Quantum resetting in continuous measurement induced dynamics of a qubit Varun Dubey1 Raphael Chetrite2 Abhishek Dhar1

2025-05-01 0 0 712.46KB 28 页 10玖币
侵权投诉
Quantum resetting in continuous measurement
induced dynamics of a qubit
Varun Dubey1, Raphael Chetrite2, Abhishek Dhar1
1International Centre for Theoretical Sciences, Tata Institute of Fundamental
Research, Bengaluru 560089, India,
2Universit´e Cˆote d’Azur, CNRS, LJAD, Parc Valrose, 06108 NICE Cedex 02, France
E-mail: varun.dubey@icts.res.in, raphael.chetrite@unice.fr and
abhishek.dhar@icts.res.in
Abstract. We study the evolution of a two-state system that is monitored
continuously but with interactions with the detector tuned so as to avoid the Zeno
affect. The system is allowed to interact with a sequence of prepared probes. The
post-interaction probe states are measured and this leads to a stochastic evolution
of the system’s state vector, which can be described by a single angle variable. The
system’s effective evolution consists of a deterministic drift and a stochastic resetting
to a fixed state at a rate that depends on the instantaneous state vector. The detector
readout is a counting process. We obtain analytic results for the distribution of number
of detector events and the time-evolution of the probability distribution. Earlier work
on this model found transitions in the form of the steady state on increasing the
measurement rate. Here we study transitions seen in the dynamics. As a spin-off
we obtain, for a general stochastic resetting process with diffusion, drift and position
dependent jump rates, an exact and general solution for the evolution of the probability
distribution.
1. Introduction
The problem of repeated measurements on quantum systems is of great interest in the
context of monitoring and controlling its time evolution and in the context of answering
questions such as that of the time of arrival. Of particular interest is the situation
where a system is coupled to a probe and repeated measurements are performed on
the probe. An obviously interesting question is as to what these measurements on the
probe can tell us about the system. A number of recent experiments have looked at
the trajectories of quantum systems subjected to repeated measurements [1, 2, 3, 4].
General discussions of measurements and quantum trajectory theory can be found in
Refs. [5, 6, 7, 8, 9, 10, 11, 12].
A quantum system that is continuously monitored via direct measurements remains
frozen in its state. This is the well known quantum Zeno effect [13, 14, 15, 16]. The Zeno
freezing can be avoided under the scheme of indirect measurements where the system is
allowed to interact for a period τwith a probe, with an interaction strength that scales as
arXiv:2210.15188v2 [quant-ph] 10 Apr 2023
Quantum resetting in continuous measurement induced dynamics of a qubit 2
τ1/2, and then the state of the probe is measured projectively [17]. Depending upon the
result of this measurement, one obtains partial information about the state of the object
system. If this process is repeated with identically prepared probes, then the Zeno efect
is avoided and system evolves stochastically. It can be shown [5, 6, 7, 8, 9, 10, 11, 18]
that, for a two-state object system interacting with a sequence of identically prepared
probes (which are also two-state systems), the state of the object system evolves via a
stochastic Schr¨odinger equation with jumps. Furthermore, when the interaction strength
between the object system and the probes scales as τ1/2, the reduced density matrix
of the system evolves via a Lindblad equation. Any given stochastic trajectory of the
wavefunction corresponds to the system’s evolution for a particular outcome of the
measurement sequence. Averaging over these outcomes corresponds to the case of blind
measurements and the entire information of the system’s evolution is contained in the
reduced density matrix.
The basis of the current work is the model described in Ref. [19]. In this work, the
authors have considered a measurement problem on a two-state system similar to the
one described in the last paragraph. The principal conclusion is that upon variation
of the relative strength λ(defined below, see Eq.(18)) of measurement, the system
exhibits transitions which mark various stages in the onset of the quantum Zeno effect.
Note that usual Zeno effect refers to the phenomena whereby a system’s dynamics gets
frozen as a result of continuous measurements on it. This Zeno effect is avoided with
the choice of interaction strength scaling as τ1/2. But what Ref. [19] finds for their
model is that in the limit of infinite measurement strength there is again a freezing of
the dynamics. Interestingly, signatures of this freezing appear even at large but finite
mesaurement strengths, with parts of the Hilbert space becoming inaccessible — this is
referred to as Zeno effect appearing in stages.
Following [19], we model the detector readouts as a counting process and investigate
the onset of the Zeno regime in the counting statistics of the readout process. We note
that similar investigations have been carried out in [20]. However, in the model we
consider, the counting process has a stochastic intensity [21] given by the rate function αt
in Eq. (27). Our calculations reveal that for λ= 2, the mean count E[Nt] of the counting
process exhibits a topological transition as remarked in [19]. Measurement induced
entanglement transitions and topological phase transitions based on Zeno physics have
gained considerable attention, in particular we note the recent studies [22, 23, 24, 25, 26].
