Noise Robustness and Experimental Demonstration of a Quantum Generative Adversarial Network for Continuous Distributions-Reference-Cited by-同舟云学术

Noise Robustness and Experimental Demonstration of a Quantum Generative Adversarial Network for Continuous Distributions

Published:2021-04 Issue:5 Volume:4 Page:2000069
ISSN:2511-9044
Container-title:Advanced Quantum Technologies
language:en
Short-container-title:Adv Quantum Tech

Author:

Anand Abhinav¹,Romero Jonathan²,Degroote Matthias¹³^ORCID,Aspuru‐Guzik Alán¹³⁴⁵^ORCID

Affiliation:

1. Chemical Physics Theory Group Department of Chemistry University of Toronto 80 St, George Street Toronto Ontario M5S 3H6 Canada

2. Zapata Computing Inc. 100 Federal St, 20th Floor Boston MA 02110 USA

3. Department of Computer Science University of Toronto 40 St. George Street Toronto Ontario M5S 2E4 Canada

4. CIFAR AI chair Vector Institute 661 University Ave. Suite 710 Toronto Ontario M5G 1M1 Canada

5. Canadian Institute for Advanced Research (CIFAR) Lebovic Fellow 661 University Ave Toronto Ontario M5G 1M1 Canada

Funder

Lawrence Berkeley National Laboratory

Office of Naval Research

Canada Excellence Research Chairs, Government of Canada

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computational Theory and Mathematics,Condensed Matter Physics,Mathematical Physics,Nuclear and High Energy Physics,Electronic, Optical and Magnetic Materials,Statistical and Nonlinear Physics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qute.202000069

Reference52 articles.

1. Characterizing quantum supremacy in near-term devices

2. S.Aaronson L.Chen arXiv:1612.05903 2016.

3. Quantum machine learning

4. Quantum Computing in the NISQ era and beyond

5. Hybrid quantum-classical hierarchy for mitigation of decoherence and determination of excited states

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