Computational advantage of quantum random sampling

06/08/2022
by   Dominik Hangleiter, et al.
0

Quantum random sampling is the leading proposal for demonstrating a computational advantage of quantum computers over classical computers. Recently, first large-scale implementations of quantum random sampling have arguably surpassed the boundary of what can be simulated on existing classical hardware. In this article, we comprehensively review the theoretical underpinning of quantum random sampling in terms of computational complexity and verifiability, as well as the practical aspects of its experimental implementation using superconducting and photonic devices and its classical simulation. We discuss in detail open questions in the field and provide perspectives for the road ahead, including potential applications of quantum random sampling.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/16/2020

Variational Quantum Algorithms

Applications such as simulating large quantum systems or solving large-s...
research
01/11/2022

Systematic Literature Review: Quantum Machine Learning and its applications

Quantum computing is the process of performing calculations using quantu...
research
07/26/2023

Verifiable measurement-based quantum random sampling with trapped ions

Quantum computers are now on the brink of outperforming their classical ...
research
07/29/2017

Extreme Quantum Advantage for Rare-Event Sampling

We introduce a quantum algorithm for efficient biased sampling of the ra...
research
07/27/2023

Can Quantum Computing Improve Uniform Random Sampling of Large Configuration Spaces? (Preprint)

A software product line models the variability of highly configurable sy...
research
11/14/2022

Assessing requirements to scale to practical quantum advantage

While quantum computers promise to solve some scientifically and commerc...
research
09/04/2021

A review of Quantum Neural Networks: Methods, Models, Dilemma

The rapid development of quantum computer hardware has laid the hardware...

Please sign up or login with your details

Forgot password? Click here to reset