2 papers
quant-ph2026
Disorder-blind Mpemba acceleration of quantum state preparation
M Nishanth, Shreyas Sadugol, Payman Mahmoudi +4
Using the strong Mpemba effect to accelerate relaxation by initial-state design requires suppressing the slowest mode, which typically needs prior knowledge of the system. However,…
cs.LG2026
Hamiltonian Metric Learning and Energy-Based Training: A Dissipative Geometric Framework for Optimization
Sparsho Chakraborty, Mohammad Alamgir, Nishanth M +3
Optimization in machine learning is usually expressed through iterative rules that update model parameters using information from the loss landscape. In this work, we study an alte…