Optical Bloch modeling of few-cycle laser-induced electron dynamics in dielectrics
Evgeniya Smetanina, Pedro Gonzalez de Alaiza Martinez, Illia Thiele,, Benoit Chimier, Antoine Bourgeade, Guillaume Duchateau

TL;DR
This paper introduces an Optical Bloch Equation-based model to simulate electron dynamics in dielectrics under few-cycle laser pulses, capturing ionization, relaxation, and nonlinear polarization effects for various materials.
Contribution
It presents a comprehensive, adaptable model that accurately describes ultrafast electron dynamics and harmonic generation in dielectrics driven by few-cycle lasers.
Findings
Successfully models electron dynamics in dielectrics under ultrashort laser pulses
Captures harmonic emission with correct symmetry selection rules
Applicable to both centrosymmetric and non-centrosymmetric materials
Abstract
We develop a new model of laser-matter interaction based on Optical Bloch Equations, which includes photo-ionization, impact ionization, and various relaxation processes typical of dielectric materials. This approach is able to describe the temporal evolution of the electron dynamics in the conduction band driven by few-cycle laser pulses of any wavelength. Moreover, the nonlinear polarization response of both centrosymmetric and non-centrosymmetric materials can be described while ensuring the proper selection rules for the harmonics emission.
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Optical Bloch modeling of few-cycle laser-induced electron dynamics in dielectrics
E. Smetanina1,2
P. González de Alaiza Martínez1
I. Thiele3
B. Chimier1
A. Bourgeade1
G. Duchateau1
1 University of Bordeaux-CNRS-CEA, Centre Lasers Intenses et Applications, UMR5107, 33405 Talence, France
2 Department of Physics, University of Gothenburg, SE-412 96 Göteborg, Sweden
3 Department of Physics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden
(March 19, 2024)
Abstract
We develop a new model of laser-matter interaction based on Optical Bloch Equations, which includes photo-ionization, impact ionization, and various relaxation processes typical of dielectric materials. This approach is able to describe the temporal evolution of the electron dynamics in the conduction band driven by few-cycle laser pulses of any wavelength. Moreover, the nonlinear polarization response of both centrosymmetric and non-centrosymmetric materials can be described while ensuring the proper selection rules for the harmonics emission.
PACS numbers
52.50.Jm, 52.25.Tx, 79.20.Ds,42.65.Ky
pacs:
Valid PACS appear here
I Introduction
Modern laser technologies provide high-intensity few-cycle laser pulses which open new doors for studies of laser-matter interaction processes. In case of semiconductors or dielectric material targets, such laser pulses can be used to drive the electronic populations in excited states, then allowing various applications. For instance, an initially insulating dielectric material can be reversibly driven to a conducting state within a femtosecond temporal resolution Schultze et al. (2013). The interaction of such pulses with dielectric solids can also lead to high order harmonic generation and THz radiation You et al. (2017); Hohenleutner et al. (2015); Schubert et al. (2014), providing applicative capabilities of a strong interest Kampfrath et al. (2013). The benefit of ultrashort femtosecond pulses is also important in fields more close to industrial applications as material ablation, surface texturing and others Sanner et al. (2009); Chimier et al. (2011); Rudenko et al. (2017); Meyer et al. (2017); Lamperti et al. (2018); Wædegaard et al. (2014); Balling and Schou (2013). In that case, the relaxation of the energy of the excited electrons towards the lattice through collisions leads to an energy deposition into the material Bulgakova et al. (2005, 2015); Mirza et al. (2016). The possibility to improve the efficiency of previous applications has also been demonstrated by designing the pulse characteristics including a broad spectrum or a spatio-temporal chirp Gulley and Lanier (2014a); Patel et al. (2017); Arabanian and Massudi (2014); Vitek et al. (2010); Zhokhov and Zheltikov (2018); Pasquier et al. (2016, 2017). In order to interpret the experimental results, understand the physical mechanisms at play, and guide the experimental developments for further studies, it clearly appears that time-dependent models for the laser induced electron dynamics by few-cycle pulses in dielectric solids are required. In view of the above-mentioned studies, such a model should account for the photo-ionization and the electron dynamics in the conduction band where electrons may further absorb photons and undergo collisions. Ultimately, these models should be suitable for their implementation into a Maxwell solver Bidégaray-Fesquet (2006); Bidégaray et al. (2001) or Unidirectional pulse propagation equation solver Kolesik et al. (2002); Kolesik and Molonay (2004) to describe the coupled laser propagation and electron dynamics that generally take place for such physical systems Bourgeade and Saut (2006); Saut (2005); Besse et al. (2004); Duchateau and Bourgeade (2014); Bourgeade and Duchateau (2012); Gulley and Lanier (2014b); Tolliver and Kolesik (2018).
