Results 81 to 90 of about 3,222 (193)
Abstract Having previously studied general aspects of QUBO models, we now study application specific examples and how to derive or set them up. Our application examples will consider problems in areas like combinatorial optimization, constraint satisfaction, data mining, and machine learning and are supposed to illustrate that QUBOs ...
Christian Bauckhage, Rafet Sifa
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Clustering-Based Sub-QUBO Extraction for Hybrid QUBO Solvers
Quantum Approximate Optimization Algorithm (QAOA) can be used to solve quadratic unconstrained binary optimization (QUBO) problems. However, the size of the solvable problem is limited by the number of qubits. To leverage noisy intermediate-scale quantum (NISQ) devices to solve large-scale QUBO problems, one possible way is to decompose the full ...
Zhao, Wending, Tang, Gaoxiang
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Quantum Machine Learning Applications to Medical Images: A Survey
IET Quantum Communication, Volume 7, Issue 1, January/December 2026.In this review paper, we provide an outline of quantum neural networks (QNNs), quantum convolution neural networks (QCNNs) and various hybrid models. We also explore human brain‐inspired quantum neuromorphic computing by the quantum spiking neural networks (QSNN).
Mahua Nandy Pal +2 more
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Ising Machine Approach to the Lecturer–Student Assignment Problem
IEEE AccessIsing machines are efficient solvers for combinatorial optimization problems (COPs). After mapping COPs to Quadratic Unconstrained Binary Optimization (QUBO) problems, Ising machines search for the lowest energy solution of the QUBO corresponding to the ...
Sora Tomita +2 more
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Software Defect Prediction With Quantum‐Inspired Feature Selection
Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.Accurate software defect prediction is crucial for reducing maintenance costs and improving system reliability. Effective feature selection ensures that models focus on the most informative metrics while avoiding overfitting and excessive complexity. We introduce a quantum‐inspired evolutionary algorithm (QIEA) that encodes candidate feature subsets ...
Mohammad Salah Uddin +1 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 +4 more
wiley +1 more source
QUBO Formulation of the Pickup and Delivery Problem with Time Windows for Quantum Annealing
Applied SciencesThis paper addresses the Pickup and Delivery Problem with Time Windows (PDPTW), an NP-hard combinatorial optimization problem with major practical relevance in logistics and transportation.
Cosmin Ștefan Curuliuc, Florin Leon
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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
Machine Learning: Science and TechnologyQuadratic unconstrained binary optimization (QUBO) is at the heart of many industries and academic fields such as logistics, supply chain, finance, pharmaceutical science, chemistry, IT, and energy sectors, among others (Bangert 2012 Optimization for ...
Chia-Tso Lai +3 more
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RinQ: Towards predicting central sites in proteins on current quantum computers
Materials Today QuantumWe introduce RinQ, a hybrid quantum–classical framework for identifying functionally critical residues in proteins by formulating centrality detection as a Quadratic Unconstrained Binary Optimization (QUBO) problem.
Shah Ishmam Mohtashim
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