[HTML][HTML] The variational quantum eigensolver: a review of methods and best practices

J Tilly, H Chen, S Cao, D Picozzi, K Setia, Y Li, E Grant… - Physics Reports, 2022 - Elsevier
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al.(2014), has
received significant attention from the research community in recent years. It uses the …

Random quantum circuits

MPA Fisher, V Khemani, A Nahum… - Annual Review of …, 2023 - annualreviews.org
Quantum circuits—built from local unitary gates and local measurements—are a new
playground for quantum many-body physics and a tractable setting to explore universal …

Logical quantum processor based on reconfigurable atom arrays

D Bluvstein, SJ Evered, AA Geim, SH Li, H Zhou… - Nature, 2024 - nature.com
Suppressing errors is the central challenge for useful quantum computing, requiring
quantum error correction (QEC),,,–for large-scale processing. However, the overhead in the …

Strong quantum computational advantage using a superconducting quantum processor

Y Wu, WS Bao, S Cao, F Chen, MC Chen, X Chen… - Physical review …, 2021 - APS
Scaling up to a large number of qubits with high-precision control is essential in the
demonstrations of quantum computational advantage to exponentially outpace the classical …

Quantum supremacy using a programmable superconducting processor

F Arute, K Arya, R Babbush, D Bacon, JC Bardin… - Nature, 2019 - nature.com
The promise of quantum computers is that certain computational tasks might be executed
exponentially faster on a quantum processor than on a classical processor 1. A fundamental …

[HTML][HTML] Quantum computing in the NISQ era and beyond

J Preskill - Quantum, 2018 - quantum-journal.org
Abstract Noisy Intermediate-Scale Quantum (NISQ) technology will be available in the near
future. Quantum computers with 50-100 qubits may be able to perform tasks which surpass …

Power of data in quantum machine learning

HY Huang, M Broughton, M Mohseni… - Nature …, 2021 - nature.com
The use of quantum computing for machine learning is among the most exciting prospective
applications of quantum technologies. However, machine learning tasks where data is …

[HTML][HTML] A quantum engineer's guide to superconducting qubits

P Krantz, M Kjaergaard, F Yan, TP Orlando… - Applied physics …, 2019 - pubs.aip.org
The aim of this review is to provide quantum engineers with an introductory guide to the
central concepts and challenges in the rapidly accelerating field of superconducting …

The randomized measurement toolbox

A Elben, ST Flammia, HY Huang, R Kueng… - Nature Reviews …, 2023 - nature.com
Programmable quantum simulators and quantum computers are opening unprecedented
opportunities for exploring and exploiting the properties of highly entangled complex …

Superconducting qubits: Current state of play

M Kjaergaard, ME Schwartz… - Annual Review of …, 2020 - annualreviews.org
Superconducting qubits are leading candidates in the race to build a quantum computer
capable of realizing computations beyond the reach of modern supercomputers. The …