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Verified quantum information scrambling
Open accessAbstract
Quantum scrambling is the dispersal of local information into many-body quantum entanglements and correlations distributed throughout an entire system. This concept accompanies the dynamics of thermalization in closed quantum systems, and has recently emerged as a powerful tool for characterizing chaos in black holes 1-4. However, the direct experimental measurement of quantum scrambling is difficult, owing to the exponential complexity of ergodic many-body entangled states. One way to characterize quantum scrambling is to measure an out-of-time-ordered correlation function (OTOC); however, because scrambling leads to their decay, OTOCs do not generally discriminate between quantum scrambling and ordinary decoherence. Here we implement a quantum circuit that provides a positive test for the scrambling features of a given unitary process 5,6. This approach conditionally teleports a quantum state through the circuit, providing an unambiguous test for whether scrambling has occurred, while simultaneously measuring an OTOC. We engineer quantum scrambling processes through a tunable three-qubit unitary operation as part of a seven-qubit circuit on an ion trap quantum computer. Measured teleportation fidelities are typically about 80 per cent, and enable us to experimentally bound the scrambling-induced decay of the corresponding OTOC measurement.
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“We realize the walk on a chain of seven individual 171Yb+ ions confined in a Paul trap and laser-cooled close to their motional ground state45,51.”
From Quantum walks and Dirac cellular automata on a programmable trapped-ion quantum computer (2020) · cites this paper as [51]
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Cites
The large $N$ limit of superconformal field theories and supergravity
Maldacena, J. (1998) · Advances in Theoretical and Mathematical Physics · doi:10.4310/atmp.1998.v2.n2.a1 · Cited by 14,524
Teleporting an unknown quantum state via dual classical and Einstein-Podolsky-Rosen channels
Bennett, C. H., Brassard, G., Crépeau, C., Jozsa, R., Peres, A., & Wootters, W. K. (1993) · Physical Review Letters · doi:10.1103/physrevlett.70.1895 · Cited by 13,703
The Large N Limit of Superconformal Field Theories and SupergravityPreprint
Maldacena, J. (1998) · Cited by 12,247
A fast quantum mechanical algorithm for database search
Grover, L. K. (1996) · Proceedings of the twenty-eighth annual ACM symposium on Theory of computing - STOC '96 · doi:10.1145/237814.237866 · Cited by 8,830
The Large-N Limit of Superconformal Field Theories and Supergravity
Maldacena, J. (1999) · International Journal of Theoretical Physics · doi:10.1023/a:1026654312961 · Cited by 6,704
Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering
Strogatz, S. H., Friedman, M. J., Mallinckrodt, A. J., & McKay, S. R. (1994) · Computers in Physics · doi:10.1063/1.4823332 · Cited by 4,654
Quantum Mechanics Helps in Searching for a Needle in a Haystack
Grover, L. K. (1997) · Physical Review Letters · doi:10.1103/physrevlett.79.325 · Cited by 4,306 · cited 1×
“The intuition behind this deterministic decoder is to perform a search for the EPR pair through an implementation of Grover’s search algorithm [33] instead of post-selecting on a projective measurement.”
MethodNonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry and Engineering
Strogatz, S. H., & Fox, R. F. (1995) · Physics Today · doi:10.1063/1.2807947 · Cited by 2,584
Many-Body Localization and Thermalization in Quantum Statistical Mechanics
Nandkishore, R., & Huse, D. A. (2015) · Annual Review of Condensed Matter Physics · doi:10.1146/annurev-conmatphys-031214-014726 · Cited by 2,568
Breakdown of predictability in gravitational collapse
Hawking, S. W. (1976) · Physical Review D · doi:10.1103/physrevd.14.2460 · Cited by 2,554
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Geier, S., Thaicharoen, N., Hainaut, C., Franz, T., Salzinger, A., Tebben, A., Grimshandl, D., Zürn, G., & Weidemüller, M. (2021) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.5126599 · Cited by 124
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Braumüller, J., Karamlou, A. H., Yanay, Y., Kannan, B., Kim, D. K., Kjærgaard, M., Melville, A. J., Niedzielski, B. M., Sung, Y., Vepsäläinen, A. P., et al. (2021) · Nature Physics · doi:10.1038/s41567-021-01430-w · Cited by 138
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Lewis-Swan, R. J., Safavi-Naini, A., Kaufman, A. M., & Rey, A. M. (2019) · Nature Reviews Physics · doi:10.1038/s42254-019-0090-y · Cited by 125
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Vermersch, B., Elben, A., Sieberer, L. M., Yao, N. Y., & Zoller, P. (2019) · Physical Review X · doi:10.1103/physrevx.9.021061 · Cited by 121
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Alonso, J. R. G., Halpern, N. Y., & Dressel, J. (2019) · Physical Review Letters · doi:10.1103/physrevlett.122.040404 · Cited by 120
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Sieberer, L., Olsacher, T., Elben, A., Heyl, M., Hauke, P., Haake, F., & Zoller, P. (2019) · MPG.PuRe (Max Planck Society) · Cited by 86
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Bentsen, G. S., Hashizume, T., Buyskikh, A. S., Davis, E. J., Daley, A. J., Gubser, S. S., & Schleier-Smith, M. (2019) · Physical Review Letters · doi:10.1103/physrevlett.123.130601 · Cited by 78
Davoudi, Z., Linke, N. M., & Pagano, G. (2021) · Physical Review Research · doi:10.1103/physrevresearch.3.043072 · Cited by 96
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Alba, V., & Calabrese, P. (2019) · Physical review. B./Physical review. B · doi:10.1103/physrevb.100.115150 · Cited by 82
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Chen, B., Hou, X., Zhou, F., Qian, P., Shen, H., & Xu, N. (2020) · Applied Physics Letters · doi:10.1063/5.0004152 · Cited by 45
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Rungger, I., Fitzpatrick, N., Chen, H., Alderete, C. H., Apel, H., Cowtan, A., Patterson, A., Ramo, D. M., Zhu, Y., Nguyen, N. H., et al. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1910.04735 · Cited by 73
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Sajjan, M., Singh, V. K., Selvarajan, R., & Kais, S. (2023) · Physical Review Research · doi:10.1103/physrevresearch.5.013146 · Cited by 44
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Efficient Stabilized Two-Qubit Gates on a Trapped-Ion Quantum Computer
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Probing Operator Spreading via Floquet Engineering in a Superconducting Circuit
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Toward convergence of effective-field-theory simulations on digital quantum computers
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Metadata
- Authors
- Landsman, K. A., Figgatt, C., Schuster, T., Linke, N. M., Yoshida, B., Yao, N. Y., & Monroe, C.
- Affiliations
- Joint Center for Quantum Information and Computer Science (US)
- University of California, Berkeley (US)
- Perimeter Institute (CA)
- Lawrence Berkeley National Laboratory (US)
- Corresponding author
- Landsman, K. A.
- Venue
- Nature
- Published
- 2019-03-06
- Volume
- 567
- Issue
- 7746
- Pages
- 61-65
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2805441291
- Cited by
- 368
- References
- 51
- Citations by year
- 2026: 25 · 2025: 44 · 2024: 53 · 2023: 55 · 2022: 53 · 2021: 62 · 2020: 47 · 2019: 28
- FWCI
- 20.89
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum many-body systems
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Information and Cryptography
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Keywords
- quantum scrambling, quantum chaos, quantum teleportation, ion trap quantum computing, decoherence, thermalization, black holes
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