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20242026
most citedStructure learning of Hamiltonians from real-time evolution

7 citations · 7 across the 6 of their papers we have counts for

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quant-ph2026

Sharp Bounds on the Eigenvalues of Kikuchi Graphs and Applications to Quantum Max Cut

Ainesh Bakshi, Arpon Basu, Pravesh Kothari +1

We prove that the maximum eigenvalue of the (both signed and unsigned) Laplacian of level Kikuchi graph of any graph with edges is at most . This confirms four rec…

quant-ph2026

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,…

quant-ph20267 cited

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}^…

quant-ph2026

Rapid mixing for high-temperature Gibbs states with arbitrary external fields

Ainesh Bakshi, Xinyu Tan

Gibbs states are a natural model of quantum matter at thermal equilibrium. We investigate the role of external fields in shaping the entanglement structure and computational comple…

quant-ph2026

Entanglement in quantum spin chains is strictly finite at any temperature

Ainesh Bakshi, Soonwon Choi, Saúl Pilatowsky-Cameo

Entanglement is the hallmark of quantum physics, yet its characterization in interacting many-body systems at thermal equilibrium remains one of the most important challenges in qu…

quant-ph2025

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…