Data Processing in Quantum Computing

A special issue of Data (ISSN 2306-5729). This special issue belongs to the section "Information Systems and Data Management".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 10878

Special Issue Editors

School of Computer Science and Technology, Tianjin University, Tianjin 300072, China
Interests: big data analysis; biomedical data analysis; biomedical data management; pattern recognition; knowledge discovery
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Guest Editor
Institute of Computing Technology, Chinese Academy of Science, Beijing 100190, China
Interests: submodular maximization; quantum computing; approximation algorithm; algorithmic game theory; combinatorial optimization; online algorithm

Special Issue Information

Dear colleagues,

In recent years, with the technological development of experimental quantum physics, many countries have made great effort to develop quantum computers. The number of bits that quantum computers can achieve has risen rapidly from a few to nearly a hundred. Thus, theoretical research on quantum computing has become particularly urgent. Quantum computing is an emerging cross-discipline that has developed in recent years. Using the basic principles of quantum mechanics, such as coherence, entanglement, unclonability, and uncertainty of quantum states, quantum computing has demonstrated capabilities that are different from classical computing. Some computing tasks have already demonstrated computing power that far exceeds classical computing and can achieve polynomial time acceleration or even exponential time acceleration. In this Special Issue, we aim to provide deep insights into the data processing in quantum computing.

We expect manuscripts that can discuss data processing topics related to quantum computing. All results related to quantum computing and data processing are welcome. Papers must contain original contributions and must not be currently under review by a conference or a journal.

Topics of interest include but are not limited to:

  • Data processing in quantum algorithms;
  • Data processing in quantum circuits;
  • Data processing in quantum information;
  • Data processing in simulation of quantum systems;
  • Data processing in quantum error correction.

Dr. Pufeng Du
Prof. Dr. Jialin Zhang
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. Data 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 1600 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.

Published Papers (1 paper)

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Review

16 pages, 2438 KiB  
Review
Artificial Intelligence Computing at the Quantum Level
by Olawale Ayoade, Pablo Rivas and Javier Orduz
Data 2022, 7(3), 28; https://0-doi-org.brum.beds.ac.uk/10.3390/data7030028 - 25 Feb 2022
Cited by 11 | Viewed by 9774
Abstract
The extraordinary advance in quantum computation leads us to believe that, in the not-too-distant future, quantum systems will surpass classical systems. Moreover, the field’s rapid growth has resulted in the development of many critical tools, including programmable machines (quantum computers) that execute quantum [...] Read more.
The extraordinary advance in quantum computation leads us to believe that, in the not-too-distant future, quantum systems will surpass classical systems. Moreover, the field’s rapid growth has resulted in the development of many critical tools, including programmable machines (quantum computers) that execute quantum algorithms and the burgeoning field of quantum machine learning, which investigates the possibility of faster computation than traditional machine learning. In this paper, we provide a thorough examination of quantum computing from the perspective of a physicist. The purpose is to give laypeople and scientists a broad but in-depth understanding of the area. We also recommend charts that summarize the field’s diversions to put the whole field into context. Full article
(This article belongs to the Special Issue Data Processing in Quantum Computing)
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