Mónica Sánchez-Barquilla1, Antonio I Fernández-Domínguez1, Johannes Feist1, Francisco J García-Vidal1,2. 1. Departamento de Física Teórica de la Materia Condensada and Condensed Matter Physics Center (IFIMAC), Universidad Autónoma de Madrid, E-28049 Madrid, Spain. 2. Institute of High Performance Computing, Agency for Science, Technology, and Research (ASTAR), Connexis, Singapore, 138632 Singapore.
Abstract
In the past decade, much theoretical research has focused on studying the strong coupling between organic molecules (or quantum emitters, in general) and light modes. The description and prediction of polaritonic phenomena emerging in this light-matter interaction regime have proven to be difficult tasks. The challenge originates from the enormous number of degrees of freedom that need to be taken into account, both in the organic molecules and in their photonic environment. On one hand, the accurate treatment of the vibrational spectrum of the former is key, and simplified quantum models are not valid in many cases. On the other hand, most photonic setups have complex geometric and material characteristics, with the result that photon fields corresponding to more than just a single electromagnetic mode contribute to the light-matter interaction in these platforms. Moreover, loss and dissipation, in the form of absorption or radiation, must also be included in the theoretical description of polaritons. Here, we review and offer our own perspective on some of the work recently done in the modeling of interacting molecular and optical states with increasing complexity.
In the past decade, much theoretical research has focused on studying the strong coupling between organic molecules (or quantum emitters, in general) and light modes. The description and prediction of polaritonic phenomena emerging in this light-matter interaction regime have proven to be difficult tasks. The challenge originates from the enormous number of degrees of freedom that need to be taken into account, both in the organic molecules and in their photonic environment. On one hand, the accurate treatment of the vibrational spectrum of the former is key, and simplified quantum models are not valid in many cases. On the other hand, most photonic setups have complex geometric and material characteristics, with the result that photon fields corresponding to more than just a single electromagnetic mode contribute to the light-matter interaction in these platforms. Moreover, loss and dissipation, in the form of absorption or radiation, must also be included in the theoretical description of polaritons. Here, we review and offer our own perspective on some of the work recently done in the modeling of interacting molecular and optical states with increasing complexity.
Polariton is a general
term used to describe a hybrid light–matter
excitation and has been employed in many different situations in the
history of physics.[1] In this Perspective,
we focus on a small subset of these situations, namely, those in which
electronic transitions in molecules (often organic dyes) are used
to provide the material component. Even within this small subset,
a wide range of new phenomena are enabled by polariton formation,
among them Bose–Einstein condensation and polariton lasing,[2,3] quantum information processing,[4] long-range
excitation transport,[5,6] and control of chemical reaction
rates.[7] After a short overview of basic
physical concepts, we discuss our view on the current state of the
field and the challenges it faces, interesting recent developments,
and promising future directions. Despite the focus on molecules, we
here restrict the discussion mostly to “physical” properties
and ignore “chemical” properties such as (photo)reactivity
that have been the focus of a recent related perspective on polaritonic
chemistry.[8]Polaritons arise when
the interaction strength between light modes
and material excitations in a system becomes large enough that the
system enters the strong coupling (SC) regime.[9,10] In
this regime, the eigenstates of the system are not even approximately
represented by pure material or pure electromagnetic excitations (photons).
The resultant hybrid light–matter excitations are then called
polaritons. They were first observed in 1965[11] in a crystal, while surface exciton–polaritons where observed
approximately a decade later.[12] Before
introducing strong coupling in more detail, we note that the apparently
simple question of what should be called a “light mode”
is actually somewhat subtle, and, as for any question of semantics,
its answer is to some degree arbitrary. The only “pure”
light modes are free-space modes in vacuum. When using any material
structure that confines the EM field (often called “cavity”
in general in this context), the resulting “cavity photon modes”
are always partially material excitations.[8,13] As
an operational definition, the cavity modes are usually understood
as the modes supported by those parts of the full system for which
the relevant dynamics can be well-approximated through macroscopic
electromagnetism under linear response. This distinction leads naturally
to the framework of macroscopic QED,[13−21] discussed in more detail below. The resulting electromagnetism (EM)
modes then include those of optical (Fabry–Pérot) cavities[22,23] (as depicted in Figure a), photonic crystals,[24,25] and often also plasmonic
nanostructures (as illustrated in Figure b), whose resonances are formed due to geometrical
restriction of the free electron motion in metals and allow strongly
subwavelength field confinement to be achieved.[26−28] However, plasmon
modes are physically quite distinct from “optical” modes.
In Fabry–Pérot or photonic crystal cavities, the energy
is mostly stored in the electric and magnetic fields, and the dielectric
functions of the materials can often be treated as approximately constant
within the relevant range of frequencies. In contrast, the energy
in plasmonic resonances is stored in the electric field and the kinetic
energy of the electrons,[29] such that the
resulting modes are more correctly referred to as surface plasmon
polaritons themselves. We note that such structures should more correctly
be called plasmonic “resonators” or “antennas”
rather than “cavities”, although the latter use has
become common in the field.
Figure 1
Schematic representations of typical situations
in molecular polaritonics.
(a) Molecular ensemble inside a photonic microcavity and (b) single
emitter coupled to a plasmonic nanoantenna.
