Active Learning of Quantum System Hamiltonians yields Query Advantage

no code implementations • 29 Dec 2021 • Arkopal Dutt, Edwin Pednault, Chai Wah Wu, Sarah Sheldon, John Smolin, Lev Bishop, Isaac L. Chuang

Hamiltonian learning is an important procedure in quantum system identification, calibration, and successful operation of quantum computers.

Active Learning

Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics

1 code implementation • 2 Apr 2021 • Arkopal Dutt, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra

We observe that for samples coming from a dynamical process far from equilibrium, the sample complexity reduces exponentially compared to a dynamical process that mixes quickly.