no code implementations • 17 May 2024 • Srinivasan Arunachalam, Arkopal Dutt, Francisco Escudero Gutiérrez, Carlos Palazuelos
We consider the problem of learning low-degree quantum objects up to $\varepsilon$-error in $\ell_2$-distance.
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.
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.