Results 31 to 40 of about 1,548 (65)
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 +4 more
wiley +1 more source
Quantum annealing for systems of polynomial equations
, 2019 Numerous scientific and engineering applications require numerically solving systems of equations. Classically solving a general set of polynomial equations requires iterative solvers, while linear equations may be solved either by direct matrix ...
Chang, Chia Cheng +3 more
core +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 +3 more
wiley +1 more source
Nonnegative/binary matrix factorization with a D-Wave quantum annealer
, 2017 D-Wave quantum annealers represent a novel computational architecture and have attracted significant interest, but have been used for few real-world computations. Machine learning has been identified as an area where quantum annealing may be useful. Here,
Alexandrov, Boian S. +3 more
core +2 more sources
Dynamic programming in economics on a quantum annealer
Quantitative Economics, Volume 17, Issue 1, Page 1-37, January 2026.We introduce novel algorithms for solving dynamic programming problems in economics on a quantum annealer, a specialized quantum computer used for combinatorial optimization. Quantum annealers begin in a superposition of all states and generate candidate global solutions in milliseconds, regardless of problem size.
Jesús Fernández‐Villaverde +1 more
wiley +1 more source
Schedule path optimization for quantum annealing and adiabatic quantum computing
, 2016 Adiabatic quantum computing and optimization have garnered much attention recently as possible models for achieving a quantum advantage over classical approaches to optimization and other special purpose computations. Both techniques are probabilistic in
Sarovar, Mohan, Zeng, Lishan, Zhang, Jun
core +1 more source
Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning
Advanced Quantum Technologies, Volume 8, Issue 12, December 2025.The use of QML in the realm of nuclear physics at low energy is almost nonexistent. Three examples of the use of quantum computing and quantum machine in nuclear physics are presented: the determination of the phase/shape in nuclear models, the calculation of the ground state energy, and the identification of particles in nuclear physics experiments ...
José‐Enrique García‐Ramos +4 more
wiley +1 more source
Quantum‐Enhanced Simulated Annealing Using Rydberg Atoms
Advanced Quantum Technologies, Volume 8, Issue 12, December 2025.This study experimentally demonstrates that a Rydberg hybrid quantum‐classical algorithm, termed as quantum‐enhanced simulated annealing (QESA), provides a computational time advantage over a classical standalone simulated annealing (SA). This scatter plot represents the comparison of QESA versus SA for the 924 graphs with the sizes N=60$N=60$, 80 and ...
Seokho Jeong, Juyoung Park, Jaewook Ahn
wiley +1 more source
Application of Quantum Annealing to Nurse Scheduling Problem
, 2019 Quantum annealing is a promising heuristic method to solve combinatorial optimization problems, and efforts to quantify performance on real-world problems provide insights into how this approach may be best used in practice.
Humble, Travis S. +2 more
core
Towards Solving the Navier-Stokes Equation on Quantum Computers [PDF]
, 2019 In this paper, we explore the suitability of upcoming novel computing technologies, in particular adiabatic annealing based quantum computers, to solve fluid dynamics problems that form a critical component of several science and engineering applications.
Banerjee, Tirtha +3 more
core +1 more source