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SYEC: Symposium Entanglement and Complexity – How “Complex” is Nature?

SYEC 1: Entanglement and Complexity – How “Complex” is Nature?

SYEC 1.3: Invited Talk

Thursday, September 11, 2025, 11:45–12:15, ZHG010

The theory of learnability of local Hamiltonians from Gibbs states — •Anurag Anshu — Harvard University, Cambridge, MA

Learning the Hamiltonian underlying a quantum many-body system in thermal equilibrium is a fundamental task in quantum learning theory and experimental sciences. This talk will provide a general overview of the recent learning algorithms for this problem, and highlight how the progress comes hand-in-hand with new insights into the entanglement structure of quantum Gibbs states. We will explore interesting open questions in this direction, in particular the goal of devising algorithms that are easy to implement in experiments.

Keywords: Quantum many-body physics; Quantum machine learning; Quantum computing; Quantum algorithms