Various classes of such models have been developed. Going from the crudest to the first principle approaches, the main models are as follows. A single rate equation for the evolution of the electron density in the conduction band has been shown to provide global observed trends as the electron avalanche due to impact ionization. This approach has been improved by multiple rate equations (MRE) accounting partly for the band structure Rethfeld (2004); Christensen and Balling (2009); Gallais et al. (2015). However optical cycle-averaged transition rates still stand. This assumption has been overcome by solving optical Bloch equations (OBEs) where the time-dependent laser electric field is the input parameter Gulley and Lanier (2015). Nevertheless, the impact ionization process was not tackled, neither an in-depth treatment of collisions. On the other hand, kinetic-type descriptions have been developed, accounting for all main collisional processes Kaiser et al. (2000); Barilleau et al. (2016); Gruzdev et al. (2017). The laser pulse intensity-induced evolution of the band curvature is considered to be responsible for the material breakdown in Gruzdev and Chen (2008); Gulley and Lanier (2014b); Gruzdev and Sergaeva (2018). But they generally do not account for the band structure beyond a single parabolic band and are currently computationally too expensive for their coupling to a Maxwell solver. First principle approaches as time-dependent density functional theory fully describe the band structure, as well as the time-dependent interaction Qasim et al. (2018); Sato et al. (2015). However collisions are not well described Lee et al. (2014); Kumada et al. (2014) whereas their influence is crucial since they lead to decoherence effects and to the laser energy deposition into the material. To our knowledge, there is no model including the following required features: time-dependent laser electric field as input of the model, description of the band structure, description of collisions, photo-ionization, electron heating in the conduction band, description of impact ionization, and electron recombination.
In the present work, such a model is proposed based on the optical Bloch equations which consists in solving the Liouville equation for the density matrix (Sec. II). A band structure is introduced through a set of energy levels. By coupling appropriately those levels, photo-ionization, impact ionization, transitions in the conduction band, and electron recombination are taken into consideration. The solution of these equations for the density matrix allows to determine both, the electron population for each energy level and the corresponding ionization rates as well as the polarization including its linear and nonlinear part, for both centrosymmetric and non-centrosymmetric dielectric materials (Sec. III). The electron population determines the energy density of the whole electron gas and is useful for the calculation of the absorbed energy density in the material. The polarization gives access to the description of secondary radiation, including harmonics and terahertz (THz) radiation.
This work aims at providing a theoretical baseline to address a consistent time-dependent modeling of the electron dynamics induced by ultra-short few-cycle laser pulses, where all main collisional processes taking place in dielectric materials are considered. The reliability of this approach is provided by the above-mentioned cases of interest where standard trends are retrieved. Since the polarization can be easily extracted from the density matrix, the present Bloch approach is very suitable for coupling to Maxwell solvers Bidégaray-Fesquet (2006); Bidégaray et al. (2001), thus providing a route to model accurately the complex electron-laser propagation dynamics which is required to account for experimental conditions.
