributing
to the time evolution of the density matrix (Figure a), its corresponding representation in terms
of a Feynman diagram (Figure b) and the coordinates in the 2D map at which the corresponding
signal is expected to appear (Figure c).
Figure 2
(a) Example of pathway contributing to the time evolution of the
density matrix after the interaction with three laser pulses (black
arrows). The wavy arrow represents the emitted signal. A two-level
system (ground state g and excited state e) is considered. (b) Representation
of the same pathway in terms of the Feynman diagram. (c) Signal corresponding
to this diagram. This is expected to appear in the 2D map as a diagonal
peak at coordinates (ωe, ωe), with
ωe being the frequency of the transition g →
e.
(a) Example of pathway contributing to the time evolution of the
density matrix after the interaction with three laser pulses (black
arrows). The wavy arrow represents the emitted signal. A two-level
system (ground state g and excited state e) is considered. (b) Representation
of the same pathway in terms of the Feynman diagram. (c) Signal corresponding
to this diagram. This is expected to appear in the 2D map as a diagonal
peak at coordinates (ωe, ωe), with
ωe being the frequency of the transition g →
e.In Figure , the
Feynman diagrams most relevant for the interpretation of 2DES response
are shown.
Figure 3
Feynman diagrams contributing to (a) rephasing, (b) nonrephasing,
and (c) double-quantum signals.[32] Orange
is used to label single excited states, and green is used to label
double excited states. GSB = ground state bleaching; SE = stimulated
emission; ESA = excited state absorption. Conventionally, GSB and
SE give positive contributions, while ESA gives negative contributions
to the signal. For more details see refs (3, 25, 31, and 32).
Feynman diagrams contributing to (a) rephasing, (b) nonrephasing,
and (c) double-quantum signals.[32] Orange
is used to label single excited states, and green is used to label
double excited states. GSB = ground state bleaching; SE = stimulated
emission; ESA = excited state absorption. Conventionally, GSB and
SE give positive contributions, while ESA gives negative contributions
to the signal. For more details see refs (3, 25, 31, and 32).Each pathway corresponds to different pulse sequences and phase
matching conditions, so that sig = ± 1 ± 2 ± 3 and ϕsig = ± ϕ1 ± ϕ2 ± ϕ3. In general, only a few
pathways give a non-negligible contribution to the final signal and,
based on that, rephasing ( = −1+ 2+ 3), nonrephasing ( = +1 – 2 + 3), and double-quantum ( = −1 + 2 + 3) signals are typically defined.A full treatment of third-order responses goes beyond the scope
of this work, and we refer the interested reader to refs (3, 25, and 31) for an
in-depth analysis. In practice, once relevant pathways/diagrams contributing
to the response function are identified for the particular third-order
experiment of interest, the total signal can be constructed by adding
together the contributions from each diagram individually.
Diagonal and Off-Diagonal Signals
As exemplified in Figure , each diagram contributing to the total R(3) gives rise to a signal at a specific (ω1, ω3) coordinate in the 2D map. However,
typically, more than one diagram contributes to each relevant position,
making the final interpretation of the peaks appearing in the 2D maps
often tricky. Nonetheless, a few simplified guidelines can be drawn.
The axis ω1 contains information about the first
coherence excited just after the first interaction. It can be considered
as a label of the initial excitation frequency. In contrast, the axis
ω3 includes information on the optical coherence,
which probes the state of the sample following the dynamics during
the t2 period and the third interaction.By inspecting the corresponding Feynman diagrams, it is easy to
demonstrate that signals appearing on the diagonal (ω1 = ω3) provide information on the excitonic structure
of the system under investigation, i.e., on the frequency of the transitions
falling in the experimental window. For example, in the rephasing
map schematized in Figure a, two transitions with frequency ωa and
ωb, are found, suggesting the presence of two excited
states, a and b.[24,25,29]
Figure 4
Schematic representation of 2D spectrum for a multilevel system.
(a) At early population times, the GSB and SE features of two levels
with frequency ωa and ωb appear
as signals elongated on the diagonal. (b) As the population time evolves,
the spectral diffusion produces a broadening of the features, the
Stokes shift produces a redshift of the signals along the emission
axis, and a cross-peak may appear in the lower part of the map as
a consequence of the relaxation from the high energy level to the
low energy one. Negative ESA signals can also appear.
Schematic representation of 2D spectrum for a multilevel system.