Schematic representations of typical situations
in molecular polaritonics.
(a) Molecular ensemble inside a photonic microcavity and (b) single
emitter coupled to a plasmonic nanoantenna.Plasmonic and other deep-subwavelength cavities are also somewhat
special in another regard. The EM fields at close distance to such
structures, where emitters are typically placed, are dominantly electrostatic
(or more precisely, quasistatic), as they are due to the Coulomb fields
of the displaced charges (e.g., electrons oscillating collectively).
This has fundamental consequences on the light–matter interaction,
as the local electric fields are then to a good approximation purely
longitudinal (corresponding to Coulomb interactions). In the standard
Coulomb gauge, they arise from the scalar potential and not the vector
potential that describes propagating radiation modes (i.e., transverse
EM fields).[8,13,30] As an additional complication, plasmonic systems can have complex
internal dynamics after excitation, e.g., leading to hot-electron
generation, which in turn can have significant effects on chemistry.[31,32] In this Perspective, we do not discuss such hot-electron effects.Once a suitable definition of what constitutes the light modes
in the system has been chosen, it becomes possible to distinguish
between the weak and strong-coupling regimes within that model. We
note that strong coupling itself is not necessarily a quantum effect
and can often be modeled through classical electromagnetism.[10,33] In that case, the material excitations are represented through the
dielectric function of the medium (e.g., through a resonance of Drude–Lorentz
form) or through a polarizable dipole for single emitters.[34,35]For a single quantum emitter approximated as a two-level system
coupled to a single photon mode within the rotating wave approximation,
the dynamics is described by the Jaynes–Cummings model.[36]where â and ↠are the annihilation and creation
operators of the photonic mode inside the cavity, σ̂± are the quantum emitter excitation and de-excitation
operators given by the corresponding Pauli matrices, g is the coupling strength between both constituents, and ωc and ωe are the cavity mode and emitter frequencies,
respectively. When the emitter and photon mode are on resonance, the
strong-coupling regime is entered when their mutual interaction overcomes
decoherence in the system, i.e., g ≳ γ,
where γ is a typical decoherence rate (the exact criterion that
should be used is somewhat arbitrary with several valid choices; see
ref (10) for a discussion).
In this regime, energy exchange between light and matter becomes a
coherent process: if only one of the components is initially excited,
this energy exchange is seen as an oscillatory behavior of the population
between both subsystems, the so-called vacuum Rabi oscillations occurring
at the vacuum Rabi frequency (or Rabi splitting), which in general
is given bywhere μ⃗ is the transition dipole
moment of the emitter and is the quantized electric field strength
of the mode, associated with one photon, at the emitter position.
Here, V is the effective volume of the cavity mode,
which gives an estimate of the volume within which a photon is confined
in such a structure, the correct definition of which in nanophotonic
devices has been the subject of intense theoretical activity over
the past decade.[37−39] Furthermore, we note that its definition in systems
with translation symmetry (e.g., a 2D Fabry–Pérot cavity
consisting of formally infinitely extended parallel mirrors) is somewhat
arbitrary, as it depends on the chosen quantization volume and carries
no physical information in that case.Physically, vacuum Rabi
oscillations correspond to the situation
where a photon can be emitted and reabsorbed several times before
it disappears from the system. In these conditions, the eigenstates
of the coupled system are hybrid light–matter states, and a
thorough understanding of the system can only be reached by considering
the coupled system as a whole. The two original excited states (emitter
and photon) transform into polaritonic states that are shifted up
and down in frequency by the coupling strength, with their difference
in energy given by the Rabi splitting. These two states are conventionally
called the lower polariton (LP) and upper polariton (UP). Figure a schematically shows
the formation of the upper and lower polaritons when the cavity mode
and the emitter frequency are on resonance, while Figure b shows the evolution of the
polariton frequencies when ωc and ωe are detuned from each other.
Figure 2
(a) Scheme of the hybridization of one
EM mode (purple) and one
quantum emitter (yellow). In the strong-coupling regime, an upper
(UP) and lower (LP) polariton are formed and are separated by the
Rabi splitting ΩR. (b) Energies of the polaritons
under nonzero detuning. The dashed lines show the uncoupled frequencies.
(a) Scheme of the hybridization of one
EM mode (purple) and one
quantum emitter (yellow). In the strong-coupling regime, an upper
(UP) and lower (LP) polariton are formed and are separated by the
Rabi splitting ΩR. (b) Energies of the polaritons
under nonzero detuning. The dashed lines show the uncoupled frequencies.We mention here that some care should be taken
to distinguish between
the concepts of polaritonic states and polaritons. The former are
the hybrid eigenstates of the coupled system, which do not depend
on the state of the system at any point in time and in that sense
always exist. The latter are the excitations of the system in a quasi-particle
picture, and thus only exist when the system is in one of the polaritonic
states. For one or a few emitters, each polaritonic state is unique.
