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20192023
most citedVariable Reduction For Quadratic Unconstrained Binary Optimization

3 citations · 11 across the 14 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CY2021

An examination of skill requirements for Augmented Reality and Virtual Reality job advertisements

Amit Verma, Pratibha Purohit, Timothy Thornton +1

The field of Augmented Reality (AR) and Virtual Reality (VR) has seen massive growth in recent years. Numerous degree programs have started to redesign their curricula to meet the…

math.OC2021★ 2 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.OC2021★ 1 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…

q-bio.BM2021★ 1 cited

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…

math.OC2021★ 3 cited

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…

cs.AI2021★ 1 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.AI2021

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…