Noisy intermediate-scale quantum algorithms

K Bharti, A Cervera-Lierta, TH Kyaw, T Haug… - Reviews of Modern …, 2022 - APS
A universal fault-tolerant quantum computer that can efficiently solve problems such as
integer factorization and unstructured database search requires millions of qubits with low …

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 …

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] 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 …

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 …

Quantum approximate optimization algorithm: Performance, mechanism, and implementation on near-term devices

L Zhou, ST Wang, S Choi, H Pichler, MD Lukin - Physical Review X, 2020 - APS
The quantum approximate optimization algorithm (QAOA) is a hybrid quantum-classical
variational algorithm designed to tackle combinatorial optimization problems. Despite its …

Characterizing quantum supremacy in near-term devices

S Boixo, SV Isakov, VN Smelyanskiy, R Babbush… - Nature Physics, 2018 - nature.com
A critical question for quantum computing in the near future is whether quantum devices
without error correction can perform a well-defined computational task beyond the …

Quantum computational advantage via 60-qubit 24-cycle random circuit sampling

Q Zhu, S Cao, F Chen, MC Chen, X Chen, TH Chung… - Science bulletin, 2022 - Elsevier
To ensure a long-term quantum computational advantage, the quantum hardware should be
upgraded to withstand the competition of continuously improved classical algorithms and …

Generation of genuine entanglement up to 51 superconducting qubits

S Cao, B Wu, F Chen, M Gong, Y Wu, Y Ye, C Zha… - Nature, 2023 - nature.com
Scalable generation of genuine multipartite entanglement with an increasing number of
qubits is important for both fundamental interest and practical use in quantum-information …