However, for macroscopic systems containing many emitters, excitons
behave (approximately) as bosons,[40] a feature
that is inherited by the polaritons. The excitons and photonic modes
are then approximately harmonic oscillators, and their coupling produces
new (polaritonic) normal modes. Each of these modes contains a (formally) infinite number of polaritonic Fock states |0⟩, |1⟩, |2⟩, .... In this picture, having n polaritons in mode P means that the system is in state |n⟩. In the literature, the distinction between
polaritons, polaritonic states, and polaritonic modes is not always
made explicit, which can cause some confusion. Which of the three
is meant is usually clear from the context.For single emitters,
reaching the SC regime is extremely challenging,
as the single-emitter coupling strength g has to
become comparable to the emitter and cavity decoherence rates. This
can be achieved by either increasing the coupling strength or decreasing
the decoherence rates sufficiently. This was first achieved in 1985
by working with long-lived emitters and cavities at cryogenic temperatures,
in a microwave cavity with superconducting mirrors.[41] Rabi oscillations in the system were explicitly measured
two years later.[42] In 2004, the SC regime
for a single quantum dot in a semiconductor micropillar cavity was
achieved, with a Rabi splitting of ∼100 μeV.[43] These approaches, where the absolute coupling
strength is a small fraction of the excitation energy, necessarily
require very long-lived emitters and cavity modes, which in turn implies
cryogenic temperatures. More recently, the strong-coupling regime
has been approached at room temperature for single quantum emitters
by using extremely localized surface plasmons in narrow gaps,[44,45] which support light confinement in deeply subwavelength volumes.[46−48] The estimated single-emitter Rabi splitting achieved in refs (44) and (45) was 120 and 90 meV, respectively,
both at the limit of the strong-coupling regime. Very recently, strong
coupling and quantum nonlinearity have been observed for a single
molecule at cryogenic temperature,[49] where
the molecule behaves as an effective two-level system.Strong
light–matter coupling is much easier to achieve in
the collective case where an ensemble of N close
to identical quantum emitters interacts with a photonic mode (as described
by the Tavis–Cummings model[50]).
In that case, the effective coupling strength increases with the number
of emitters as g = g√N.[40] This enhancement significantly simplifies entering the strong-coupling
regime and is the basis for most experiments in the field of molecular
polaritonics. It occurs because an excitation in this case can be
coherently distributed over the N emitters, forming
a so-called bright state with increased light–matter coupling.
At the same time, all N – 1 orthogonal ways
of distributing an excitation over the emitters show negligible coupling
to the cavity mode due to destructive interference between the dipole
transitions in the different emitters. These superpositions are the
so-called dark states, which play a major role in molecular polariton
dynamics.[51,52]Collective strong coupling was first
realized in 1975 using molecular
vibrations coupled to surface phonon polariton modes[53] and soon after for molecular excitons coupled to surface
plasmon polaritons[54] and atoms coupled
to high-Q cavities, first in the microwave[55] and then in the optical[56] regime. Strong coupling to semiconductor (Wannier) excitons was
first realized in 1992.[57] Such systems
reach Rabi splittings in the range of 1–20 meV.[57−59] Organic semiconductors support much larger Rabi splittings, ΩR ≳ 100 meV, due to their high density and large dipole
moments, so that strong coupling can be observed at room temperature.[60] We note that the maximally reachable Rabi splitting
for a given material is determined by the density of dipoles, but
largely independent of the specifics of the photon mode.[61−63] This can be understood by noticing thatwhere ρ is the molecular
number density,
and we have used the fact that the effective mode volume is related
to the physical volume occupied by the mode. The number of molecules
interacting with the mode is thus proportional to the molecular density
times the volume. A more careful calculation shows that the Rabi splitting
depends on the dipole density multiplied by a “filling factor”
between 0 and 1 that determines what fraction of the mode volume is
filled with the molecular material (weighted with the position-dependent
quantized field strength).[39,61] When a cavity is completely
filled with the material in question, the Rabi splitting is equal
to the bulk polariton splitting obtained by Hopfield in 1958.[64] These facts explain why similar Rabi splittings
have been observed in the literature for very different photonic systems,
such as Fabry–Pérot cavities,[60] plasmonic surfaces,[65] plasmonic hole
arrays,[66] isolated particles and arrays
of them,[67,68] and nanoparticle-on-mirror setups.[45] Several kinds of organic materials can reach
the so-called ultrastrong-coupling regime,[69] in which the Rabi splitting is a significant fraction of the bare
excitation energy, with record values close to and above ΩR = 1 eV.[70−72] Apart from the molecular density, the alignment of
the dipole moments of the molecules relative to the electric field
inside the cavity also modifies the Rabi splitting. While most experiments
use disordered materials with randomly oriented molecules, a factor
of up to √3 can be gained in the Rabi splitting when the molecules
are perfectly aligned with the electric field. Exploiting this has
allowed large Rabi splittings up to ΩR = 1.8 eV to
be achieved.[73] The large reachable coupling
strengths in organic materials also mean that cavity modes with very
large decay rates κ (or equivalently, short lifetimes τ
= 1/κ or low quality factors ωc/κ) can
be used while still reaching the strong-coupling regime.As
noted before, organic molecules are very well-suited for reaching
large Rabi splittings due to the large transition dipole moments and
high densities. However, they have complex internal structure due
to their rovibrational degrees of freedom and often cannot be approximated
as two-level systems. On one hand, this complicates their use and
study as idealized (two-level) quantum emitters. On the positive side,
this opens up the opportunity to modify their internal structure and
dynamics through strong light–matter coupling or conversely
to exploit the internal dynamics to achieve new photonic functionalities.