II Model
The OBEs are constructed from the Liouville-von-Neumann equation which describes the time evolution of a quantum system using the density matrix formalism. To include impact ionization and various relaxation processes taking place in dielectric materials, the equation for density matrix evolution reads Bidégaray et al. (2001); Bourgeade and Duchateau (2012):
[TABLE]
where is the so-called Liouville-von-Neumann super-operator, and the super-operators and introduce phenomenological relaxation (e.g., recombination and coherence loss) and impact ionization terms, respectively. The numerical scheme developed to solve the present optical Bloch equations is provided in the Appendix A .
II.1 Liouville-von-Neumann super-operator
The Liouville-von-Neumann super-operator is given by Bidégaray et al. (2001):
[TABLE]
where is the electron Hamiltonian and reads:
[TABLE]
The unperturbed Hamiltonian is modeled as a diagonal matrix including considered energy levels. We consider a finite number of allowed energy levels in the CB. The corresponding indexes for the CB level indication are . Depending on the underlying material properties (see Sec. III.1 for more details), the valence band (VB) contains one single level with the index or two energy levels with almost the same energy which have the indexes and . For example, in case of two VB states the Hamiltonian reads:
[TABLE]
The levels in the CB have been chosen to have the following energies Rethfeld (2004, 2006):
[TABLE]
where is the photon energy of the incident light and is the gap energy of the considered material. The highest considered CB level must have an energy that is sufficiently large to fulfill energy and momentum conservation during the impact ionization process Rethfeld et al. (2017):
[TABLE]
and the number of CB levels that will be considered is:
[TABLE]
where is the floor function (maximum integer that is less or equal than ). This estimation assumes that the electron masses in VB and CB are equal to the free-electron mass and neglect the mean oscillation energy of the applied electric field Rethfeld (2004).
The interaction Hamiltonian in Eq. (1) is calculated with the dipole approximation in the length gauge and in one-dimensional geometry (i.e., ) as follows Cohen-Tannoudji et al. (1998, 2000):
[TABLE]
where is the elementary charge, is the instantaneous value of the laser electric field and is the dipole transition matrix, which is Hermitian.
II.2 Relaxation super-operator
In this paper we consider two relaxation processes, namely, recombination () and relaxation of coherence ():
[TABLE]
The electron recombination process is introduced as a decay of CB electrons to VB on the timescale of . The equations describing the recombination process in case of one VB level are as follows:
[TABLE]
where is the characteristic recombination time. We consider a recombination time of fs for fused silica glass Audebert et al. (1994); Tzortzakis et al. (2001); Rolle et al. (2014). If there are two VB levels, electrons recombine indifferently to any of these two VB levels, provided that the energy separation between those VB levels is negligible.
The coherence loss introduces the dissipation of electron energy to the lattice due to electron-phonon collisions and is modeled by an exponential decay of the off-diagonal density matrix elements:
[TABLE]
where is the coherence-loss characteristic timescale. We take fs for coherence relaxation driven by electron-phonon collisions Arnold et al. (1992).
II.3 Impact-ionization super-operator
The impact ionization is introduced by the impact-ionization super-operator and describes how an electron in the highest CB level, by loosing energy, promotes the ionization of an electron of a VB level and both electrons go into the lowest CB level. The corresponding equations describing impact ionization in case of one VB level read as follows:
[TABLE]
where is the characteristic impact-ionization timescale. The characteristic timescale of impact ionization for fused silica glass is taken fs Kruchinin et al. (2018). In case of a two VB-levels, the impact ionization process is modeled separately for the levels 0, 1 and N and for the levels -1, 1 and N with the same time scale. Implicitly, we require that the energy of the highest CB state is sufficiently large in order to fulfill energy and momentum conservation during the impact ionization process Rethfeld et al. (2017): .
III Results and Discussion
Our OBEs model will be used to study the tme evolution of the electron dynamics as well as the all-order polarization response of dielectric materials to few-cycle laser pulses. Two different material types, with similar band gap values, will be considered: centrosymmetric (like fused silica) and non-centrosymmetric (like crystalline dielectrics Tancogne-Dejean et al. (2017)) materials. They will have similar ionization rates induced by femtosecond high-intensity laser pulses, but completely different polarization responses. For the former materials the nonlinear polarization response contains only odd harmonics, while for the latter all harmonics may be present.
