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Quantum Computing: Latest Advances and Prospects
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School of Information Science and Technology, Southwest Jiaotong University, Chengdu 611756, China
Prof. Dr. Ming Li
School of Science, China University of Petroleum, Qingdao 266580, China
Dr. Xue Yang
School of Information Science and Technology, Southwest Jiaotong University, Chengdu 611756, China
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Quantum Computing: Latest Advances and Prospects

Abstract submission deadline
31 January 2027
Manuscript submission deadline
31 March 2027
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3998

Topic Information

Dear Colleagues,

The field of quantum computing is rapidly transitioning from fundamental research to practical applications, standing at the forefront of technological innovation. This Topic seeks to collect the latest breakthroughs and forward-looking perspectives on quantum hardware, algorithms, and real-world applications. We welcome submissions covering advances in quantum processors (e.g., superconducting and trapped-ion), quantum error correction and fault-tolerant schemes, novel quantum algorithms (e.g., for simulation and optimization), and explorations of quantum advantage. Contributions that address the integration of classical systems and roadmap analyses for scalable quantum computing are also highly encouraged.

Prof. Dr. Mingxing Luo
Prof. Dr. Ming Li
Dr. Xue Yang
Topic Editors

Keywords

  • quantum computing
  • qubits (superconducting, trapped-ion, photonic, etc.)
  • quantum processor
  • quantum hardware
  • quantum supremacy/advantage
  • quantum algorithms
  • quantum error correction
  • quantum error mitigation
  • NISQ era
  • fault-tolerant quantum computing
  • quantum volume
  • quantum simulation
  • quantum machine learning
  • quantum cryptography
  • quantum networking

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
applsci 		2.5 5.5 2011 16 Days CHF 2400 Submit
Electronics
electronics 		2.6 6.1 2012 16.4 Days CHF 2400 Submit
Entropy
entropy 		2.0 5.2 1999 21.5 Days CHF 2600 Submit
Mathematics
mathematics 		2.2 4.6 2013 17.3 Days CHF 2600 Submit
Quantum Reports
quantumrep 		1.3 3.0 2019 19.8 Days CHF 1400 Submit

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Published Papers (2 papers)

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11 pages, 571 KB  
Article
Verifying Quantum Network Nonlocality Based on the Extended Mermin Inequality
by Xinyue Li, Yan-Han Yang and Ming-Xing Luo
Quantum Rep. 2026, 8(2), 41; https://doi.org/10.3390/quantum8020041 - 1 May 2026
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Abstract
This work proposes an extended Mermin inequality based on a hybrid classical model that involves only one classical source, with the remaining sources being post-quantum. In a chain-structured quantum network consisting of hybrid Einstein–Podolsky–Rosen (EPR) pairs and Greenberger–Horne–Zeilinger (GHZ) states, joint measurements are [...] Read more.
This work proposes an extended Mermin inequality based on a hybrid classical model that involves only one classical source, with the remaining sources being post-quantum. In a chain-structured quantum network consisting of hybrid Einstein–Podolsky–Rosen (EPR) pairs and Greenberger–Horne–Zeilinger (GHZ) states, joint measurements are performed at the central node, while local measurements are conducted at the peripheral nodes. This setup shows that the obtained quantum correlations can violate the proposed inequality with fewer measurement settings, thereby verifying network nonlocality. Furthermore, we extend this method to chain networks of arbitrary length n and show that the proposed inequality remains effective in verifying network nonlocality. Full article
(This article belongs to the Topic Quantum Computing: Latest Advances and Prospects)
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149 pages, 2314 KB  
Review
A Technical Review of Quantum Computing Use Cases for Finance and Economics
by Manqoba Q. Hlatshwayo, Manav Babel, Dalila Islas-Sanchez and Konstantinos Georgopoulos
Quantum Rep. 2026, 8(1), 26; https://doi.org/10.3390/quantum8010026 - 17 Mar 2026
Viewed by 3402
Abstract
Quantum computing has been rapidly evolving as a field, with innovations driven by industry, academia, and government institutions. The technology has the potential to accelerate computation for solving complex problems across multiple industrial sectors. Finance and economics, with many problems exhibiting computationally heavy [...] Read more.
Quantum computing has been rapidly evolving as a field, with innovations driven by industry, academia, and government institutions. The technology has the potential to accelerate computation for solving complex problems across multiple industrial sectors. Finance and economics, with many problems exhibiting computationally heavy requirements, comprise a high-profile sector where quantum computing could have a significant impact. Therefore, it is important to identify and understand to what extent the technology could find utility in the sector. This technical review is written for quantum applications researchers, quantitative analysts in finance and economics, and researchers in related mathematical sciences. It is divided into two parts: (i) a survey of quantum algorithms pertinent to problems in finance and economics, and (ii) mapping of several use cases in the sector to the potential quantum algorithms presented in part (i). We discuss some challenges on the pathway to achieving quantum advantage. Ultimately, this review aims to be a catalyst for interdisciplinary research that will accelerate the advent of the practical advantages of quantum technologies to solve complex problems in this sector. Full article
(This article belongs to the Topic Quantum Computing: Latest Advances and Prospects)
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