Importance of the Spectral gap in Estimating Ground-State Energies
Abstract
The field of quantum Hamiltonian complexity lies at the intersection of quantum many-body physics and computational complexity theory, with deep implications to both fields. The main object of study is the LocalHamiltonian problem, which is concerned with estimating the ground-state energy of a local Hamiltonian and is complete for the class 𝖰𝖬𝖠, a quantum generalization of the class 𝖭𝖯. A major challenge in the field is to understand the complexity of the LocalHamiltonian problem in more physically natural parameter regimes. One crucial parameter in understanding the ground space of any Hamiltonian in many-body physics is the spectral gap, which is the difference between the smallest two eigenvalues. Despite its importance in quantum many-body physics, the role played by the spectral gap in the complexity of LocalHamiltonian is less well understood. In this work, we make progress on this issue by considering the precise regime, in which one estimates the ground-state energy to within inverse exponential precision. Computing ground-state energies precisely is a task that is important for quantum chemistry and quantum many-body physics. In the setting of inverse-exponential precision, there is a surprising result by Fefferman and Lin that the complexity of LocalHamiltonian is magnified from 𝖰𝖬𝖠 to 𝖯𝖲𝖯𝖠𝖢𝖤, the class of problems solvable in polynomial space (but possibly exponential time). We clarify the reason behind this boost in complexity. Specifically, we show that the full complexity of the high-precision case only comes about when the spectral gap is exponentially small. As a consequence of the proof techniques developed to show our results, we uncover important implications for the representability and circuit complexity of ground states of local Hamiltonians, the theory of uniqueness of quantum witnesses, and techniques for the amplification of quantum witnesses in the presence of postselection.
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
We thank Sevag Gharibian, Alex Grilo, Hosho Katsura, Cedric Lin, Yupan Liu, and Zachary Remscrim for useful feedback on the manuscript. We thank an anonymous referee of an earlier version of this manuscript for pointing out the similarity of imaginary-time evolution with the power method and Cedric Lin for showing that the power method can give a 𝖯𝖯 algorithm as opposed to a 𝖯𝖯𝖯 algorithm. We also thank Zachary Remscrim for suggesting the proof of Lemma 11, and Peter Love, Yuan Su, Minh Tran, and Seth Whitsitt for helpful discussions. A.D. and A.V.G. were supported in part by the DoE ASCR Accelerated Research in Quantum Computing program (Award No. DE-SC0020312), DoE ASCR Quantum Testbed Pathfinder program (Award No. DE-SC0019040), DoE QSA, NSF QLCI, U.S. Department of Energy Award No. DE-SC0019449, NSF PFCQC program, AFOSR, ARO MURI, AFOSR MURI, and DARPA SAVaNT ADVENT. A.D. also acknowledges support from NSF RAISE/TAQS 1839204. B.F. acknowledges support from AFOSR (YIP numbers FA9550-18-1-0148 and FA9550-21-1-0008). This material is based upon work partially supported by the National Science Foundation under Grant CCF- 2044923 (CAREER) and by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers. The Institute for Quantum Information and Matter is a NSF Physics Frontiers Center (PHY-1733907).
Funding
A.D. and A.V.G. were supported in part by the DoE ASCR Accelerated Research in Quantum Computing program (Award No. DE-SC0020312), DoE ASCR Quantum Testbed Pathfinder program (Award No. DE-SC0019040), DoE QSA, NSF QLCI, U.S. Department of Energy Award No. DE-SC0019449, NSF PFCQC program, AFOSR, ARO MURI, AFOSR MURI, and DARPA SAVaNT ADVENT. A.D. also acknowledges support from NSF RAISE/TAQS 1839204. B.F. acknowledges support from AFOSR (YIP numbers FA9550-18-1-0148 and FA9550-21-1-0008). This material is based upon work partially supported by the National Science Foundation under Grant CCF- 2044923 (CAREER) and by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers. The Institute for Quantum Information and Matter is a NSF Physics Frontiers Center (PHY-1733907).
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Additional details
- United States Department of Energy
- DE-SC0020312
- United States Department of Energy
- DE-SC0019040
- United States Department of Energy
- DE-SC0019449
- United States Army Research Office
- Defense Advanced Research Projects Agency
- National Science Foundation
- CCF-1839204
- United States Air Force Office of Scientific Research
- FA9550-18-1-0148
- United States Air Force Office of Scientific Research
- FA9550-21-1-0008
- National Science Foundation
- CCF-2044923
- National Science Foundation
- PHY-1733907
- Accepted
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2022-11-15Accepted
- Caltech groups
- Institute for Quantum Information and Matter
- Publication Status
- Published