4.8 Article

Many-body Hilbert space scarring on a superconducting processor

Journal

NATURE PHYSICS
Volume 19, Issue 1, Pages 120-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41567-022-01784-9

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In this experiment, a distinct type of quantum many-body scarring (QMBS) is realized by approximately decoupling a part of the many-body Hilbert space in the computational basis. By utilizing a programmable superconducting processor, Hilbert space scarring is achieved in different geometries, and strong evidence for QMBS states is provided through measurements of qubit population dynamics, quantum fidelity, and entanglement entropy.
Many-body quantum systems that escape thermalization are promising candidates for quantum information applications. A weak-ergodicity-breaking mechanism-quantum scarring-has now been observed with superconducting qubits in unconstrained models. 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.

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