Googles Quantum Supremacy Claim Data Documentation and Discussion Gil Kalai Yosef Rinott and Tomer Shoham

2025-05-06 0 0 464.21KB 32 页 10玖币
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Google’s Quantum Supremacy Claim: Data,
Documentation, and Discussion
Gil Kalai, Yosef Rinott, and Tomer Shoham
January 26, 2023
Abstract
In October 2019, Nature published a paper [3] describing an ex-
periment that took place at Google. The paper claims to demonstrate
quantum (computational) supremacy on a 53-qubit quantum com-
puter. Since September 2019 we have been involved in a long-term
project to study various statistical aspects of the Google experiment.
We have been trying to gather the relevant data and information in
order to reconstruct and verify those parts of the Google experiment
that are based on classical computations (except when the required
computation is too heavy), and to perform a statistical analysis on
the data. This document describes the available data and information
for the Google experiment, some main questions in the evaluation of
the experiment, and some of our results and plans.
1 Introduction
The 2019 paper “Quantum supremacy using a programmable superconduct-
ing processor” [3] claimed that Google’s Sycamore quantum computer of 53
qubits and depth 20, performed a certain computation in about 200 seconds,
while a state-of-the-art classical supercomputer would take, according to the
Google team’s estimate, approximately 10,000 years to perform the same
computation. Google’s Sycamore quantum computer performed a sampling
task; that is, it generated random bitstrings of length 53, with considerable
noise, from a certain discrete probability distribution supported on all such
253 bitstrings. (Here, a bitstring refers to a vector with 0,1 entries.) The
1
arXiv:2210.12753v3 [quant-ph] 25 Jan 2023
specific sampling task performed by Google is referred to as random circuit
sampling (RCS, for short). Google’s announcement of quantum supremacy
was compared by various writers (see, e.g., [1]) to landmark technological
achievements such as the Wright brothers’ invention of a motor-operated air-
plane, the launching of Sputnik, and the landing of humans on the moon,
as well as to landmark scientific achievements such as Fermi’s demonstration
of a nuclear chain reaction, the discovery of the Higgs boson, and the LIGO
detection of gravitational waves.
In 2020 a team from the University of Science and Technology of China
(USTC) claimed [33] that the sampling task computed by their photonic
Jiuzhang quantum computer would take 2.5 billion years to perform on a
classical supercomputer. USTC’s quantum computer took about 200 seconds
to complete the task. This task is referred to as Gaussian boson sampling
(GBS, for short). In 2021, another team from USTC repeated the Google
RCS experiment with their Zuchongzhi quantum computer of 60 qubits and
depth 24 [32, 35], and claimed to achieve an even stronger form of quantum
advantage compared to the Google experiment.
The Google experiment represented a very large leap in various aspects
of the human ability to control noisy quantum systems. For example, the
previous experiment reported by the Google AI team used only nine qubits
[20]. This leap is especially impressive in terms of the dimensions of the
Hilbert space representing a state of the computer (from 100–500 dimensions
in [20] to 1016 dimensions in [3].)
Google’s quantum supremacy claim is based on two ingredients. The
first ingredient is an assertion about the quality of the samples produced
by the quantum computer. This quality is described in terms of an impor-
tant parameter called the fidelity. The second ingredient is an assertion
about the difficulty of achieving samples of the same quality by a clas-
sical supercomputer. The second assertion, and with it the entire quan-
tum supremacy claim, was largely refuted by research of several groups
[22, 21, 34, 12, 13, 23, 9] (among others) that exhibited classical algorithms
that are ten orders of magnitude faster than those used in the Google paper.
This was achieved, for example, by Pan, Chen, and Zhang [21] in 2021. Our
study concentrates on the first claim dealing with the estimated fidelity of
Google’s samples.
As we have already mentioned, the Google announcement was regarded
as a major scientific and technological breakthrough. On its own it gave some
evidence that the “strong Church–Turing thesis” had been violated and it
2
Figure 1: The price of bitcoin in USD in a period of 4 weeks around
9/23/2019. Source: CoinDesk
was described as an ironclad refutation of claims by some scientists (includ-
ing Kalai) that quantum computation is not possible. Of no less importance
is the fact that quantum supremacy was considered as a major intermedi-
ate step toward exhibiting experimentally quantum error-correction codes
needed for building larger quantum computers. The announcement of quan-
tum supremacy stirred a great deal of enthusiasm among scientists and in the
general public, and garnered significant media attention. It had a substantial
impact; for example, following the media attention surrounding the leaking
