Konstantin E Dorfman1, Frank Schlawin2, Shaul Mukamel1. 1. Department of Chemistry, University of California , Irvine, California 92697-2025, United States. 2. Department of Chemistry, University of California , Irvine, California 92697-2025, United States ; Physikalisches Institut, Albert-Ludwigs-Universität Freiburg , Hermann-Herder-Straße 3, 79104 Freiburg, Germany.
Abstract
We propose a novel femtosecond stimulated Raman spectroscopy (FSRS) technique that combines entangled photons with interference detection to select matter pathways and enhance the resolution. Following photoexcitation by an actinic pump, the measurement uses a pair of broad-band entangled photons; one (signal) interacts with the molecule and together with a third narrow-band pulse induces the Raman process. The other (idler) photon provides a reference for the coincidence measurement. This interferometric photon coincidence counting detection allows one to separately measure the Raman gain and loss signals, which is not possible with conventional probe transmission detection. Entangled photons further provide a unique temporal and spectral detection window that can better resolve fast excited-state dynamics compared to classical and correlated disentangled states of light.
We propose a novel femtosecond stimulated Raman spectroscopy (FSRS) technique that combines entangled photons with interference detection to select matter pathways and enhance the resolution. Following photoexcitation by an actinic pump, the measurement uses a pair of broad-band entangled photons; one (signal) interacts with the molecule and together with a third narrow-band pulse induces the Raman process. The other (idler) photon provides a reference for the coincidence measurement. This interferometric photon coincidence counting detection allows one to separately measure the Raman gain and loss signals, which is not possible with conventional probe transmission detection. Entangled photons further provide a unique temporal and spectral detection window that can better resolve fast excited-state dynamics compared to classical and correlated disentangled states of light.
Stimulated Raman spectroscopy
is one of the most versatile tools for the study of molecular vibrations.
Applications include probing time-resolved photophysical and photochemical
processes,[1−4] chemically specific biomedical imaging,[5] and chemical sensing.[6,7] Considerable effort has been devoted
to eliminate the off-resonant background, thus improving the signal-to-noise
ratio and the ability to detect small samples and even single molecules.
Pulse shaping[8,9] and the combination of broad-
and narrow-band pulses (a technique known as femtosecond stimulated
raman spectroscopy (FSRS)[1]) were employed.
Recent measurements of absorption spectra with entangled photons in
an interferometric setup[10−14] suggest a possibility to use more elaborate detection. Here, we
propose an interferometric FSRS (IFSRS) technique that combines quantum
entangled light with interferometric detection to significantly enhance
the resolution and selectivity of Raman signals. By counting photons,
IFSRS can further measure separately the gain and loss contributions
to the Raman spectra,[15] which is not possible
with classical FSRS.Entangled light is widely used in quantum
information,[16,17] secure communication,[18] and quantum computing[19] applications. It has been demonstrated that
the twin photon state may be used to manipulate two-photon absorption
ω1 + ω2 type resonances in aggregates,[20−23] but these ideas do not apply to Raman ω1 –
ω2 resonances. We show that this can be achieved
by using interferometric photon coincidence detection, which further
enhances the signal-to-noise ratio. Moreover, entangled two-photon
absorption has also been shown experimentally to scale linearly rather
than quadratically with the pump intensity,[21,24] thus allowing one to use very weak light intensities, limiting damage
and overcoming the photodetector noise when employing the photon coincidence
measurement.[25]In conventional FSRS,
an actinic resonant pulse first creates
a vibrational wave packet
in an electronically excited state (see Figure 1a,b). After a delay T, the frequency-resolved transmission
of a broad-band (femtosecond) probe Es in the presence of a narrow-band (picosecond) pump shows excited-state
vibrational resonances
generated by an off-resonant stimulated Raman process. The FSRS signal
is given by[26]where α is the electronic polarizability, denotes the
imaginary part, ⟨...⟩
= tr[...ρ], with ρ being the density operator of the entire
system, and is the expectation
value of the probe field
operator with respect to the classical state of light (hereafter, denotes classical
fields and E stands for quantum fields). H–′ is the Hamiltonian
superoperator[27] in the interaction picture
(see section S1 of the Supporting Information
(SI)), and denotes superoperator
time ordering. The
exponent in eq 1 can be expanded perturbatively
in field–matter interactions (see section S2 of the SI). Off-resonance Raman processes can be described
by the radiation–matter interaction Hamiltonian , where V is the dipole
moment and α is the off-resonant polarizability. In the present
applications, we expand the signal (eq 1) to
sixth order in the fields ∼ . The resulting classical FSRS signal is
given by the two diagrams in Figure 1c, which
translates into eqs S5 and S6 of the SI. All relevant matter information is contained in the two four-point
correlation functionswhere the retarded Green’s
function G(t) = (−i/ℏ)θ(t)e–i represents forward
time evolution with the free-molecule Hamiltonian and G† represents backward evolution. F involves one forward and two backward
evolution periods, while F contains two forward followed by one backward propagation. F and F differ by the final state of the matter.
