2 citations · 2 across the 2 of their papers we have counts for
3 papers
quant-ph2021★ 2 cited
Continuous-variable neural-network quantum states and the quantum rotor model
James Stokes, Saibal De, Shravan Veerapaneni +1
We initiate the study of neural-network quantum state algorithms for analyzing continuous-variable lattice quantum systems in first quantization. A simple family of continuous-vari…
cs.DC2021
Overcoming barriers to scalability in variational quantum Monte Carlo
Tianchen Zhao, Saibal De, Brian Chen +2
The variational quantum Monte Carlo (VQMC) method received significant attention in the recent past because of its ability to overcome the curse of dimensionality inherent in many-…
stat.ML2020
Efficient MCMC Sampling for Bayesian Matrix Factorization by Breaking Posterior Symmetries
Saibal De, Hadi Salehi, Alex Gorodetsky
Bayesian low-rank matrix factorization techniques have become an essential tool for relational data analysis and matrix completion. A standard approach is to assign zero-mean Gauss…