Measurement-induced quantum phases realized in a trapped-ion quantum computer
Date
2022-07-01
Journal Title
Journal ISSN
Volume Title
Repository Usage Stats
views
downloads
Citation Stats
Abstract
Many-body open quantum systems balance internal dynamics against decoherence and measurements induced by interactions with an environment1,2. Quantum circuits composed of random unitary gates with interspersed projective measurements represent a minimal model to study the balance between unitary dynamics and measurement processes3–5. As the measurement rate is varied, a purification phase transition is predicted to emerge at a critical point akin to a fault-tolerant threshold6. 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 times6,7. We find experimental evidence of the two phases and show numerically that, with modest system scaling, critical properties of the transition emerge.
Type
Department
Description
Provenance
Subjects
Citation
Permalink
Published Version (Please cite this version)
Publication Info
Noel, C, P Niroula, D Zhu, A Risinger, L Egan, D Biswas, M Cetina, AV Gorshkov, et al. (2022). Measurement-induced quantum phases realized in a trapped-ion quantum computer. Nature Physics, 18(7). pp. 760–764. 10.1038/s41567-022-01619-7 Retrieved from https://hdl.handle.net/10161/26065.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
Collections
Scholars@Duke

Crystal Noel
Prof. Noel's research interests include both the technology development for scalable ion trap quantum computers, as well as using existing ion trap quantum computers for relevant demonstrations, tests, and simulations.

Marko Cetina

Christopher R Monroe
Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.