Quantum-to-classical crossover in single-electron emitter Y . Yin1 1Department of Physics Sichuan University Chengdu Sichuan 610065 China

2025-04-29 0 0 1.37MB 17 页 10玖币
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Quantum-to-classical crossover in single-electron emitter
Y. Yin1,
1Department of Physics, Sichuan University, Chengdu, Sichuan, 610065, China
(Dated: November 17, 2022)
We investigate the temperature-driven quantum-to-classical crossover in a single-electron emitter. The emitter
is composed of a quantum conductor and an electrode, which is coupled via an Ohmic contact. At zero temper-
ature, it has been shown that a single electron can be injected coherently by applying an unit-charge Lorentzian
pulse on the electrode. As the electrode temperature increases, we show that the electron emission approaches
a time-dependence Poisson process at long times. The Poissonian character is demonstrated from the time-
resolved full counting statistics. In the meantime, we show that the emission events remain correlated, which is
due to the Pauli exclusion principle. The correlation is revealed from the emission rates of individual electrons,
from which a characteristic correlation time can be extracted. The correlation time drops rapidly as the elec-
trode temperature increases, indicating that correlation can only play a non-negligible role at short times in the
high-temperature limit. By using the same procedure, we further show that the quantum-to-classical crossover
exhibits similar features when the emission is driven by a Lorentzian pulse carrying two electron charge. Our
results show how the electron emission process is affected by thermal fluctuations in a single-electron emitter.
I. INTRODUCTION
The on-demand control of coherent electron emission in
mesoscopic conductors has attracted much interest in recent
decades [1, 2]. In a simple setup, the electrons are emitted
from an electrode into a conductor though an Ohmic contact,
which are driven by voltage pulses V(t). For a single-channel
quantum conductor, the current I(t)follows instantly to V(t)
as I(t) = e2V(t)/h, with ebeing the electron charge and h
being the Planck constant. However, the details of the emis-
sion process can be quite different in quantum and classical
limits.
In the quantum limit, the current is due to the coherent
emission of electrons or holes, which are usually accompa-
nied by neutral electron-hole pairs. Their wave functions are
well-defined, which can be extracted by quantum tomogra-
phy methods [3–7]. In particular, by using an unit-charge
Lorentzian pulse V(t)with time width W,i.e., V(t) =
hW/[πe(W2+t2)], a single electron can be emitted on top of
the Fermi sea without accompanied electron-hole pairs [8, 9].
It has been called a leviton, whose wave function can be given
as ψL(t) = pW/(2π)/(t+iW/2). The emission proba-
bility density of the leviton follows instantly to the voltage
pulse as |ψL(t)|2=I(t)/e =eV (t)/h, indicating an excel-
lent synchronization between the electron emission and driv-
ing voltage. In contrast, the current corresponds to the in-
coherent emission of electrons and/or holes in the classical
limit. This typically occurs at high temperatures, when ther-
mal fluctuations in the electrode can play an important role.
The emission events can be treated as random and indepen-
dent, which follow Poisson statistics. In this limit, the voltage
pulse does not control the emission probability density of in-
dividual electrons. Instead, it decides the overall emission rate
of the emission process.
One expects that the quantum to classical crossover occurs
as the temperature of the electrode increases. Indeed, the
Author to whom correspondence should be addressed; yin80@scu.edu.cn.
many-body quantum state of the emitted electrons can evolve
from a pure state into a mixed one due to thermal fluctuations
[10, 11]. This can lead to a reduction of the dc shot noise
[12–14]. But the electron anti-bunching is robust against tem-
perature, which has been revealed from the Hong-Ou-Mandel
interference [12]. This indicates that the quantum coher-
ence between different electrons is still preserved and hence
the temperature-induced quantum-to-classical crossover is in-
complete. In the case of dc driving when V(t) = V0, this
has been clearly demonstrated from the waiting time distribu-
tion W(τ)(WTD), which gives the distribution of time delays
τbetween successive electrons [15–19]. At zero tempera-
ture, W(τ)follows the Wigner-Dyson distribution, which has
a zero dip around τ= 0 and a Gaussian tail as τ+[16].
As the electrode temperature Tincreases, the tail approaches
an exponential distribution when Tis comparable to eV0/kB,
with kBbeing the Boltzmann constant. In contrast, the es-
sential shape of W(τ)remains unchanged, especially around
the zero dip [17]. This implies that the emission approaches a
Poisson process at long times, but the emission events are still
correlated at short times.