III.1 Material modeling
Materials with band gap eV and a density of neutral atoms cm*-3*, close to the fused silica values, are considered Wu et al. (2005). For the centrosymmetric material, we consider two VB levels, namely and , separated by an energy . The wave-functions associated to energy levels will have a well-defined parity alternating from level to level and hence . Both the elements and are free parameters. The latter defines the transitions between VB and CB levels, allowed in the following way:
[TABLE]
where if is odd and if is even. Moreover, the transitions between CB levels, representing the laser-induced electron heating process, are allowed between states with different parities and modeled by transition-dipole matrix elements inversely proportional to the energy difference between the levels:
[TABLE]
where , , , and is a free parameter defining transition matrix elements connecting the CB levels.
For the non-centrosymmetric-material model, we consider only one VB level with a wave-function that does not have a well-defined parity and the corresponding matrix element is non-zero: we take . The transitions from VB level are allowed to any CB level in this case and corresponding matrix elements are given by Eq. (13) for and every value of . In the CB, similarly to the previous case, the wave-functions have well-defined parity that is alternating from level to level. The matrix elements for transitions between CB levels are given by Eq. (14) for , , . This configuration provides both odd- and even-harmonic polarization response and allows us to describe non-centrosymmetric wide-gap dielectrics ionization dynamics.
The VB dipole-transition-matrix element is set to 2 Å. The matrix element for transitions between VB and CB is set to 0.5 Å. The CB dipole-transition-matrix element is set to 0.45 eVÅ. For the centrosymmetric material model the VB level separation is eV. Small variations of these parameters do not lead to any strong fluctuation in the obtained results. These dipole-transition matrix elements have been chosen to closely reach the ionization degree provided by the Keldysh theory at a photon energy equal to 1.5 eV Keldysh (1964).
III.2 Laser modeling
The electric laser field is defined in the time interval by
[TABLE]
where , and are the central angular frequency, the duration and the amplitude of the laser pulse, respectively. In the following, the duration is expressed in terms of the number of cycles:
[TABLE]
and we focus on examples with 5 and 10 cycles. The laser intensity is defined as , where is the speed of light, is the vacuum permittivity and is the refractive index that is set to .
We consider laser pulses with equal to 5 cycles, photon energy varying from 0.5 eV to 3 eV (i.e., from the mid-infrared to the ultraviolet spectral regions), and peak laser-pulse intensities going from W/cm2 up to W/cm2.
III.3 Ionization rate
The CB electron density is estimated as the probability of finding an electron in the CB multiplied by the density of neutrals :
[TABLE]
The unperturbed state corresponds to the electron being in the VB. If the VB is associated with one energy level , the initial condition is . If the VB is associated with two closely laying energy levels and , the levels are suggested to be equally populated and the corresponding initial conditions are .
The ionization rate in the OBEs model is given by the variation of the electron population in the CB levels over time:
[TABLE]
and the ionization degree is defined as the electron density at the final instant normalized by the density of neutral atoms :
[TABLE]
In order to study numerically the ionization given by our OBEs model, we consider here a simplified version of the systems associated to centrosymmetric and non-centrosymmetric materials having only one CB level (i.e., ). The relaxation and impact-ionization super-operators are excluded.
Figure 1 presents the ionization degree as a function of the laser intensity for centrosymmetric and non-centrosymmetric materials and for several photon energies. The multi-photon behavior (i.e., where is the number of absorbed photons) is found until the system saturates and further oscillations of the ionization degree appear for W/cm2.
The multi-photon order for eV and for eV, which corresponds to . In contrast, for lower photons energies, the broad spectrum due to the short laser duration makes the multi-photon order be intensity-dependent because the contribution of higher spectral frequencies is less negligible.
Note that in this work we have neglected in Eq. (1) the term on , where is the wave-vector along the BZ Gulley and Lanier (2015); Sato et al. (2018); Kruchinin et al. (2018). Due to this simplification, the model reproduce reproduces only the vertical multi-photon electron transition (resonant case).
