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Measuring Out-of-Time-Order Correlators on a Nuclear Magnetic Resonance Quantum Simulator
Phys. Rev. X 7, 031011 – Published 19 July, 2017
DOI: https://doi.org/10.1103/PhysRevX.7.031011
Abstract
The idea of the out-of-time-order correlator (OTOC) has recently emerged in the study of both condensed matter systems and gravitational systems. It not only plays a key role in investigating the holographic duality between a strongly interacting quantum system and a gravitational system, it also diagnoses the chaotic behavior of many-body quantum systems and characterizes information scrambling. Based on OTOCs, three different concepts—quantum chaos, holographic duality, and information scrambling—are found to be intimately related to each other. Despite its theoretical importance, the experimental measurement of the OTOC is quite challenging, and thus far there is no experimental measurement of the OTOC for local operators. Here, we report the measurement of OTOCs of local operators for an Ising spin chain on a nuclear magnetic resonance quantum simulator. We observe that the OTOC behaves differently in the integrable and nonintegrable cases. Based on the recent discovered relationship between OTOCs and the growth of entanglement entropy in the many-body system, we extract the entanglement entropy from the measured OTOCs, which clearly shows that the information entropy oscillates in time for integrable models and scrambles for nonintgrable models. With the measured OTOCs, we also obtain the experimental result of the butterfly velocity, which measures the speed of correlation propagation. Our experiment paves a way for experimentally studying quantum chaos, holographic duality, and information scrambling in many-body quantum systems with quantum simulators.
Physics Subject Headings (PhySH)
Viewpoint
Seeing Scrambled Spins
Two experimental groups have taken a step towards observing the “scrambling” of information that occurs as a many-body quantum system thermalizes.
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Popular Summary
Chaos is a phenomenon where system dynamics are extremely sensitive to changes in initial conditions. For decades, physicists have attempted to find chaos in quantum mechanics. Unfortunately, because of the linear nature of quantum theory, such sensitivity does not exist. However, along the way, researchers found that chaos appears in quantum systems in other ways such as information scrambling. Surprisingly, this phenomenon shows up naturally in many branches of physics such as condensed-matter physics, high-energy physics, and quantum information science. This raises the question of how to quantitatively measure information scrambling. A mathematical tool known as an out-of-time-ordered correlation (OTOC) function has recently been identified as a candidate, but it is challenging to observe OTOC in experiments. We have used quantum simulations to demonstrate proof-of-concept measurements of OTOC, with high precision and strong robustness against noise, for the first time.
One of the difficulties in measuring OTOC is its alternating time ordering that requires one to “reverse” the system dynamics. The development of small-scale quantum computers provides a way around this hurdle. We use a four-qubit nuclear-magnetic-resonance quantum processor to simulate the dynamics of other quantum systems. We observe how the OTOC behaves in different scenarios and use the measured OTOC to determine how entropy changes over time.
Our method opens up a way to study OTOC with quantum computers built from other physical systems. The rapid development of quantum computing technology will likely reveal more interesting physics through a unifying understanding of quantum chaos and information scrambling.
Article Text
References (47)
- A. I. Larkin, and Y. N. Ovchinnikov, Quasiclassical Method in the Theory of Superconductivity, Sov. Phys. JETP 28, 1200 (1969).
- A. Kitaev, in Proceedings of the Fundamental Physics Prize Symposium (2014), Vol. 10.
- S. H. Shenker and D. Stanford, Black Holes and the Butterfly Effect, J. High Energy Phys. 03 (2014) 067.
- S. H. Shenker and D. Stanford, Multiple Shocks, J. High Energy Phys. 12 (2014) 046.
- S. H. Shenker and D. Stanford, Stringy Effects in Scrambling, J. High Energy Phys. 05 (2015) 132.
- J. Maldacena, S. H. Shenker, and D. Stanford, A Bound on Chaos, J. High Energy Phys. 08 (2016) 106.
- A. Kitaev, Proceedings of the KITP Program: Entanglement in Strongly-Correlated Quantum Matter (2015).
- J. Maldacena and D. Stanford, Remarks on the Sachdev-Ye-Kitaev Model, Phys. Rev. D 94, 106002 (2016).
- H. Shen, P. Zhang, R. Fan, and H. Zhai, Out-of-Time-Order Correlation at a Quantum Phase Transition, arXiv:1608.02438.
- R. Fan, P. Zhang, H. Shen, and H. Zhai, Out-of-Time-Order Correlation for Many-Body Localization, Science Bulletin 62, 707 (2017).
- P. Hosur, X.-L. Qi, D. A. Roberts, and B. Yoshida, Chaos in Quantum Channels, J. High Energy Phys. 02 (2016) 004.
- Y. Huang, Y.-L. Zhang, and X. Chen, Out-of-Time-Ordered Correlator in Many-Body Localized Systems, Ann. Phys. (Berlin), DOI: 10.1002/andp.201600318, 2016.
- Y. Chen, Quantum Logarithmic Butterfly in Many Body Localization, arXiv:1608.02765.
- B. Swingle and D. Chowdhury, Slow Scrambling in Disordered Quantum Systems, Phys. Rev. B 95, 060201 (2017).
- R.-Q. He and Z.-Y. Lu, Characterizing Many-Body Localization by Out-of-Time-Ordered Correlation, Phys. Rev. B 95, 054201 (2017).
- E. L. Hahn, Spin Echoes, Phys. Rev. 80, 580 (1950).
- M. F. Andersen, A. Kaplan, and N. Davidson, Echo Spectroscopy and Quantum Stability of Trapped Atoms, Phys. Rev. Lett. 90, 023001 (2003).
