Bin Yan

Postdoctoral Research Associate
Center for Nonlinear Studies
Theoretical Division
Los Alamos National Laboratory

Email: byan@lanl.gov
Phone: (505) 665-2215
Office: Bldg 1690, Room 121

Los Alamos National Laboratory
P.O. Box 1663, Mail Stop B213
Los Alamos, NM 87545, USA

Degrees/Appointments:

• Ph.D. (2019) Physics, Purdue University
• B.S. (2012) Physics, University of Science and Technology of China (USTC)
• Appointments:
• 2019 - Present: Postdoctoral research associate, T-4/CNLS, Los Alamos National Laboratory.
• 2018 - 2019: Graduate research assistant, T-4, Los Alamos Nationa Laboratory.
• 2014 - 2018: Graduate research assistant, Purdue University.

Research Interests:

• Quantum information
• Statistical physics
• Probability theory -- quantum and beyond

Selected Publications:

• Bin Yan, V. Y. Chernyak, W. H. Zurek, and N. A. Sinitsyn, Nonadiabatic Phase Transition with Broken Chiral Symmetry, Phys. Rev. Lett. 126, 070602 (2021) .
  PRL weekly trending; Editors' Suggestion.
• Bin Yan, and N. A. Sinitsyn, Recovery of Damaged Information and the Out-of-Time-Ordered Correlators, Phys. Rev. Lett. 125, 040605 (2020) .
  PRL weekly trending.
• Z. Holmes, A. Arrasmith, Bin Yan, P. Cole, A. Albrecht, and A. Sornborger, Barren plateaus precludes learning scramblers, Phys. Rev. Lett. 126, 190501 (2021) .
• Bin Yan, L. Cincio, and W. H. Zurek, Information Scrambling and Loschmidt Echo, Phys. Rev. Lett. 124, 160603 (2020) .
• Bin Yan, R. R. Biswas, and C. H. Greene, Bulk-edge correspondence in fractional quantum Hall states, Phys. Rev. B 99, 035153 (2019) .
• Bin Yan, Algebraic probability-theoretic characterization of quantum correlations, Phys. Rev. A 96, 052120 (2017) .
• Bin Yan, Quantum Correlations are Tightly Bound by the Exclusivity Principle, Phys. Rev. Lett. 110, 260406 (2013) .

In the News:

• August 2021: LANL bi-annual science magazine 1663 published a cover article about our work on quantum chaos and the butterfly effect in its August 2021 issue.
  Check out the article here.
• May 2021: Our new theorem proves that quantum machine learning cannot efficiently learn a random complex physical process. The paper was published in Physical Review Letters.
  Check out also the news stories at Phys.org and Physics World.
• March 2021: Bin Yan was awarded the LANL Postdoc Distinguished Preformance Award.
  See full citation here.
• February 2021: Our work on the dynamical phase transition discovered a mechanism for inducing exponentially large separation between the densities of different types of particles.
  See selected news stories at LANL News and Phys.org .
• September 2020: Our opinion article at the Scientific American:
  "The Quantum Butterfly Non-Effect".
• July 2020: Our work on the quantum butterfly effect was published in Physical Review Letters .
  See selected press coverage at The Economist, Discover, Science Alert, and a nice blog story at New Atlas