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This paper provides a rigorous resource estimation for preparing ground states of the fermionic Hubbard model using Lindblad dynamics, revealing that empirically tuned parameters can drastically reduce T-gate counts compared to theoretical worst-case bounds. By identifying energy transition filtering as the primary cost driver, the study offers actionable insights for optimizing quantum circuits in the early fault-tolerant regime. These findings are critical for assessing the practical feasibility of complex state preparation tasks on near-term and future quantum hardware.
Fault-tolerant resource estimation for ground-state preparation via Lindblad simulation
arXiv:2610.08667v1 Announce Type: new Abstract: Recent advances in algorithms for simulating Lindblad dynamics have clarified their theoretical potential for state preparation, but their practicality in the early fault-tolerant regime and beyond remains uncertain. In this work, we address this by investigating the cost of preparing ground states of the fermionic Hubbard model, following the single-ancilla approach of [Phys. Rev. Research 6, 033147 (2024)]. We derive rigorous error bounds including constant prefactors, and compare to empirical error behavior and practical convergence parameters obtained from circuit-level simulations. We find that empirically chosen parameters can reduce the required resources by orders of magnitude, resulting in an estimated $7.7 \times 10^8$ T gates to perform one unit of time evolution targeting the low-energy subspace of a 36-site fermionic Hubbard model. We identify the accurate filtering of energy transitions as the main source of this cost.
Abstract:Recent advances in algorithms for simulating Lindblad dynamics have clarified their theoretical potential for state preparation, but their practicality in the early fault-tolerant regime and beyond remains uncertain. In this work, we address this by investigating the cost of preparing ground states of the fermionic Hubbard model, following the single-ancilla approach of [Phys. Rev. Research 6, 033147 (2024)]. We derive rigorous error bounds including constant prefactors, and compare to empirical error behavior and practical convergence parameters obtained from circuit-level simulations. We find that empirically chosen parameters can reduce the required resources by orders of magnitude, resulting in an estimated $7.7 \times 10^8$ T gates to perform one unit of time evolution targeting the low-energy subspace of a 36-site fermionic Hubbard model. We identify the accurate filtering of energy transitions as the main source of this cost.
arXiv:2610.08667 [quant-ph]
(or arXiv:2610.08667v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.08667 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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