Exponential optimization of adiabatic quantum-state preparation

The preparation of a given quantum state on a quantum computing register is a typically demanding operation, requiring a number of elementary gates that scales exponentially with the size of the problem. Using the adiabatic theorem for state preparation, whose error decreases exponentially as a function of the preparation time, we derive an explicit analytic expression for the dependence of the characteristic time on the Hamiltonian used in the adiabatic evolution. Exploiting this knowledge, we then design a preconditioning term that modifies the adiabatic preparation, thus reducing its characteristic time and hence giving an exponential advantage in state preparation. We prove the efficiency of our method with extensive numerical experiments on prototypical spin models, which gives a promising strategy to perform quantum simulations of manybody models via Trotter evolution on near-term quantum processors.

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Publication Details

Journal
Physical Review Research
Published
2025-03-19
DOI
https://doi.org/10.1103/physrevresearch.7.l012074
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
2.48

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article

Exponential optimization of adiabatic quantum-state preparation

Dario Gerace, Mattia Bruno, Davide Nigro, Davide Cugini
1 citations
Physical Review Research
Quantum Computing Algorithms and Architecture
2.48
article

Exponential optimization of adiabatic quantum-state preparation

Dario Gerace, Mattia Bruno, Davide Nigro, Davide Cugini
article en
1 citations

Abstract

The preparation of a given quantum state on a quantum computing register is a typically demanding operation, requiring a number of elementary gates that scales exponentially with the size of the problem. Using the adiabatic theorem for state preparation, whose error decreases exponentially as a function of the preparation time, we derive an explicit analytic expression for the dependence of the characteristic time on the Hamiltonian used in the adiabatic evolution. Exploiting this knowledge, we then design a preconditioning term that modifies the adiabatic preparation, thus reducing its characteristic time and hence giving an exponential advantage in state preparation. We prove the efficiency of our method with extensive numerical experiments on prototypical spin models, which gives a promising strategy to perform quantum simulations of manybody models via Trotter evolution on near-term quantum processors.

Physical Review ResearchVol. 7(1)
University of Pavia (IT), University of Milano-Bicocca (IT)
European Commission, Ministero dell'Università e della Ricerca
Openalex Percentile: Top 11%
Quantum Computing Algorithms and Architecture
2.48
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