Imaginary-time-enhanced feedback-based quantum algorithms for universal ground-state preparation
- URL: http://arxiv.org/abs/2512.13044v1
- Date: Mon, 15 Dec 2025 07:12:03 GMT
- Title: Imaginary-time-enhanced feedback-based quantum algorithms for universal ground-state preparation
- Authors: Thanh Nguyen Van Long, Lan Nguyen Tran, Le Bin Ho,
- Abstract summary: We introduce an imaginary-time-enhanced FALQON scheme, which inserts short imaginary-time evolution steps into the feedback loop.<n>The hybrid method suppresses excited-state components, escapes subspaces, and restores monotonic energy descent.<n>ITE-FALQON achieves a reliable ground-state convergence across all fillings.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Preparing ground states of strongly correlated quantum systems is a central goal in quantum simulation and optimization. The feedback-based quantum algorithm (FALQON) provides an attractive alternative to variational methods with a fully quantum feedback rule, but it fails in the presence of spectral degeneracies, where the feedback signal collapses and the evolution cannot reach the ground state. Using the Fermi-Hubbard model on lattices up to 3x3, we show that this breakdown appears at half-filling on the 2x2 lattice and extends to both half-filled and doped configurations on the 3x3 lattice. We then introduce an imaginary-time-enhanced FALQON (ITE-FALQON) scheme, which inserts short imaginary-time evolution steps into the feedback loop. The hybrid method suppresses excited-state components, escapes degenerate subspaces, and restores monotonic energy descent. The ITE-FALQON achieves a reliable ground-state convergence across all fillings, providing a practical route to scalable ground-state preparation in strongly correlated quantum systems.
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