TY - JOUR
T1 - Topological Speed Limit
AU - Van Vu, Tan
AU - Saito, Keiji
N1 - Funding Information:
We thank Tomotaka Kuwahara, Andreas Dechant, and Koudai Sugimoto for fruitful discussions; Marius Lemm and Ryusuke Hamazaki for helpful communications; and Mai Dan Nguyen for help in preparing the figures. We also appreciate anonymous referees for valuable comments. This work was supported by Grants-in-Aid for Scientific Research (No. JP19H05603 and No. JP19H05791).
Publisher Copyright:
© 2023 American Physical Society.
PY - 2023/1/6
Y1 - 2023/1/6
N2 - Any physical system evolves at a finite speed that is constrained not only by the energetic cost but also by the topological structure of the underlying dynamics. In this Letter, by considering such structural information, we derive a unified topological speed limit for the evolution of physical states using an optimal transport approach. We prove that the minimum time required for changing states is lower bounded by the discrete Wasserstein distance, which encodes the topological information of the system, and the time-averaged velocity. The bound obtained is tight and applicable to a wide range of dynamics, from deterministic to stochastic, and classical to quantum systems. In addition, the bound provides insight into the design principles of the optimal process that attains the maximum speed. We demonstrate the application of our results to chemical reaction networks and interacting many-body quantum systems.
AB - Any physical system evolves at a finite speed that is constrained not only by the energetic cost but also by the topological structure of the underlying dynamics. In this Letter, by considering such structural information, we derive a unified topological speed limit for the evolution of physical states using an optimal transport approach. We prove that the minimum time required for changing states is lower bounded by the discrete Wasserstein distance, which encodes the topological information of the system, and the time-averaged velocity. The bound obtained is tight and applicable to a wide range of dynamics, from deterministic to stochastic, and classical to quantum systems. In addition, the bound provides insight into the design principles of the optimal process that attains the maximum speed. We demonstrate the application of our results to chemical reaction networks and interacting many-body quantum systems.
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U2 - 10.1103/PhysRevLett.130.010402
DO - 10.1103/PhysRevLett.130.010402
M3 - Article
C2 - 36669213
AN - SCOPUS:85146113989
SN - 0031-9007
VL - 130
JO - Physical Review Letters
JF - Physical Review Letters
IS - 1
M1 - 010402
ER -