These transitions have been identified with presence of exceptional points [27] in
the spectrum of non-Hermitian Hamiltonian which evolves the quantum state under
continuous measurement and post-selection. In [28], the spectral approach is employed
to investigate the properties of Markov processes that are reset to a fixed state at times
picked from an exponential distribution. [29, 30] consider exceptional points of non-
Hermitian Hamiltonians as well Liouvillians governing open system dynamics.
We point out that the stochastic dynamics of our qubit can be interpreted as the
overdamped motion of a particle in a tilted periodic potential with a resetting of the
position to a particular point, at a rate that depends on the particle position. Stochastic
Quantum resetting in continuous measurement induced dynamics of a qubit 3
resetting has been widely studied in the classical context [31, 32, 33, 34] but there are few
studies in the quantum context [35, 36, 37]. Our study provides a simple example where
stochastic resetting in a quantum system appears naturally as a result of measurements.
As our second main result, we use the renewal approach to compute the exact time-
dynamics of the probability distribution of the wavefunction.
The plan of this paper is as follows. In Sec. 2, we describe the basic setup and the
measurement protocol, discuss the emergence of the stochastic Schr¨odinger equation
and summarize known results from earlier work. We also discuss the Bloch sphere
representation of the qubit and the particular simplification that occurs for the system
we study. In Sec. 3 we present the calculation to obtain explicit expressions for the
generating function for the number of clicks and from it the mean number of clicks.
Sec. 4 contains the calculation for the time-evolution of the system using a renewal
approach. We then discuss a second approach based on the non perturbative formula
for the resolvent (Green’s function). In Sec. 5 we present some results on spectral
properties of the probability evolution operator and use it to write another solution for
the time evolution. We conclude in Sec. 6.
2. Basic setup and summary of earlier work
2.1. Definition of the model and dynamics
Consider a 2level system Swhose Hilbert space HSis spanned by the vectors
|ψ0i="1
0#,|ψ1i="0
1#.(1)
The system evolves with the Hamiltonian
HS="0γ0
γ00#=γ0σx(2)
where γ0is a positive frequency. σx, σy, σzrepresent the Pauli matrices. At any instance
t, the state of Sis given by the normalized vector
|ψ(t)i=a(t)|ψ0i+b(t)|ψ1i="a(t)
b(t)#.(3)
At this instance, Sis allowed to interact with another 2level system Dfor a short time
interval τ. The Hilbert space HDis spanned by {χ0, χ1}defined similarly as in Eq. (1).
At the start of the interaction, Dis assumed to be in the state χ0. The combined state
of the system Sand the detector Dis the uncorrelated vector
|Ψ(t)i=|ψ(t)i⊗|χ0i(4)
in the tensor product space H=HS⊗ HD. We adopt the convention that for states
or operators in H, the first factor corresponds to Sand the second factor to Din all
summands. The state Ψ(t) evolves in the interval τby the Hamiltonian
H=HSI+rγ
τπ1σy,(5)
Quantum resetting in continuous measurement induced dynamics of a qubit 4
where we note that the interaction part of the Hamiltonian is scaled as 1/τand γis
a non-negative coupling frequency. In Eq. (5), the projector π1=|ψ1ihψ1|and Iis the
identity operator. It follows that the combined state after the interval τis given by
|Ψ(t+τ)i= exp [iτ H]|Ψ(t)i
=|ψ(t)i⊗|χ0i+ (iτ)hHSiγ
2π1|ψ(t)ii⊗ |χ0i − iγτ[π1|ψ(t)]i ⊗ [σy|χ0i] + O(τ3
2).
Now a projective measurement in the basis |χ0i,|χ1i ‡ is performed to determine the
state of the detector. If the detector is found to be in the state |χ0i, then the un-
normalized state |˜
ψ(t+τ)iof the system, up to first order in τis given by
|e
ψ(t+τ)i=hIiτHsiγ
2π1i|ψ(t)i,(6)
The probability of this event, i.e, of the readout to be χ0, up to first order in τis given
by
p0= 1 γτ hψ|π1|ψi= 1 γτ |b(t)|2.(7)
If the readout is χ1, then the un-normalized state and the probability of the readout are
|e
ψ(t+τ)i=γτπ1|ψ(t)i(8)
p1=γτhψ|π1|ψi=γτ|b(t)|2.(9)
This completes description of one measurement cycle. Subsequently the object system
is coupled to another detector initialized in χ0and the process is repeated sequentially.
