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Quantum Measurement and Control in Quantum Machine Learning

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Quantum Information".

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 3586

Special Issue Editors


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Guest Editor
Centre for Engineered Quantum Systems, University of Queensland, St Lucia, QLD 4072, Australia
Interests: quantum optics; quantum information; mesoscopic transport; nonlinear dynamics; ion-traps; atomic Bose—Einstein condensation; optomechanics; superconducting quantum circuits https://equs.org/users/dr-sally-shrapnel

E-Mail Website
Guest Editor
Centre for Engineered Quantum Systems, University of Queensland, St Lucia, QLD 4072, Australia
Interests: machine learning; causal relations; quantum foundations

Special Issue Information

Dear Colleagues,

Machine learning and optimum stochastic control share similar objectives: to modify the dynamics of a complex stochastic dynamical system using measurement mediated feedback, to minimize the cost function of the output. Quantum control is now a mature subject and includes, in addition to the analogue of classical measurement-based control, a number of uniquely quantum protocols based on coherent control. Noise will be significant and occur even at a temperature of zero. This is a feature that distinguishes classical from quantum machine learning. In this Special Issue, we request papers addressing the role of measurement/coherent quantum control for quantum machine learning. Topics will include:

  • Noisy intermediate scale quantum (NISQ) learning machines using quantum control for training.
  • Quantum thermodynamics (decoherence, entropy, free energy, irreversibility) in quantum machine learning.
  • Generalizations of the classical fluctuation theorems (e.g. Jaryznski equality) for open quantum systems subject to measurement, and their role in machine learning.
  • Coherent control schemes for quantum machine learning.
  • The role of quantum information in quantum machine learning (entanglement, decoherence, error correction, etc.)
  • Coherent Ising machines and similar models.
  • Quantum machine learning as large scale dissipative many-body systems.

Design protocols for dissipative quantum machine learning (e.g. SLH, QHDL).

Prof. Dr. Gerard Milburn
Dr. Sally Shrapnel
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • quantum control
  • machine learning
  • NISQ
  • decoherence
  • stochastic
  • fluctuations
  • Coherent Ising machines
  • SLH

Published Papers (1 paper)

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Research

26 pages, 1468 KiB  
Article
Entanglement and Photon Anti-Bunching in Coupled Non-Degenerate Parametric Oscillators
by Yoshitaka Inui and Yoshihisa Yamamoto
Entropy 2021, 23(5), 624; https://doi.org/10.3390/e23050624 - 17 May 2021
Cited by 4 | Viewed by 2978
Abstract
We analytically and numerically show that the Hillery-Zubairy’s entanglement criterion is satisfied both below and above the threshold of coupled non-degenerate optical parametric oscillators (NOPOs) with strong nonlinear gain saturation and dissipative linear coupling. We investigated two cases: for large pump mode dissipation, [...] Read more.
We analytically and numerically show that the Hillery-Zubairy’s entanglement criterion is satisfied both below and above the threshold of coupled non-degenerate optical parametric oscillators (NOPOs) with strong nonlinear gain saturation and dissipative linear coupling. We investigated two cases: for large pump mode dissipation, below-threshold entanglement is possible only when the parametric interaction has an enough detuning among the signal, idler, and pump photon modes. On the other hand, for a large dissipative coupling, below-threshold entanglement is possible even when there is no detuning in the parametric interaction. In both cases, a non-Gaussian state entanglement criterion is satisfied even at the threshold. Recent progress in nano-photonic devices might make it possible to experimentally demonstrate this phase transition in a coherent XY machine with quantum correlations. Full article
(This article belongs to the Special Issue Quantum Measurement and Control in Quantum Machine Learning)
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