Efficient preparation of the AKLT State with Measurement-based Imaginary Time Evolution

Quantum state preparation plays a crucial role in several areas of quantum information science, in applications such as quantum simulation, quantum metrology and quantum computing. However, typically state preparation requires resources that scale exponentially with the problem size, due to their probabilistic nature or otherwise, making studying such models challenging. In this article, we propose a method to prepare the ground state of the Affleck-Lieb-Kennedy-Tasaki (AKLT) model deterministically using a measurement-based imaginary time evolution (MITE) approach. By taking advantage of the special properties of the AKLT state, we show that it can be prepared efficiently using the MITE approach. Estimates based on the convergence of a sequence of local projections, as well as direct evolution of the MITE algorithm suggest a constant scaling with respect to the number of AKLT sites, which is an exponential improvement over the naive estimate for convergence. We show that the procedure is compatible with qubit-based simulators, and show that using a variational quantum algorithm for circuit recompilation, the measurement operator required for MITE can be well approximated by a circuit with a much shallower circuit depth compared with the one obtained using the default Qiskit method.

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Publication Details

Journal
Quantum
Published
2024-12-10
DOI
https://doi.org/10.22331/q-2024-12-10-1557
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00

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article

Efficient preparation of the AKLT State with Measurement-based Imaginary Time Evolution

Tim Byrnes, Tianqi Chen
Quantum
Quantum Computing Algorithms and Architecture
article

Efficient preparation of the AKLT State with Measurement-based Imaginary Time Evolution

Tim Byrnes, Tianqi Chen
article en

Abstract

Quantum state preparation plays a crucial role in several areas of quantum information science, in applications such as quantum simulation, quantum metrology and quantum computing. However, typically state preparation requires resources that scale exponentially with the problem size, due to their probabilistic nature or otherwise, making studying such models challenging. In this article, we propose a method to prepare the ground state of the Affleck-Lieb-Kennedy-Tasaki (AKLT) model deterministically using a measurement-based imaginary time evolution (MITE) approach. By taking advantage of the special properties of the AKLT state, we show that it can be prepared efficiently using the MITE approach. Estimates based on the convergence of a sequence of local projections, as well as direct evolution of the MITE algorithm suggest a constant scaling with respect to the number of AKLT sites, which is an exponential improvement over the naive estimate for convergence. We show that the procedure is compatible with qubit-based simulators, and show that using a variational quantum algorithm for circuit recompilation, the measurement operator required for MITE can be well approximated by a circuit with a much shallower circuit depth compared with the one obtained using the default Qiskit method.

QuantumVol. 8
Centre for Quantum Technologies (SG), National University of Singapore (SG), Nanyang Technological University (SG), New York University Shanghai (CN), New York University (US), East China Normal University (CN)
New York University Shanghai, New York University Abu Dhabi, National Research Foundation, National University of Singapore, National Research Foundation Singapore, National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, East China Normal University, Tamkeen, National Supercomputing Centre Singapore
Openalex Percentile: Top 79%
Quantum Computing Algorithms and Architecture
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