III.4 Polarization response of a single-level CB system
We compute the all-order polarization response including both linear and nonlinear components as the expectation value of the electric dipole moment in the electron subsystem multiplied by the density of neutrals :
[TABLE]
where we impose the initial condition assuring the causality of the model Peterson and Knight (1973); Hu (1989).
In Fig. 2, we utilize the normalized polarization power spectrum defined as:
[TABLE]
where accounts for Fourier transformation. The polarization response obtained for the two-level system having wave-functions without a well-defined parity is fundamentally different from the polarization response of a three-level system having wave-functions with a well-defined parity, as illustrated by Fig. 2(a). In the three-level system modeling a centrosymmetric medium the spectrum of the polarization response has only odd harmonics 1, 3, 5… Instead, in the two-level system for non-centrosymmetric media, the spectrum has both even and odd harmonics.
Figure 2(b) reveals that the harmonics cut-off has a linear dependence on the incident electric field amplitude , which agrees with other works where the OBEs were used for HHG simulations Wu et al. (2015a) and experiments Osika et al. (2017). Particularly, as in Osika et al. (2017), the harmonics spectrum has well-pronounced maximum at the band gap energy and a linear cut-off dependence for harmonics with photon energies above . In general, the structure of the level system affects the HHG cut-off, i.e., in case of highly multilevel systems several cut-offs in the HH spectrum can be observed Wu et al. (2015b); McDonald et al. (2015); Wu et al. (2016).
Figure 2(c) shows the harmonics power-spectra generated at various incident photon energies at fix laser pulse intensity W/cm2. Independently on the incident photon energy, the maximum harmonic energy reaches about 15 eV that agrees with other works Wang et al. (2017); Tancogne-Dejean et al. (2017). However, unlike in these references, we consider a wide-band-gap dielectric rather than a semiconductor, and thus we obtain interference patterns between harmonics (straight lines going from the origin of coordinates , only in two-level system, , and so on) and polarization generated with photon energy equal to the energy gap and corresponding harmonics , , and so on.
III.5 Electron dynamics
In this section we use multi-level systems for modelling of the full laser-induced electron dynamics in the CB of a dielectric material by means of OBEs. The material modeling is done as described in Sec. III.1, taking conduction band levels, where is calculated by Eq. (7) to allow the impact ionization process. Both, centrosymmetric and non-centrosymmetric material cases are considered. Figure 3(a) sketches the example of eV giving energy levels in the CB for the latter one.
The time-dependent energy density of the electron subsystem is calculated as follows:
[TABLE]
where is the energy associated to the lowest CB level. It is important to stress that the energy density in the electronic subsystem is calculated for higher CB levels () excluding the lowest CB level (), i.e., here we calculate the laser-induced electron heating.
Figure 3(b-e) presents the time evolution of the ionization degree , given by Eq. (17), and the energy density evolution, given by Eq. (22), for equal to 0.6 and 3.0 eV, W/cm2, and with/without impact-ionization and coherence relaxation processes. For both photon energies, the time evolution of and presents oscillations because electrons go indistinctly to a higher or a lower level. However, this process is not completely reversible. Thus, at the end of the interaction, for eV (Fig. 3 c,e), the energy density reaches a value close to the Laser-Induced Damage-Threshold (LIDT) kJ/cm3 Gallais et al. (2015) and the electron density in the CB is close to one half of initial electron density in VB. For this photon energy, effect of impact ionization and coherence relaxation is negligible.
For eV (Fig. 3 b,d), since mid-infrared photons heat better and the absolute laser duration is longer for 5 cycles, including impact ionization and coherence relaxation leads to an increase of the ionization degree but a decrease of the energy density compare to the model without these processes. The final value of is approximately one half of the value from eV. However, the electron heating doubles the ultraviolet case. Ultraviolet photons, even if they ionize more due to their lower multi-photon order, are less efficient to heat electrons in the CB.
