3 papers
quant-ph2025
Maximal Entropy Formalism and the Restricted Boltzmann Machine
Vinit Singh, Rishabh Gupta, Manas Sajjan +3
The connection between the Maximum Entropy (MaxEnt) formalism and Restricted Boltzmann Machines (RBMs) is natural, as both give rise to a Boltzmann-like distribution with constrain…
quant-ph2025
Unlocking the power of global quantum gates with machine learning
Vinit Singh, Bin Yan
In conventional circuit-based quantum computing architectures, the standard gate set includes arbitrary single-qubit rotations and two-qubit entangling gates. This choice is not al…
quant-ph2024
Polynomially efficient quantum enabled variational Monte Carlo for training neural-network quantum states for physico-chemical applications
Manas Sajjan, Vinit Singh, Sabre Kais
Neural-network quantum states (NQS) offer a versatile and expressive alternative to traditional variational ansätze for simulating physical systems. Energy-based frameworks, like H…