Quantum trajectories for a system interacting with environment in a single photon state: counting and diffusive processes
Anita Dabrowska, Gniewomir Sarbicki, Dariusz Chruscinski

TL;DR
This paper derives quantum trajectories for a system interacting with a single-photon environment, capturing non-Markovian effects through continuous measurement models and providing formulas for photon counting probabilities.
Contribution
It introduces a novel approach to model quantum trajectories with a single-photon environment using a discrete qubit series as an analogue of continuous modes, highlighting non-Markovian dynamics.
Findings
Derived quantum trajectories for single-photon environment interactions.
Established formulas for photon counting probabilities.
Demonstrated non-Markovian effects due to initial correlations.
Abstract
We derived quantum trajectories for a system interacting with the environment prepared in a continuous mode single photon state as the limit of discrete filtering model with an environment defined as series of independent qubits prepared initially in the entangled state being an analogue of a continuous mode state. The environment qubits interact with the quantum system and they are subsequently measured. The initial correlation between the bath qubits is the source of the non-Markovianity. The conditional evolutions of the quantum system for limit of the continuous in time observations together with the formulas for the photon counting probabilities are given.
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Quantum trajectories for a system interacting with environment in a single photon state: counting and diffusive processes
Anita Dąbrowska1, Gniewomir Sarbicki2, and Dariusz Chruściński2
1Nicolaus Copernicus University, Toruń, Collegium Medicum Bydgoszcz, ul. Jagiellońska 15, 85-067 Bydgoszcz, Poland
2Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Grudzia̧dzka 5/7, 87–100 Toruń, Poland
Abstract
We derived quantum trajectories for a system interacting with the environment prepared in a continuous mode single photon state as the limit of discrete filtering model with an environment defined as series of independent qubits prepared initially in the entangled state being an analogue of a continuous mode state. The environment qubits interact with the quantum system and they are subsequently measured. The initial correlation between the bath qubits is the source of the non-Markovianity. The conditional evolutions of the quantum system for limit of the continuous in time observations together with the formulas for the photon counting probabilities are given.
I Introduction
Belavkin filtering equations BB91 ; BGM04 ; B05 (called also stochastic master equations Car93 ; BP02 ; GZ10 ; WM10 ) describe the conditional evolution of an open quantum system interacting with the environment modeled by the Bose field Bar06 . The quantum filtering theory, providing the best state estimation based on the result of the continuous in time measurement, is formulated within the framework of quantum stochastic Itô calculus (QSC) HP84 ; Par92 . The stochastic evolution of the system depends on the results of the measurement performed continuously in time on the output field - the field after interaction with the system. The indirect measurement allows us to avoid Zeno effect. The exact form of the filtering equation depends on the initial state of the environment and the measurement scheme. The rigorous derivation of the filtering equation for the Bose field in a Gaussian state (vacuum, coherent, squeezed) one can find for instance in BB91 ; BGM04 ; DG16 . Solutions to the filtering equations are called quantum trajectories.
Recently there is interest in determination of the stochastic master equation for non-classical states of the Bose field. One of them is a single photon state L00 ; RMS07 ; M08 . About the methods of its generation and application in quantum of computing and communication one can read in LHABMS01 ; RNBW05 ; SAL10a ; SAL10b ; BRHS10 ; WMSS11 ; BCBC12 ; BAM12 . The filtering equation for quantum system interacting with the environment prepared in the single photon state was derived in GJN11 ; GJNC12a ; GJN12b ; GJN13 . The authors of the mentioned papers determined the filters with the aid of embedding of the quantum system into a larger Markovian GJN11 ; GJNC12a or non-Markovian GJN12b ; GJN13 systems. In GJN11 ; GJNC12a the authors used the concept of quantum cascaded system GZ10 and introduced an ancilla being a source of the Bose field in desired non-classical state. The output field from ancilla is the input field for the quantum system. The authors first derived the filters for the extended system consisting of the system of interest and ancilla and then, by taking the partial trace over the ancilla degrees of freedom, they determined the conditional evolution for the quantum system. The cascaded systems approach to determine the conditional evolution of a quantum system interacting with the single photon, which one can find for instance in BAM12 , was first proposed in the paper GEPZ98 . Derivation of the quantum trajectories for the light prepared in a continuous-mode Fock state in the framework of QSC was given in SZX16 ; BC17 .