The former type of applications are exemplified by the field of polaritonic
chemistry, which aims at modifying chemical processes such as photochemical
reactions through strong light–matter coupling.[8] The latter type of applications typically rely on the fact
that molecules show strong exciton–vibration interactions,
such that molecular vibrations can drive polariton relaxation or transfer
between different polaritonic states.[74,75] This can enable
processes such as organic exciton–polariton lasing and condensation[3,76,77] or energy transfer between different
molecular species even over long spatial distances.[5,6,78−82] Note that it has been also shown that, even under
the two-level system approximation, SC phenomena involving organic
molecules offer possibilities for nonclassical light generation not
attainable by means of other types of quantum emitters.[83,84]When describing light–matter interactions in molecular
systems,
in particular in the strong-coupling regime, including all the degrees
of freedom in both constituents is an arduous task. Then, many models
are focused on taking into account the complexity of one of them;
that is, the theoretical effort is focused either on the description
of the complexity of the photonic structures or to include to some
extent the vibrational structure of the molecules. In what follows,
we summarize some of the theoretical challenges that remain in both
paths.
EM Field Quantization in Complex Geometries
Many different kinds of “cavities” can be used to
achieve strong coupling in the collective regime, while few- or single-molecule
strong coupling necessarily requires deep-subwavelength confinement
of light. In general, any cavity setup is determined by “macroscopic”
structures consisting of large numbers of atoms, such as Fabry–Pérot
cavities, photonic crystals, and metallic nanoparticles or surfaces.
Within these setups, one or several microscopic quantum emitters such
as atoms, molecules, or point defects are placed. As discussed above,
it is then customary to treat the macroscopic structure through Maxwell’s
equations and formally treat the modes arising from these equations
as the EM modes of the system.In order to describe light–matter
interactions at a quantum
level, these EM modes have to be quantized, which is significantly
more challenging than the quantization of free EM modes in conventional
quantum electrodynamics. For one, the presence of material structures
complicates the solution of eigenmodes, which often is only possible
numerically. Nowadays, many commercial and open source packages are
available to solve Maxwell’s equations in these situations.
Furthermore, these light modes will be lossy, often highly so, due
to both material losses and leakage to the far field. Only in some
approximations do lossless states exist, e.g., when assuming the existence
of perfectly conducting mirrors or infinitely long lossless and defect-free
waveguides, etc. None of these are typically good approximations for
the kinds of structures used in molecular polaritonics. Still, when
losses are small enough, it can be a reasonable strategy to quantize
fully bound modes in a fictitious lossless system and then treat the
losses as small perturbations on top of that.Alternatively,
when dealing with small enough nanoparticles with
localized resonances (such as plasmonic nanoparticles) for which radiative
losses are small due to inefficient emission, the so-called quasistatic
approximation is often applicable. In this approximation, retardation
effects, and therefore EM propagation into free space (or bulk dielectric
media), is neglected, resulting in purely longitudinal fields. In
this limit, semianalytical solutions are often again possible, e.g.,
using transformation optics,[85−87] with the resulting modes being
fully bound while still describing the material losses. Since subwavelength
confinement is a prerequisite for the quasistatic approximation, these
material losses will always be significant.[29] One advantage of the quasistatic approximation is that the EM modes
can be described by a scalar potential, which simplifies the treatment
of beyond-dipole interactions.[88−90] Another advantage of the quasistatic
approximation is that for metals described by a dielectric function
of Drude form the resulting eigenmodes will always correspond to uncoupled
Lorentzians in the spectral density (discussed in more detail below),
which allows for a straightforward quantization procedure of the resulting
modes.[88,90,91] Radiative
losses can also be included a posteriori, e.g., by calculating the
effective dipole moment of the localized resonances.[88,92,93] These quasistatic treatments
of plasmonic modes have led to analytical insights into different
aspects of strong light–matter coupling in metal nanostructures.
On one hand, they have shown that molecular degrees of freedom such
as the presence of light-forbidden transitions can be harnessed to
tailor polaritonic properties.[88,92] On the other hand,
they have also revealed different strategies to exploit the polaritonic
(originally excitonic) quantum nonlinearities for nonclassical light
generation in these deeply subwavelength systems.[93]When the quasistatic approximation is not appropriate
and retardation
effects have to be taken into account, the most general and powerful
approach to nonetheless obtain a quantized description of the EM field
is macroscopic QED. This is a formalism that quantizes the EM field
in arbitrary structures, including dispersive and absorbing materials.