Every time a detector is measured to be in the state χ1corresponds to a ’click’.
In the limit τ=dt 0 the stochastic evolution of the normalized state is thus
given by
|ψ(t+dt)i=
|ψ(t)i+dt iHSγ
2π1+1
2αt|ψ(t)i,with prob. p0= 1 αtdt,
|ψ1i,with prob p1=αtdt,
(10)
where αtγhψ(t)|π1|ψ(t)i=γ|b(t)|2.(11)
Equivalently, we can write also the complex non linear stochastic equation
d|ψ(t)i=iHSγ
2π1+αt
2|ψ(t)idt +γπ1
αtI|ψ(t)idNt.(12)
Note that for the second outcome in Eq. (10) we should include a factor b(t)/|b(t)|.
However, rigorously, we should interpret the equation Eq. (12) (and all the others of
this articles) for the corresponding one-point projector |ψ(t)ihψ(t)|. In more explicit
vectorial way
d a(t)
b(t)!=" γ
2|b(t)|20
0γ
2+γ
2|b(t)|2!dt + 1 0
01 + 1
|b(t)|!dNt# a(t)
b(t)!.(13)
Note that the fact that the associated projectors π0, π1are rank 1, which is natural in this
bidimensional HD, is in fact for a multidimensional HDthe main hypothesis which permits to conserve
the purity of the system state and to write, as in the following, an equation for the pure state instead
of the (impure) density matrix.
Quantum resetting in continuous measurement induced dynamics of a qubit 5
In these equations, Ntis a Poisson counting process which counts the number of
clicks in any finite interval [0, t]. For almost all realizations one may take N0= 0. The
change dNtat the instance tbe defined as the Ito-differential with the usual properties
dNt=NtNt, dNtdNt=dNt, dNtdt = 0,(14)
where Nt= limt0tNt0(here we assume the trajectories of Ntare right continuous
with left limits) and with the expected value of the Poisson increment, conditioned upon
the fact that the state of the ket of system takes the value |ψ(t)i, is equal to
E[dNt] = αtdt =γ|b(t)|2dt. (15)
Equations (12, 13) are sometimes called stochastic Schr¨odinger equations [9] or
quantum trajectory for pure state. The first appearance of this type of equation with
Poisson noise in this set-up was in [38] and in [39]. Since then, different justifications
have been given for the fact that they model quantum systems which are subject to
continuous indirect measurements. The general case of quantum trajectories is for mixed
states and includes also Gaussian white noise [8, 9, 10].
For blind measurements one considers an average over the outcomes and the density
matrix ρ(t) = h|ψ(t)ihψ(t)|i evolves via
tρ(t) = i[HS, ρ(t)] + γ
2(2π1ρ(t)π1− {π1, ρ(t)}).(16)
which is the form of the Lindblad equation [40, 41] with only one Krauth operator π1
which is moreover self-adjoint.
Physically, two phenomena are in competition in equations (12, 13) :
(i) Collapsing in basis |ψ0i,|ψ1ithanks to continuous measurement. More precisely,
when γ00 (i.e. HS0), (12, 13) models the continuous measurement of π1.
As π1is a diagonal matrix in the basis |ψ0i,|ψ1i, this basis is said to be of non-
demolition form with respect to the measurement [9]. This will lead at large time
to [42, 43] the collapse in the basis |ψ0i,|ψ1iwith the born law with respect to the
initial ket |ψ(0)i, i.e. :
lim
t→∞ |ψ(t)i=(|ψ0iwith probability |hψ0|ψ(0)i|2
|ψ1iwith probability |hψ1|ψ(0)i|2.(17)
(ii) Rabi (coherent) oscillation due to unitary evolution. More precisely, when γ= 0,
then (14,15) dNt= 0 and the equation (12, 13) is the free (unitary) evolution with
Rabi Hamiltonian HSwhich leads to classical Rabi oscillation [44].
Note that in the general case with finite γ0and γ, as the commutator [HS, π1]6= 0,
the unitary evolution comes to prevent the asymptotic collapse (17). The asymptotic
behavior will then be a smooth invariant density that we will exhibit below. Note
also that the competition between continuous non demolition measurement and
thermalization (instead of free unitary evolution here) has recently been extensively
studied (see e.g Refs: [45, 46, 47]).
摘要:

QuantumresettingincontinuousmeasurementinduceddynamicsofaqubitVarunDubey1,RaphaelChetrite2,AbhishekDhar11InternationalCentreforTheoreticalSciences,TataInstituteofFundamentalResearch,Bengaluru560089,India,2UniversiteC^oted'Azur,CNRS,LJAD,ParcValrose,06108NICECedex02,FranceE-mail:varun.dubey@icts.res...

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