In the paper we present new derivation of the filters for quantum system interacting with an environment in the single photon state as a limit of discrete filtering. To determine the quantum trajectories we use, instead of the standard methods based on the concept of ancilla producing the field in non-classical state, the quantum repeated interaction model AP06 ; P08 ; PP09 ; P10 . We present the model with a quantum system interacting with an infinite chain of identical and independent quantum systems representing an environment. This approach gives an intuitive and rigorous interpretation for the conditional evolution of the open quantum and quantum trajectories.
We consider the model with an environment defined by a series of independent qubits. The environment qubits interact in turn one by one with the quantum system and they are subsequently measured. Each qubit of the environment interacts with the system only once and the environment qubits do not interact between themselves. We assume that the environment is prepared initially in an entangled state being a discrete analogue of a continuous mode single-photon state. We obtain the stochastic evolutions of the quantum system for the two cases of the monitoring of the environment qubits: photodetection and homodyne detection. The conditional evolutions of the system are derived by making use of the von Neumnann projection postulate. We showed that the quantum system becomes entangled with this part of the environment which has not interacted with the quantum system yet. The prior and posterior evolution of the quantum system are non-Markovian in this case. The memory effects result from the initial correlation between the bath qubits. Together with the stochastic evolution we present also the formulas for the photon counting probabilities giving the whole statistics of the output photons.
The model is based on the discrete version of quantum Itô stochastic calculus. Its rigorous definition together with discussion of its continuous limit were given in number of publications M93 ; AB93 ; G04 ; GS04 ; P05 ; S05 ; AP06 ; K06 ; BH08 ; BHJ09 . Derivations of discrete version of quantum filtering equations with its continuous limits for the case when the environment is initially in factorized state with the qubits prepared in some mixed state one can find in B02 and for the qubits prepared in the ground state (the environment prepared in the vacuum state) in GS04 ; BHJ09 .
II Repeated quantum interactions model
Let us consider a quantum system of the Hilbert space interacting with the environment consisting of a sequence of two-level systems which interact in turn one by one with the system each during the time interval of the length . Thus Hilbert space of environment is
[TABLE]
where is the Hilbert space of the -th qubit interacting with in the time interval . The Hilbert space can be split as a tensor product
[TABLE]
If is the current moment then can be interpreted as the part of the space of the environment which refer to two-level systems which have already interacted with and as the space referring to two-level systems which have not interacted with yet. We will call them respectively the past and future environment spaces.
The ground and excited states of the -th two-level system we will indicate respectively by and . We assume that the environment is prepared in the state
[TABLE]
where is the vacuum vector in , the operators , act non-trivially only in the space , and . Note that has the additive decomposition property
[TABLE]
and it can be written in the form
[TABLE]
where
[TABLE]
Thus is the probability that -th qubit is prepared in the upper state and all the others qubits are in their ground states. The state is a discrete analogue of a single-photon state in the model of continuous modes discussed in RMS07 ; M08 .
Now, let us describe the evolution of the composed system. We consider the well known repeated interactions model where the unitary operator defining the evolution of the total system up to the time is given by
[TABLE]
where acts non-trivially only in the space and
[TABLE]
where is a bipartite Hamiltonian acting on . It is therefore clear that there is no interaction between subsystems and for . Since one has the following representation
[TABLE]
with being the system operators. We assume that the initial state of the total system is the pure product state of the form
[TABLE]
and we stress that the environmental state is highly entangled (depending on the profile ).
III Conditional evolution for the counting process
In what follows we consider the following collision model: the system interacts with an infinite chain of environmental qubits. Now, after each interaction one performs a measurement on the last qubit which has just interacted with . Our goal is to describe an evolution of conditioned on the results of the measurements performed subsequently on the environment qubits at the time instances . Clearly, since the results of measurements are random it gives rise to a random evolution of the state of .
Let us first consider the measurement of the observable
[TABLE]
We shall prove that the conditional state of and the part of the environment which has not interacted with up to is at the moment given by
[TABLE]
where is the unnormalized conditional vector of the form
[TABLE]
where is a binary -vector with which represents results of all measurements of (11) up to the time . We use an obvious notation
[TABLE]
The vectors , from the Hilbert space satisfy the recurrence equations
[TABLE]
with the initial condition , .
Note that the conditional vectors , depend on all results of the measurements up to the time . Their physical interpretation becomes clear when we write down explicitly their form for particular trajectories. Usually, one skips the condition . In this Section, however, to stress the character of the conditional states, we keep the conditional notation.
