Computer-Inspired Concept for High-Dimensional Multipartite Quantum Gates

Xiaoqin Gao, Manuel Erhard, Anton Zeilinger, and Mario Krenn
Phys. Rev. Lett. 125, 050501 – Published 27 July 2020
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Abstract

An open question in quantum optics is how to manipulate and control complex quantum states in an experimentally feasible way. Here we present concepts for transformations of high-dimensional multiphotonic quantum systems. The proposals rely on two new ideas: (i) a novel high-dimensional quantum nondemolition measurement, (ii) the encoding and decoding of the entire quantum transformation in an ancillary state for sharing the necessary quantum information between the involved parties. Many solutions can readily be performed in laboratories around the world and thereby we identify important pathways for experimental research in the near future. The concepts have been found using the computer algorithm melvin for designing computer-inspired quantum experiments. As opposed to the field of machine learning, here the human learns new scientific concepts by interpreting and analyzing the results presented by the machine. This demonstrates that computer algorithms can inspire new ideas in science, which has a widely unexplored potential that goes far beyond experimental quantum information science.

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  • Received 4 November 2019
  • Revised 26 March 2020
  • Accepted 22 June 2020

DOI:https://doi.org/10.1103/PhysRevLett.125.050501

© 2020 American Physical Society

Physics Subject Headings (PhySH)

Atomic, Molecular & OpticalQuantum Information, Science & Technology

Authors & Affiliations

Xiaoqin Gao1,2,3, Manuel Erhard1,2, Anton Zeilinger1,2, and Mario Krenn1,2,4,5,*

  • 1Faculty of Physics, University of Vienna, Vienna, 1190, Austria
  • 2Institute for Quantum Optics and Quantum Information (IQOQI) Vienna, Austrian Academy of Sciences, Vienna, 1190, Austria
  • 3National Mobile Communications Research Laboratory and Quantum Information Research Center, Southeast University, Nanjing, 210096, China
  • 4Department of Chemistry and Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada
  • 5Vector Institute for Artificial Intelligence, Toronto, Ontario M5G 1M1, Canada

  • *Corresponding author. mario.krenn@univie.ac.at

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Issue

Vol. 125, Iss. 5 — 31 July 2020

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