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Vinit Singh
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Quantum machine learning for chemistry and physics
M Sajjan, J Li, R Selvarajan, SH Sureshbabu, SS Kale, R Gupta, V Singh, ...
Chemical Society Reviews 51 (15), 6475-6573, 2022
1122022
Application of machine learning to two-dimensional Dzyaloshinskii-Moriya ferromagnets
VK Singh, JH Han
Physical Review B 99 (17), 174426, 2019
312019
Imaginary components of out-of-time-order correlator and information scrambling for navigating the learning landscape of a quantum machine learning model
M Sajjan, V Singh, R Selvarajan, S Kais
Physical Review Research 5 (1), 013146, 2023
182023
Physics-Inspired Quantum Simulation of Resonating Valence Bond States─ A Prototypical Template for a Spin-Liquid Ground State
M Sajjan, R Gupta, SS Kale, V Singh, K Kumaran, S Kais
The Journal of Physical Chemistry A 127 (41), 8751-8764, 2023
32023
Polynomially efficient quantum enabled variational Monte Carlo for training neural-network quantum states for physico-chemical applications
M Sajjan, V Singh, S Kais
arXiv preprint arXiv:2412.12398, 2024
2024
Sampling based quantum training of arbitrary spin-graphs
M Sajjan, V Singh, S Kais
APS March Meeting Abstracts 2024, N49. 009, 2024
2024
Demystifying a generative Quantum Machine Learning model using Information scrambling and Imaginary components of out-of-time correlators.
M Sajjan, V Singh, S Kais
APS March Meeting Abstracts 2023, K73. 012, 2023
2023
Statistical recovery of the classical spin Hamiltonian
VK Singh, JH Han
arXiv preprint arXiv:1807.04884, 2018
2018
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Articles 1–8