5 citations · 16 across the 12 of their papers we have counts for
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quant-ph2024★ 3 cited
Sample-based Hamiltonian and Lindbladian simulation: Non-asymptotic analysis of sample complexity
Byeongseon Go, Hyukjoon Kwon, Siheon Park +2
Density matrix exponentiation (DME) is a quantum algorithm that processes multiple copies of a program state to realize the Hamiltonian evolution . Wave matrix Lindb…
quant-ph2024
Natural gradient and parameter estimation for quantum Boltzmann machines
Dhrumil Patel, Mark M. Wilde
Thermal states play a fundamental role in various areas of physics, and they are becoming increasingly important in quantum information science, with applications related to semi-d…
quant-ph2024★ 1 cited
Quantum Boltzmann machine learning of ground-state energies
Dhrumil Patel, Daniel Koch, Saahil Patel +1
Estimating the ground-state energy of Hamiltonians is a fundamental task for which it is believed that quantum computers can be helpful. Several approaches have been proposed towar…