Figure 4 shows the energy stored in the CB, , driven by 5-cycle laser pulse in a non-centrosymmetric material with and without impact-ionization and coherence-relaxation processes (in centrosymmetric materials similar results are obtained and thus are not shown). For low intensities W/cm2 the relaxation and impact ionization terms lead to a change of the (not shown here) and dependence on the incident pulse intensity . The lower the photon energy , the stronger the departure from the expected multi-photon rate at low intensities and the stronger the influence of the coherence-relaxation and impact ionization terms.
For high intensities W/cm2, instead, the energy density gained by CB electrons is similar in both cases because the dielectric material is fully ionized. Between these two intensity limits, impact-ionization and coherence-relaxation processes play a significant role in the Mid-Infrared region ( eV) because the order of the multi-photon ionization process is higher.
IV Conclusion
In order to describe the time-dependent electron dynamics in dielectric materials induced by ultra-short few-cycle laser pulses, a modeling based on optical Bloch equations has been developed. Through the introduction of an appropriate set of energy levels mimicking the band structure of dielectric materials, the present approach includes a description of photo-ionization, electron heating in the conduction band, impact ionization, collisions in the conduction band, and electron recombination. The reliability of this approach has been assessed by studying various physical quantities. First, the evolution of the density of the conduction electrons with respect to the laser intensity in case of pure photo-ionization has been studied. By changing the wavelength, we have shown that this model is able to account for the multiphoton absorption in the perturbative case, i.e. not too high intensities. For intensities in excess of , the tunneling regime is entered leading to a saturation of the ionization rate with respect to the intensity. Second, the evaluation of the polarization has been provided. Its Fourier transformation confirms that harmonic generation is well described up to high orders. In particular, it is demonstrated that properties of symmetry of the material lattice can be included: only odd harmonics are generated by imposing a centro-symmetric structure. Finally, the full electron dynamics has been studied. The temporal evolution of the density of conduction electrons clearly exhibits the ability of this modeling to describe the time-dependent electron dynamics driven the oscillating electric laser field. The electron energy density is shown to follow such a behavior. The influence of the impact ionization is also observed. As expected, the lower the photon energy, the larger its contribution.
Overall, the present modeling describes all expected behaviors regarding the laser-induced electron dynamics in case where all main collisional processes are included. This approach thus provides a theoretical baseline well adapted to describe accurately the electron dynamics driven by few-cycle laser pulse. Such an approach is well adapted to be introduced in a Maxwell solver to describe the coupled electron-pulse propagation dynamics. Such a coupling will allow one to provide accurate predictions of the energy deposition in dielectric materials. It may thus provide a step forward for numerically designing experiments and applications.
V Acknowledgements
Numerical simulations were performed using computing resources at Grand Équipement National pour le Calcul Intensif (GENCI, Grants No. A0030506129 and No. A0040507594) and Chalmers Centre for Computational Science and Engineering (C3SE) provided by the Swedish National Infrastructure for Computing (SNIC, Grant SNIC 2018/4-38).
