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Quantum bridge analytics I: a tutorial on formulating and using QUBO models
Abstract Quantum Bridge Analytics relates generally to methods and systems for hybrid
classical-quantum computing, and more particularly is devoted to develo** tools for …
classical-quantum computing, and more particularly is devoted to develo** tools for …
Quantum Bridge Analytics I: a tutorial on formulating and using QUBO models
Abstract Quantum Bridge Analytics relates generally to methods and systems for hybrid
classical-quantum computing, and more particularly is devoted to develo** tools for …
classical-quantum computing, and more particularly is devoted to develo** tools for …
Penalty and partitioning techniques to improve performance of QUBO solvers
Abstract Quadratic Unconstrained Binary Optimization (QUBO) modeling has become a
unifying framework for solving a wide variety of both unconstrained as well as constrained …
unifying framework for solving a wide variety of both unconstrained as well as constrained …
Exact and sequential penalty weights in quadratic unconstrained binary optimisation with a digital annealer
Quadratic unconstrained binary optimisation (QUBO) problems is a general class of
combinatorial optimisation problems, which regained popularity after recent advances in …
combinatorial optimisation problems, which regained popularity after recent advances in …
Characterization of QUBO reformulations for the maximum k-colorable subgraph problem
Quantum devices can be used to solve constrained combinatorial optimization (COPT)
problems thanks to the use of penalization methods to embed the COPT problem's …
problems thanks to the use of penalization methods to embed the COPT problem's …
[PDF][PDF] Characterizing and benchmarking QUBO reformulations of the knapsack problem
Constrained combinatorial optimization problems can be reformulated as a quadratic binary
unconstrained optimization (QUBO) problems using reformulation and constraint …
unconstrained optimization (QUBO) problems using reformulation and constraint …
New advances for quantum‐inspired optimization
Advances in quantum computing with applications in combinatorial optimization have
evolved at an increasing rate in recent years. The quadratic unconstrained binary …
evolved at an increasing rate in recent years. The quadratic unconstrained binary …
Efficient qubo transformation for higher degree pseudo boolean functions
Quadratic Unconstrained Binary Optimization (QUBO) is recognized as a unifying framework
for modeling a wide range of problems. Problems can be solved with commercial solvers …
for modeling a wide range of problems. Problems can be solved with commercial solvers …
[HTML][HTML] Solving unconstrained binary polynomial programs with limited reach: Application to low autocorrelation binary sequences
Abstract Unconstrained Binary Polynomial Programs (UBPs) are a class of optimization
problems relevant in a broad array of fields. In this paper, we examine an example from …
problems relevant in a broad array of fields. In this paper, we examine an example from …
Recursive McCormick Linearization of Multilinear Programs
Linear programming (LP) relaxations are widely employed in exact solution methods for
multilinear programs (MLPs). These relaxations can be obtained by using recursive …
multilinear programs (MLPs). These relaxations can be obtained by using recursive …