(a) At early population times, the GSB and SE features of two levels
with frequency ωa and ωb appear
as signals elongated on the diagonal. (b) As the population time evolves,
the spectral diffusion produces a broadening of the features, the
Stokes shift produces a redshift of the signals along the emission
axis, and a cross-peak may appear in the lower part of the map as
a consequence of the relaxation from the high energy level to the
low energy one. Negative ESA signals can also appear.The intensity and shape of these bands change as the population
of the two states decays to the ground electronic state. The shape
of the peaks (particularly their diagonal and antidiagonal width)
depends on the interactions with the environment and broadening mechanisms.
Typically, as t2 increases, a broadening
and rounding of the peaks is observed due to the loss of correlation
(Figure b); this phenomenon
is known as spectral diffusion, and the study of its time evolution
is particularly relevant in the study of the configurational changes
of the local environment and the time scales for the evolution of
the bath.[33] Relaxation within the same
energy band during t2 may also manifest
as a shift of the signals at lower emission frequency. Ultrafast Stokes
shift due to the reorganization of the electronic clouds of the system
and solvent appears as a drift of the features below the diagonal.[34]A system that produces multiple diagonal peaks but no cross-peaks
can be modeled as a set of isolated noninteracting two-level systems
(Figure a). Relaxation
between different energy levels, or energy transfer between different
molecules, produces rising cross-peaks (ω1 ≠
ω3) below the diagonal with simultaneous decay of
the diagonal signals associated with the initial states (Figure b). Excitation and
emission coordinates of the cross-peaks directly provide the energy
of the involved states. For example, excitation energy transfer or
internal relaxation from one absorption band at energy ω to another at lower energy ω produces a cross-peak at (ω1 =
ω; ω3 = ω), revealing the kinetics by which the ω state relaxes to the ω state. If the energy transfer is downhill in energy,
then the cross-peak appears in the lower diagonal part of the 2D spectrum.
Note that ω and ω can also be two vibronic states lying on the same
electronic state. In this case, the cross-peak between ω and ω captures the vibrational relaxation process.
Figure 5
Position of the cross-peaks can be used to identify interaction
pathways and their dynamics. (a) Isolated noninteracting two-level
systems produce multiple diagonal peaks but no cross-peaks. (b) The
cross-peaks at coordinates (ω,
ω) and (ω, ω) appearing at t2 > 0 indicate that state c is coupled via energy transfer with states a and b. No coupling between states a and b because no cross peak appears at (ω, ω). (c) In the
presence of resonance interactions between the two states, cross-peaks
already appear at t2 = 0: the system can
be modeled as a molecular (excitonic) dimer. (d) A dark state (ω) can be characterized by the coupling with
a bright state (ω) in ESA processes.
Position of the cross-peaks can be used to identify interaction
pathways and their dynamics. (a) Isolated noninteracting two-level
systems produce multiple diagonal peaks but no cross-peaks. (b) The
cross-peaks at coordinates (ω,
ω) and (ω, ω) appearing at t2 > 0 indicate that state c is coupled via energy transfer with states a and b. No coupling between states a and b because no cross peak appears at (ω, ω). (c) In the
presence of resonance interactions between the two states, cross-peaks
already appear at t2 = 0: the system can
be modeled as a molecular (excitonic) dimer. (d) A dark state (ω) can be characterized by the coupling with
a bright state (ω) in ESA processes.Cross-peaks can also arise in the presence of resonance interaction
between two states, for example in a molecular dimer. In this case,
the molecular states are no longer the eigenstates of the dimer, which
are the delocalized excitations, termed excitonic states or excitons.[35] The 2D spectrum of such a system (Figure c) contains cross-peaks arising
from the coupling between the monomers, already at t2 = 0. Since they would not be present if the interaction
between the molecular states was negligible, the presence of cross-peaks
at very early times in 2D spectra implies coupling between the constituents
of the observed system. More in general, cross-peaks will appear every
time two levels are coupled and share a common ground state. The cross-peaks
position can be used to identify which states are interacting, and
the presence (or absence) of cross-peaks in a 2D map can provide insights
into the nature of the electronic system.This capability is also extended to dynamic processes involving
dark states, which can be identified through the appearance of ESA
cross-peaks. Indeed, dark states can be populated through relaxation
from higher energy bright states, and once populated, an absorption
from here to a higher excited state can be activated (Figure d). Conventional 1D femtosecond
pump–probe experiments typically struggle to elucidate questions
concerning the nature and significance of dark electronic states because
their signals are overwhelmed by contributions from other strongly
allowed transitions. As their name suggests, dark states cannot be
caught through direct excitation because they have a null transition
dipole moment. Nevertheless, the relaxation dynamics are strongly
affected by the presence of such states, often involved in transfer,
quenching, or photoprotection processes. An example is the leading
role of the dark S1 state of carotenoids in light-harvesting
complexes.[36,37]In summary, one can say that taking advantage of the sensitive
detection of coupling among states via cross-peaks attainable in 2DES,
it is possible to detect not only the spectral signatures and kinetics
of various (bright and dark) electronic states but also their interaction
pathways.