However, the crossover can have a different nature when the
emission is driving by the Lorentzian pulse. First, the pulse
width Wprovides an important time scale in this case. In
fact, it decides the crossover temperature, which separates the
high- and low-temperature regions for the dc shot noise [10].
Secondly, the full counting statistics (FCS) changes drasti-
cally as the temperature increases: In the classical limit, the
emission tends to follow the Poisson statistics. While in the
quantum limit, the voltage pulse injects exactly one electron
into the quantum conductor. This make the WTD less suitable
for the study of emission in this limit. Finally, as the emis-
sion is triggered by a time-dependent voltage, it is helpful to
elucidate the relation between the electron emission and the
driving voltage, which is also absent from the WTD.
To solve this problem, in this paper we discuss the
quantum-to-classical crossover by combining the time-
resolved full counting statistics and electron emission rates.
The time-resolved FCS Pn(t)gives the probability of emitting
nelectrons up to a given time t, which can be extracted from
arXiv:2210.14497v2 [cond-mat.mes-hall] 16 Nov 2022
2
}
n=1
n=2
n=3
...
42 0 2 4
0.0
0.5
1.0
𝑃𝑛(𝑡)
(b)
𝑇/𝑇𝑊=0.01
42 0 2 4
𝑡/𝑊
(c)
𝑇/𝑇𝑊=0.1
42 0 2 4
(d)
𝑇/𝑇𝑊=1.0
42 0 2 4
𝑡/𝑊
0.0
0.5
1.0
1.5
𝜆1(𝑡)𝑊
(e)
𝑇/𝑇𝑊=0.01
𝑇/𝑇𝑊=0.1
𝑇/𝑇𝑊=1.0
𝜆𝑞(𝑡)
𝜆𝑐(𝑡)
42 0 2 4
4
2
0
2
4
𝑡1/𝑊
(f)
42 0 2 4
(g)
42 0 2 4
(h)
42 0 2 4
0.0
0.5
1.0
𝜆2(𝑡|𝑡1)𝑊
(i)
42 0 2 4
𝑡/𝑊
(j)
42 0 2 4
(k)
𝜆𝑐(𝑡)
𝜆𝑞(𝑡)
FIG. 1. (a) Illustration for the real-time electron counting mea-
surements. A single measurement is represented by a sequence of
random points in the time trace. The k-th point in each time trace
represents the emission time of the k-th electron. The emission of
the k-th electron is governed by the corresponding emission rate
λk(t|t1,...,tk1). In the figure, we mark the emission of the first,
second and third electrons by the red, green and blue dots, which
correspond to the emission rate λ1(t),λ2(t|t1)and λ3(t|t1, t2), re-
spectively. The time-resolved FCS Pn(t)is obtained from the statis-
tics gathered from a large number of measurements. (b-d) The time-
resolved FCS Pn(t)at different temperatures T/TW= 0.01 (b),
T/TW= 0.1(c) and T/TW= 1.0(d). The red solid, green dashed
and blue dotted curves correspond to n= 0,1and 2, respectively.
The thin gray solid curves correspond to the quantum limit from
Eq. (1). The thin black dotted curves represent the classical limit
from Eq. (2). (e) The emission rate λ1(t)of the first electron at
different temperatures. The gray solid and black dotted curves rep-
resent the quantum and classical limit for the emission rate. See text
for details. (f-h) The emission rate λ2(t|t1)of the second electron
at different temperatures T/TW= 0.01 (f), T/TW= 0.1(g) and
T/TW= 1.0(h). They are shown as contour plots in the t-t1plane.
(i-j) The emission rate λ2(t|t1)as a function of tfor three typical t1
at different temperatures. The red solid, green dash-dotted and blue
dashed curves correspond to t1/W =2.0,1.0and 0.0, while the
red dots, green squares and blue triangles represent the point t=t1,
respectively. The classical and quantum limit of the emission rates
λq(t)and λc(t)are also plotted by the gray solid and black dotted
curves for comparison.
the statistics gathered on a large number of measurements
[37]. Each single measurement is represented by a random
time sequence {t1, t2, . . . , tk,...tn}, where each tkstands
for the emission time of the k-th electron [See Fig. 1(a) for
illustration]. The emission of the k-th electron is governed by
the corresponding emission rate λk(t|t1, t2, . . . , tk1), which
describes the expected number of electrons emitted in a given
infinitesimal time interval [t, t +dt]. As the emission events
are generally correlated in quantum conductors [20], the emis-
sion rate depends not only on the time t, but also on the emis-
sion times {t1, t2, . . . , tk1}of all previously emitted elec-
trons.
