Results 51 to 60 of about 1,190 (203)

Qubit‐Efficient Quantum Local Search for Combinatorial Optimization

Advanced Quantum Technologies, Volume 9, Issue 3, March 2026.
We introduce a qubit‐efficient variational quantum algorithm for combinatorial optimization that adaptively uses from logarithmic to a linear number of qubits to implement quantum local search. The method encodes flip probabilities of spin groups into quantum amplitudes, enabling exploration of classically intractable neighborhoods while maintaining ...
Mikhail Podobrii, Viacheslav Kuzmin, Vladimir Voloshinov, Margarita Veshchezerova, Michael R. Perelshtein   +4 more
wiley   +1 more source

Penalty Weights in QUBO Formulations: Permutation Problems

, 2022
Optimisation algorithms designed to work on quantum computers or other specialised hardware have been of research interest in recent years. Many of these solver can only optimise problems that are in binary and quadratic form. Quadratic Unconstrained Binary Optimisation (QUBO) is therefore a common formulation used by these solvers.
openaire   +2 more sources

Solving Standard and Generalized EMPM Eigenvalue Problems: A QUBO Approach for the D-Wave Quantum Annealer [PDF]

EPJ Web of Conferences
Within the Equation of Motion Phonon Method (EMPM) framework, we address the computation of the ground-state eigenpair of nuclear Hamiltonians by reformulating the eigenvalue problem as a Quadratic Unconstrained Binary Optimization (QUBO).
De Gregorio G., De Lucia C., Martone A., D’Aniello F.A., Mastroianni A., Nunziata G., Knapp F., Iudice N. Lo, Veselý P.   +8 more
doaj   +1 more source

Addressing ecological challenges from a quantum computing perspective

Methods in Ecology and Evolution, Volume 17, Issue 3, Page 632-649, March 2026.
Abstract With increased access to data and the advent of computers, the use of statistical tools and numerical simulations is becoming commonplace for ecologists. These approaches help improve our understanding of ecological phenomena and their underlying mechanisms in increasingly complex environments.
Maxime Clenet, Maxime Dion, F. Guillaume Blanchet   +2 more
wiley   +1 more source

Exploiting Hardware and Software Advances for Quadratic Models of Wind Farm Layout Optimization

IEEE Access, 2022
A key aspect of the design of a wind farm is the wind farm layout optimization (WFLO) problem: given a wind farm site and information about the wind patterns, the problem is to decide the location of individual wind turbines to maximize energy production
Arik Senderovich, Jiachen Zhang, Eldan Cohen, J. Christopher Beck   +3 more
doaj   +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

Machine Learning‐Driven Cooling Window Design Beyond Hyperbolic Metamaterials

Nanophotonics, Volume 15, Issue 4, 24 February 2026.
Machine learning‐driven inverse design enables ultrathin metal/dielectric cooling‐window coatings that outperform analytical hyperbolic metamaterials under identical material and thickness constraints. Optimized aperiodic multilayers simultaneously enhance visible transparency, near‐infrared rejection, and color tunability, demonstrating a practical ...
Seok‐Beom Seo, Ye‐Rin Choi, Jong‐Goog Lee, Gumin Kang, Hyungduk Ko, Run Hu, Sun‐Kyung Kim   +6 more
wiley   +1 more source

QUBOs

Abstract In previous chapters, we already came across an instance of a quadratic unconstrained binary optimization problem or QUBO for short. In this chapter, we will now widen our perspective on QUBOs as our major plot line in this book is that any QUBO can be solved by running a Hopfield net and that any problem that can be solved ...
Christian Bauckhage, Rafet Sifa
openaire   +1 more source

Solving workflow scheduling problems with QUBO modeling [PDF]

, 2022
A. I. Pakhomchik, S. Yudin, Michael Perelshtein, A. Alekseyenko, Sheir Yarkoni   +4 more
openalex   +1 more source

A Quadratic Unconstrained Binary Optimization (QUBO) Model for Elevation‐Aware Vehicle Routing: Optimizing Fuel Consumption and Traffic Congestion

Advanced Quantum Technologies, Volume 9, Issue 2, February 2026.
This study proposes an elevation‐aware QUBO model that optimizes multi‐vehicle routes by jointly reducing fuel consumption and traffic congestion. By integrating gradient‐corrected Dijkstra routing with quantum annealing, the method achieves substantial fuel‐saving effects in hilly regions such as San Francisco and significantly decreases route overlap,
Tsubasa Suzuki, Takao Tomono
wiley   +1 more source