Signal as a Function of t2: Population and Coherence Decay
We already
discussed that in the response function formalism, the third-order
signal could be expressed as a sum of contributions represented graphically
by double-sided Feynman diagrams. These contributions can be classified
into two groups depending on the signal’s evolution during t2, as shown in Figure . The first group includes nonoscillating
pathways, represented by Feynman diagrams where the system reaches
a pure state after the first two interactions (Figure a). The second group consists of oscillating
contributions described by Feynman diagrams where, after the first
two interactions, the system is in a coherent superposition of states
(Figure b). In the
first case, the signal evolves in t2 following
the relaxation dynamics of the excited states that can be quantified
through the solutions of suitable kinetic differential equations (“populations”
dynamics). For example, in the simplest case of parallel relaxation
processes, the solutions of the rate equations are real exponential
functions.[38] In the second case, the signal
oscillates during t2 with a frequency
proportional to the energy gap of the states that generate the coherence.
These oscillations dampen over time according to their dephasing rates,
depending on the nature of states themselves, on the temperature,
on the environment, etc., and are well described by complex exponential
functions.
Figure 6
Examples of Feynman diagrams representing (a) nonoscillating and
(b) oscillating contributions to the signal. The oscillation frequency
corresponds to the difference between the frequencies of the states
involved in the coherent superposition evolving during t2 (highlighted in red). Right panels sketch the dynamics
of the corresponding signals as a function of the population time.
τp and τc indicate the time constants
for the population decay and coherence decay (dephasing), respectively.
Examples of Feynman diagrams representing (a) nonoscillating and
(b) oscillating contributions to the signal. The oscillation frequency
corresponds to the difference between the frequencies of the states
involved in the coherent superposition evolving during t2 (highlighted in red). Right panels sketch the dynamics
of the corresponding signals as a function of the population time.
τp and τc indicate the time constants
for the population decay and coherence decay (dephasing), respectively.The presence of these oscillations in the amplitude of the signal
at specific coordinates is direct evidence for coherent dynamics,
i.e., the time evolution of a coherent superposition of states. In
other words, the capability of the technique to exploit the phase
and coherence information in the time evolution of the optical polarization
makes it sensitive to the presence of coherent mechanisms in the relaxation
or energy transfer processes.Depending on the character of the involved states, vibrational
or electronic coherences can be distinguished. The amplitude patterns
of the oscillations on the 2D spectra are different in the two cases
and they can be used to identify the nature of the observed coherence[9,39] Despite the significant differences of electronic and vibrational
coherence signatures, due to the broadening of the observed features
and laser spectrum distortions, it is not always easy to make a specific
assignment. Furthermore, when the electronic coupling between chromophores
generates mixed states the distinction becomes less rigorous, and
a range of intermediate cases is possible.[40]The identification of coherent beatings in the evolution of 2D
maps, the analysis of their frequency and time behavior, and the ensuing
interpretation of their possible electronic, vibronic, or vibrational
nature is typically one of the essential steps in the analysis of
the results of a 2DES experiment. Actually, it is precisely the sensitivity
of 2DES to these beatings and the possibility of spreading their content
information along three dimensions (ω1, ω3, t2) that makes this technique
so powerful to detect signatures of coherent dynamics, especially
in connection with energy, charge, or information transport.[41]
Implementations
One of the key requirements for coherent nonlinear spectroscopy
is phase matching, which is achieved by properly adjusting the wavevectors k of the incident
beams. Depending on the experimental geometry of the incident pulses,
the phase-matching condition determines the direction of the signal
emission. A range of geometries has been employed for 2DES measurements,
including (i) fully noncollinear geometry in which every pulse has
a different wavevector (2D photon echo, BOXCARS geometry), (ii) partially
noncollinear pump–probe geometry in which the first two pulses
are collinear and are followed by a probe pulse at a small angle (2D
pump–probe), and (iii) fully collinear geometry in which every
pulse has the same direction. All implementations have their advantages
and disadvantages.The fully noncollinear BOXCARS setup is probably the most frequently
employed. In this implementation, the signal is generated in a background-free
direction, and thus a pivotal advantage is a high signal-to-noise
ratio. A fourth pulse, called the local oscillator (LO), is mixed
with the signal in order to record the phase information recording
the interference pattern of the two pulses. The main disadvantages
of this implementation are the complexity of the setup, which must
include in the design a passive phase stabilizer, and the fact that
the final signal is accompanied by an arbitrary constant phase that
must be determined.[23]Collinear setups are intrinsically phase-stable because all the
interacting pulses travel the same optical path. In these schemes,
a pulse shaper is usually used to generate collinear pump pulses,
with a known and adjustable relative phase. In the partially noncollinear
pump–probe geometry, the probe beam can be either an attenuated
replica of the pump or a spectrally broader white light continuum.[42] The advantage of this scheme is that the signal
is generated collinearly with the probe beam so that it is heterodyned
with the probe itself and, therefore, automatically phased. The most
relevant drawbacks are the strong background contribution, which lowers
the sensitivity, and the difficulty of accessing the rephasing and
nonrephasing portions of the signal separately in a straightforward
manner. Indeed, the approaches so far successfully used to isolate
the desired signal in a collinear geometry all rely on phase cycling[43,44] or phase modulation[45,46] and some form of lock-in detection.
