IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-51592-3.html
   My bibliography  Save this article

Certified algorithms for equilibrium states of local quantum Hamiltonians

Author

Listed:
  • Hamza Fawzi

    (University of Cambridge)

  • Omar Fawzi

    (LIP)

  • Samuel O. Scalet

    (University of Cambridge)

Abstract

Predicting observables in equilibrium states is a central yet notoriously hard question in quantum many-body systems. In the physically relevant thermodynamic limit, certain mathematical formulations of this task have even been shown to result in undecidable problems. Using a finite-size scaling of algorithms devised for finite systems often fails due to the lack of certified convergence bounds for this limit. In this work, we design certified algorithms for computing expectation values of observables in the equilibrium states of local quantum Hamiltonians, both at zero and positive temperature. Importantly, our algorithms output rigorous lower and upper bounds on these values. This allows us to show that expectation values of local observables can be approximated in finite time, contrasting related undecidability results. When the Hamiltonian is commuting on a 2-dimensional lattice, we prove fast convergence of the hierarchy at high temperature and as a result for a desired precision ε, local observables can be approximated by a convex optimization program of quasi-polynomial size in 1/ε.

Suggested Citation

  • Hamza Fawzi & Omar Fawzi & Samuel O. Scalet, 2024. "Certified algorithms for equilibrium states of local quantum Hamiltonians," Nature Communications, Nature, vol. 15(1), pages 1-6, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-51592-3
    DOI: 10.1038/s41467-024-51592-3
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-51592-3
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-024-51592-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Johannes Bausch & Toby S. Cubitt & James D. Watson, 2021. "Uncomputability of phase diagrams," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    2. Toby S. Cubitt & David Perez-Garcia & Michael M. Wolf, 2015. "Undecidability of the spectral gap," Nature, Nature, vol. 528(7581), pages 207-211, December.
    3. K. Temme & T. J. Osborne & K. G. Vollbrecht & D. Poulin & F. Verstraete, 2011. "Quantum Metropolis sampling," Nature, Nature, vol. 471(7336), pages 87-90, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. James D. Watson & Emilio Onorati & Toby S. Cubitt, 2022. "Uncomputably complex renormalisation group flows," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    2. Muhammad Junaid Umer & Muhammad Imran Sharif, 2022. "A Comprehensive Survey on Quantum Machine Learning and Possible Applications," International Journal of E-Health and Medical Communications (IJEHMC), IGI Global, vol. 13(5), pages 1-17, October.
    3. Heinz Langhals, 2017. "Interaction of Components in Molecular Optoelectronics for the Next Generation of IT Devices," Scientific Review, Academic Research Publishing Group, vol. 3(3), pages 17-28, 03-2017.
    4. Bin Yan & Nikolai A. Sinitsyn, 2022. "Analytical solution for nonadiabatic quantum annealing to arbitrary Ising spin Hamiltonian," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    5. Schmidhuber, Christof, 2022. "Chaitin’s Omega and an algorithmic phase transition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    6. Evgeny Kozik, 2024. "Combinatorial summation of Feynman diagrams," Nature Communications, Nature, vol. 15(1), pages 1-8, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-51592-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.