It is clear that belongs to the Hilbert space . The form of indicates that the system becomes entangled with this part of the environment which has not interacted with yet. It is the main difference between the considered situation and the standard cases when the environment is in the factorisable state GS04 ; BHJ09 . The physical interpretation of is very intuitive:
- •
the first term in (13) represents the following scenario: all qubits of the environment up to time were prepared in the ground state and the qubit prepared in the excited state appears only in the future,
- •
the second term represents the situation in which has already interacted with the qubit prepared in the excited state and in the future it will interact with the environment being in the vacuum.
These two scenarios occur as a quantum superposition. The probability of the first one is
[TABLE]
and the probability of the second one is
[TABLE]
Sooner or later, it depends in the profile of the environment state , the system meets the qubit prepared in the excited state, so finally only the second term gives non-zero contribution to (13), and becomes separable.
In order to prove of (13) it is convenient to rewrite in the following form
[TABLE]
Now the action of on gives
[TABLE]
The conditional vector from the Hilbert space is defined by
[TABLE]
where
[TABLE]
and stands for the two possible results of the measurement of the observable . Finally, using (III) one finds that has the following form
[TABLE]
with , satisfying Eqs. (15) and (16),which ends the proof of (13).
Note that knowing the initial state of , single photon state of the environment, and the results of measurements up to time one can uniquely determine the state .
Formula (III) shows that after each measurement there are in general two possible scenarios:
- •
the system meets in the future the qubit prepared in the excited state,
- •
or it meets in the future all qubits prepared in the ground state.
In the quantum filtering theory the environment is usually treated as a model of electromagnetic field. In this interpretation we see in (III) that when the result of the outcome is [math] then we deal with two possibilities—the system did not emit photon or photon from the environment was absorbed by . When the photon was detected we see that it was emitted by or we measured the photon of the external field directly. The form of (13) depends on the results of all past measurements, thus it is clear that if all photons achievable for the considered composed system were observed then only the second term gives non-zero contribution to (13) and there is no longer entanglement between and the future environment.
The general solution to the set of equations (15) and (16) can be written in the compact form
[TABLE]
Note that instead of using the notation with the full vector we may equivalently provide the location of ‘’ in the string , that is means that one observed photons at and no other photons in the period from [math] to . Let us provide the formulae for the simplest scenarios:
, that is, no detections upon . In this case one finds
[TABLE]
[TABLE] 2. 2.
one detection at :
[TABLE]
and
[TABLE] 3. 3.
two detections :
[TABLE]
and
[TABLE]
In the representation of the moments of counts one finds
[TABLE]
and quite involved formula for :
[TABLE]
where we defined
[TABLE]
and
[TABLE]
provided and . The arrows mean that we use the time ordered products.
In order to obtain the state of conditioned on all results of the measurements up to the time , we have to perform a partial trace of with respect to the environment degrees of freedom (the future space of the environment). Thus the a posteriori state of at the time is
[TABLE]
where
[TABLE]
The probability of a particular trajectory registered from time [math] to is therefore given by
[TABLE]
IV Discrete filtration equation for the counting process
IV.1 General case
From now on we simplify our notation to and skipping the condition . We derive the conditional recurrence equation describing the stochastic evolution of . Consider first the case when the result of measurement at is [math]. Straightforward calculations lead to
[TABLE]
where h.c. stands for the Hermitian conjugation. Moreover, one finds
[TABLE]
The conditional probability of the outcome when the a posteriori state of at was is given by the formula
[TABLE]
Similarly, if one obtains
[TABLE]
and
[TABLE]
The conditional probability of the outcome when the a posteriori state of at was is given by the formula
[TABLE]
and clearly .
IV.2 ‘Small’
To consider the case of ‘small’ one needs to specify the form of the Hamiltonian. Let us consider AP06 ; GS04
[TABLE]
which means that we work in the interaction picture eliminating the free evolution of the environment.
Now, a time step is small if
[TABLE]
and belongs to the spectrum of , that is, is much larger the characteristic frequency of the system. One easily finds
[TABLE]
Now, discrete filtration equation (IV.1) gives rise to
[TABLE]
together with
[TABLE]
and
[TABLE]
The conditional probability reads
[TABLE]
where
[TABLE]
Now, using
[TABLE]
one obtains the following equation for the normalized density matrix (we neglect higher order terms in )
[TABLE]
Similarly, for the conditional vectors defined by
[TABLE]
one finds the following formulae (provided ):
[TABLE]
and
[TABLE]
If discrete filtration equation (IV.1) gives rise to
[TABLE]
[TABLE]
and
[TABLE]
The conditional probability of the outcome at the moment when the a posteriori state of at is has the form
[TABLE]
where is given by (50).
