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Simple algorithms to test and learn local Hamiltonians

9 April 2024
Francisco Escudero Gutiérrez
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Abstract

We consider the problems of testing and learning an nnn-qubit kkk-local Hamiltonian from queries to its evolution operator with respect the 2-norm of the Pauli spectrum, or equivalently, the normalized Frobenius norm. For testing whether a Hamiltonian is ϵ1\epsilon_1ϵ1​-close to kkk-local or ϵ2\epsilon_2ϵ2​-far from kkk-local, we show that O(1/(ϵ2−ϵ1)8)O(1/(\epsilon_2-\epsilon_1)^{8})O(1/(ϵ2​−ϵ1​)8) queries suffice. This solves two questions posed in a recent work by Bluhm, Caro and Oufkir. For learning up to error ϵ\epsilonϵ, we show that exp⁡(O(k2+klog⁡(1/ϵ)))\exp(O(k^2+k\log(1/\epsilon)))exp(O(k2+klog(1/ϵ))) queries suffice. Our proofs are simple, concise and based on Pauli-analytic techniques.

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