Rapid Quantum Ground State Preparation via Dissipative Dynamics
Creators
Abstract
Inspired by natural cooling processes, dissipation has become a promising approach for preparing low-energy states of quantum systems. However, the potential of dissipative protocols remains unclear beyond certain commuting Hamiltonians. This work provides significant analytical and numerical insights into the power of dissipation for preparing the ground state of noncommuting Hamiltonians. For quasi-free dissipative dynamics, including certain 1D spin systems with boundary dissipation, our results reveal a new connection between the mixing time in trace distance and the spectral properties of a non-Hermitian Hamiltonian, leading to an explicit and sharp bound on the mixing time that scales polynomially with system size. For more general spin systems, we develop a tensor network-based algorithm for constructing the Lindblad jump operator and for simulating the dynamics. Using this algorithm, we demonstrate numerically that dissipative ground state preparation protocols can achieve rapid mixing for certain 1D local Hamiltonians under bulk dissipation, with a mixing time that scales logarithmically with the system size. We then prove the rapid mixing result for certain weakly interacting spin and fermionic systems in arbitrary dimensions, extending recent results for high-temperature quantum Gibbs samplers to the zero-temperature regime. Together, these results show that dissipation can be a powerful tool for ground state preparation, with potential applications across condensed matter physics, quantum materials science, and beyond.
Copyright and License
Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.
Acknowledgement
This material is based upon work supported by the U.S. Department of Energy, Office of Science, Accelerated Research in Quantum Computing Centers, Quantum Utility through Advanced Computational Quantum Algorithms, Grant No. DE-SC0025572 (J. P., G. K. C., L. L.). Additional support is acknowledged from the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Quantum Systems Accelerator (Y. Z., Z. D., J. P., L. L.) and the National Science Foundation, Grant No. PHY-2317110 (Y. Z., J. P.). The Institute for Quantum Information and Matter is an NSF Physics Frontiers Center. L. L. is a Simons Investigator in Mathematics. This research used the Savio computational cluster resource provided by the Berkeley Research Computing program at the University of California, Berkeley. Z. D., J. H., and L. L. thank the Institute for Pure and Applied Mathematics (IPAM) for its hospitality in hosting them as long-term visitors during the semester-long program “Mathematical and Computational Challenges in Quantum Computing” in Fall 2023, from which this collaboration started. The authors thank Joao Basso, Paul Cazeaux, Anthony Chen, Soonwon Choi, Marius Junge, Michael Kastoryano, Jianfeng Lu, Christian Mendl, Gunhee Park, Cambyse Rouzé, Yu Tong, and Lexing Ying for helpful discussions.
Contributions
G. K. C. and L. L. conceived the original study. Y. Z., Z. D., and L. L. carried out theoretical analysis to support the study. Y. Z., J. H., and L. L. carried out numerical calculations to support the study. J. G. provided support in tensor network-based simulations. All authors discussed the results of the manuscript and contributed to the writing of the manuscript.
Data Availability
The data that support the findings of this article are openly available [91].
Files
wzb3-dbg9.pdf
Additional details
Related works
- Is new version of
- Discussion Paper: arXiv:2503.15827 (arXiv)
- Is supplemented by
- Dataset: https://github.com/lin-lin/oneancillaground (URL)
Funding
- United States Department of Energy
- Advanced Computational Quantum Algorithms
- DE-SC0025572
- National Quantum Information Science Research Centers
- National Science Foundation
- PHY-2317110
- University of California, Berkeley
Dates
- Submitted
-
2025-04-04
- Accepted
-
2025-11-07