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Analyzing quadratic unconstrained binary optimization problems via multicommodity flows [PDF]

open access: yesDiscrete Applied Mathematics, 2009
Quadratic Unconstrained Binary Optimization (QUBO) problems concern the minimization of quadratic polynomials in n {0, 1}-valued variables. These problems are NP-complete, but prior work has identified a sequence of polynomial-time computable lower bounds on the minimum value, denoted by C(2), C(3), C(4),….
Robert Kleinberg
exaly   +6 more sources

On the hardness of quadratic unconstrained binary optimization problems [PDF]

open access: yesFrontiers in Physics, 2022
We use exact enumeration to characterize the solutions of quadratic unconstrained binary optimization problems of less than 21 variables in terms of their distributions of Hamming distances to close-by solutions.
V. Mehta   +7 more
doaj   +9 more sources

Goal seeking Quadratic Unconstrained Binary Optimization

open access: yesResults in Control and Optimization, 2022
The Quadratic Unconstrained Binary Optimization (QUBO) modeling and solution framework is a requirement for quantum and digital annealers. However optimality for QUBO problems of any practical size is extremely difficult to achieve.
Amit Verma, Mark Lewis
doaj   +5 more sources

Benchmark of quantum-inspired heuristic solvers for quadratic unconstrained binary optimization [PDF]

open access: yesScientific Reports, 2022
Recently, inspired by quantum annealing, many solvers specialized for unconstrained binary quadratic programming problems have been developed. For further improvement and application of these solvers, it is important to clarify the differences in their ...
Hiroki Oshiyama, Masayuki Ohzeki
doaj   +6 more sources

Quadratic Unconstrained Binary Optimization for the Automotive Paint Shop Problem [PDF]

open access: yesIEEE Access, 2023
The Binary Paint Shop Problem (BPSP) is a combinatorial optimization problem which draws inspiration from the automotive paint shop. Its binary nature, making it a good fit for Quadratic Unconstrained Binary Optimization (QUBO) solvers, has been well ...
Pieter Debevere   +2 more
doaj   +3 more sources

Extremal Optimization for Quadratic Unconstrained Binary Problems [PDF]

open access: yesPhysics Procedia, 2015
AbstractWe present an implementation of τ-EO for quadratic unconstrained binary optimization (QUBO) problems. To this end, we transform modify QUBO from its conventional Boolean presentation into a spin glass with a random external field on each site.
Stefan Boettcher
exaly   +3 more sources

Sampling electronic structure quadratic unconstrained binary optimization problems (QUBOs) with Ocean and Mukai solvers. [PDF]

open access: yesPLoS ONE, 2022
The most advanced D-Wave Advantage quantum annealer has 5000+ qubits, however, every qubit is connected to a small number of neighbors. As such, implementation of a fully-connected graph results in an order of magnitude reduction in qubit count.
Alexander Teplukhin   +4 more
doaj   +2 more sources

Quadratic unconstrained binary optimization problem preprocessing: Theory and empirical analysis [PDF]

open access: yesNetworks, 2017
The Quadratic Unconstrained Binary Optimization problem (QUBO) has become a unifying model for representing a wide range of combinatorial optimization problems, and for linking a variety of disciplines that face these problems. A new class of quantum annealing computer that maps QUBO onto a physical qubit network structure with specific size and edge ...
Fred Glover, Mark Lewis
exaly   +3 more sources

Digital Annealer for quadratic unconstrained binary optimization: A comparative performance analysis

open access: yesApplied Soft Computing Journal, 2022
Digital Annealer (DA) is a computer architecture designed for tackling combinatorial optimization problems formulated as quadratic unconstrained binary optimization (QUBO) models. In this paper, we present the results of an extensive computational study to evaluate the performance of DA in a systematic way in comparison to multiple state-of-the-art ...
Merve Bodur, Oylum Şeker
exaly   +3 more sources

Quadratic unconstrained binary optimization and constraint programming approaches for lattice-based cyclic peptide docking [PDF]

open access: yesScientific Reports
The peptide-protein docking problem is an important problem in structural biology that facilitates rational and efficient drug design. In this work, we explore modeling and solving this problem with the quantum-amenable quadratic unconstrained binary ...
J. Kyle Brubaker   +6 more
doaj   +2 more sources

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