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Efficient criteria of quantumness for a large system of qubits

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posted on 2023-03-09, 14:48 authored by Shohei Watabe, Michael Zach Serikow, Shiro Kawabata, Alexandre ZagoskinAlexandre Zagoskin
In order to model and evaluate large-scale quantum systems, e.g., quantum computer and quantum annealer, it is necessary to quantify the “quantumness” of such systems. In this paper, we discuss the dimensionless combinations of basic parameters of large, partially quantum coherent systems, which could be used to characterize their degree of quantumness. Based on analytical and numerical calculations, we suggest one such number for a system of qubits undergoing adiabatic evolution, i.e., the accessibility index. Applying it to the case of D-Wave One superconducting quantum annealing device, we find that its operation as described falls well within the quantum domain.

Funding

New Energy and Industrial Technology Development Organization (NEDO), Japan

Nanotech CUPAL, National Institute of Advanced Industrial Science and Technology (AIST)

NDIAS Residential Fellowship

Highly sensitive detection of single microwave photons with coherent quantum network of superconducting qubits for searching galactic axions

European Commission

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History

School

  • Science

Department

  • Physics

Published in

Frontiers in Physics

Volume

9

Publisher

Frontiers Media

Version

  • VoR (Version of Record)

Rights holder

© Watabe, Serikow, Kawabata and Zagoskin

Publisher statement

This is an Open-Access article published by Frontiers Media and distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. See https://creativecommons.org/licenses/by/4.0/

Acceptance date

2021-11-22

Publication date

2022-01-05

Copyright date

2022

eISSN

2296-424X

Language

  • en

Depositor

Dr Alexandre Zagoskin. Deposit date: 7 March 2023

Article number

773128

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