Both approaches are based on the principle that the signal phase depends
on the phase of the excitation pulses. In phase cycling schemes, the
phases of the excitation pulses are independently rotated by controlled
amounts. Different spectra are recorded for any phase combination
and then combined to remove any signals that do not depend on the
phase of all three excitation pulses as forecasted by the response
function theory. In a similar way, in phase modulation techniques,
a continuous phase oscillation is applied to each of the beams. Therefore,
the signal phase will be modulated at different frequencies corresponding
to specific linear combinations of the three frequencies used to modulate
the phase of the input beams. Signals corresponding to different pathways
(for example the rephasing and nonrephasing signals) will be modulated
at different frequencies. The rotation or modulation of the phases
of the exciting pulses is typically performed by exploiting the same
pulse shaper apparatus used to generate the pulse sequence. Thus,
additional equipment is not required.While in its first applications the BOXCARS noncollinear geometry
was preferred, lately, collinear setups are quickly gaining ground
because of the possibility to switch to the so-called “action
detected” techniques.[45−48] In these configurations, a fourth pulse is added
to the pulse sequence to drive the system into an excited or ground
state population. In phase modulation or phase cycling schemes, the
excited state population is also modulated, and then it can be read
out by some other means, for example, photocurrent or photoluminescence.
These techniques are particularly inspiring in view of characterizing
operating devices or realizing ad hoc schemes to
answer specific questions (see Section ).
Characterization of Complex Dynamics toward
Quantum Technology Applications
2DES, especially in the first decade after its practical development,
has been often associated with the investigation of energy and charge
transfer dynamics in biological photosynthetic processes. Since the
first examples of investigations on the excitonic structure and dynamics
in the Fenna–Mathew–Olson (FMO) complex,[9,49,50] 2DES has been applied to many
systems and problems in photosynthesis research. For instance it was
used to uncover the mechanisms of charge separation in Photosystem
II, Photosystem I, and the bacterial reaction centers and to untangle
the intricate pathways in the light-harvesting antennas of green photosynthetic
bacteria, purple bacteria, cryptophyte algae, brown algae, and green
plants.[6] Variants of the technique have
also been developed to follow the excitation energy flow in intact
living cells of photosynthetic organisms.[51]A lot of attention was also paid to studying the dynamics of isolated
biologically relevant chromophores in vitro. For example, the ultrafast
relaxation dynamics in the sub 100 fs time regime of chlorophyll a,[52,53] chlorophyll b,[54] bacteriochlorophyll a,[55] and carotenes[56−58] have been elucidated
through 2DES. A thorough characterization of these dynamics is crucial
for a complete understanding of the mechanisms regulating the ultrafast
dynamics of the relaxation processes in the more complex multichromophore
light-harvesting systems in which these molecules are embedded.Several of these studies have been devoted to analyzing the role
of quantum coherences in the photosynthetic processes. Despite two
decades of investigations, this remains a highly engaging albeit controversial
issue.[9,59,60] There is,
however, a general consensus in admitting that 2DES played an essential
role in resolving the dynamics and pathways of energy and electron
transport in various light-harvesting antenna systems and reaction
centers with an unsurpassed level of detail.The investigation on the role of quantum effects in the dynamics
of photosynthetic complexes, regardless of whether or not these effects
are relevant in nature, had the merit to trigger important new lines
of research. Indeed, it is questionable whether quantum effects, even
if nature does not exploit them, can be engineered into artificial
systems designed ad hoc to control quantum coherent
energy or charge transfer.[61]In this sense, 2DES played a crucial role in inspiring new technologies
and materials where quantum coherence is used as a new foundational
principle to realize devices with improved performances.[62] The challenge is now moving from fundamental
studies to actual technology, and this requires the development of
suitable materials where quantum phenomena are sufficiently controllable
to be exploitable. Despite the tremendous potentiality of quantum
technologies, their concrete demonstration in real devices is still
limited to few niche applications.[62] In
a very simplistic way, this goes back to the complexity of quantum
mechanics principles and, even more, to the difficulty of maintaining
quantum features active in our macroscopic world, intrinsically classic.
