Results 71 to 80 of about 1,190 (203)

Ising Machine Approach to the Lecturer–Student Assignment Problem

IEEE Access
Ising 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, Tatsuhiko Shirai, Nozomu Togawa   +2 more
doaj   +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

Dual-Matrix Domain-Wall: A Novel Technique for Generating Permutations by QUBO and Ising Models with Quadratic Sizes [PDF]

, 2023
Koji Nakano, Shunsuke Tsukiyama, Yasuaki Ito, Takashi Yazane, Junko Yano, Takumi Kato, Shiro Ozaki, Rie Mori, Ryota Katsuki   +8 more
openalex   +1 more source

Machine‐learning‐assisted photonic device development: a multiscale approach from theory to characterization

Nanophotonics, Volume 14, Issue 23, Page 3761-3793, 02 November 2025.
Abstract Photonic device development (PDD) has achieved remarkable success in designing and implementing new devices for controlling light across various wavelengths, scales, and applications, including telecommunications, imaging, sensing, and quantum information processing.
Yuheng Chen, Alexander Montes McNeil, Taehyuk Park, Blake A. Wilson, Vaishnavi Iyer, Michael Bezick, Jae‐Ik Choi, Rohan Ojha, Pravin Mahendran, Daksh Kumar Singh, Geetika Chitturi, Peigang Chen, Trang Do, Alexander V. Kildishev, Vladimir M. Shalaev, Michael Moebius, Wenshan Cai, Yongmin Liu, Alexandra Boltasseva   +18 more
wiley   +1 more source

Leveraging Quantum Annealing for Layout Optimization

Advanced Quantum Technologies, Volume 8, Issue 11, November 2025.
The authors address wind farm layout optimization by formulating it as a QUBO problem using the Jensen wake model. They compare quantum annealing, Gurobi, and QAOA, highlighting trade‐offs between solution quality and computational time. Results show that quantum annealing offers rapid, near‐optimal solutions, making it suitable for fast approximations
Luca Nigro, Simone Sala, Alfonso Amendola, Enrico Prati   +3 more
wiley   +1 more source

HPC: A Computational Benchmark of Classical, Parallel, and Hybrid Metaheuristics for QUBO-Based Suspension Geometry Optimization

Machines
The calibration of suspension geometry involves highly nonlinear kinematic relationships and leads to challenging optimization landscapes that are difficult to explore efficiently with classical local methods. Quadratic Unconstrained Binary Optimization (
Muhammad Waqas Arshad, Stefano Lodi, Omair Ashraf, Muhammad Haseeb Rasool, Syed Rizwan Hassan   +4 more
doaj   +1 more source

Quantum isomer search.

PLoS ONE, 2020
Isomer search or molecule enumeration refers to the problem of finding all the isomers for a given molecule. Many classical search methods have been developed in order to tackle this problem.
Jason P Terry, Prosper D Akrobotu, Christian F A Negre, Susan M Mniszewski   +3 more
doaj   +1 more source

Open‐source AI at scale: Establishing an enterprise AI strategy through modular frameworks

AI Magazine, Volume 46, Issue 3, Fall 2025.
Abstract We present a comprehensive enterprise AI strategy developed within the AI Center of Excellence at Fidelity Investments, emphasizing the strategic integration of open‐source AI frameworks into scalable, modular, and reproducible enterprise‐grade solutions.
Serdar Kadıoğlu
wiley   +1 more source

RinQ: Towards predicting central sites in proteins on current quantum computers

Materials Today Quantum
We 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
doaj   +1 more source

Quantum computer based feature selection in machine learning

IET Quantum Communication
The problem of selecting an appropriate number of features in supervised learning problems is investigated. Starting with common methods in machine learning, the feature selection task is treated as a quadratic unconstrained optimisation problem (QUBO ...
Gerhard Hellstern, Vanessa Dehn, Martin Zaefferer   +2 more
doaj   +1 more source