Quantum Computing and Scientific Computing
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".
Deadline for manuscript submissions: 31 May 2024 | Viewed by 253
Special Issue Editor
Special Issue Information
Dear Colleagues,
The recent development of quantum algorithms has significantly pushed forward the frontier of using quantum computers for solving a wide range of scientific computing problems even in the NISQ era. This Special Issue aims at publishing original scientific articles devoted to advances in quantum computing algorithms for scientific computing. These advances include solving numerical linear algebra tasks, e.g, solving linear systems, eigenvalue decomposition, singular value decomposition; solving large-scale continuous/discrete optimization problems; and solving certain high dimensional linear and nonlinear differential equations. This Special Issue of/Mathematics/welcomes academic and industrial research on quantum computing.
Dr. Xiu Yang
Guest Editor
Manuscript Submission Information
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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. Mathematics is an international peer-reviewed open access semimonthly 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 algorithms for numerical linear algebra
- quantum algorithms for optimization
- quantum algorithms for solving ordinary/partial/fractional differential equations
- quantum algorithms for scientific machine learning
- quantum algorithms for simulating complex systems in scientific or engineering problems
- uncertainty quantification in quantum scientific computing algorithms
- quantum simulators for quantum scientific computing