It was suggested that our world is “too wet, hot, and noisy”
to preserve the phase and amplitude of the quantum mechanical coherent
superpositions. And so too, our devices.[7] Indeed, energy and charge transfer dynamics are inevitably affected
by the thermal fluctuations of nuclear motions. This is because the
magnitude of the fluctuations in site energy and electronic coupling
can be comparable with the magnitude of the electronic coupling that
causes excitation energy and charge transfer.Therefore, the challenge of achieving control over quantum phenomena
must necessarily pass through the microscopic understanding of the
coupling among the photoactive electronic systems and between these
systems and the environmental bath. And, as emerging from the previous
sections, 2DES appears as the ideal tool to characterize such couplings
and face this challenge. A few relevant recent examples of how 2DES
can effectively be employed in this context are collected in the following
sections.
Artificial Molecular Nanosystems
The role of the coupling system-environment is now emerging as one
of the key factors to be controlled (and engineered) to be able to
fully exploit the quantum nature of the transport processes. Photosynthetic
protein complexes represent one of the best examples of how nature
can tune the electronic properties of chromophores, their interactions
and relaxation and transport dynamics by embedding such chromophores
in a suitably “engineered” environment, i.e., the protein
scaffold.[63] Inspired by that, several artificial
biomimetic multichromophore systems have been proposed, where the
photoactive chromophores were embedded into “structured environments”
by covalent linking or by supramolecular self-assembly techniques.
Examples of this approach are dimers of interacting chromophores mounted
on DNA strands,[64,65] chromophores covalently attached
to polymeric chains,[66] self-assembled aggregates
of dye-functionalized short amino acid sequences,[67] porphyrin nanorings[68] and J-aggregates,[10,11] and H-bonded dimers.[69]This growing
amount of evidence is now permitting us to extract critical structure-to-property
relationships to design new materials where the control of at least
a few relevant aspects of the system-environment coupling leads to
control of coherent dynamics. For example, refs (69−71) suggest that the establishment of specific and directional
interactions like hydrogen bonds (H-bonds), can have very strong consequences
for the electronic coupling and the ultrafast dynamics of coupled
chromophores. In particular, new intra- and intermolecular ultrafast
relaxation channels can be activated, mediated by the vibrational
motions of the hydrogen donor and acceptor groups, also when the coupled
chromophores are at significant distances (Figure ). These findings suggest that the design
of H-bonded structures is a particularly powerful tool to drive the
ultrafast dynamics in complex materials. The intrinsic multidimensionality
of the 2DES technique, its capability of resolving dynamic pathways
in frequency and in time, and the sensitivity to couplings mapped
at cross-peak positions have been absolutely essential in achieving
such a level of understanding of the complex mechanism regulating
such dynamics.
Figure 7
Effect of H-bonds on the ultrafast dynamics of an H-bonded dimer
of BODIPY molecules.[69] (a) Molecular structure
of the dimer. (b) Purely absorptive 2DES map of the dimer collected
at t2 = 20 fs. The transition energies
of the two molecular moieties are highlighted in red and blue. (c)
Signal decay as a function of t2, extracted
at the cross-peak coordinates pinpointed by the square in panel b.
(d) Time–frequency transform[76] of
the decay trace in panel c showing the frequency (y-axis) and the time behavior (x-axis) of the main
beating components, corresponding to vibrational motions of the H
donor and acceptor groups.
Effect of H-bonds on the ultrafast dynamics of an H-bonded dimer
of BODIPY molecules.[69] (a) Molecular structure
of the dimer. (b) Purely absorptive 2DES map of the dimer collected
at t2 = 20 fs. The transition energies
of the two molecular moieties are highlighted in red and blue. (c)
Signal decay as a function of t2, extracted
at the cross-peak coordinates pinpointed by the square in panel b.
(d) Time–frequency transform[76] of
the decay trace in panel c showing the frequency (y-axis) and the time behavior (x-axis) of the main
beating components, corresponding to vibrational motions of the H
donor and acceptor groups.Another significant emerging aspect deals with the flexibility
of the scaffold and the different degree of conformational disorder.[66,72] It has been verified that conformational disorder affects predominantly
low-frequency vibrational modes, delocalized on the chromophores and
the scaffold. The role of low-frequency vibrational modes in the coherent
dynamics of complex systems represents a nodal issue in identifying
mechanisms capable of preserving electronic coherence in biological,
organic, and inorganic assemblies.[73−75] The decoherence dynamics
promoted by conformational disorder are thus emerging as an essential
ingredient to describe the dynamics and properties of multichromophore
compounds.