In F (F), it is different (the same) from
the state prepared by the actinic pulse.
Figure 1
(Top row) Classical FSRS
level scheme for the tunneling model (a),
pulse configuration (b), and loop diagrams (for diagram rules, see
ref (37)) for classical
FSRS (c.) (d,e) The same as (b) and (c) but for IFSRS. The pairs of
indices (0,1) and so forth in (e) indicate the number of photons registered
by detectors s and r in each photon counting signal, (Ns,Nr).
(Top row) Classical FSRS
level scheme for the tunneling model (a),
pulse configuration (b), and loop diagrams (for diagram rules, see
ref (37)) for classical
FSRS (c.) (d,e) The same as (b) and (c) but for IFSRS. The pairs of
indices (0,1) and so forth in (e) indicate the number of photons registered
by detectors s and r in each photon counting signal, (Ns,Nr).To use entangled light in the IFSRS measurement, we first
generate
frequency and polarization entangled photon pairs via type-II parametric
down conversion (PDC).[28] The barium borate
(BBO) crystal pumped by a femtosecond pulse creates a pair of orthogonally
polarized photons that are initially separated by a polarizing beam
splitter (BS) in Figure 1d and then directed
into two arms of the Hanburry–Brown–Twiss interferometer.[29] Horizontally polarized beam s interacts with
the molecule and serves as a Raman probe in a standard FSRS setup,
whereas vertically polarized beam r propagates freely and provides
a reference. The time- and frequency-resolved detection via ultrafast
upconversion of the photons[30] in IFSRS
provides spectroscopic information about excited-state vibrational
dynamics of the molecule in the s arm. IFSRS has the following control
knobs: the time and frequency parameters of the single-photon detectors,
which can time the photons with up to ∼100 fs resolution,[30] frequency of the narrow-band classical pump
pulse ωp and, the time delay T between
the actinic pulse and the probe Es.The photon state produced by PDC has
two contributions, a vacuum
state and two-photon state with a single photon in the s mode and
single photon in the r mode. It is described by the wave functionwhere aω†(aω†) is the creation operator of a horizontally
(vertically) polarized photon and the two-photon amplitude Φ(ωs,ωr) is given by[22]where ωk0 = ωk – ω0, k = s,r is the frequency difference
between the entangled photon and the classical PDC-pump field that created an entangled pair.
In the
following simulations, we assumed a Lorentzian field envelope . T = [(1/νp) – (1/ν)]L, k = s,r is the time
delay acquired
by the entangled photon relative to the PDC-pump field due to group
velocity dispersion inside the nonlinear crystal. T12 = T2 – T1 is the entanglement time, which controls the timing
of the entangled pair. For a narrow-band PDC-pump , the sum-frequency ωs +
ωr is narrowly distributed around 2ω0 with bandwidth σ0. This has been used to selectively
prepare double exciton states in two-photon absorption.[21,22] For a broad-band PDC-pump, the frequency difference ωs – ω0 is narrow with bandwidth T–1, j = 1,2.[23] The output state of light in mode s may contain
a varying number of photons, depending on the order of the field–matter
interaction.In general, the twin photon state eq 4 is
not necessarily entangled. This can be determined by the Schmidt decomposition[31]where λk are the real positive
singular values of Φ and ψ(ϕ) form an orthonormal set of
eigenfunctions of ∫dω Φ(ωs,ω)Φ*(ωr,ω) (∫dω Φ(ω,ωs)Φ*(ω,ωr)), with ∑ λ = 1 for the normalized two-photon
state. A separable (unentangled) state has only one nonvanishing eigenvalue
λ1 = 1, whereas two or more components imply entanglement.
