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Topical Collection "Quantum Information"

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A topical collection in Entropy (ISSN 1099-4300). This collection belongs to the section "Quantum Information".

Editor

Collection Editor
Prof. Dr. Jay Lawrence

The James Franck Institite, University of Chicago, Chicago, IL 60637, USA; and Department of Physics and Astronomy, Dartmouth College, Hanover, NH 03755, USA
Website | E-Mail
Interests: condensed matter and many-body theory; quantum information and quantum foundations; entanglement, measurement and decoherence

Topical Collection Information

Dear Colleagues,

Entropy is eager to launch a special collection on quantum information, which will build on the success of the recent Special Issue on this topic. We expect that the journal will provide a niche for investigators working at the interface of quantum information with other subjects in which information and entropy are of particular interest. Such subjects are found within broader disciplines ranging from biology, through quantum chemistry and many-body physics, to general relativity. In addition to the many fascinating ways in which quantum coherence and quantum entanglement are manifested in material systems, there are also compelling foundational issues involving the relationships among quantum mechanics, information, thermodynamics, statistical mechanics, relativity, and space-time itself. What principles are primary, and what is derived? Does one have a choice? What are the most interesting open questions?

Prof. Dr. Jay Lawrence
Collection Editor

Manuscript Submission Information

Manuscripts for the topical collection can 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. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on this website. The topical collection considers regular research articles, short communications and review articles. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs).


Published Papers (2 papers)

2016

Open AccessArticle Boltzmann Sampling by Degenerate Optical Parametric Oscillator Network for Structure-Based Virtual Screening
Entropy 2016, 18(10), 365; doi:10.3390/e18100365
Received: 3 September 2016 / Revised: 10 October 2016 / Accepted: 11 October 2016 / Published: 13 October 2016
PDF Full-text (984 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
A structure-based lead optimization procedure is an essential step to finding appropriate ligand molecules binding to a target protein structure in order to identify drug candidates. This procedure takes a known structure of a protein-ligand complex as input, and structurally similar compounds with
[...] Read more.
A structure-based lead optimization procedure is an essential step to finding appropriate ligand molecules binding to a target protein structure in order to identify drug candidates. This procedure takes a known structure of a protein-ligand complex as input, and structurally similar compounds with the query ligand are designed in consideration with all possible combinations of atomic species. This task is, however, computationally hard since such combinatorial optimization problems belong to the non-deterministic nonpolynomial-time hard (NP-hard) class. In this paper, we propose the structure-based lead generation and optimization procedures by a degenerate optical parametric oscillator (DOPO) network. Results of numerical simulation demonstrate that the DOPO network efficiently identifies a set of appropriate ligand molecules according to the Boltzmann sampling law. Full article
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Open AccessArticle Metric for Estimating Congruity between Quantum Images
Entropy 2016, 18(10), 360; doi:10.3390/e18100360
Received: 20 July 2016 / Revised: 29 September 2016 / Accepted: 29 September 2016 / Published: 9 October 2016
PDF Full-text (3548 KB) | HTML Full-text | XML Full-text
Abstract
An enhanced quantum-based image fidelity metric, the QIFM metric, is proposed as a tool to assess the “congruity” between two or more quantum images. The often confounding contrariety that distinguishes between classical and quantum information processing makes the widely accepted peak-signal-to-noise-ratio (PSNR) ill-suited
[...] Read more.
An enhanced quantum-based image fidelity metric, the QIFM metric, is proposed as a tool to assess the “congruity” between two or more quantum images. The often confounding contrariety that distinguishes between classical and quantum information processing makes the widely accepted peak-signal-to-noise-ratio (PSNR) ill-suited for use in the quantum computing framework, whereas the prohibitive cost of the probability-based similarity score makes it imprudent for use as an effective image quality metric. Unlike the aforementioned image quality measures, the proposed QIFM metric is calibrated as a pixel difference-based image quality measure that is sensitive to the intricacies inherent to quantum image processing (QIP). As proposed, the QIFM is configured with in-built non-destructive measurement units that preserve the coherence necessary for quantum computation. This design moderates the cost of executing the QIFM in order to estimate congruity between two or more quantum images. A statistical analysis also shows that our proposed QIFM metric has a better correlation with digital expectation of likeness between images than other available quantum image quality measures. Therefore, the QIFM offers a competent substitute for the PSNR as an image quality measure in the quantum computing framework thereby providing a tool to effectively assess fidelity between images in quantum watermarking, quantum movie aggregation and other applications in QIP. Full article
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