A particularly appealing feature of this approach is that the quantized
EM modes are fully described by the dyadic Green’s function G(r, s, ω) of the classical
Maxwell equations, which can be obtained from numerical solvers. This
can be conceptually understood from the fact that Maxwell’s
equations are the wave equations describing the dynamics of EM fields,
which remains true after quantization. A recent review about macroscopic
QED in the context of nanophotonics can be found in ref (13). We note here that, although
the classical description of the EM environment is valid for a wide
variety of physical situations, it breaks down when the material and
the emitters are physically close enough that electronic wave functions
overlap,[94,95] which happens at subnanometer separations.Within macroscopic QED,[19,20] the Hamiltonian for
multiple emitters in the multipolar coupling scheme (Power–Zienau–Woolley
picture) and within the dipole approximation can be written aswhere f̂λ(r, ω)
and f̂λ†(r,
ω) are bosonic annihilation and creation operators of the medium-assisted
EM field, with λ = {e, m} labeling electric and magnetic contributions. H and μ are the bare Hamiltonian and dipole operator
of emitter k. The electric field operator Ê(r) = Ê+(r) + Ê–(r), where Ê+(r) = (Ê–(r))† is defined
bywhere Gλ(r, s, ω)
is closely related to the standard
dyadic Green’s function G(r, s, ω).[19,20]It can be shown that the
action of the EM environment on the emitters
is fully characterized by the generalized spectral densitywhich is determined by the
classical dyadic
Green’s function and which we give here directly in the form
generalized to several emitters and several possible dipole orientations
per emitter.[96] Here, n and m are combined labels for the emitter and the
transition directions that are taken into account (up to three per
emitter), with u the unit
vector describing the orientation and r the position of the corresponding emitter. The diagonal elements n = m define the coupling between the EM
field and each dipole transition, while the off-diagonal elements n ≠ m define the photon-mediated
interaction between emitters. Notice that in the weak-coupling limit,
the Markov approximation can be used to obtain decay rates and environment-induced
dipole–dipole interactions, which are determined by the imaginary
and real parts of the Green’s function, respectively.[97]For a single emitter with only a single
relevant dipole transition
(i.e., a two-level system), the matrix-valued generalized spectral
density reduces to a scalar function. It is then customary to include
the (single) dipole transition matrix element into the definition,
giving the conventional scalar spectral densitywhere μ is
the transition
dipole moment and r is the position of the single emitter.
A schematic picture of this physical magnitude is rendered in the
top panel of Figure b. For the many situations where the classical EM spectral density
can be used, i.e., in systems where the electronic wave function overlap
between material elements and emitters is negligible, the EM environment
is a continuum that can be treated as a bath. This makes all the theoretical
tools of the field of open quantum systems available. As noted above,
in the weak-coupling regime, the bath can be treated perturbatively
through the Markov approximation, which just induces level shifts
(often assumed to be included in the emitter frequency ωe and thus neglected) and radiative decay with rate γr = 2πJ(ωe).
Figure 3
(a) Sketch
of the chain mapping model: (i) quantum system coupled
to a discrete set of environment modes; (ii) quantum system coupled
to the (collective) reaction mode, with this mode coupled to a residual
bath of modes; (iii) chain mapping for the environment modes after n steps, with a residual bath of N – n modes at the end of the chain. (b) Sketch of the few-mode
quantization model for one quantum emitter. The spectral density of
the model can be fitted to the one obtained classically from the Green’s
function. Therefore, the couplings to the interacting modes g, their frequencies and coupling
ω, and the dissipative terms κ can be known. Panel (a) is reprinted from
ref (98) under the
terms of the Creative Commons Attribution 4.0 International license.
Copyright 2021 MDPI. Panel (b) is reprinted from ref (99) under the terms of the
Creative Commons Attribution 4.0 International license. Copyright
2021 American Physical Society.
(a) Sketch
of the chain mapping model: (i) quantum system coupled
to a discrete set of environment modes; (ii) quantum system coupled
to the (collective) reaction mode, with this mode coupled to a residual
bath of modes; (iii) chain mapping for the environment modes after n steps, with a residual bath of N – n modes at the end of the chain. (b) Sketch of the few-mode
quantization model for one quantum emitter. The spectral density of
the model can be fitted to the one obtained classically from the Green’s
function. Therefore, the couplings to the interacting modes g, their frequencies and coupling
ω, and the dissipative terms κ can be known. Panel (a) is reprinted from
ref (98) under the
terms of the Creative Commons Attribution 4.0 International license.
Copyright 2021 MDPI. Panel (b) is reprinted from ref (99) under the terms of the
Creative Commons Attribution 4.0 International license. Copyright
2021 American Physical Society.In the more interesting situation where the Markovian approximation
is not applicable, there are several available methods to treat a
bath of harmonic oscillators (the photon modes) exactly using advanced
computational tools. One possibility is to solve the Heisenberg equations
of motion while adding stochastic quantum noise.[100] Another alternative is the cumulant expansion,[101−103] which is based on solving the Heisenberg equations of motion for
the correlations between operators and truncating the resulting expansion
at a given order. It is in this sense an extension of mean-field approaches
to arbitrary order. For small numbers of molecules (or a single one),
relatively high orders of the correlations are needed to accurately
describe the dynamics even in the presence of photonic continua,[104] while for large numbers of molecules, the expansion
converges much earlier.[105] For cases where
it works, this expansion provides a relatively low-cost approach that
can handle situations that are difficult to treat using other approaches.