The degree of entanglement can be measured by the inverse participation
ratio rp ≡ (∑ λ2)−1. For the
two-photon amplitude in eq 5, the rich spectrum
of eigenvalues shown in Figure 2d indicates
that the state is highly entangled as rp ≈ 100. In addition, as can be seen from the inset in Figure 2a,b, the state (eq 5) is not
bound by the Fourier uncertainty ΔωΔt ≥ 1. In the following, we study effects of the entanglement
on Raman resonances.
Figure 2
(Left column) (a) Time–frequency Wigner spectrogram
for
classical light, (b) same as (a) but for the entangled twin state
given by eq 4. The insets depict a 2D prejection.
(Right column) (c) Window function (ω)
for FSRS (black) and IFSRS Φ*(ω,ω̅r)Φ(ω + iγa,ω̅r), with T1 = 110 fs (blue), T2 = 120 fs and T1 = 10 fs, T2 = 120 fs (red). (d) Spectrum
of the eigenvalues λ in the Schmidt
decomposition (eq 6) for the entangled state
with the amplitude (eq 5). The first two eigenvalues n = 1 and 2 are scaled with weights 0.25 and 0.5, respectively.
The remaining eigenvalues have no weighted scaling.
(Left column) (a) Time–frequency Wigner spectrogram
for
classical light, (b) same as (a) but for the entangled twin state
given by eq 4. The insets depict a 2D prejection.
(Right column) (c) Window function (ω)
for FSRS (black) and IFSRS Φ*(ω,ω̅r)Φ(ω + iγa,ω̅r), with T1 = 110 fs (blue), T2 = 120 fs and T1 = 10 fs, T2 = 120 fs (red). (d) Spectrum
of the eigenvalues λ in the Schmidt
decomposition (eq 6) for the entangled state
with the amplitude (eq 5). The first two eigenvalues n = 1 and 2 are scaled with weights 0.25 and 0.5, respectively.
The remaining eigenvalues have no weighted scaling.The IFSRS is given by the rate of a joint time-
and frequency-gated
detection of Ns photons in detector s
and a single photon in r when both detectors have narrow spectral
gating. This is given bywhere Γ represents the incoming light beams, such as the central frequency
and time and spectral and temporal bandwidth. In the standard Glauber’s
approach,[32] photon counting is calculated
in the space of the radiation field using normally ordered field operators.
Equation 7 in contrast operates in the joint
matter plus field space and uses time-ordered superoperators.[33] This is necessary for the bookkeeping of spectroscopic
signals. Both FSRS and IFSRS signals are obtained by the lowest (sixth-)
order perturbative expansion of eq 7 in field–matter
interactions (section S2 of the SI), as
depicted by the loop diagrams shown in Figure 1c and e, respectively. Measurements with a different number of photons
in the s arm are experimentally distinct and are given by different
detection windows governed by the multipoint correlation function
of the electric field (red arrows in Figure 1e). Details of the derivations for the field correlation functions
for the twin entangled state of light are given in section S3 of the SI.Figure 2 compares
field spectrograms that
represent the windows created by various fields. Figure 2a depicts a time–frequency Wigner function Ws(ω,t) = ∫–∞∞ (dΔ/2π)e–iΔ for the classical
probe field . The time–frequency
Fourier uncertainty
restricts the frequency resolution for a given time resolution so
that ΔωΔt ≥ 1. The Wigner
spectrogram Wq(ω,t;ω̅r) = ∫–∞∞ (dΔ/2π)Φ*(ω,ω̅r)Φ(ω + Δ,ω̅r)e–iΔ for the entangled twin photon
state is depicted in Figure 2b. For the same
temporal resolution as that in FSRS (ΔνΔt ≈ 3.7 ps·cm–1, which is
the Fourier uncertainty for the classical Lorentzian pulses), the
spectral resolution of IFSRS is significantly better (ΔνΔt ≈ 1.6 ps·cm–1). This is
possible because the time and frequency resolution for entangled light
are not Fourier conjugate variables.[22] The
high spectral resolution in the entangled case is governed by T–1, j = 1,2, which is