- H. T. Quan, Z. Song, X. F. Liu, P. Zanardi, and C.-P. Sun, Decay of Loschmidt Echo Enhanced by Quantum Criticality, Phys. Rev. Lett. 96, 140604 (2006).
- A. Goussev, R. A. Jalabert, H. M. Pastawski, and D. A. Wisniacki, Loschmidt Echo and Time Reversal in Complex Systems, Phil. Trans. R. Soc. A 374, 20150383 (2016).
- B. Swingle, G. Bentsen, M. Schleier-Smith, and P. Hayden, Measuring the Scrambling of Quantum Information, Phys. Rev. A 94, 040302 (2016).
- G. Zhu, M. Hafezi, and T. Grover, Measurement of Many-Body Chaos Using a Quantum Clock, Phys. Rev. A 94, 062329 (2016).
- N. Y. Yao, F. Grusdt, B. Swingle, M. D. Lukin, D. M. Stamper-Kurn, J. E. Moore, and E. A. Demler, Interferometric Approach to Probing Fast Scrambling, arXiv:1607.01801.
- I. Danshita, M. Hanada, and M. Tezuka, Creating and Probing the Sachdev-Ye-Kitaev Model with Ultracold Gases: Towards Experimental Studies of Quantum Gravity, arXiv:1606.02454.
- R. P. Feynman, Simulating Physics with Computers, Int. J. Theor. Phys. 21, 467 (1982).
- S. Lloyd, Universal Quantum Simulators, Science 273, 1073 (1996).
- S. G. Schirmer, H. Fu, and A. I. Solomon, Complete Controllability of Quantum Systems, Phys. Rev. A 63, 063410 (2001).
- D. W. Leung, I. L. Chuang, F. Yamaguchi, and Y. Yamamoto, Efficient Implementation of Coupled Logic Gates for Quantum Computation, Phys. Rev. A 61, 042310 (2000).
- O. Gühne and G. Tóth, Entanglement Detection, Phys. Rep. 474, 1 (2009).
- D. A. Roberts, D. Stanford, and L. Susskind, Localized Shocks, J. High Energy Phys. 03 (2015) 051.
- M. Blake, Universal Charge Diffusion and the Butterfly Effect in Holographic Theories, Phys. Rev. Lett. 117, 091601 (2016).
- D. A. Roberts and B. Swingle, Lieb-Robinson Bound and the Butterfly Effect in Quantum Field Theories, Phys. Rev. Lett. 117, 091602 (2016).
- E. H. Lieb, and D. W. Robinson, Statistical Mechanics (Springer, New York, 1972), pp. 425–431.
- S. Debnath, N. M. Linke, C. Figgatt, K. A. Landsman, K. Wright, and C. Monroe, Demonstration of a Small Programmable Quantum Computer with Atomic Qubits, Nature (London) 536, 63 (2016).
- R. Barends et al., Superconducting Quantum Circuits at the Surface Code Threshold for Fault Tolerance, Nature (London) 508, 500 (2014).
- J. Kelly et al., State Preservation by Repetitive Error Detection in a Superconducting Quantum Circuit, Nature (London) 519, 66 (2015).
- C. Monroe and J. Kim, Scaling the Ion Trap Quantum Processor, Science 339, 1164 (2013).
- J. G. Bohnet, B. C. Sawyer, J. W. Britton, M. L. Wall, A. M. Rey, M. Foss-Feig, and J. J. Bollinger, Quantum Spin Dynamics and Entanglement Generation with Hundreds of Trapped Ions, Science 352, 1297 (2016).
- A. D. Córcoles, E. Magesan, S. J. Srinivasan, A. W. Cross, M. Steffen, J. M. Gambetta, and J. M. Chow, Demonstration of a Quantum Error Detection Code Using a Square Lattice of Four Superconducting Qubits, Nat. Commun. 6, 6979 (2015).
- J. M. Gambetta, J. M. Chow, and M. Steffen, Building Logical Qubits in a Superconducting Quantum Computing System, Quantum Inf. Comput. 3, 2 (2017).
- M. Garttner, J. G. Bohnet, A. Safavi-Naini, M. L. Wall, J. J. Bollinger, and A. M. Rey, Measuring Out-of-Time-Order Correlations and Multiple Quantum Spectra in a Trapped Ion Quantum Magnet, Nat. Phys., DOI: 10.1038/nphys4119 (2017).
- X. Peng, Z. Luo, W. Zheng, S. Kou, D. Suter, and J. Du, Experimental Implementation of Adiabatic Passage between Different Topological Orders, Phys. Rev. Lett. 113, 080404 (2014).
- M. H. Levitt and L. Di Bari, Steady State in Magnetic Resonance Pulse Experiments, Phys. Rev. Lett. 69, 3124 (1992).
- L. M. Vandersypen and I. L. Chuang, NMR Techniques for Quantum Control and Computation, Rev. Mod. Phys. 76, 1037 (2005).
- C. A. Ryan, C. Negrevergne, M. Laforest, E. Knill, and R. Laflamme, Liquid-State Nuclear Magnetic Resonance as a Testbed for Developing Quantum Control Methods, Phys. Rev. A 78, 012328 (2008).
- J. Li, J. Cui, R. Laflamme, and X. Peng, Selective-Pulse-Network Compilation on a Liquid-State Nuclear-Magnetic-Resonance System, Phys. Rev. A 94, 032316 (2016).
- N. Khaneja, T. Reiss, C. Kehlet, T. Schulte-Herbrüggen, and S. J. Glaser, Optimal Control of Coupled Spin Dynamics: Design of NMR Pulse Sequences by Gradient Ascent Algorithms, J. Magn. Reson. 172, 296 (2005).
- M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information (Cambridge University Press, Cambridge, England, 2010).
