报告摘要：Fault-tolerant quantum simulation is approaching a development phase where encoding overhead, logical Clifford operations, magic-state preparation, and rotation synthesis must be optimized together for efficient implementation. Space-Time efficient Analog Rotation (STAR) architectures reduce two of these costs by preparing small-angle rotation magic states directly, and the transversal STAR variant further lowers the Clifford overhead. Existing concrete implementations, however, largely inherit the low O(1/d^2) encoding rate of the surface code, while high-rate codes have not yet been integrated into comparably explicit computational architectures. Here, we introduce a high-rate STAR architecture for local lattice Hamiltonian simulation based on a symmetry-driven co-design of the algorithm, QEC code, and neutral-atom hardware. Translation symmetries of the target lattice determine the choice of bicycle chain codes, a tunable family of self-dual bivariate bicycle codes that natively implement Clifford gates required for lattice simulation. Disjoint logical representatives allow STAR injections to be performed in parallel on all k logical qubits in a code block, amortizing resource state preparation and enabling practical post-selection rates. On neutralatom platform, the same translation symmetry compiles the key logical operations into low-depth, hardware-native acousto-optic-deflector shifts. End-to-end estimates show that an 8×8 transversefield Ising simulation to T^* ≈ 8 (zJ)^−1 requires 2240 physical qubits and ∼200 s per shot, a ∼5.5× space reduction relative to a surface code STAR baseline at comparable speed; for Fermi–Hubbard dynamics to T^* ≈ 4 (zt)^−1, the corresponding estimates are ∼6,300 physical qubits and ∼200 s per shot. These results provide a concrete route toward early fault-tolerant quantum simulation with high-rate codes.

个人简介：Chen Zhao will join Eastern Institute of Technology, Ningbo, as an Assistant Professor in Fall 2026. He was a Senior Research Scientist at QuEra Computing. He completed a postdoctoral fellowship at Harvard University from 2022 to 2024. He earned his Ph.D. in Applied Mathematics from the University of Chinese Academy of Sciences in 2022. His research focuses on quantum error correction with a focus on practical implementations for near-term quantum devices.

邀请人：扈鸿业 hongyehu@iphy.ac.cn