aiqbench analysis
This research presents a novel digital quantum state preparation technique inspired by nucleation, designed to significantly reduce resource requirements for lattice Hamiltonians on current hardware. By combining Trotterized adiabatic evolution with variational optimization, the method demonstrates superior fidelity compared to leading approaches for models like the two-dimensional Ising system. This advancement is critical for scaling up simulations of complex quantum materials without prohibitive circuit depth.
Digital quantum state preparation by nucleation
arXiv:2609.37527v1 Announce Type: new Abstract: Quantum state preparation is crucial for quantum algorithms, and improved state preparation methods can reduce resource requirements by orders of magnitude. In this work, we introduce a state preparation method for lattice Hamiltonians on digital quantum computers inspired by nucleation. In our method, the exact ground state of a small lattice Hamiltonian is prepared in a quantum circuit, then a series of growth stages are performed via Trotterized adiabatic evolution to increase the size of the lattice to the desired model. Using the adiabatic theorem and Trotter error bounds, we provide sufficient conditions on the total evolution time and number of Trotter steps required for nucleation to prepare an initial state with desired fidelity. In addition, we introduce optimized nucleation which considers variational optimization on top of the nucleation structure. For a two-dimensional Ising model, we show that optimized nucleation can outperform a current leading method for state preparation on digital quantum computers.
Abstract:Quantum state preparation is crucial for quantum algorithms, and improved state preparation methods can reduce resource requirements by orders of magnitude. In this work, we introduce a state preparation method for lattice Hamiltonians on digital quantum computers inspired by nucleation. In our method, the exact ground state of a small lattice Hamiltonian is prepared in a quantum circuit, then a series of growth stages are performed via Trotterized adiabatic evolution to increase the size of the lattice to the desired model. Using the adiabatic theorem and Trotter error bounds, we provide sufficient conditions on the total evolution time and number of Trotter steps required for nucleation to prepare an initial state with desired fidelity. In addition, we introduce optimized nucleation which considers variational optimization on top of the nucleation structure. For a two-dimensional Ising model, we show that optimized nucleation can outperform a current leading method for state preparation on digital quantum computers.
arXiv:2609.37527 [quant-ph]
(or arXiv:2609.37527v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2609.37527 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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