Zhang, P, Dong, H, Gao, Y et al. (23 more authors) (2023) Many-body Hilbert space scarring on a superconducting processor. Nature Physics, 19 (1). pp. 120-125. ISSN 1745-2473
Abstract
Quantum many-body scarring (QMBS) is a recently discovered form of weak ergodicity breaking in strongly interacting quantum systems, which presents opportunities for mitigating thermalization-induced decoherence in quantum information processing applications. However, the existing experimental realizations of QMBS are based on systems with specific kinetic constrains. Here we experimentally realize a distinct kind of QMBS by approximately decoupling a part of the many-body Hilbert space in the computational basis. Utilizing a programmable superconducting processor with 30 qubits and tunable couplings, we realize Hilbert space scarring in a non-constrained model in different geometries, including a linear chain and quasi-one-dimensional comb geometry. By reconstructing the full quantum state through quantum state tomography on four-qubit subsystems, we provide strong evidence for QMBS states by measuring qubit population dynamics, quantum fidelity and entanglement entropy after a quench from initial unentangled states. Our experimental findings broaden the realm of scarring mechanisms and identify correlations in QMBS states for quantum technology applications.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © The Author(s), under exclusive licence to Springer Nature Limited 2022. This is an author produced version of an article, published in Nature Physics. Uploaded in accordance with the publisher's self-archiving policy. |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Physics and Astronomy (Leeds) > Theoretical Physics (Leeds) |
| Funding Information: | Funder Grant number Leverhulme Trust RL-2019-015 |
| Depositing User: | Symplectic Publications |
| Date Deposited: | 18 Nov 2022 12:22 |
| Last Modified: | 15 Jan 2025 15:18 |
| Status: | Published |
| Publisher: | Nature Research |
| Identification Number: | 10.1038/s41567-022-01784-9 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:193328 |

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