Quantum spatial search with electric potential long-time dynamics and robustness to noise Thibault Fredon1Julien Zylberman2Pablo Arnault1and Fabrice Debbasch2

2025-04-29 0 0 856.8KB 8 页 10玖币
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Quantum spatial search with electric potential : long-time dynamics and robustness
to noise
Thibault Fredon,1, Julien Zylberman,2Pablo Arnault,1and Fabrice Debbasch2
1Université Paris-Saclay, CNRS, ENS Paris-Saclay, INRIA,
Laboratoire Méthodes Formelles, 91190 Gif-sur-Yvette, France
2Sorbonne Université, Observatoire de Paris, Université PSL, CNRS, LERMA, 75005 Paris, France
We present various results on the scheme introduced in Ref. [1], which is a quantum spatial-
search algorithm on a two-dimensional (2D) square spatial grid, realized with a 2D Dirac discrete-
time quantum walk (DQW) coupled to a Coulomb electric field centered on the marked node. In
such a walk, the electric term acts as the oracle of the algorithm, and the free walk (i.e., without
electric term) acts as the “diffusion” part, as it is called in Grover’s algorithm. The results are
the following. First, we run simulations of this electric Dirac DQW during longer times than
explored in Ref. [1], and observe that there is a second localization peak around the node marked
by the oracle, reached in a time O(N), where Nis the number of nodes of the 2D grid, with a
localization probability scaling as O(1/ln N). This matches the state-of-the-art 2D DQW search
algorithms before amplitude amplification [2]. We then study the effect of adding noise on the
Coulomb potential, and observe that the walk, especially the second localization peak, is highly
robust to spatial noise, more modestly robust to spatiotemporal noise, and that the first localization
peak is even highly robust to spatiotemporal noise.
I. INTRODUCTION
Discrete-time quantum walks (DQWs) correspond to
the one-particle sector of quantum cellular automata
[3,4]. They can simulate numerous physical systems,
ranging from particles in arbitrary Yang-Mills gauge
fields [5] and massless Dirac fermions near black holes
[6], to charged quantum fluids [7], see also Refs. [818]
for other physics-oriented applications.
Moreover, DQWs can be seen as quantum analogs of
classical random walks (CRWs) [19], and can be used
to build spatial-search algorithms that outperform [20]
those built with CRWs. Continuous-time quantum walks
can also be used for such a purpose [21]. In 3spatial di-
mensions, DQW-based algorithms [20,21] find the loca-
tion of a marked node with a constant localization prob-
ability1after O(N)time steps, with Nthe number
of nodes of the three-dimensional grid, and this is ex-
actly the bound reached by Grover’s algorithm [2227].
However, no two-dimensional (2D) QW proposed so far
reaches Grover’s lower bound.
The state-of-the-art result using a 2D DQW was ob-
tained by Tulsi in Ref. [2]: Tulsi’s algorithm finds a
marked node with a localization probability scaling as
O(1/ln N)in O(N)time steps, where Nis the total
number of nodes. To reach a probability independent
of N, several amplitude amplification time steps have to
be performed after the quantum-walk part. These extra
time steps are Grover’s algorithm time steps, see Ref.
[28]. Taking the amplitude amplification into account,
Tulsi’s algorithm reaches an O(1) localization probabil-
ity after O(Nln N)time steps.
Other schemes of 2D DQW for spatial search have fol-
thibault.fredon@ens-paris-saclay.fr
1We call “localization probability” the probability to be at the
marked node, or nodes if there are several of them.
lowed, such as the one by Roget et al. in Ref. [29], where
the 2D DQW simulates a massless Dirac fermion on a
grid with defects. This scheme is inspired by physics,
and it reaches Tulsi’s bound using a coin of dimension 2
instead of 4. Recently, Zylberman and Debbasch intro-
duced in Ref. [1] a new DQW scheme for 2D quantum
spatial search. This scheme implements quantum search
by simulating the dynamics of a massless Dirac fermion
in a Coulomb electric field centered on the nodes to be
found. We call this DQW “electric Dirac DQW”2. In this
walk, the oracle is a position-dependent phase.
This oracle is diagonal in the position basis and can be
efficiently implemented on nqubits up to an error using
O(1
)primitive quantum gates [30]. This total number of
quantum gates is independant of nand makes possible
the implementation of the oracle on current Noisy Inter-
mediate Scale Quantum (NISQ) devices and on future
universal quantum computers.
Note also that the algorithm proposed in Ref. [1] con-
stitues actually a paradigm change in the construction of
search algorithms, because it is based on the physically
motivated idea that the position of the marked node can
be encoded in the shape of an artificial force field which
acts on the quantum walker.
One of the main results of Zylberman and Debbasch’s
paper [1] is a localization probability which displays a
2We call “Dirac DQW” a DQW that has as a continuum limit
the Dirac equation. Throughout this paper, the terminology
“electric Dirac DQW” will always refer to a Dirac DQW coupled
to a Coulomb electric potential, unless otherwise stated. In the
literature other types of electric potentials have been considered.
The reason why we do not specify the term “Coulomb” in the
