Error-structure-tailored early fault-tolerant quantum computing
Error-structure-tailored early fault-tolerant quantum computing
Post Date
December 23, 2025
Centers
Topic
Schedule
Date
December 26, 2025, 10 am (Taipei time)
Speaker
Pei Zeng
Affiliation
Institute of Natural Science, Shanghai Jiao Tong University
Reference
Abstract
Fault tolerance is widely regarded as indispensable for achieving scalable and reliable quantum computing. However, the spacetime overhead required for fault-tolerant quantum computating remains prohibitively large. A critical challenge arises in many quantum algorithms with Clifford + \varphi compiling, where logical rotation gates R_{Z_L}(\varphi) serve as essential components. The Eastin-Knill theorem prevents their transversal implementation in quantum error correction codes and necessitating resource-intensive workarounds through T-gate compilation combined with magic state distillation and injection. In this work, we consider error-structure-tailored fault tolerance, where fault-tolerance conditions are analyzed by combining perturbative analysis of realistic dissipative noise processes with the structural properties of stabilizer codes. Based on this framework, we design 1-fault-tolerant continuous-angle rotation gates in stabilizer codes, implemented via dispersive-coupling Hamiltonians. Our approach could circumvent the need for T-gate compilation and distillation, offering a hardware-efficient solution that maintains simplicity, minimizes physical footprint, and requires only nearest-neighbor interactions. Integrating with recent small-angle-state preparation techniques, we can suppress the gate error to 91|\varphi| p^2 for small rotation angle (where p denotes the physical error rate). For current achievable hardware parameters (p=10^{-3}), this enables reliable execution of over 10^7 small-angle rotations when |\varphi|\approx 10^{-3}, meeting the requirements of many near-term quantum applications. Compared to the 15-to-1 magic state distillation and magic state cultivation approaches, our method reduces spacetime resource costs by factors of 1337.5 and 43.6, respectively, for a Heisenberg Hamiltonian simulation task under realistic hardware assumptions.
Personal information
Pei Zeng is currently a tenure-track associate professor at Institute of Natural Science, Shanghai Jiao Tong University. Prior to this, he was a postdoctoral researcher at the University of Chicago from 2021 to 2025 and a visiting scholar at the University of Science and Technology of China in 2021. He completed a Ph.D. and B.Sc. at Tsinghua University (2020) and Nanjing University (2016), respectively. He also serves as an editor for Quantum Journal.
Reference