narrower than the broad-band probe pulse. Figure 2c demonstrates that the entangled window function Rq( for Ns = 1,2 (see eqs S35 and S31, SI) that enters the IFSRS (eq 9) yields a much higher spectral resolution than the classical R in eq S25 (SI).The molecular information required by the Raman
measurements considered
here is given by two correlation functions F and F (see Figure 1c,e and eqs 2 and 3). These are convoluted with a
different detection window for FSRS and IFSRS. F and F may not be separately detected in FSRS. However, in IFSRS,
the loss SIFSRS(0,1) and the gain SIFSRS(2,1) Raman
signals probe F, where
the final state c can be different from initial state
a. On the other hand the coincidence counting SIFSRS(1,1) signal
is related to F (both
initial and final states are the same a). Interferometric signals
can thus separately detect F and F.IFSRS for a Vibrational Mode in a Tunneling System. We demonstrated the combined effect of entanglement and interferometric
measurement by calculating the signals for the three-level model system
undergoing relaxation, as depicted in Figure 1a. Once excited by the optical pulse, the vibrational state of the
excited electronic state at the initial time has frequency ωa+ = ωa + δ. For a longer time, the
system tunnels through a barrier at a rate k and
assumes a different frequency ωa– = ωa – δ. The probability to be in the state with
ωa+ decreases exponentially as P+(t) = e–, whereas for ωa–, it grows as P–(t) = 1 – e–. This model is mathematically identical
to the low-temperature limit of Kubo’s two-state jump model
described by the stochastic Liouville equation (SLE).[34,35] The absorption line shape is given byThis gives two peaks with combined width governed
by dephasing γa and tunneling rate k. Similarly, one can derive the corresponding IFSRS signal SIFSRS( with Ns = 0–2 using SLE (see section S4 of the SI), which yieldswhere ν = – for Ns = 0,2
and ν = + for Ns = 1 and μ
= – for Ns =
1,2 and μ = + for Ns = 0, ω± = ωa± − ωc. Expressions for the Raman response Rq(, which depends on the window created by the quantum
field for different photon numbers Ns,
are given by eqs S27, S31, and S35 of the SI. The classical FSRS signal (eq 1) is given
by the similar expression, that is, SFSRS( = SIFSRS(2,1)[ω±] – SIFSRS(2,1)[−ω∓] by replacing the entangled detection
window Φ*(ω,ω̅r)Φ(ω
+ iγ,ω̅r) with a classical one .Figure 3 compares
the classical FSRS signal
(eq S24, SI) with SIFSRS(1,1) and SIFSRS(2,1) (eq 9). For slow modulation and a long dephasing
time k,γa ≪ δ, the
absorption (Figure 3a) has two well-resolved
peaks at ω±. The classical FSRS shown in Figure 3c then has one dominant resonance at ω+, which decays with the delay T, whereas
the ω– peak slowly builds up and dominates
at longer T. This signal contains both blue- and
red-shifted Raman resonances relative to the narrow-band pump frequency,
ω – ωp = ±ω±. If the modulation and dephasing rates are comparable to the level
splitting k,γa ≈ δ,
then the ω± resonances in the absorption (Figure 3b) and the classical FSRS (Figure 3d) become broad and less resolved. It is worth noting, that
there is no mirror symmetry between blue and red contributions around
ω = ωp. For ω > ωp,
the vibration probed by a Raman sequence of pulses at initial time
has frequency ω – ωp = ω+ = ωac + δ, which gets depopulated with time,
whereas the transition ω – ωp = ω– = ωac – δ gets populated.
In the case of ω < ωp, the higher vibrational
state is given by −ω–, and the lower
vibrational state is −ω+. Therefore, the actual
symmetry applies to ω± ↔ −ω∓.
Figure 3
(First column) (a) Absorption for a time-evolving vibrational
mode
versus ω – ωp for slow tunneling rate k = 18 cm–1 and narrow dephasing γa = 9 cm–1; (b) same as (a) but for fast
tunneling rate k = 53 cm–1 and
broad dephasing γ = 43 cm–1. (Second column) (c,d) Same as (a,b) but for a classical FSRS signal.