For example, it can predict the effects of fluctuations on the lasing
behavior of an organic-molecule polaritonic system taking into account
the multimode character of the cavity, which leads to a switching
of lasing behavior between different polaritonic modes, either those
resonant with maximal gain or those at the bottom of the polariton
dispersion.[105]Several other commonly
used approaches rely on the so-called chain
mapping, an orthogonal transformation that maps the Hamiltonian of
one emitter coupled to a continuum of modes to a chain-like Hamiltonian
where the emitter is only coupled to the first site, which corresponds
to a reaction mode, i.e., a collective environment mode, in an infinite
string of modes coupled through nearest-neighbor interactions.[106−108]Figure a shows a
sketch of this transformation. In this form, tensor network approaches
that represent a high-dimensional wave function as a product of many
lower-dimensional matrices (a so-called matrix product state) become
highly efficient as the entanglement in an effective 1D system such
as a chain is limited. Tensor network approaches depend exactly on
a truncation of the possible entanglement between different parts
of the system. In the context of molecular polaritonics, they have
been shown to allow the description of several molecules coupled to
complex environments.[109−111] A fully converged tensor network calculation
gives exact results, but becomes computationally challenging when
long propagation times are desired as the entanglement grows over
time. Furthermore, the formally infinite chain has to be truncated
at finite length in any realistic calculation, with the required length
increasing with propagation time (to prevent unphysical reflections
from the end of the chain). In order to decrease the length of the
chain and access long times with low computational effort, it is possible
to introduce fictitious losses along it that lead to damping of the
propagating excitations (similar to the absorbing potentials used
in many areas of physics).[98] Another approach
is to employ transfer tensors, which can be used to propagate to arbitrary
times with linear computational cost,[112] or the construction of process tensors and their recompression through
tensor network techniques.[113]While
the description of the EM modes as a structured continuum
described by the spectral density is formally exact, it is often advantageous
and desired to obtain a description of the environment in terms of
a few discrete modes, corresponding to the physical image of isolated
cavity modes. When losses are included, these are not true eigenmodes
of the system, but resonances with a given line width embedded in
the continuum. Several methods to achieve such a few-mode quantized
description have been developed in the past few years. One is based
on quasinormal modes, which are eigenmodes of the Maxwell equations
including losses with complex frequencies.[114,115] They can be used to expand the electric field solutions based on
a master equation approach[116] or explicitly
quantized such that the EM field is represented in terms of discrete
bosonic modes.[117,118] In this approach, the discrete
modes are defined as superpositions of the bosonic field operators f̂λ(r, ω) of macroscopic
QED with coefficients determined by the quasinormal modes obtained
from classical EM calculations, and the resulting modes are orthonormalized
to obtain approximate discrete lossy modes.An alternative approach
that does not require calculation and explicit
quantization of quasinormal modes is based on the fact that two systems
with the same spectral density are indistinguishable for an emitter.
This allows the construction of a model system consisting of a few
coupled discrete modes that are themselves coupled to a background
bath and reproduce the full spectral density.[99]Figure b shows a
sketch of that model. The parameters of the model, which are obtained
through fitting of the spectral density, are the coupling between
the emitter and the discrete modes g, the frequencies of these modes and their couplings
ω, and their dissipation κ. The coupling to the background modes is
spectrally flat (by construction) and thus leads to Markovian dynamics
that can be represented in a Lindblad master equation, such that the
full EM continuum is represented by a collection of lossy and coupled
discrete modes in the master equation. This approach is not only computationally
efficient but also allows describing the EM environment in the language
of cavity QED and quantum optics. The fact that the discrete modes
are mutually coupled makes it able to reproduce even complex interference
phenomena between the EM modes in the spectral density. This is especially
relevant for hybrid cavities where different types of EM modes (such
as localized plasmonic resonances and standing-wave modes) interfere.
The coexistence of several interacting and decaying modes in such
subwavelength cavity QED systems can lead to complex emitter and field
dynamics that are not captured by standard models of quantum optics
and cavity QED and are only starting to be explored. While originally
developed for a single emitter,[99] we have
recently extended the approach to the case of several emitters[96] or one emitter with several contributing transitions
(such as different orientations of the dipole moments). A similar
model as in the single-emitter case can then be used to fit the generalized
spectral density, eq . This approach is then able to capture the effect of a complex mode
structure on emitter dynamics and, for example, population transfer
between emitters. As an example, it can describe how the dynamics
of population transfer between two emitters coupled through a multimode
cavity can be modified by the presence and excitation state of a third
emitter.[96]
Introducing
Molecular Complexity
For the description of the molecules,
we focus on approaches that
are well-adapted for describing “good” molecular emitters,
meaning ones where the first electronically excited state is relatively
stable against nonradiative decay and photochemical reactions do not
take place. For such emitters, it is often a good approximation to
represent the nuclear potential energy surfaces as harmonic oscillators,
which significantly simplifies the treatment. When more chemical detail
is needed, a wide variety of methods are nowadays available, but doing
so typically limits the level of description of nuclear motion. A
discussion of such methods focusing on chemically accurate descriptions
can be found in a related recent perspective on polaritonic chemistry.[8]As detailed in the Introduction, the simplest
approach is to treat molecules as two-level systems. This can be well-justified
for studies at cryogenic temperatures where vibrational sublevels
are individually resolved and addressable.[49,119] At room temperature, the influence of the vibrational motion of
