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Non-Clifford Fusion: T-Gate Optimization for Quantum Simulation

Quantum Physics 2025-10-16 v1

Abstract

Hamiltonian simulation is a key quantum algorithm for modeling complex systems. To implement a Hamiltonian simulation, it is typically decomposed into a list of Pauli strings, each corresponds to an RZ rotation gate with many Clifford gates. These RZ gates are generally synthesized into a sequence of Clifford and T gates in fault-tolerant quantum computers, where the T-gate count and T-gate depth are critical metrics for such systems. In this paper, we propose NCF, a compilation framework that reduces both the T-gate count and T-gate depth for Hamiltonian simulation. NCF partitions Pauli strings into groups, where each group can be conjugated (i.e., transformed) into a list of Pauli strings that apply quantum gates on a restricted subset of qubits, allowing for simultaneous synthesis of the whole group and reducing both T-gate count and depth. Experimental results demonstrate that NCF achieves an average reduction of 57.4%, 49.1%, and 49.0% in T-gate count, T-gate depth, and Clifford count, respectively, compared to the state-of-the-art method.

Keywords

Cite

@article{arxiv.2510.13573,
  title  = {Non-Clifford Fusion: T-Gate Optimization for Quantum Simulation},
  author = {Yingheng Li and Xulong Tang and Paul Hovland and Ji Liu},
  journal= {arXiv preprint arXiv:2510.13573},
  year   = {2025}
}
R2 v1 2026-07-01T06:39:00.555Z