Finally, for the normalized density matrix, we get
[TABLE]
[TABLE]
[TABLE]
It is clear that are random variables with values and hence one deals with the discrete stochastic process . A single realization of this process consists of zeros and ones and the conditional expectations for read
[TABLE]
Introducing one has an obvious relation
[TABLE]
Hence may be interpreted as a discrete counting process. Therefore to describe the stochastic evolution of depending on the (stochastic) results of the measurements we need the following set of three coupled equations:
[TABLE]
[TABLE]
[TABLE]
with the initial condition , , and . If then all terms containing the infinitesimal are negligible.
It should be clear that as an initial condition one may take an arbitrary mixed state . Then one replaces by and by with initial conditions and .
V Continuous limit for the counting process
In the continuous limit one obtains from (64)-(66) the stochastic differential equations
[TABLE]
[TABLE]
[TABLE]
where and the initial condition , , and . The stochastic process satisfies
[TABLE]
and
[TABLE]
One can easily check that for the non-selective measurement we obtain from (67)-(69) a priori evolution given by
[TABLE]
[TABLE]
[TABLE]
All realization of the counting process may be divided into disjoint sectors: contains realizations with exactly counts at some moments and no other photons from [math] to . Denote by the probability density of observing a particular trajectory corresponding to counts at and no other photons in (called also an exclusive probability density). It is given by
[TABLE]
Probability of no counts up to time
[TABLE]
which follows directly from (36). The probability of having exactly counts up to time reads
[TABLE]
To compute one needs conditional vectors and . Introducing a non-Hermitian Hamiltonian (like in the Wigner-Weisskopf theory)
[TABLE]
and the corresponding (non-unitary) propagator
[TABLE]
one finds
[TABLE]
from the limit
[TABLE]
and
[TABLE]
from
[TABLE]
The limits (81) and (V) one obtains from (26) and (27) by taking (IV.2) and division .
For a count at the time and no other counts in the interval we have the conditional vectors
[TABLE]
and
[TABLE]
The conditional vector (84) one obtains as the limit
[TABLE]
and the conditional vector (85) from
[TABLE]
where we put and by definition we have . The expressions one gets from (28) and (2).
In analogous way, for two counts at and , where , and no other counts in the interval , one gets
[TABLE]
[TABLE]
At first sight the above formulae seem to be complicated but the physical interpretation of individual terms are very intuitive. The term defined by the conditional vector gives the contribution to the probability of particular trajectory conditioned on the assumption that the two level system of the environment prepared in the upper state will appear after the time , so all photons measured by us up to were emitted by the system . The conditional vector gives a contribution to the probability based on the assumption that the system has already interacted with the two level system of the environment prepared in the upper state. So for instance, if we did not observe any photon up to the time , it means the system did not emit any photon and if it met photon of the external field in the period from [math] to it absorbed it. For the case of some counts in the expressions for one can recognize two sources of the measured photons: the external field and the system . The photon of the external field can be absorbed by or directly measured.
The derived formulas can be applied for any quantum system . We show the solution to the problem taking as a two-level atom prepared initially in the ground state . We take and for simplicity . From (80) and (82) one can easily find the analytical expression for the probability of not having any count in the time interval
[TABLE]
Moreover, we can check easily that the probabilities of two or more counts are equal to zero and the probability of having one count in the interval is equal to . By considering all possible trajectories one can check that the a priori solution has the form
[TABLE]
where
[TABLE]
is the a priori probability of excitation at time . The problem of the most efficient excitation of the two-level system by a single photon in a propagating mode was studied for instance in WMSS11 ; SAL10a ; SAL10b . But instead of the numerical treatment of the problem, our approach offers the analogical formulas for the probabilities of particular trajectories.
VI Conditional evolution for the diffusion process
In this Section we consider the measurement of the observable
[TABLE]
with , and
[TABLE]
being vectors from the Hilbert space .
