3 citations · 11 across the 9 of their papers we have counts for
10 papers
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…
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…
Predicting 3D RNA Folding Patterns via Quadratic Binary Optimization
Mark W. Lewis, Amit Verma, Rick Hennig
The structure of an RNA molecule plays a significant role in its biological function. Predicting structure given a one dimensional sequence of RNA nucleotide bases is a difficult a…
Variable Reduction For Quadratic Unconstrained Binary Optimization
Amit Verma, Mark Lewis
Quadratic Unconstrained Binary Optimization models are useful for solving a diverse range of optimization problems. Constraints can be added by incorporating quadratic penalty term…
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…
Goal Seeking Quadratic Unconstrained Binary Optimization
Amit Verma, Mark Lewis
The Quadratic Unconstrained Binary Optimization (QUBO) modeling and solution framework is a requirement for quantum and digital annealers. However optimality for QUBO problems of a…