Bandgap optimization in combinatorial graphs with tailored ground states: application in quantum annealing

DOI10.1007/S11081-022-09758-9arXiv2102.00551OpenAlexW3127340187MaRDI QIDQ6050381

Veera Sundararaghavan, Siddhartha Srivastava

Publication date: 18 September 2023

Published in: Optimization and Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2102.00551

zbMATH Keywords

parameter estimationIsing modelPotts modelmixed integer linear programmingBoltzmann machines

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Inference from stochastic processes (62Mxx)

Cites Work

• Training restricted Boltzmann machines: an introduction
• Training Products of Experts by Minimizing Contrastive Divergence
• Estimation of Markov random field prior parameters using Markov chain Monte Carlo maximum likelihood

This page was built for publication: Bandgap optimization in combinatorial graphs with tailored ground states: application in quantum annealing