Efficient QUBO transformation for Higher Degree Pseudo Boolean Functions

no code implementations • 24 Jul 2021 • Amit Verma, Mark Lewis, Gary Kochenberger

Quadratic Unconstrained Binary Optimization (QUBO) is recognized as a unifying framework for modeling a wide range of problems.

QUBO transformation using Eigenvalue Decomposition

no code implementations • 19 Jun 2021 • 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.

Combinatorial Optimization

Predicting 3D RNA Folding Patterns via Quadratic Binary Optimization

no code implementations • 14 Jun 2021 • Mark W. Lewis, Amit Verma, Rick Hennig

The structure of an RNA molecule plays a significant role in its biological function.

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

no code implementations • 4 Apr 2021 • 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 required format for gate array and quantum annealing computers.

Combinatorial Optimization

Goal Seeking Quadratic Unconstrained Binary Optimization

no code implementations • 24 Mar 2021 • Amit Verma, Mark Lewis

The Quadratic Unconstrained Binary Optimization (QUBO) modeling and solution framework is a requirement for quantum and digital annealers.

Decision Making