Tight Bounds on the Convergence of Noisy Random Circuits to the Uniform Distribution-Reference-Cited by-同舟云学术

Tight Bounds on the Convergence of Noisy Random Circuits to the Uniform Distribution

Published:2022-12-16 Issue:4 Volume:3 Page:
ISSN:2691-3399
Container-title:PRX Quantum
language:en
Short-container-title:PRX Quantum

Author:

Deshpande Abhinav^ORCID,Niroula Pradeep,Shtanko Oles,Gorshkov Alexey V.^ORCID,Fefferman Bill,Gullans Michael J.^ORCID

Funder

National Science Foundation

AFOSR

Publisher

American Physical Society (APS)

Subject

General Physics and Astronomy,Mathematical Physics,Applied Mathematics,Electronic, Optical and Magnetic Materials,Electrical and Electronic Engineering,General Computer Science

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PRXQuantum.3.040329/fulltext

Reference37 articles.

1. Quantum Computing in the NISQ era and beyond

2. Quantum supremacy using a programmable superconducting processor

3. Quantum computational advantage using photons

4. Phase-Programmable Gaussian Boson Sampling Using Stimulated Squeezed Light

5. Strong Quantum Computational Advantage Using a Superconducting Quantum Processor

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