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This paper introduces a variational imaginary-time evolution framework using polynomial filtering to significantly improve the accuracy and stability of ground-state preparation on near-term quantum devices. By deriving optimized non-unitary projectors from an operator-level action principle, the authors achieve up to an order-of-magnitude enhancement in success probability compared to standard Trotter-Suzuki methods. The work provides rigorous error bounds based on static Hamiltonian properties, offering practical guidance for simulation time steps in quantum algorithms.
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Variationally Optimized Imaginary-time Polynomial Filters for Ground State Projection

arXiv2 min read

arXiv:2608.28357v1 Announce Type: new Abstract: In this work, we develop a variational imaginary-time evolution (ITE) framework based on polynomial filtering, derived from an operator-level action principle, which yields an optimized non-unitary projector expressed as a polynomial in the Hamiltonian. Starting from a single-ancilla, first-order imaginary-time update defined by a Taylor expansion and Trotter-Suzuki (TS) decompositions, we show that replacing these approximations with alternative variational formulas substantially improves both accuracy and stability at larger time steps, leading to up to an order-of-magnitude enhancement in the final success probability. We further derive rigorous error bounds that depend only on static properties of the Hamiltonian, providing practical guidance for selecting the simulation time step. Benchmarks on the transverse-field Ising model demonstrate faster convergence to the ground-state energy and improved robustness compared to standard TS--Taylor ITE, highlighting variational polynomial filtering as a practical route to higher-fidelity ground-state preparation on near-term quantum devices.

Abstract:In this work, we develop a variational imaginary-time evolution (ITE) framework based on polynomial filtering, derived from an operator-level action principle, which yields an optimized non-unitary projector expressed as a polynomial in the Hamiltonian. Starting from a single-ancilla, first-order imaginary-time update defined by a Taylor expansion and Trotter-Suzuki (TS) decompositions, we show that replacing these approximations with alternative variational formulas substantially improves both accuracy and stability at larger time steps, leading to up to an order-of-magnitude enhancement in the final success probability. We further derive rigorous error bounds that depend only on static properties of the Hamiltonian, providing practical guidance for selecting the simulation time step. Benchmarks on the transverse-field Ising model demonstrate faster convergence to the ground-state energy and improved robustness compared to standard TS--Taylor ITE, highlighting variational polynomial filtering as a practical route to higher-fidelity ground-state preparation on near-term quantum devices.

Quantum Physics (quant-ph); Computational Physics (physics.comp-ph)

arXiv:2608.28357 [quant-ph]

(or arXiv:2608.28357v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2608.28357 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 240 words

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