Testing and Learning Structured Quantum Hamiltonians

We consider the problems of testing and learning an n-qubit Hamiltonian $$H=\sum _x \lambda _x \sigma _x$$ expressed in its Pauli basis, from queries to its evolution operator $$U=e^{-iHt}$$ . To this end, we prove the following results. In order to prove these results, we prove new structural theorems for local Hamiltonians, sparse Pauli channels and sparse Hamiltonians. We complement our learning algorithms with lower bounds that are polynomially weaker. Furthermore, our algorithms use short time evolutions and do not assume prior knowledge of the terms on which the Pauli spectrum is supported on, i.e., we do not require prior knowledge of the support of the Hamiltonian.

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Publication Details

Journal
Communications in Mathematical Physics
Published
2025-12-08
DOI
https://doi.org/10.1007/s00220-025-05517-w
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

Testing and Learning Structured Quantum Hamiltonians

Arkopal Dutt, Srinivasan Arunachalam, Francisco Escudero
Communications in Mathematical Physics
Quantum Computing Algorithms and Architecture
article

Testing and Learning Structured Quantum Hamiltonians

Arkopal Dutt, Srinivasan Arunachalam, Francisco Escudero
article en

Abstract

We consider the problems of testing and learning an n-qubit Hamiltonian $$H=\sum _x \lambda _x \sigma _x$$ expressed in its Pauli basis, from queries to its evolution operator $$U=e^{-iHt}$$ . To this end, we prove the following results. In order to prove these results, we prove new structural theorems for local Hamiltonians, sparse Pauli channels and sparse Hamiltonians. We complement our learning algorithms with lower bounds that are polynomially weaker. Furthermore, our algorithms use short time evolutions and do not assume prior knowledge of the terms on which the Pauli spectrum is supported on, i.e., we do not require prior knowledge of the support of the Hamiltonian.

Communications in Mathematical PhysicsVol. 407(1)
IBM Research - Almaden (US), QuSoft (NL)
Openalex Percentile: Top 79%
Quantum Computing Algorithms and Architecture
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