The coupling between the photoactive electronic
system and its environment plays a decisive role in the excited state
dynamics of biological and artificial molecular systems. To achieve
control over the coupling between the system and the thermal bath
in condensed matter is generally a difficult challenge. Nonetheless,
a recently proposed approach highly promising for technological application
is the exploitation of strong light–matter coupling. When a
strong coupling between an electromagnetic field and molecular moieties
is established, hybrid states, called polaritons, are formed, with
mixed molecular and photonic character. In this regime, both photons
and molecular excited states lose their individuality. The generic
setup to build polaritonic excitations consists of a nanostructure
able to confine the electromagnetic fields to the microscale and a
molecular moiety with one or more transitions nearly resonant with
the electromagnetic modes of the nanomaterial.[77] Typically, this corresponds to molecules embedded into
optical microcavities or assembled on the surface of a metal nanostructure
supporting plasmons.Theoretical predictions suggested that
the system–bath coupling properties can be controlled using
the polaron decoupling effect, in which a coherent interaction between
molecular excitons and photons reduces the reorganization energy,
leading to significant changes in the rates of photophysical processes.[78] These theoretical predictions have been recently
experimentally demonstrated by 2DES applied to a periflanthene derivative
film in a microcavity.[18] It was suggested
that the strong light–matter coupling established in this system
suppresses the dephasing of electronic coherences, possibly supporting
coherence-assisted processes. This approach appears highly promising
toward the development of quantum technologies devices where the promotion
of hybrid polariton states can control the dephasing of quantum coherence.
It is expected that 2DES measurements will play an essential role
in achieving a better understanding of the physical and dynamic phenomena
at the base of this still underexplored but encouraging effect.[19]
Semiconductor nanocrystals (quantum dots, QDs) have
attracted vast interest given their peculiar size-dependent optical
and electronic properties. Since the early 1990s, colloidal synthesis
has opened extraordinary possibilities for tuning their optical and
electronic properties by controlling size, shape, and crystallographic
structure. The applications of these colloidal nanostructures range
from optoelectronics, including photovoltaics, diodes, and photodetectors,
to bioimaging and photocatalysis.[79] Although
the technological exploitation of QDs is an already mature field,
several even more promising additional applications can be envisioned,
mainly connected with the possibility of exploiting their ultrafast
(coherent) photophysics, which represents still an under-explored
field. 2DES spectroscopy appears ideal to this aim, but it is only
recently that it has been effectively applied to QDs.[80]For example, ref (13) represents an excellent example of how it is
possible to benefit from the combined use of different 2DES experimental
schemes to achieve a comprehensive understanding of the ultrafast
relaxation phenomena in QDs samples. A fully noncollinear BOXCARS
setup has been selected for its better time resolution to access the
subpicosecond dynamics of hot excitons cooling, whereas a partially
collinear 2D pump–probe setup granted access to multiexciton
relaxations, whose characterization requires higher fluence and longer
time windows. These measurements provided a unique global visualization
of the sample dynamics in view of application to novel and innovative
nanomaterials.A particularly debated topic is the possibility of recording coherent
beating in the 2D signal amplitude of QDs samples. The capability
to exploit coherent quantum phenomena in nanometer scale materials
is at the forefront of the most recent quantum technology applications.
However, the development of this technology is strongly dependent
on a deep understanding of how to generate, manipulate, and characterize
a coherent superposition of quantum states in the nanosystems.In view of using QDs as candidates for quantum technology devices,
the time evolution of coherence superpositions of electronic levels
is of fundamental interest not only to understand the mechanisms of
dephasing but also to harness the quantum nature of the coherent phenomena
in devices.Although the first investigations on the ultrafast coherent dynamics
in semiconductors date back to the 1980s,[81] 2DES could really provide remarkable new insights into this topic.
