3 papers
quant-ph2026
Learning the structure of open quantum systems
Laura Lewis, Ewin Tang, John Wright
We design an algorithm for learning the coefficients of an -qubit constant-local Lindbladian to error with total evolution time,…
quant-ph2026
Quantum advantage for learning shallow neural networks with natural data distributions
Laura Lewis, Dar Gilboa, Jarrod R. McClean
Without large quantum computers to empirically evaluate performance, theoretical frameworks such as the quantum statistical query (QSQ) are a primary tool to study quantum algorith…
quant-ph2024
Predicting adaptively chosen observables in quantum systems
Jerry Huang, Laura Lewis, Hsin-Yuan Huang +1
Recent advances have demonstrated that measurements suffice to predict properties of arbitrarily large quantum many-body systems. However, these remarkabl…