The typical temperature-dependence of Pn(t)is illustrated
in Fig. 1(b-d). In the quantum limit when the temperature T
is very low, Pn(t)can be well-approximated from the wave
function of leviton as
Pn(t) =
1Rt
−∞ |ψL(t)|2, n = 0
Rt
−∞ |ψL(t)|2, n = 1
0, n 2
.(1)
The quantum limit of Pn(t)is shown by the gray solid curves
in the figure. At high temperatures, Pn(t)tends to follow the
classical limit, which corresponds to the time-dependent Pois-
son distribution
Pn(t) = hRt
−∞ λc(τ)in
n!exp Zt
−∞
λc(τ),(2)
where the emission rate λc(t)is decided by the driving pulse
as λc(t) = eV (t)/h. The classical limit of Pn(t)is plotted by
the black dotted curves. The figure shows that Pn(t)evolves
from the quantum limit to the classical limit as the tempera-
tures Tapproaches TW=~/(kBW), which providing a clear
signature of the quantum-to-classical crossover.
The behavior of Pn(t)suggests that the emission rates of all
the electrons should approach the classical limit λc(t)at high
temperatures. We find that this only holds for the emission
rate of the first electron λ1(t), which is illustrated in Fig. 1(e).
The figure shows that λ1(t)evolves from the quantum limit
λq(t) = V(t)/[1 Rt
−∞ V (τ)] (gray solid curve) to the
classical limit λc(t)(black dotted curve) as the temperature T
approaches TW. However, other emission rates do not fully
follow this behavior. This can be seen from the emission rate
of the second electron λ2(t|t1), which are displayed as con-
tour plots in the t-t1plane [Fig. 1(f-h)]. As the emission of the
second electron is the coeffect of the driving pulse and ther-
mal fluctuations, it remains rather small at low temperatures
[Fig. 1(f)]. At moderate temperatures [Fig. 1(g)], it depends
significantly on both tand t1, indicating strong correlations
between the emission of the first and second electrons. In par-
ticular, λ2(t|t1)always drops to zero as tapproaches t1. This
is better demonstrated in Fig. 1(j), where the points t=t1for
three typical t1are marked by the red dots, blue triangles and
green squares. This indicates that the emission of the second
electron is coupled to the first one due to the Pauli exclusion
principle. At high temperatures [Fig. 1(h)], the correlations re-
main pronounced, but can only be seen at short times. We find
3
that λ2(t|t1)tends to follow Θ(tt1)λc(t)in the high temper-
ature limit. This can be better seen from Fig. 1(k), where λc(t)
is plotted by the black dotted curve for comparison. These be-
haviors show that, as the electrode temperature increases, the
electron emission approaches a time-dependent Poisson pro-
cess at long times, but the correlations between the emission
events are always preserved at short times. By using a simi-
lar procedure, we find that similar behaviors can also be seen
when the emission is driven by a Lorentzian pulse carrying
two electron charge.
This paper is organized as follows. In Sec. II, we introduce
a procedure to calculate the time-resolved statistics and emis-
sion rates for the electron emission in quantum conductors. In
Sec. III, we demonstrate the procedure by studying the sin-
gle and two electron emissions at zero temperature. The finite
temperature effect is discussed in Sec. IV. We summarize our
results in Sec. V.
II. TIME-RESOLVED STATISTICS OF A QUANTUM
EMITTER
The statistics of the electron emission process can be de-
scribed by two equivalently ways. On one hand, it can be
characterized by n-fold delayed coincidences, which gives the
joint probability that one electron is emitted in each infinites-
imal time interval [ti, ti+dt](with i= 1,2, . . . , n). It can be
expressed as
gn(t1, . . . , tn) = ha(t1). . . a(tn)a(tn). . . a(t1)i
− ha(t1). . . a(tn)a(tn). . . a(t1)i0,(3)
where a(t)and a(t)represent the creation and annihilation
operations of electrons, respectively. Here the two angular
brackets h. . . iand h. . . i0denote the quantum-statistical aver-
age over the many-body electron states with and without the
emitted electrons, respectively. In doing so, one excludes the
contribution from the undisturbed Fermi sea [4, 21]. The coin-
cidences functions are just the diagonal part of the Glauber’s
correlation functions [22–27], which can be extracted from
the current correlation measurements [3, 4, 28].