of the quantum supremacy claims around September 22, 2019, the value of
bitcoin (and other digital currencies) sharply dropped by more than 10%
and it is a reasonable possibility that given the potential threat of quantum
computers to the safety of digital currencies, the quantum supremacy claims
caused this drop.
Scrutinizing the Google supremacy claim
The Google paper was briefly posted on a NASA server and became publicly
available a month before it was published in October 2019. Following the
3
announcement of the quantum supremacy claim, the first-named author (and
other researchers) raised various concerns about some aspects of the claims.
A few months later the authors initiated what has become a long-term project
to study various statistical aspects of the Google experiment. In particular,
we have been trying to gather the relevant data and information and to
reconstruct and verify those parts of the Google experiment that are based on
classical computations, except when the required computation is too heavy.
(We carried out some heavy computation on the cloud for which we put a cap
of 2000 dollars on our spending.) We also performed several “sanity tests”
of the experiment.
The structure of this paper
In Section 2 we provide a brief background on the Google experiment and
describe the various types of circuits used in the experiment. We also present
the chronology of the various Google experiments performed on the Sycamore
quantum computer leading to the ultimate quantum supremacy experiment,
as reported to us by the Google team. In Section 3 we describe the nature
of the calibration process. In Section 4 we describe the data requested from
the Google team, the data that was provided between October 2019 and
June 2022, and some other details related to the Google experiment and
other NISQ quantum supremacy experiments. In Section 5 we present two
proposals for future experiments. In Section 6 we discuss what we regard
as the main questions in the evaluation of the Google experiment and list
some confirmations, refutations, concerns, and weaknesses, and in Section 7
we briefly discuss where we are now in our study.
2 Google’s quantum supremacy claim
2.1 A brief background
In this paper we will assume knowledge of the Google experiment, Google’s
noise model, Google’s FXEB linear cross-entropy fidelity estimator, and Google’s
Formula (77) in [4] for predicting the fidelity of a circuit from the fidelity of
its components. We will give here a brief summary of these topics.
The Google experiment is based on the building of a quantum computer
(circuit), with nsuperconducting qubits, that performs mrounds of compu-
4
tation. The computation is carried out by 1-qubit and 2-qubit gates. At the
end of the computation the qubits are measured, leading to a string of zeroes
and ones of length n. The ultimate experiment (on which Google’s central
claim was based) was for n= 53 and m= 20. It involved 1113 1-qubit gates
and 430 2-qubit gates. For that experiment the Google team produced a
sample of three million 0-1 vectors of length 53.
Every circuit Cwith nqubits describes a probability distribution PC(x)
for 0-1 vectors of length n. (In fact, it describes a 2n-dimensional vector
of complex amplitudes; for every 0-1 vector x, there is an associated ampli-
tude z(x) and PC(x) = |z(x)|2.) The quantum computer enables sampling
according to the probability distribution PC(x) with a considerable amount
of noise. When nand mare not too large, classical simulations enable com-
putation of the amplitudes themselves (and hence the probabilities PC(x)).
Google’s quantum supremacy claim is based on the fact that these classical
simulations quickly become infeasible as nand mgrow.
Google’s basic noise model for the noisy samples produced by their quan-
tum computer is
NC(x) = φPC+ (1 φ)2n,(1)
where φis the fidelity, a parameter that roughly describes the quality of the
sample. (The fidelity has a precise meaning in terms of the actual noisy
quantum process carried out by the quantum computer.)
Based on their noise model (and the fact that the distribution PCis an in-
stance of a Porter–Thomas distribution), the Google paper describes a statis-
tic called the linear cross-entropy estimator (denoted by FXEB .) Once the
quantum computer produces a sequence ˜x of Nsamples ˜x = (˜x(1),˜x(2),...,˜x(N)),
the following “linear cross-entropy” FXEB estimator of the fidelity is com-
puted:
FXEB(˜x) = 1
N
N
X
i=1
2nPC(˜x(i))1.(2)
Computing FXEB requires knowledge of PC(x) for sampled bitstrings.
The Google quantum supremacy claim is based also on the following a
priori prediction of the fidelity of a circuit based on the probabilities of error
for the individual components:
ˆ
φ=Y
g∈G1
(1 eg)Y
g∈G2
(1 eg)Y
q∈Q
(1 eq).(3)
5
摘要:

Google'sQuantumSupremacyClaim:Data,Documentation,andDiscussionGilKalai,YosefRinott,andTomerShohamJanuary26,2023AbstractInOctober2019,Naturepublishedapaper[3]describinganex-perimentthattookplaceatGoogle.Thepaperclaimstodemonstratequantum(computational)supremacyona53-qubitquantumcom-puter.SinceSeptemb...

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