Despite the noteworthy recent advancements in data acquisition and
analysis techniques, the experimental reports about coherent superpositions
of different excitonic bands in QD samples remain limited,[16,82−87] and the debate about their effective experimental detection is still
open.[80,87]The main reasons that complicate the detection of coherent dynamics
in QDs samples are (i) the inhomogeneous broadening, intrinsically
affecting QDs samples and resulting in a quick ensemble dephasing
(“fake decoherence”)[88] and
(ii) the contribution of the nonresonant response of the solvent affecting
the dynamics at short time delays (coherent artifact) and also contributing
at longer times through impulsive Raman modes.[13,80] Nonetheless, it was recently found that these two hindering effects
can be overcome through a suitable choice of size dimensions, ligands,
and solvent.[14,21] The demonstration that coherent
dynamics can emerge even from a sizable inhomogeneous ensemble is
a particularly relevant issue in view of quantum technology applications
and coherent control.[89]
Solid-State Materials and Operating Devices
The up-to-date proposals for the realization of QD-based quantum
devices are mainly using very low temperatures or room temperature
isolated units, where a single excitation per dot is considered, to
minimize decoherence effects.[89] However,
the possibility of assembling networks of coherently interacting dots
at ambient conditions, especially in the solid-state, is particularly
interesting for the possibility of large-scale integration and the
development of complex connectivity. Indeed, in the context of optical
information processing in solids, establishing controlled channels
of coupling within an ensemble of isolated units represents a truly
challenging but highly rewarding goal.To this aim, solid-state
assemblies of colloidally grown QDs[90] appear
highly promising. In solid-state assemblies of colloidal QDs, depending
on size dimensions and interdot distances, the coupling between different
QD units (interdot coupling) ranges from long distance
dipole–dipole interactions to short-range exchange interaction,
the last involving delocalization of wave functions over two or more
dots. The collective nature of excitations in these strongly interacting
samples can be ascertained by the presence of red-shifted bands in
the absorption and photoluminescence spectra[91,92] and improved charge transport,[90] as a
result of coherent delocalization. However, the effective exploitation
of strongly interacting QDs networks envisioned as fundamental units
of quantum circuits also requires the dynamical characterization of
these collective quantum mechanically coupled states in the ultrafast
time scale, although the challenging nature of these measurements
hindered for a long time a thorough investigation of these dynamics.[88]In refs (21, and 93), 2DES
has been applied to solid-state QDs materials, prepared using a self-assembly
method to create a disordered layered structure of QDs, coupled by
covalently bonded organic molecules (Figure ). Preliminary measurements by pump–probe
spectroscopy captured the presence of energy transfer rates among
QDs compatible with coherent mechanisms of energy transfer.[94] Nonetheless, it was only by applying 2DES that
it was possible to directly detect the dynamic evolution of a coherent
superposition of states delocalized over more than one QD. Supported
by theoretical simulations and through the comparison with the response
of noninteracting samples, 2DES provided solid evidence of interdot
coherences in such solid-state materials. Even more interesting, both
theoretical and experimental results seem to indicate that the electronic
coherences between excitons delocalized over the two dots have rather
long dephasing times (100–200 fs), likely connected to the
specific properties of these states.[93] Although
additional investigations are needed, these findings are opening new
avenues for the effective exploitation of these materials for quantum
technologies purposes, also providing important guidelines for the
choice of future materials to be employed in QD-based devices.
Figure 8
Characterization of interdot coherence in disordered solid-state
multilayer QDs films. (a) Pictorial representation of the sample.
(b) Purely absorptive 2DES map of the film collected at t2 = 22.5 fs. (c) Oscillating residues as a function of t2, extracted at the cross-peak coordinates pinpointed
by the square in panel b (upper line), and corresponding analysis
in terms of time-frequency transform[76] (lower
line).
Characterization of interdot coherence in disordered solid-state
multilayer QDs films. (a) Pictorial representation of the sample.
(b) Purely absorptive 2DES map of the film collected at t2 = 22.5 fs. (c) Oscillating residues as a function of t2, extracted at the cross-peak coordinates pinpointed
by the square in panel b (upper line), and corresponding analysis
in terms of time-frequency transform[76] (lower
line).Also in this case, the possibility of spreading the signal along
two dimensions facilitated the clear identification of interdot coherent
features among the other intradot dynamics, and this elected the 2DES
technique as one of the most informative tools at our disposal for
the screening of materials for quantum technologies.The application of 2DES to solid-state samples poses however several
challenges. In the 2DES investigations summarized in Figure a–c, the solid state
samples were thick isotropic disordered systems, assimilable to “solid-state
solutions”. However, for future quantum technology applications,
the use of ordered microscale samples or heterogeneous materials with
localized μm structural domains can be envisioned. For these
samples, the standard fully noncollinear geometry cannot be employed
because the necessary phase-matching condition can be achieved only
with longer focal lengths, leading to larger spot sizes (on the order
of hundreds of micrometers) and averaging over different spatial regions.[95] Moreover, this configuration also typically
requires samples with a considerable thickness, a condition not always
fulfillable in solid-state devices.To overcome this limitation, one of the latest and most promising
developments of 2DES is the possibility to replace the coherent optical
detection of a third-order signal with the detection of a signal directly
generated by an excited state population stimulated by a four-pulse
sequence. As described in Section , these new action-detected configurations are based
on fully collinear geometries, which permit the relaxation of the
phase-matching conditions.[47]The first advantage of the collinear alternative is that high-numerical-aperture
objectives can be implemented in place of long-length focusing optics.