(Third column) (e,f) Same as (a,b) but for SIFSRS(1,1). (Fourth
column) (g,h) Same as (a,b) but for SIFSRS(2,1) given
by eq 9 versus ω̅s –
ωp. Parameters for the simulations: unperturbed vibrational
frequency ωac = 500 cm–1, level
splitting δ = 120 cm–1, ωp = 12500 cm–1, ω̅r = 15500
cm–1, and T2 = 120 fs. T1 = 10 fs for (c,d), and T1 = 110 fs for (e,f). The series of snapshots (slices of panels
c–h) are shown in Figure S1 of the SI.
(First column) (a) Absorption for a time-evolving vibrational
mode
versus ω – ωp for slow tunneling rate k = 18 cm–1 and narrow dephasing γa = 9 cm–1; (b) same as (a) but for fast
tunneling rate k = 53 cm–1 and
broad dephasing γ = 43 cm–1. (Second column) (c,d) Same as (a,b) but for a classical FSRS signal.
(Third column) (e,f) Same as (a,b) but for SIFSRS(1,1). (Fourth
column) (g,h) Same as (a,b) but for SIFSRS(2,1) given
by eq 9 versus ω̅s –
ωp. Parameters for the simulations: unperturbed vibrational
frequency ωac = 500 cm–1, level
splitting δ = 120 cm–1, ωp = 12500 cm–1, ω̅r = 15500
cm–1, and T2 = 120 fs. T1 = 10 fs for (c,d), and T1 = 110 fs for (e,f). The series of snapshots (slices of panels
c–h) are shown in Figure S1 of the SI.We next turn to IFSRS. For slow
tunneling and long dephasing, SIFSRS(1,1) is similar to the classical
FSRS as shown in Figure 3e. However, both temporal
and spectral resolutions remain
high even when the modulation is fast and the dephasing width is large,
as is seen in Figure 3f. The same applies to
the SIFSRS(2,1) signal depicted for slow tunneling (Figure 3g) and fast tunneling (Figure 3h). Note that high resolution for the SIFSRS(1,1) and SIFSRS(2,1) signals is achieved for different parameter regimes. At fixed T2 = 120 fs, SIFSRS(1,1) has high resolution at
short T1 = 10 fs, whereas long T1 = 110 fs works better for SIFSRS(2,1).
This difference may be attributed to the selection of field–matter
pathways by the different detection windows of the two signals. Another
important difference between the long and short dephasing (top and
bottom rows in Figure 3, respectively) is the
overall time scale. It follows from eqs S24 (SI) and 9 that the signals decay exponentially
with the dephasing rate ≈ e–2γ. Therefore, for a given range of 0 < T < 1.3 ps, the signals with long dephasing (panels c,
e, and g in Figure 3) are stronger than the
signals with fast dephasing (panels d, f, and g in Figure 3).Apart from the different detection windows,
there is another important
distinction between IFSRS (eq 9) and FSRS (eq
S24, SI) signals. In FSRS, the gain and
loss contributions both contain red- and blue-shifted features relative
to the narrow pump. The FSRS signal can contain both Stokes and anti-Stokes
components. Classical FSRS can only distinguish between red and blue
contributions. The counting signals, in contrast, can measure separately
the gain SIFSRS(2,1) and the loss SIFSRS(0,1) contributions
because these are not related to the classical causal response function,
which is a specific combination of the quantum matter pathways. Each
IFSRS signal is a different combination of pathways that can be expressed
uniquely in terms of the left and right superoperators.Role of Entanglement. We now show that entanglement
is essential for the improved resolution of Raman resonances, which
may not be achieved by classically shaped light. To that end, we calculate
the IFSRS signals (eq 9) for the correlated-separable
state of the field[36] described by the density
matrix ρcor = ∫–∞∞ dωs dωr|Φ(ωs,ωr)|2|1ω,1ω⟩⟨1ω,1ω|. This
is the diagonal part of the density matrix corresponding to the state
(eq 4) with amplitude (eq 5). This state is not entangled but yields the same single-photon
spectrum and shows strong frequency correlations similar to the entangled
case and is typically used as a benchmark to quantify entanglement
in quantum information processing.[31] We
further examine the fully separable uncorrelated Fock state given
by eq 4 with Φuncor(ωs,ωr) = Φs(ωs)Φr(ωr) with Φk(ωk) = Φ0/[ωk –
ω0 + iσ0], k = s,r with parameters
matching the classical probe pulse used in FSRS.SIFSRS(1,1) for
these three states of light are compared
in the left column of Figure 4. Figure 4a shows highly resolved Raman resonances for the
entangled twin state. The separable correlated state (see Figure 4b) has high spectral but no temporal resolution,
as expected from a continuous-wave time-averaged state in which the
photons arrive at any time.[36] The separable
uncorrelated state (see Figure 4c) yields the
same resolution as the classical FSRS signal in Figure 3d because the correlation function of the field factorizes
into a product of field amplitudes. Similar results can be obtained
for the SIFSRS(2,1) (see Figure 4d–f).
