Results 51 to 60 of about 429 (149)

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

Investigating quantum approximate optimization algorithms under bang-bang protocols

Physical Review Research, 2020
The quantum approximate optimization algorithm (QAOA) is widely seen as a possible usage of noisy intermediate-scale quantum (NISQ) devices. We analyze the algorithm as a bang-bang protocol with fixed total time and a randomized greedy optimization ...
Daniel Liang, Li Li (李力), Stefan Leichenauer   +2 more
doaj   +1 more source

Quantum dropout: On and over the hardness of quantum approximate optimization algorithm

Physical Review Research, 2023
A combinatorial optimization problem becomes very difficult in situations where the energy landscape is rugged, and the global minimum locates in a narrow region of the configuration space. When using the quantum approximate optimization algorithm (QAOA)
Zhenduo Wang (王朕铎), Pei-Lin Zheng, Biao Wu (吴飙), Yi Zhang   +3 more
doaj   +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‐Enhanced Distributed Fiber‐Optic Sensing: Current State and Future Perspectives

Quantum Engineering, Volume 2026, Issue 1, 2026.
The integration of quantum science with optical fiber technology is redefining the limits of precision measurement and distributed sensing. This review provides a comprehensive overview of recent advances in quantum‐enhanced fiber‐optic sensing, focusing on how quantum light sources, quantum materials, and quantum algorithms are converging to improve ...
Clement Afagwu, Hayden Gemeinhardt, Jyotsna Sharma, Yu-Bo Sheng   +3 more
wiley   +1 more source

Performance of parity QAOA for the signed Max-Cut problem

New Journal of Physics
The practical implementation of quantum optimization algorithms on noisy intermediate-scale quantum devices requires accounting for their limited connectivity. As such, the Parity architecture was introduced to overcome this limitation by encoding binary
Anita Weidinger, Glen Bigan Mbeng, Michael Fellner, Davit Khachatryan, Wolfgang Lechner   +4 more
doaj   +1 more source

A Complex-Valued Continuous-Variable Quantum Approximation Optimization Algorithm (CCV-QAOA)

Continuous-variable (CV) quantum systems offer a natural framework for continuous optimization through their infinite-dimensional Hilbert spaces. In this paper, we propose the Complex Continuous-Variable Quantum Approximate Optimization Algorithm (CCV-QAOA), a variational framework operating in the complex domain that optimizes over complex decision ...
Madani, Raneem, Lisser, Abdel, Toffano, Zeno   +2 more
openaire   +2 more sources

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

Limitations of quantum approximate optimization in solving generic higher-order constraint-satisfaction problems

Physical Review Research
The ability of the quantum approximate optimization algorithm (QAOA) to deliver a quantum advantage on combinatorial optimization problems is still unclear. Recently, a scaling advantage over a classical solver was postulated to exist for random 8-SAT at
Thorge Müller, Ajainderpal Singh, Frank K. Wilhelm, Tim Bode   +3 more
doaj   +1 more source

On the Use of the Quantum Alternating Operator Ansatz in Quantum-Informed Recursive Optimization: A Case Study on the Minimum Vertex Cover

AppliedMath
In recent years, several quantum algorithms have been proposed for addressing combinatorial optimization problems. Among them, the Quantum Approximate Optimization Algorithm (QAOA) has become a widely used approach.
Pablo Ramos-Ruiz, Antonio Miguel Fuentes-Jiménez, José E. Ramos-Ruiz, Inmaculada Jiménez-Manchado   +3 more
doaj   +1 more source