We prove that the conditional state of and this part of the environment which has not interacted with up to the time at the moment can be written in the form of (12) with the conditional vectors , which satisfy the following recurrence equations
[TABLE]
[TABLE]
with the initial condition , . By we indicated the result of the measurement performed at on the -th qubits in the basis (VI).
The prove is straightforward if we notice that Eq. (III) can be written in the form
[TABLE]
The conditional vector from the Hilbert space is in this case defined by
[TABLE]
[TABLE]
where and . By (97) we see that has the form (23) with the conditional vectors , given by (95) and (96) , and it ends the proof.
The form of reflects the fact the system becomes entangled with the part of the environment which has not interacted with yet. We get a posteriori state of by taking the trace from over the future environment space. We obtain the conditional normalized density matrix of the form (34) and for the conditional matrix we have
[TABLE]
[TABLE]
Hence for a small and the matrix (IV.2) we obtain the difference equations
[TABLE]
[TABLE]
[TABLE]
The conditional probability of the outcome at the moment if the a posteriori state of at is
[TABLE]
is defined by
[TABLE]
where is given by (103) and one can check that
[TABLE]
where
[TABLE]
where and . Let us introduce the stochastic process
[TABLE]
The process in the limit converges to the Wiener process. One can check using the formula (108) that the mean values , . By making use of the following approximation for small values that
[TABLE]
one may derive the set of difference stochastic equations
[TABLE]
[TABLE]
[TABLE]
where
[TABLE]
In the limit we obtain the following stochastic differential equations of the form
[TABLE]
[TABLE]
[TABLE]
where
[TABLE]
, and initially we have , , and .
VII Conclusions
In this paper we derived a filtering equation (quantum trajectories) for a system interacting with the environment prepared in a continuous mode single photon state. The initial state of ‘system + photon field’ is factorized, however, the initial state of the field is highly entangled (depending on the photon profile ). We consider both the counting and diffusion processes. Although such filtering equation was already derived by Gough et al GJN11 ; GJNC12a our approach is different and much simpler. Authors of GJN11 ; GJNC12a start with the general quantum stochastic differential equation of Hudson and Parthasarathy HP84 and apply the general technique to the case of correlated single photon state. It is, therefore, clear that one has to assume the reader is familiar with quantum stochastic calculus. Our approach is more direct: starting with the simple repeated interaction model AP06 ; P08 ; PP09 ; P10 we present the model of a quantum system interacting with an infinite chain of identical and independent quantum systems representing the environment. This approach gives an intuitive and rigorous interpretation for the conditional evolution of the open quantum and quantum trajectories. Another advantage of our approach is simple and very intuitive interpretation of quantum trajectories. In particular we derive probability density of observing a particular trajectory corresponding to counts at and probability of no counts up to time . Our filtering equations in a continuous limit are consistent with the results given in GJN11 ; GJNC12a ; BC17 . It should be stressed that initial correlations of the photon field imply that the averaged filtering equation (over all possible results of measurements) is not of the standard Kossakowski–Lindbald form. Due to the presence of initial correlations the resulting averaged dynamics is highly non-Markovian. Interestingly, the non-Markovian nature of the physics here is rather due to the pre-existing entanglement in the environment, and not to any information back flow as is often the case in other non-Markovian systems BLP . This problem we are going to analyze in the forthcoming paper.
Acknowledgements
We thank anonymous referee for valuable comments. This paper was partially supported by the National Science Center project 2015/17/B/ST2/02026.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1(1) A. Barchielli and V.P. Belavkin, J. Phys. A: Math. Gen. 24 , 1495 (1991).
- 2(2) L. Bouten, M. Guţă, H. Maassen, J. Phys. A: Math. Gen. 37 3189 (2004).
- 3(3) V. P. Belavkin, Vol. 378 of the series Lecture Notes in Physic, pp. 151-163, 1991
- 4(4) H. Carmichael, An Open Systems Approach to Quantum Optics (Springer-Verlag Berlin-Heidelberg, 1993).
- 5(5) H. P Breuer and F. Petruccione, The Theory of Open Quantum Systems , (Oxford University Press, New York, 2002).
- 6(6) C.W. Gardiner and P. Zoller, Quantum noise (Springer-Verlag Berlin-Heidelberg, 2010).
- 7(7) H. M. Wiseman and G. J. Milburn, Quantum measurement and control , (Cambridge University Press, 2010).
- 8(8) A. Barchielli, in Lecture Notes Math. 1882, pp. 207-291, (Springer, Berlin, 2006)