In contrast, the emission process can also be investigated by
real-time electron counting techniques [29–33]. This can be
used to extract the information of electron process in single-
shot experiments. In this case, the emission process can be de-
scribed by recording each individual emission event in a time
trace [See Fig.1(a) for illustration]. This allows us to repre-
sent emission events by random points in a line. One usually
further assumes that two emission events cannot occur exactly
at the same time, i.e., there can only exist at most one emis-
sion event in an arbitrary infinitesimal time interval [t, t +dt].
This assumption has been proved to be valid for typical emis-
sion processes, such as photon emission in quantum optics
and neuronal spike emission in neuroscience [24, 34–36].
The emission process can be characterized by the time-
resolved statistics of these events. For example, it can be char-
acterized by the time-dependent counting statistics Pn(ts, te),
which gives the probability to emit nelectrons in a given
time interval [ts, te]. It can also be described by statistics of
times, such as idle time distribution Π0(ts, te), which gives
the probability that no electron is emitted in the time inter-
val [ts, te]. The WTD can be obtained from Π0(ts, te)by its
second derivative [16]. Note that all these quantities usually
depend on two times tsand te, which can be treated as the
starting and ending times of the electron counting measure-
ments.
It is inconvenient to describe the time-resolved statis-
tics directly in terms of the n-fold delayed coincidences
gn(t1, . . . , tn). In contrast, the exclusive joint probability
density fn(t1, . . . , tn;ts, te)(with n1) has been intro-
duced [24, 38]. It gives the joint probability that one electron
is emitted in each infinitesimal time interval [ti, ti+dt](with
i= 1,2, . . . , n and all ti[ts, te]), while no other electron
is emitted in the time interval [ts, te]. It has been shown that
fn(t1, . . . , tk;ts, te)can be related to gn(t1, . . . , tn)as
fn(t1, . . . , tn;ts, te) =
+
X
k=n
(1)kn
(kn)! Zte
ts
dtn+1... Zte
ts
dtkgk(t1, . . . , tn, tn+1, . . . , tk).(4)
This relation is derived from the definition of
fn(t1, . . . , tn;ts, te)and gn(t1, . . . , tn), which is inde-
pendent on the nature of the emitted particles [24]. So it can
be applied to both Bosons and Fermions.
All the time-resolved statistics can be obtained from
fn(t1, . . . , tn;ts, te)in a direct way. In particular, the FCS
Pn(ts, te)for n1can be given as
Pn(ts, te) = 1
n!Zte
ts
dt1· · · Zte
ts
dtnfn(t1, t2, . . . , tn;ts, te).
(5)
For n= 0, the corresponding FCS P0(ts, te), or equivalently
the idle time distribution Π0(ts, te), can be obtained via the
normalization relation
Π0(ts, te) = P0(ts, te)=1
+
X
n=1
Pn(ts, te).(6)
Comparing to the FCS, the exclusive joint probability den-
sities fn(t1, . . . , tn;ts, te)contain much detailed informa-
tion on the emission process. In particular, one can ex-
tract the emission rate of each individual electron from them
[36, 38, 39]. This can be better understood by starting from
a stationary Poisson process with emission rate λ0. In this
4
case, the emission events are random and independent. The
corresponding coincidence function can be simply given as
gk(t1, . . . , tn) = λn
0. From Eq. (4), one finds that
fn(t1, . . . , tn;ts, te) = λn
0exp[λ0(tets)],(7)
whose FCS follows the well-known Poisson statistics
Pn(ts, te) = [λ0(tets)]n
n!exp[λ0(tets)].(8)
The corresponding idle time distribution can be expressed as
Π0(ts, te) = exp[λ0(tets)].
