Measurement-induced quantum phases realized in a trapped-ion quantum computer

Many-body open quantum systems balance internal dynamics against decoherence and measurements induced by interactions with an environment 1 , 2 . Quantum circuits composed of random unitary gates with interspersed projective measurements represent a minimal model to study the balance between unitary...

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Published inNature physics Vol. 18; no. 7; pp. 760 - 764
Main Authors Noel, Crystal, Niroula, Pradeep, Zhu, Daiwei, Risinger, Andrew, Egan, Laird, Biswas, Debopriyo, Cetina, Marko, Gorshkov, Alexey V., Gullans, Michael J., Huse, David A., Monroe, Christopher
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 01.07.2022
Nature Publishing Group
Nature Publishing Group (NPG)
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Summary:Many-body open quantum systems balance internal dynamics against decoherence and measurements induced by interactions with an environment 1 , 2 . Quantum circuits composed of random unitary gates with interspersed projective measurements represent a minimal model to study the balance between unitary dynamics and measurement processes 3 – 5 . As the measurement rate is varied, a purification phase transition is predicted to emerge at a critical point akin to a fault-tolerant threshold 6 . Here we explore this purification transition with random quantum circuits implemented on a trapped-ion quantum computer. We probe the pure phase, where the system is rapidly projected to a pure state conditioned on the measurement outcomes, and the mixed or coding phase, where the initial state becomes partially encoded into a quantum error correcting codespace that keeps the memory of initial conditions for long times 6 , 7 . We find experimental evidence of the two phases and show numerically that, with modest system scaling, critical properties of the transition emerge. Many-body open quantum systems are predicted to undergo a phase transition towards a pure state through frequent projective measurements. The phases separated by this transition have now been observed with random circuits on a trapped-ion computer.
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USDOE Office of Science (SC)
SC0020312
ISSN:1745-2473
1745-2481
DOI:10.1038/s41567-022-01619-7