the molecule can be approximately included by adding a pure dephasing
term in a Lindblad master equation description. This can be understood
as arising from an exciton–vibration coupling term treated
through the Markov approximation. Such a treatment allows modeling
the influence of molecular vibrations on processes where vibration-induced
transitions between the polaritons and dark states do not dominate
the dynamics. One such example is coherent polariton-mediated long-range
exciton conductance (i.e., energy transport).[120,121] In such systems, it was found that the coherent nature of the polaritons
only becomes realized and significantly enhances transport when the
Rabi splitting significantly surpasses the dephasing rate.While
modeling pure dephasing through a Lindblad term can give
some insight into the vibration-induced decoherence of the molecules,
this treatment is not fully correct. Since under strong coupling the
molecular exciton state gets distributed over the polaritonic modes,
the Markov approximation that was originally performed for the emitter
by itself to obtain a pure dephasing term is not valid anymore.[122] Including it without further modification in
the strongly coupled system leads to artificial population transfer
between the polaritons and dark states, with equal rates for pumping
of energy from the reservoir of vibrations to the system as for loss
of energy from the system to the reservoir. This is unphysical when
the Rabi splitting is comparable to or larger than the thermal energy,
a condition that is essentially always fulfilled in molecular exciton–polariton
strong coupling. This problem can be resolved by applying the Markov
approximation after taking into account the strong coupling, e.g.,
by using a Bloch–Redfield approach.[79,80,123,124] This approach
captures the fact that vibration-induced transitions between states
preferably lead to relaxation, i.e., loss of energy to the bath of
molecular vibrations. This one-way transfer to the lowest state in
the excitation manifold can be exploited to selectively excite states
with a desired characteristic in polaritonic systems and in particular
can be exploited to induce long-range energy transfer between different
molecular species driven by their local vibrations and enabled by
the nonlocal character of the polaritons.[5,6,78−82]When the exciton–phonon coupling is
sufficiently strong
that the above approach breaks down, it becomes necessary to explicitly
include the vibrational modes of the molecules. The simplest approach
is the so-called Holstein model, which treats only a single vibrational
mode and describes each molecule as two displaced harmonic oscillators.
For multiple emitters, this leads to the so-called Holstein–Tavis–Cummings
model,[125,126] within which each electronic level is represented
by several vibrational sublevels. Within this model, the effect of
the vibronic coupling can be studied, so an analysis of nuclear dynamics
in molecules under strong coupling is feasible. Along this line, it
has been predicted that electron transfer between different excited
states can be enhanced or suppressed.[126] The physical effect behind these changes is a decoupling of vibrational
modes from the polaritons due to the collective nature of the excitation.
Similar effects also occur in molecular J- and H-aggregates outside
of cavities, where the collective nature arises due to dipole–dipole
interactions between the monomers and leads to significantly reduced
line widths.[127] Within the Holstein–Tavis–Cummings
model, the inclusion of vibronic sublevels and the concomitant emergence
of dark vibronic polaritons (collective light–matter states
that weakly absorb but strongly emit radiation) allows for a better
description of the spectroscopy and dynamics of organic microcavities
in the strong-coupling regime.[128−130] The inclusion of vibrational
levels is also highly relevant for the description of phenomena such
as organic polariton lasing and polariton condensation.[125,131,132]An extension of the Holstein–Tavis–Cummings
model
that allows for more realistic molecular structure is to consider
more complex potential energy curves instead of harmonic oscillators,
permitting the treatment of vibrational nonlinearities and (photo)chemical
reactions within a relatively simple model (especially if only a single
vibrational degree of freedom is treated). The hybridization of the
potential energy surfaces in the strong coupling regime then leads
to hybridized polaritonic potential energy surfaces (PoPES), which
have mixed photon–matter properties.[51,133,134] A schematic representation of
these PoPES can be found in Figure . Within this approach, the polariton decoupling of
the vibrational modes can be easily understood from the fact that
a single excitation is distributed over many molecules in a polaritonic
state; that is, each molecule is only excited with a small probability
amplitude and spends most of the time in its electronic ground state.
The polaritonic potential energy surface then follows the ground-state
one. This fact allows designing new potential energy landscapes in
the coupled system by “copying and pasting” together
excited-state and ground-state-like potentials from different nuclear
configurations depending on whether the system is on resonance with
the cavity or not at the specific configuration.[134]
Figure 4
Conceptual potential energy surfaces for one cavity mode and one
molecule at different coupling strengths: (a) weak coupling; (b, c)
strong coupling. The color represents the fraction of each constituent.
Reprinted with permission from ref (51). Copyright 2017 American Chemical Society.
Conceptual potential energy surfaces for one cavity mode and one
molecule at different coupling strengths: (a) weak coupling; (b, c)
strong coupling. The color represents the fraction of each constituent.
Reprinted with permission from ref (51). Copyright 2017 American Chemical Society.Assuming that vibrational modes are harmonic oscillators
but taking
into account all degrees of freedom for the molecules (typically hundreds),
and potentially of the surrounding solvent or polymer host material,
one can again rely on tensor network techniques as discussed above
for the photonic modes. The molecular vibrations are then represented
by an independent chain of harmonic oscillators.[109−111,135] This approach describes the
initial coherent oscillation of the nuclear wavepacket and its influence
on the polariton dynamics, as well as its gradual suppression due
to the presence of a multitude of modes. When the exact dynamics of
the vibrational modes are not desired, the bath of harmonic vibrational
modes can be represented through its correlation function and simulated
using the time-evolving matrix product operator (TEMPO) method.[136,137] This uses a tensor network to describe the system’s history
over a finite memory time and can thus represent non-Markovian dynamics.
