Grover Adaptive Search for Constrained Polynomial Binary Optimization [PDF]
Quantum, 2021 In this paper we discuss Grover Adaptive Search (GAS) for Constrained Polynomial Binary Optimization (CPBO) problems, and in particular, Quadratic Unconstrained Binary Optimization (QUBO) problems, as a special case.
Austin Gilliam +2 more
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Performance Comparison of Typical Binary-Integer Encodings in an Ising Machine
IEEE Access, 2021 The differences in performance among binary-integer encodings in an Ising machine, which can solve combinatorial optimization problems, are investigated.
Kensuke Tamura +4 more
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HUBO formulations for solving the eigenvalue problem
Results in Control and Optimization, 2023 Solving the eigenvalue problem is particularly important in almost all fields of science and engineering. With the development of quantum computers, multiple algorithms have been proposed for this purpose.
Kyungtaek Jun, Hyunju Lee
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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 +3 more
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Parity Quantum Optimization: Compiler [PDF]
Quantum, 2023 We introduce parity quantum optimization with the aim of solving optimization problems consisting of arbitrary $k$-body interactions and side conditions using planar quantum chip architectures.
Kilian Ender +4 more
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Rydberg-atom graphs for quadratic unconstrained binary optimization problems [PDF]
, 2023 There is a growing interest in harnessing the potential of the Rydberg-atom system to address complex combinatorial optimization challenges. Here we present an experimental demonstration of how the quadratic unconstrained binary optimization (QUBO ...
Byun, Andrew +6 more
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Application of QUBO solver using black-box optimization to structural design for resonance avoidance
Scientific Reports, 2022 Quadratic unconstrained binary optimization (QUBO) solvers can be applied to design an optimal structure to avoid resonance. QUBO algorithms that work on a classical or quantum device have succeeded in some industrial applications.
Tadayoshi Matsumori +2 more
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Experimental study on the information disclosure problem: Branch-and-bound and QUBO solver
Frontiers in Applied Mathematics and Statistics, 2023 The aim of this study was to explore the information disclosure (ID) problem, which involves selecting pairs of two sides before matching toward user-oriented optimization. This problem is known to be useful for mobility-on-demand (MoD) platforms because
Keisuke Otaki +2 more
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QUBO.jl: A Julia Ecosystem for Quadratic Unconstrained Binary Optimization [PDF]
, 2023 We present QUBO.jl, an end-to-end Julia package for working with QUBO (Quadratic Unconstrained Binary Optimization) instances. This tool aims to convert a broad range of JuMP problems for straightforward application in many physics and physics-inspired ...
Andrade, Tiago +5 more
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Solving Standard and Generalized EMPM Eigenvalue Problems: A QUBO Approach for the D-Wave Quantum Annealer [PDF]
EPJ Web of ConferencesWithin 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. +8 more
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