present denomination “electric Dirac DQW” is because the idea
we want to convey is that the marked node is encoded in the
shape of the electric potential, but the precise form of the electric
potential, e.g., here, the fact that it is a Coulomb potential, may
not be that relevant.
arXiv:2210.13920v1 [quant-ph] 25 Oct 2022
2
maximum in ON→∞(1) time steps, the localization prob-
ability scaling as O(1/N)(a detailed analysis is presented
in Sec. III). Since it focuses on this result, Ref. [1] does
not offer an analysis of the walk at times much larger
than O(1). Moreover, practical implementation not only
on current NISQ devices, but also on future, circuit-based
quantum computers, can only be envisaged if the algo-
rithm is robust to noise (see for example Refs. [7,3137]);
this question is also not addressed in Ref. [1].
The aim of this article is to explore both aspects: long-
time dynamics and robustness to noise. The main results
are the following. First, the electric Dirac DQW exhibits
a second localization peak at a time scaling as O(N)
with localization probability scaling as O(1/ln N). This
makes this walk state-of-the-art for 2D DQW spatial
search before amplitude amplification. Moreover, this
second localization peak is highly robust to spatial noise.
Finally, the peak is also robust to spatiotemporal noise,
but not as much as it is to time-independent spatial noise.
The article is organised as follows. In Sec. II, we offer
a review of the electric Dirac DQW presented in Ref. [1].
In Sec. III, we study in details the first two maxima of
the localization probability. We show that the first maxi-
mum, already analyzed in Ref. [1], is actually present up
to N= 9 ×106>106'220 (have in mind that 20 is
the current average number of working qubits on most
IBM-Q plateforms3). We also present evidence for the
scaling laws characterizing both the first peak and the
second, long-time peak, which reaches Tulsi’s state-of-
the-art bound. In Sec. IV, we analyze the ressources one
needs to implement the quantum spatial search in terms
of qubits and primitive quantum operations. In Sec. V,
we show that the walk, and in particular the second peak,
have a good robustness to spatial oracle noise. We also
show that the first peak is robust even to spatiotemporal
noise. In Sec. VI, we propose an analysis of the walker’s
probability distributions. These probability distributions
show that the spatial noise does not affect the shape of
the peaks significantly. The peaks remain extremely high
relatively to the background, which shows not only good
but high robustness of the peaks to spatial oracle noise.
The probability distributions also show that the second
peak is sharper than the first one.
II. BASICS
A. Definition of the 2D electric Dirac DQW
We consider a 2D square spatial grid with nodes in-
dexed by two integers (p, q)[[0, M]]2, where MNis
the number of nodes along one dimension and N=M2is
the total number of nodes. The time is also discrete and
indexed by a label jN. The walker is defined by its
quantum state |Ψjiin the Hilbert space HCHP, where
HC, called coin space, is the two-dimensional Hilbert
3https://quantum-computing.ibm.com/services/resources
space which corresponds to the internal, coin degree of
freedom, and HP, called position space, corresponds to
the spatial degrees of freedom. The wavefunction of the
state will be denoted as Ψj,p,q ψL
j,p,q ψR
j,p,q>, where
>denotes the transposition. The discrete-time evolution
of the walker is defined by the following one-step evolu-
tion equation,
Ψj+1,p,q = (UΨj)p,q .(1)
The one-step evolution operator, also called walk opera-
tor,U, is defined by
U:=eieφ R(θ)S2R(θ+)S1,(2)
where S1,2are standard shift operators,
(S1Ψ)L
p,q :=ψL
p+1,q (3a)
(S1Ψ)R
p,q :=ψR
p1,q (3b)
(S2Ψ)L
p,q :=ψL
p,q+1 (3c)
(S2Ψ)R
p,q :=ψR
p,q1,(3d)
R(θ)is a coin-space rotation, also called coin operator,
defined by
R(θ):="cos θ i sin θ
isin θcos θ#,(4)
and
θ±:=±π
4µ
2,(5)
with µsome real parameter. The operator eieφ is diag-
onal in position space, i.e., it acts on Ψjas
(eieφΨj)p,q =eieφp,q Ψj,p,q ,(6)
with φ: (p, q)7→ φp,q Rsome sequence of the lattice
position, and ea parameter that we can call charge of
the walker, see why further down. The sequence φcan
be called lattice electric potential for at least two rea-
sons: (i) in the continuum limit (see below, Sec. II B),
this sequence indeed becomes, mathematically, an elec-
tric potential coupled to the walker, who then obeys the
Dirac equation, and (ii) beyond the continuum limit, it
has been shown that similar 2D DQWs exhibit an exact
lattice U(1) gauge invariance [38] which, in the contin-
uum limit, becomes the standard U(1) gauge invariance
of the Dirac equation coupled to an electromagnetic po-
tential.
B. Continuum limit
We introduce a spacetime-lattice spacing , and coordi-
nates tj:=j,xp:=p and yq:=q [39,40]. We assume
that Ψj,p,q coincides with the value taken at point tj,xp
摘要:

Quantumspatialsearchwithelectricpotential:long-timedynamicsandrobustnesstonoiseThibaultFredon,1,JulienZylberman,2PabloArnault,1andFabriceDebbasch21UniversitéParis-Saclay,CNRS,ENSParis-Saclay,INRIA,LaboratoireMéthodesFormelles,91190Gif-sur-Yvette,France2SorbonneUniversité,ObservatoiredeParis,Univers...

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