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Published October 7, 2022 | public
Journal Article

Complexity Phase Diagram for Interacting and Long-Range Bosonic Hamiltonians

Abstract

We classify phases of a bosonic lattice model based on the computational complexity of classically simulating the system. We show that the system transitions from being classically simulable to classically hard to simulate as it evolves in time, extending previous results to include on-site number-conserving interactions and long-range hopping. Specifically, we construct a complexity phase diagram with easy and hard "phases" and derive analytic bounds on the location of the phase boundary with respect to the evolution time and the degree of locality. We find that the location of the phase transition is intimately related to upper bounds on the spread of quantum correlations and protocols to transfer quantum information. Remarkably, although the location of the transition point is unchanged by on-site interactions, the nature of the transition point does change. Specifically, we find that there are two kinds of transitions, sharp and coarse, broadly corresponding to interacting and noninteracting bosons, respectively. Our Letter motivates future studies of complexity in many-body systems and its interplay with the associated physical phenomena.

Additional Information

We thank Emmanuel Abbe, Michael Foss-Feig, James Garrison, Dominik Hangleiter, and Rex Lundgren for helpful discussions, the anonymous referees for their valuable comments, and the authors of Ref. [43] for sharing their results with us. N. M., A. D., M. C. T., A. E., and A. V. G. acknowledge funding by DOE ASCR Accelerated Research in Quantum Computing program (Award No. DE-SC0020312), NSF PFCQC program, U.S. Department of Energy Award No. DE-SC0019449, DOE ASCR Quantum Testbed Pathfinder program (Award No. DE-SC0019040), AFOSR MURI, AFOSR, ARO MURI, ARL CDQI, NSF PFC at JQI, DOE QSA, NSF QLCI (Award No. OMA-2120757), and DARPA SAVaNT ADVENT. N. M. also acknowledges funding from the Caltech SURF program. M. C. T. also acknowledges support under the NSF Grant No. PHY-1748958 and from the Heising-Simons Foundation. A. E. also acknowledges funding from the DOD. B. F. is funded in part by AFOSR YIP No. FA9550-18-1-0148 as well as ARO Grants No. W911NF-12-1-0541 and No. W911NF-17-1-0025, and NSF Grant No. CCF-1410022. B. F. also acknowledges support from AFOSR (YIP No. FA9550-18-1-0148 and No. FA9550-21-1-0008). This material is based upon work partially supported by the National Science Foundation under Grant No. CCF-2044923 (CAREER) and by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers (Q-NEXT) as well as by DOE QuantISED Grant No. DE-SC0020360.

Additional details

Created:
August 22, 2023
Modified:
October 23, 2023