In this way, all incident light arrives at the sample from the same
solid angle reducing the interaction volume and leading to spatial
resolution on the order of hundreds of nanometers. On the one hand,
this permits us to improve 2DES by adding spatial resolution, crucial
for investigating solid-state devices. On the other hand, this points
toward the exciting possibility of performing coherent multidimensional
spectroscopy at the single molecule level. In this context, local
microscopic 2DES using fluorescence detection has already been demonstrated,[96] and applied for example to single-layer transition
metal dichalcogenides MoSe2 samples, a promising platform
for new photonic, optoelectronic, and quantum devices.[97]Interestingly, it is expected that this spatially resolved 2DES
approach will be extended to other relevant device materials, such
as layered heterostructures, perovskites, bulk heterojunctions, single-wall
carbon nanotubes, microcavities, and so on.[22]Moreover, this configuration intrinsically calls for the combination
of 2DES with other spectroscopic techniques. Indeed, the detection
is not limited to the nonlinear polarization but potentially extends
to any kind of observable proportional to population conditions after
the fourth pulse interaction, like photocurrent, photoelectron emission,
or mass spectroscopy. In 2014 Karki et al.[20] applied photocurrent-detected 2DES to a PbS quantum dot photocell.
Subpicosecond evolution consistent with multiple exciton generation
has been found. Since the measurement is based on detecting the photocell
current in situ, the method is particularly suited
to study the fundamental ultrafast processes that affect the function
of the device. This opens new avenues to investigate and implement
coherent optimization strategies directly within working devices.
Reference (98) discusses
all the aspects that make photocurrent-detected 2DES a technique of
choice where the device’s photophysics is concerned.
Concluding Remarks
More than 20 years have passed since the first experimental realizations
of 2DES. In these first pioneering experiments, the attention was
focused mainly on the characterization of the mechanisms and dynamics
of the energy migration during light-harvesting in biological photosynthetic
antenna complexes. The sensitivity of the technique to interchromophore
couplings, its capability of identifying with unprecedented clarity
transport processes, and coherent dynamics have been crucial for the
blossoming of the quantum biology discipline. Twenty years later,
we forecast that 2DES will also have a similar role in the emerging
field of quantum technology. Novel experimental schemes and increasingly
sophisticated data analysis methodologies are being proposed nowadays,
capable of overcoming most of the drawbacks of the standard 2DES techniques
when applied to solid-state materials or (nano)devices for quantum
technology applications. In this context, the new implementations
based on fully colinear setups appear particularly appealing. First,
the possibility of moving from the detection of a coherent field to
a detection extended to any kind of observable proportional to the
final population conditions (fluorescence, photocurrent, photoelectrons,
etc.) holds great promise to expand the range of physical problems
tackled by 2DES. Second, the entire experiment can be managed only
through the use of a pulse shaper apparatus, with no need for complex
optical layouts. In this way, more compact and simplified setups can
be foreseen, which will ease the transition of 2DES from a niche technique
limited to highly specialized laboratories to a more user-friendly
experiment. This is a crucial step to move 2DES toward the technological
transition envisioned in quantum technology applications. Moreover,
the same pulse shaper apparatus can be programmed to generate several
different pulse sequences, including also a higher number of pulses
and different phase matching conditions. The high flexibility of this
approach is very promising in view of designing new experimental schemes
to address specific problems arising in the characterization of new
materials.This transition is partly already begun, and indeed, some of the
more recent results highlighted and discussed in this Perspective
are already testifying to the enormous potential and versatility of
the 2DES techniques to impact the field of nanosystems, semiconductors,
quantum technologies, and quantum devices.
Authors: Tobias Brixner; Jens Stenger; Harsha M Vaswani; Minhaeng Cho; Robert E Blankenship; Graham R Fleming Journal: Nature Date: 2005-03-31 Impact factor: 49.962
Authors: Yu Zhang; Thomas Kroll; Clemens Weninger; Yurina Michine; Franklin D Fuller; Diling Zhu; Roberto Alonso-Mori; Dimosthenis Sokaras; Alberto A Lutman; Aliaksei Halavanau; Claudio Pellegrini; Andrei Benediktovitch; Makina Yabashi; Ichiro Inoue; Yuichi Inubushi; Taito Osaka; Jumpei Yamada; Ganguli Babu; Devashish Salpekar; Farheen N Sayed; Pulickel M Ajayan; Jan Kern; Junko Yano; Vittal K Yachandra; Hitoki Yoneda; Nina Rohringer; Uwe Bergmann Journal: Proc Natl Acad Sci U S A Date: 2022-03-15 Impact factor: 12.779