Derivations of the IFSRS signals for the correlated and uncorrelated
separable states are given in section S5 of the SI.
Figure 4
(Left column) SIFSRS(1,1) signal versus ω̅s – ωp for the entangled state (eq 5) (a) and correlated (b) and uncorrelated (c) separable
states. (d–f) Same as (a–c) but for the SIFSRS(2,1) signal.
All parameters are the same as those in Figure 3. The corresponding series of snapshots (slices of these plots) are
shown in Figure S2 of the SI.
(Left column) SIFSRS(1,1) signal versus ω̅s – ωp for the entangled state (eq 5) (a) and correlated (b) and uncorrelated (c) separable
states. (d–f) Same as (a–c) but for the SIFSRS(2,1) signal.
All parameters are the same as those in Figure 3. The corresponding series of snapshots (slices of these plots) are
shown in Figure S2 of the SI.In summary, we have demonstrated that stimulated
Raman signals
with quantum field and interferometric detection better reveal detailed
molecular information that is not possible by the standard heterodyne
detection of classical fields.
Theoretical Methods
In order to
use quantum light as a spectroscopic tool for studying
complex models of matter, the field–matter interactions must
be described in the joint field and matter space. This is done by
using the superoperator loop diagram formalism.[37] Order by order in the field–matter interaction,
the signals can be factorized into products of field and matter time-ordered
superoperator correlation functions.The leading third-order
signal is governed by a four-point correlation
function of the matter. Depending on the number of detected photons,
this four-point matter correlation function is convoluted with different
field correlation functions. For Ns =
0, Nr = 1, eq 7 is
given by a four-point correlation function for a quantum field. For
a twin photon state, it can be factorized as ⟨ψ|Es†(ωa)|Er†(ωb)Er(ωc)Es(ωd)|ψ⟩ = Φ*(ωa,ωb)Φ(ωc,ωd). For Ns = 2, it is given by an eight-point function
(see eq S8, SI), whereas for Ns = 1, it is governed by a six-point field correlation
function, as shown in eqs S9 and S10 (SI). For the two-photon state, normally ordered field correlation functions
with more than four fields vanish because extra annihilation operators
act on the vacuum state. Therefore, the higher-order non-normally
ordered field correlation functions can be recast as a four-point
correlation function times multiple field commutators, which are given
by where is the constant that is assumed to be a
flat function of its argument for a normalized two-photon state. Therefore,
for Ns = 2 and 1, the signal is proportional
to and , respectively. All three
IFSRS signals
with Ns = 0–2 scale as with field intensity, the same as classical
FSRS even though a different number of fields contribute to the detection.
Authors: K C Lee; M R Sprague; B J Sussman; J Nunn; N K Langford; X-M Jin; T Champion; P Michelberger; K F Reim; D England; D Jaksch; I A Walmsley Journal: Science Date: 2011-12-02 Impact factor: 47.728
Authors: Philipp Kukura; David W McCamant; Sangwoon Yoon; Daniel B Wandschneider; Richard A Mathies Journal: Science Date: 2005-11-11 Impact factor: 47.728
Authors: Dmitry Pestov; Robert K Murawski; Gombojav O Ariunbold; Xi Wang; Miaochan Zhi; Alexei V Sokolov; Vladimir A Sautenkov; Yuri V Rostovtsev; Arthur Dogariu; Yu Huang; Marlan O Scully Journal: Science Date: 2007-04-13 Impact factor: 47.728