Combining this technique with a mean-field approximation further reduces
the problem size.[138] This method can thus
describe the vibration-induced dynamics and dephasing of the molecular
wavepackets over long times within a fully quantized approach.We note at this point that although many effects can be understood
by the use of the previous models, all of them constitute strong approximations
for the molecular structure. In particular, the use of harmonic oscillators
to describe the vibrational modes precludes the description of any
nonlinear vibrational effects or of chemical transition states, conical
intersections, etc. However, a full quantum description of the molecules
is an extremely challenging task and only possible for small molecules.
To give a more complete picture by including all degrees of freedom
inside the molecules requires utilizing quantum chemistry and ab initio
approaches.[8]
Summary
and Outlook
In this article we have provided a perspective
on the current status
of the theoretical investigation devoted to analyzing the exciting
physics in the emergent field of molecular polaritonics. This area
of research deals with the strong light–matter coupling regime
that appears between electronic/vibrational excitations within (organic)
molecules and confined light fields. As for the light field component,
a photonic structure that acts as a cavity is needed. Depending on
the cavity used, strong coupling can be reached by utilizing a large
ensemble of molecules or just one or a few of them, depending on whether
or not subwavelength confinement is achieved.The theoretical
description of the EM modes that arise in these
photonic structures, which in general are lossy, is then a challenging
task. When the cavities present small losses, they can be treated
perturbatively, while for small enough subwavelength cavities, the
quasistatic approximation can be used, which allows for semianalytical
solutions. However, in many physical situations, a fully quantized
description of the EM field in photonic structures is required. Here
we have shown how the macroscopic QED formalism provides the necessary
theoretical and numerical tools to accurately describe light–matter
strong coupling in arbitrary structures. Within this framework, the
spectral densities that characterize the coupling between one or several
quantum emitters and confined EM modes are fully determined by the
classical Green’s functions, which are calculated using standard
numerical solvers of Maxwell’s equations in complex EM media.
Based on macroscopic QED, it is then feasible to develop approaches
that allow for a tractable treatment of complex photonic environments.
Among these simplified treatments, the most promising approaches are
those based on the concept of quasinormal EM modes and a very recent
one that relies on the construction of a model system involving a
small number of lossy and interacting EM modes whose parameters are
fitted to exactly reproduce the spectral densities associated with
the photonic structure under study.Regarding the matter component,
organic molecules also have a complex
internal structure, which prevents them from being theoretically modeled
as just two-level systems in many situations. To include molecular
complexity in the theoretical description, it is then mandatory to
add some ingredients to the standard two-level model to describe the
vibrational modes of the molecules. Depending on the strength of the
vibronic coupling, a pure dephasing term, the Bloch–Redfield
approximation, or the explicit inclusion of the vibrational modes
needs to be utilized. Within this last approach, the most used framework
is the so-called Holstein–Tavis–Cummings model, which
only takes into account one vibrational mode, modeled as a harmonic
oscillator, which has proven to be very successful in providing physical
insight. Going beyond this model can be achieved either by including
more of the (typically hundreds of) vibrational modes of a molecule
or by substituting the harmonic oscillators by more realistic potential
energy surfaces. The first approach captures vibration-induced dephasing
and decoherence, while the second naturally accounts for the vibrational
nonlinearities and has also allowed for a fundamental description
of (photo)chemical reactions induced by strong light–matter
coupling. Nevertheless, in order to have a more accurate description
of the internal structure of organic molecules, numerical formalisms
that rely on quantum chemistry codes or ab initio approaches need
to be utilized.At this stage, for the case of collective strong
coupling in which
a large (macroscopic) number of molecules is involved, the current
status of the theoretical research on molecular polaritonics does
not allow for both a realistic treatment of the internal structure
of the organic molecules and a detailed account of the complex EM
media. This is indeed very frustrating, as the majority of the experiments
carried out in this field belong to the category of collective strong
coupling. Therefore, a quantitative agreement between ab initio theory
and experiment is not within reach nowadays. As a concrete example,
current ab initio theoretical models do not correctly predict the
experimentally observed decay rates from the exciton reservoir to
the lower polariton. This is why during the past decade most theoretical
research has focused either on giving fundamental support to some
of the experimental findings or to propose new effects that result
from theoretical approaches based on simplified models. On a more
positive note, for the case in which only a single or few molecules
participate in the strong-coupling phenomenon, after 10 years of intense
research, we now have the adequate theoretical and numerical tools
to accurately describe both the internal vibrational modes of the
organic molecules and the complexity of the subwavelength EM fields
associated with nanophotonic (mainly plasmonic) structures. We expect
that these theoretical developments will help to open new and exciting
avenues for research in molecular polaritonics.
Authors: Gülis Zengin; Martin Wersäll; Sara Nilsson; Tomasz J Antosiewicz; Mikael Käll; Timur Shegai Journal: Phys Rev Lett Date: 2015-04-15 Impact factor: 9.161
Authors: Javier Del Pino; Florian A Y N Schröder; Alex W Chin; Johannes Feist; Francisco J Garcia-Vidal Journal: Phys Rev Lett Date: 2018-11-30 Impact factor: 9.161
Authors: Ivan Medina; Francisco J García-Vidal; Antonio I Fernández-Domínguez; Johannes Feist Journal: Phys Rev Lett Date: 2021-03-05 Impact factor: 9.161