Monday, May 17, 2021

[DMANET] Special Issue "Data Processing in Quantum Computing" Call For Papers

Special Issue "Data Processing in Quantum Computing" is a special issue of the journal Data (ISSN 2306-5729). This special issue belongs to the section "Information Systems and Data Management". The journal Data is an open access journal published by MDPI. It is indexed in scopus (cite score 2.1) and E-SCI (NOT SCI-E).

Deadline for manuscript submissions
31 December 2021

Detailed information about the special issue
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.

Manuscript Submission Information and other information

Best Wishes,

Jialin Zhang,
Institute of Computing Technology, Chinese Academy of Sciences
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