most citedQuadratic Unconstrained Binary Optimization Problem Preprocessing: Theory and Empirical Analysis

3 citations

5 papers

math.OC20212 cited

Efficient QUBO transformation for Higher Degree Pseudo Boolean Functions

Amit Verma, Mark Lewis, Gary Kochenberger

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 custo…

math.OC20211 cited

QUBO transformation using Eigenvalue Decomposition

Amit Verma, Mark Lewis

Quadratic Unconstrained Binary Optimization (QUBO) is a general-purpose modeling framework for combinatorial optimization problems and is a requirement for quantum annealers. This…

cs.AI20211 cited

Constraint Programming to Discover One-Flip Local Optima of Quadratic Unconstrained Binary Optimization Problems

Amit Verma, Mark Lewis

The broad applicability of Quadratic Unconstrained Binary Optimization (QUBO) constitutes a general-purpose modeling framework for combinatorial optimization problems and are a req…

cs.AI2017

Robust Optimization of Unconstrained Binary Quadratic Problems

Mark Lewis, Gary Kochenberger, John Metcalfe

In this paper we focus on the unconstrained binary quadratic optimization model, maximize x^t Qx, x binary, and consider the problem of identifying optimal solutions that are robus…

cs.AI20173 cited

Quadratic Unconstrained Binary Optimization Problem Preprocessing: Theory and Empirical Analysis

Mark Lewis, Fred Glover

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 v…