Results 51 to 60 of about 2,386 (159)

A Quantum Framework for Protein Binding‐Site Structure Prediction on Utility‐Level Quantum Processors

Advanced Science, Volume 13, Issue 12, 27 February 2026.
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang, Yuxin Yang, William Martin, Kingsten Lin, Zixu Wang, Cheng‐Chang Lu, Weiwen Jiang, Ruth Nussinov, Joseph Loscalzo, Qiang Guan, Feixiong Cheng   +10 more
wiley   +1 more source

Mapping Quantum Computing Techniques for NP‐Hard Problems in Operations Management and Operations Research

Engineering Reports, Volume 8, Issue 2, February 2026.
Quantum computing techniques such as Quantum Annealing and Quadratic Unconstrained Binary Optimization are effectively solving NP‐hard problems in operations management and research, particularly in logistics, manufacturing, and finance. This study maps these applications to present a framework for future adoption across industries. ABSTRACT This study
Daniel Bouzon Nagem Assad, Patricia Gomes Ferreira da Costa, Thaís Spiegel, Hélcio de Oliveira Rocha   +3 more
wiley   +1 more source

Enhancing Distributed State Estimation of Power Grid With a Simplified Quantum Algorithm

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper presents the application of the Harrow‐Hassidim‐Lloyd (HHL) algorithm and its simplified quantum circuit to distributed state estimation in power grids. The results show that the proposed approach successfully tackles distributed state estimation in a power grid, underscoring its potential as a practical quantum computing solution for this ...
Shyh‐Jier Huang, Po‐Wei Yang, Shen‐Kun Yen, Yong‐Tai Li   +3 more
wiley   +1 more source

Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices

Physical Review X, 2020
The quantum approximate optimization algorithm (QAOA) is a hybrid quantum-classical variational algorithm designed to tackle combinatorial optimization problems.
Leo Zhou, Sheng-Tao Wang, Soonwon Choi, Hannes Pichler, Mikhail D. Lukin   +4 more
doaj   +1 more source

Improving the performance of quantum approximate optimization for preparing non-trivial quantum states without translational symmetry

New Journal of Physics, 2023
The variational preparation of complex quantum states using the quantum approximate optimization algorithm (QAOA) is of fundamental interest, and becomes a promising application of quantum computers.
Zheng-Hang Sun, Yong-Yi Wang, Jian Cui, Heng Fan   +3 more
doaj   +1 more source

Quantum approximate optimization for hard problems in linear algebra

SciPost Physics Core, 2021
The quantum approximate optimization algorithm (QAOA) by Farhi et al. is a quantum computational framework for solving quantum or classical optimization tasks.
Ajinkya Borle, Vincent E. Elfving, Samuel J. Lomonaco
doaj   +1 more source

A Structured Lifecycle Model for Quantum Software Engineering: Bridging Technical Challenges and Future Directions

IET Software, Volume 2026, Issue 1, 2026.
Quantum computing is one of the research areas progressing rapidly toward practical deployment, yet the engineering of scalable and reliable quantum software remains underdeveloped. Current quantum software engineering (QSE) practices are largely tools‐driven and ad hoc that providing limited support for managing probabilistic execution, hybrid quantum–
Hessa Alfraihi, Islam Zada, Mahmoud Ahmed, Sara Shahzad, Siwar Rekik, Abdullah Alshahrani, Nguyen Phi, Zahid Akhtar   +7 more
wiley   +1 more source

Study on Quantum Approximation Optimization Algorithm in Airport Cargo Transportation Problem

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
The vehicle routing problem (VRP) is a core NP‐hard combinatorial optimization problem in logistics and supply chain management. Quantum computing, particularly the Quantum Approximate Optimization Algorithm (QAOA), is being explored as a promising heuristic tool for tackling such problems.
Xudong Zhao, Jianping Chen, Lan Liu, Leilei Kang, Vincent F. Yu   +4 more
wiley   +1 more source

Quantum approximate optimization via learning-based adaptive optimization

Communications Physics
Combinatorial optimization problems are ubiquitous and computationally hard to solve in general. Quantum approximate optimization algorithm (QAOA), one of the most representative quantum-classical hybrid algorithms, is designed to solve combinatorial ...
Lixue Cheng, Yu-Qin Chen, Shi-Xin Zhang, Shengyu Zhang   +3 more
doaj   +1 more source

Enhancing Quantum Approximate Optimization Algorithm Through Manifold Optimization

Quantum Engineering, Volume 2026, Issue 1, 2026.
We propose the models of Riemannian manifold optimization techniques to enhance the performance of the quantum approximate optimization algorithm (QAOA) for combinatorial optimization problems on near‐term quantum devices. The approach leverages the intrinsic geometric structure of the problem domain, addressing the nonconvexity of the QAOA objective ...
Qingqing Yu, Yinhui Yu, Rong Jin, Srijoni Sengupta   +3 more
wiley   +1 more source