Literature DB >> 33273064

Quantum computational advantage using photons.

Han-Sen Zhong1,2, Hui Wang1,2, Yu-Hao Deng1,2, Ming-Cheng Chen1,2, Li-Chao Peng1,2, Yi-Han Luo1,2, Jian Qin1,2, Dian Wu1,2, Xing Ding1,2, Yi Hu1,2, Peng Hu3, Xiao-Yan Yang3, Wei-Jun Zhang3, Hao Li3, Yuxuan Li4, Xiao Jiang1,2, Lin Gan4, Guangwen Yang4, Lixing You3, Zhen Wang3, Li Li1,2, Nai-Le Liu1,2, Chao-Yang Lu1,2, Jian-Wei Pan5,2.   

Abstract

Quantum computers promises to perform certain tasks that are believed to be intractable to classical computers. Boson sampling is such a task and is considered as a strong candidate to demonstrate the quantum computational advantage. We perform Gaussian boson sampling by sending 50 indistinguishable single-mode squeezed states into a 100-mode ultralow-loss interferometer with full connectivity and random matrix-the whole optical setup is phase-locked-and sampling the output using 100 high-efficiency single-photon detectors. The obtained samples are validated against plausible hypotheses exploiting thermal states, distinguishable photons, and uniform distribution. The photonic quantum computer generates up to 76 output photon clicks, which yields an output state-space dimension of 1030 and a sampling rate that is ~1014 faster than using the state-of-the-art simulation strategy and supercomputers.
Copyright © 2020, American Association for the Advancement of Science.

Year:  2020        PMID: 33273064     DOI: 10.1126/science.abe8770

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  37 in total

1.  Photonic chip brings optical quantum computers a step closer.

Authors:  Ulrik L Andersen
Journal:  Nature       Date:  2021-03       Impact factor: 49.962

2.  Physicists in China challenge Google's 'quantum advantage'.

Authors:  Philip Ball
Journal:  Nature       Date:  2020-12       Impact factor: 49.962

3.  The path toward quantum advantage in optical spectroscopy of materials.

Authors:  Ajay Ram Srimath Kandada; Giulio Cerullo
Journal:  Proc Natl Acad Sci U S A       Date:  2021-09-07       Impact factor: 11.205

Review 4.  Practical quantum advantage in quantum simulation.

Authors:  Andrew J Daley; Immanuel Bloch; Christian Kokail; Stuart Flannigan; Natalie Pearson; Matthias Troyer; Peter Zoller
Journal:  Nature       Date:  2022-07-27       Impact factor: 69.504

5.  Materials for emergent silicon-integrated optical computing.

Authors:  Alexander A Demkov; Chandrajit Bajaj; John G Ekerdt; Chris J Palmstrøm; S J Ben Yoo
Journal:  J Appl Phys       Date:  2021-08-19       Impact factor: 2.877

6.  Loops simplify a set-up to boost quantum computational advantage.

Authors:  Daniel Jost Brod
Journal:  Nature       Date:  2022-06       Impact factor: 69.504

7.  Quantum phases of matter on a 256-atom programmable quantum simulator.

Authors:  Sepehr Ebadi; Tout T Wang; Harry Levine; Alexander Keesling; Giulia Semeghini; Ahmed Omran; Dolev Bluvstein; Rhine Samajdar; Hannes Pichler; Wen Wei Ho; Soonwon Choi; Subir Sachdev; Markus Greiner; Vladan Vuletić; Mikhail D Lukin
Journal:  Nature       Date:  2021-07-07       Impact factor: 49.962

8.  Dynamical Localization Simulated on Actual Quantum Hardware.

Authors:  Andrea Pizzamiglio; Su Yeon Chang; Maria Bondani; Simone Montangero; Dario Gerace; Giuliano Benenti
Journal:  Entropy (Basel)       Date:  2021-05-23       Impact factor: 2.524

9.  Coherent optical processes with an all-optical atomic simulator.

Authors:  Ivan A Burenkov; Irina Novikova; Olga V Tikhonova; Sergey V Polyakov
Journal:  Opt Express       Date:  2021-01-04       Impact factor: 3.894

Review 10.  A Molecular Approach to Quantum Sensing.

Authors:  Chung-Jui Yu; Stephen von Kugelgen; Daniel W Laorenza; Danna E Freedman
Journal:  ACS Cent Sci       Date:  2021-04-20       Impact factor: 14.553

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