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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

collaborators

14 papers

math.GM2023★ 1 cited

Uncertainty principles associated with the short time quaternion coupled fractional Fourier transform

Bivek Gupta, Amit K. Verma, Ravi P. Agarwal

In this paper, we extend the coupled fractional Fourier transform of a complex valued functions to that of the quaternion valued functions on and call it the quatern…

math.FA2022

Linear Canonical Stockwell Transform and the associated Multiresolution Analysis

Bivek Gupta, Amit K. Verma

In this article, we give a new definition of the linear canonical Stockwell transform (LCST) and study its basic properties along with the inner product relation, reconstruction fo…

cs.DC2022

Parallel Exploration of Directed Acyclic Graphs using the Actor Model

Rahul Prabhu, Amit Verma, Meera Sitharam

In this paper we describe a generic scheme for the parallel exploration of directed acyclic graphs starting from one or more `roots' of the graph. Our scheme is designed for graphs…

eess.SP2022★ 1 cited

Short time quaternion quadratic phase Fourier transform and its uncertainty principles

Bivek Gupta, Amit K. Verma

In this paper, we extend the quadratic phase Fourier transform of a complex valued functions to that of the quaternion valued functions of two variables. We call it the quaternion…

math.FA2022★ 1 cited

Multidimensional Fractional Wavelet Transforms and Uncertainty Principles

Navneet Kaur, Bivek Gupta, Amit K. Verma

In this paper, we have given a new definition of continuous fractional wavelet transform in , namely the multidimensional fractional wavelet transform (MFrWT) and stu…

math.FA2022

Linear canonical wavelet transform and the associated uncertainty principles

Bivek Gupta, Amit K. Verma, Carlo Cattani

We define a novel time-frequency analyzing tool, namely linear canonical wavelet transform (LCWT) and study some of its important properties like inner product relation, reconstruc…

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…

math.NA2019

A generalized novel approach based on orthonormal polynomial wavelets with an application to Lane-Emden equation

Amit K. Verma, Diksha Tiwari, Carlo Cattani

Capturing solution near the singular point of any nonlinear SBVPs is challenging because coefficients involved in the differential equation blow up near singularities. In this arti…