7 citations · 7 across the 4 of their papers we have counts for
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Learning quantum Hamiltonians at any temperature in polynomial time
Ainesh Bakshi, Allen Liu, Ankur Moitra +1
We study the problem of learning a local quantum Hamiltonian given copies of its Gibbs state at a known inverse temperature . Anshu,…
Structure learning of Hamiltonians from real-time evolution
Ainesh Bakshi, Allen Liu, Ankur Moitra +1
We study the problem of Hamiltonian structure learning from real-time evolution: given the ability to apply for an unknown local Hamiltonian $H = \sum_{a = 1}^…
A Dobrushin condition for quantum Markov chains: Rapid mixing and conditional mutual information at high temperature
Ainesh Bakshi, Allen Liu, Ankur Moitra +1
A central challenge in quantum physics is to understand the structural properties of many-body systems, both in equilibrium and out of equilibrium. For classical systems, we have a…
High-Temperature Gibbs States are Unentangled and Efficiently Preparable
Ainesh Bakshi, Allen Liu, Ankur Moitra +1
We show that thermal states of local Hamiltonians are separable above a constant temperature. Specifically, for a local Hamiltonian on a graph with degree , its G…