The physical meaning of Eq. (7) can be better seen by
rewriting it in the form
fn(t1, . . . , tn;ts, te) = exp[λ0(t1ts)]
×
n1
Y
i=1
{λ0exp[λ0(ti+1 ti)]}
×λ0exp[λ0(tetn)].(9)
Here each λ0gives the emission probability of an electron
in each infinitesimal time interval [ti, ti+dt]. The exponen-
tial factors are just idle time distributions, they ensure that no
other electron can be emitted between these infinitesimal time
intervals. From the above expression, one finds that the emis-
sion rate can be obtained from fn(t1, . . . , tn;ts, te)as
λ0=fn+1(t1, . . . , tn, tn+1;ts, tn+1)
fn(t1, . . . , tn;ts, tn).(10)
Alternatively, it can also be related to the idle time distribution
as
λ0=f1(t1;ts, t1)
Π0(ts, t1).(11)
In general cases, the emission rate of an electron has a
more complicated form. On one hand, it depends explic-
itly on the time t, which is due to the time-dependence of
the driving voltage. On the other hand, it also depends on
the history of the emission process, which can be induced by
the quantum coherence between electrons [20]. So the emis-
sion rates are different for different electrons. For the n-th
electron, the corresponding emission rate can be written as
λn(t|ts, t1, . . . , tn1). It is essentially a conditional intensity,
which gives the expected number of electrons emitted in the
infinitesimal time interval [t, t +dt], under the condition that
there are n1electrons emitted previously in each infinitesi-
mal time interval [ti, ti+dt](with i= 1,2, . . . , n 1). Here
the history of the emission process is represented by the or-
dered time sequence t1, . . . , tn1, which satisfies
ts< t1<· · · < tn1< t. (12)
Equation (9) can be generalized to incorporate the history-
dependence of the emission rate. For example, f1(t1;ts, te)
can be expressed in terms of λ1(t)and λ2(t|t1), which has
the form
f1(t1;ts, te) = exp Zt1
ts
λ1(τ|ts)
×λ1(t1|ts) exp Zte
t1
λ2(τ|ts, t1).(13)
The expression looks complicated at the first sight, but
it can be understood in the similar way as Eq. (9). It
is composed by three factors: 1) The exponential fac-
tor exp hRt1
tsλ1(τ|ts)iis just the idle time distribution
Π0(ts, t1), it ensures that no electron can be emitted in the
time interval [ts, t1]; 2) λ(t1|ts)gives the emission probability
of the first electron in the infinitesimal time interval [t1, t1+
dt]; 3) The exponential factor exp hRte
t1λ2(τ|ts, t1)ican
be treated as a conditional idle time distribution. It guarantees
that if the first electron has been emitted at the time t1, the
second electron cannot be emitted before the time te. From
the definition of f1(t1;ts, te), one finds that the emission rate
λ1(t|ts)of the first electron can be given as
λ1(t|ts) = f1(t;ts, t)
Π0(ts, t).(14)
The exclusive joint probability density for arbitrary ncan
be constructed in a similar way, which depends on the emis-
sion rates up to the (n+ 1)-th electron. To write it in a more
compact form, one reminds that the emission times tifollows
the relation given in Eq. (12). Due to this restriction, all the
emission rates can be composed into a piece-wise function
λ(t), which has the form
λ(t) =
λ1(t|ts), ts< t t1
λ2(t|ts, t1), t1< t t2
.
.
.
λn+1(t|ts, t1, . . . , tn), tn< t te
(15)
In doing so, fn(t1, . . . , tn;ts, te)can be written as [38]
fn(t1, t2, . . . , tn;ts, te) =
n
Y
i=1
λ(ti) exp Zte
ts
λ(τ).
(16)
From this expression, one finds that the emission rate for the
n-th electron (n2) can be given as
λn(t|ts, t1, . . . , tn1) = fn(t1, . . . , tn1, t;ts, t)
fn1(t1, . . . , tn2, t;ts, t).(17)
Generally speaking, one can calculate the FCS and emis-
sion rates from the coincidences gn(t1, . . . , tn)by using
Eqs. (4), (5), (6), (14) and (17) . However, the calculation
is rather involved in general cases. For non-interacting sys-
tems, this can be greatly simplified, as the system can be fully
decided by the corresponding first-order Glauber correlation
functions G(t, t0) = ha(t)a(t0)i − ha(t)a(t0)i0[40–44]. In
a previous work, Macchi has shown that fn(t1, . . . , tn;ts, te)
can be calculated from G(t, t0)by solving the eigenvalue
equation [35]:
Zte
ts
dt0G(τ, τ0)ϕα(τ0) = να(ts, te)ϕα(τ),(18)
with α= 1,2, . . . being the index of the eigenvalues and
eigenfunctions. The eigenvalue να(ts, te)satisfies 0να
摘要:

Quantum-to-classicalcrossoverinsingle-electronemitterY.Yin1,1DepartmentofPhysics,SichuanUniversity,Chengdu,Sichuan,610065,China(Dated:November17,2022)Weinvestigatethetemperature-drivenquantum-to-classicalcrossoverinasingle-electronemitter.Theemitteriscomposedofaquantumconductorandanelectrode,whichi...

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