activity
20202026
most citedTraining and Classification using a Restricted Boltzmann Machine on the D-Wave 2000Q

51 citations · 91 across the 4 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Towards Natural Gas Contract Selection via Quantum-Guided Independent Set Reduction

Vivek Dixit, Vaibhaw Kumar, Kentaro Ohno +2

Selecting mutually compatible natural gas transportation contracts is a practically important optimization task in which operators must choose from many candidate agreements subjec…

quant-ph2026

A Quantum Approach to Stochastic Optimization in Insurance Underwriting

Mitchell Bordelon, Maurice Garfinkel, Vivek Dixit +7

The presence of stochastic elements in combinatorial optimization problems makes them particularly challenging, as such problems quickly become intractable for classical computers…

quant-ph2021

Prime Factorization Using Quantum Variational Imaginary Time Evolution

Raja Selvarajan, Vivek Dixit, Xingshan Cui +2

The road to computing on quantum devices has been accelerated by the promises that come from using Shor's algorithm to reduce the complexity of prime factorization. However, this p…

quant-ph2020★ 40 cited

Training a quantum annealing based restricted Boltzmann machine on cybersecurity data

Vivek Dixit, Raja Selvarajan, Tamer Aldwairi +5

We present a real-world application that uses a quantum computer. Specifically, we train a RBM using QA for cybersecurity applications. The D-Wave 2000Q has been used to implement…

cs.LG2020★ 51 cited

Training and Classification using a Restricted Boltzmann Machine on the D-Wave 2000Q

Vivek Dixit, Raja Selvarajan, Muhammad A. Alam +2

Restricted Boltzmann Machine (RBM) is an energy based, undirected graphical model. It is commonly used for unsupervised and supervised machine learning. Typically, RBM is trained u…