Efficiently preparing chiral states via fermionic cooling on bosonic quantum hardware
Simulating many-body systems is one of the most promising applications of near-term quantum computers. An important open question is how to efficiently prepare the ground states of arbitrary fermionic Hamiltonians, especially those with nontrivial topology. Here, we propose an efficient protocol for preparing low-energy states of fermionic Hamiltonians on a noisy bosonic quantum simulator by adiabatic cooling using a simulated bath. We arrange the couplings such that the simulated system and bath together obtain a local fermionic description in which fermionic excitations can be extracted individually, via coherent hopping to the bath, rather than in pairs as would otherwise be required by fermion parity conservation. This approach thus achieves a linear (rather than quadratic) scaling of the cooling rate vs. excitation density at low densities. We show that certain topological phases such as the chiral (non-Abelian) phase of the Kitaev honeycomb model can be prepared efficiently using our protocol. Our protocol performs favorably in the presence of noise, making it suitable for execution on near-term quantum devices. Simulating many-body systems is a promising application of near-term quantum computers; however, preparing ground states of fermions on a quantum computer is challenging, especially if the ground state is topologically non-trivial. The authors propose a protocol to prepare the ground state of arbitrary fermionic Hamiltonians, which is particularly suitable for topological chiral states.
Authors
- Mark S. Rudner (ORCID: https://orcid.org/0000-0002-5150-6234)
- Gilad Kishony (ORCID: https://orcid.org/0000-0002-2181-587X)
- Erez Berg (ORCID: https://orcid.org/0000-0001-8956-3384)
Institutions
- University of Washington (US)
- Weizmann Institute of Science (IL)
Publication Details
- Journal
- Communications Physics
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1038/s42005-025-02002-7
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 0.00