Recent Advances in Quantum Optimization

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".

Deadline for manuscript submissions: 28 February 2026 | Viewed by 22

Special Issue Editors


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Guest Editor
Department of Financial Mathematics, Fraunhofer Institute for Industrial Mathematics ITWM, 67663 Kaiserslautern, Germany
Interests: optimization; multiobjective optimization; quantum computing; quantum optimization; financial mathematics

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Guest Editor
Departamento de Lenguajes y Ciencias de la Computación, University of Málaga, 29071 Málaga, Spain
Interests: computer science; SBSE; combinatorial optimization problems

Special Issue Information

Dear Colleagues,

Quantum computing has rapidly emerged as one of the most exciting frontiers in modern science and technology, drawing attention across disciplines for its potential—especially in computationally demanding areas like optimization. Optimization problems lie at the heart of countless real-world applications, from logistics and finance to machine learning and energy systems with a constant need for more performant solution strategies. As pointed out in the seminal work “Challenges and opportunities in quantum optimization” by Abbas et al., quantum computing promises to offer a paradigm shift by potentially solving or approximating solutions to hard optimization problems more efficiently than classical counterparts. However, this new field of quantum optimization requires significant efforts in research towards a quantum advantage.

I am pleased to invite you to contribute to this Special Issue that provides a platform for original research that fills research gaps in quantum optimization. Specifically, the scope of this Special Issue covers the development of innovative quantum algorithms that tackle optimization problems, preferably problems stemming from application areas with more complex structures, uncertain data, or multiple objectives. Research areas may include (but are not limited to) the following: quantum optimization algorithms on gate-based quantum computers, hybrid algorithms using quantum annealing, quantum multiobjective optimization algorithms, quantum robust optimization algorithms, and the benchmarking of quantum optimization algorithms.

We look forward to receiving your contributions.

Dr. Pascal Halffmann
Dr. Francisco Chicano
Guest Editors

Manuscript Submission Information

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Keywords

  • quantum optimization
  • optimization
  • operations research
  • quantum computing

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Published Papers

This special issue is now open for submission.
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