Appendix A Numerical resolution of OBEs
In the context of Finite-Difference Time-Domain (FDTD) Maxwell-Bloch simulations, the equations of our OBEs model are coupled to a Maxwell solver, e.g., the Yee scheme Yee (1966). In this section, we present the numerical scheme used in this paper to solve OBEs equations and which can be easily integrated into such FDTD algorithms:
[TABLE]
Let us consider that the electric field is known, in general from the Maxwell solver and particularly in this paper from Eq. (15), at the discrete instants , where is the time step and . This time instants will constitute the primal temporal grid. At these primal instants the Hamiltonian is fully known according to Eqs. (3) and (8):
[TABLE]
FDTD codes usually update alternatively the electric field and material response variables (i.e., the electron density and the current density ). In consequence, we need to construct a numerical scheme allowing us to compute at the discrete instants , which will constitute the dual temporal grid. All the material response variables can be computed from the density matrix. We shall use the notation for the numerical computation of the density matrix at dual instant . For centro-symmetric material (for details see Section III.1), we impose as initial condition that all the two VB levels are equally populated and that all the CB levels are completely depleted:
[TABLE]
During each update step, in order to calculate from and , each of the super-operators in Eq. (23) is treated separately following the Strang splitting approach Strang (1968). We seek a second-order accurate scheme at every iteration and, since the the numerical cost of applying the relaxation super-operators is considerably smaller than applying the Liouville-von-Neumman super-operator, we update the density matrix in seven sub-steps as follows:
[TABLE]
where is the discrete recombination super-operator acting over , is the discrete impact-ionization super-operator acting over , is the discrete coherence-loss super-operator acting over , and is the discrete Liouville-von-Neumann super-operator acting over . In order to preserve the properties of the density matrix over the simulation time span, the discretization of the ensemble of super-operators during each update step must constitute a Completely Positive Trace Preserving (CPTP) map Lindblad (1976); Gorini et al. (1976). In order to have a CPTP splitting in Eq. (26) and thus obtain numerical solutions compatible with physics, we must assure that all the discrete super-operators (namely, , , and ) are CPTP Riesch and Jirauschek (2018).
In case of two VB levels, the recombination super-operator introduces recombination process from each CB level to each VB level (k = 0, k = -1) with the same characteristic time scale similarly to the case of one VB (Eq. (10)) and is discretized as follows:
[TABLE]
where
[TABLE]
where is the decay in the electron population in the -th CB level over the time due to recombination transition to the -th VB level. It is straightforward to verify that this discretization of the recombination super-operator conserves the trace and the positivity of the diagonal elements of .
Following Eq. (12), the impact-ionization super-operator acting over a time on a system with two VB levels is discretized as follows:
[TABLE]
where, here, represents the decay in the electron population of the -th VB level and is given by:
[TABLE]
The introduction of the min-function in Eq. (30) when computing ensures the preservation of the non-negativeness of all VB levels: for .
The discretization of the coherence-loss super-operator, given by Eq. (11), acting over a time , is the following:
[TABLE]
which preserves all the properties of density matrix .
There are several possibilities of obtaining a CPTP discrete Liouville-von-Neumann super-operator, such as the Crank-Nicolson approach Ziolkowski et al. (1995); Slavcheva et al. (2002), Runge-Kutta methods Sukharev and Nitzan (2011); Deinega and Seideman (2014); Cartar et al. (2017) and the matrix exponential approach Bourgeade and Duchateau (2012); Riesch and Jirauschek (2018). The latter technique is chosen in this paper because it adapts well to the alternatively-updating nature of FDTD codes. Assuming that during the time interval the Hamiltonian in the Liouville-von-Neumann super-operator is time-independent and equal to given by Eq. (24), then the exact solution to reads:
[TABLE]
where the is the following matrix exponential:
[TABLE]
Since is real and symmetric in our paper, reduces to in Eq. (32). Therefore, discretization of the Liouville-von-Neumann super-operator in Eq. (26) reads as follows:
[TABLE]
where
[TABLE]
which is CPTP because it is an exact solution of the Liouville-von-Neumann equation. In practice, since the numerical calculation of matrix exponentials requires high computational ressources Moler and Loan (2003), we can use a second-order accurate-in-time approximation of Eq. (35) provided that the norm for a time step being sufficiently small. The approximation that we use in this paper, which is CPTP, reads as follows Bidégaray-Fesquet (2006); Bourgeade and Duchateau (2012):
[TABLE]
where:
[TABLE]
and accounts for the identity matrix. Thanks to the approximation (36) only one matrix inversion and two matrix conjugations are computed at each time iteration. We employed the library LAPACK Anderson et al. (1999) to do so.
Finally, we compute the material response variables from the density matrix at the dual instants. The electron density can be easily calculated thanks to Eq. (17):
[TABLE]
And the polarization response is calculated accordingly to Eq. (20):
[TABLE]
The current density is then computed as a time derivative of the polarization response :
[TABLE]
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