3 papers
quant-ph2026
Entanglement-Dependent Error Bounds for Hamiltonian Simulation
Prateek P. Kulkarni
We establish tight connections between entanglement entropy and the approximation error in Trotter-Suzuki product formulas for Hamiltonian simulation. Product formulas remain the w…
cs.LG2025
Bhargava Cube--Inspired Quadratic Regularization for Structured Neural Embeddings
S Sairam, Prateek P Kulkarni
We present a novel approach to neural representation learning that incorporates algebraic constraints inspired by Bhargava cubes from number theory. Traditional deep learning metho…
quant-ph2025
A theoretical treatment of optical metasurfaces as an efficient basis for quantum correlations
Ramaseshan R, Prateek P. Kulkarni, Sharanya Madhusudhan +1
Entanglement is a cornerstone of quantum technology, playing a key role in quantum computing, cryptography, and information processing. Conventional methods for generating entangle…