Year: 2026
Type: article
Abstract: High-fidelity logical magic states are a critical resource for fault-tolerant quantum computation, enabling non-Clifford logical operations through state injection. However, benchmarking these states presents significant challenges: one must estimate the infidelity ε with multiplicative precision, while many quantum error-correcting codes only permit Clifford operations to be implemented fault-tolerantly. Consequently, conventional state tomography requires ∼1/ε^{2} samples, making benchmarking impractical for high-fidelity states. In this Letter, we show that any benchmarking scheme measuring one copy of the magic state per round necessarily requires Ω(1/ε^{2}) samples for single-qubit magic states. We then propose two approaches to overcome this limitation: (i) Bell measurements on two copies of the twirled state and (ii) single-copy schemes leveraging twirled multiqubit magic states. Both benchmarking schemes utilize measurements with stabilizer states orthogonal to the ideal magic state and we show that O(1/ε) sample complexity is achieved, which we prove to be optimal. Finally, we demonstrate the robustness of our protocols through numerical simulations under realistic noise models, confirming that their advantage persists even at the moderate error rates currently achievable in state-of-the-art experiments.
Source: Physical Review Letters
DOI: 10.1103/fwjt-mw2c
Authors: Su-un Lee, Ming Yuan, Senrui Chen, Kento Tsubouchi, Liang Jiang
Institutions: University of Chicago, The University of Tokyo
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funders: National Science Foundation, David and Lucile Packard Foundation, University of Chicago, Kwanjeong Educational Foundation, Defense Advanced Research Projects Agency, Japan Science and Technology Agency, Exploratory Research for Advanced Technology, Air Force Office of Scientific Research, Army Research Office
Awards: G1404049065, QuSeC-TAQS: Nanoscale Covariance Magnetometry with Diamond Quantum Sensors, G1770500108, G1932254719, G2493344581, G2882288540, QuIC - TaQS: Interconnects for a Superconducting-Atomic Hybrid Quantum Network, G4848018484, G6518383159, NSF Engineering Research Center for Quantum Networks (CQN), G7796153478, Collaborative Research: FET: Medium: Design and Implementation of Quantum Databases, G8672390710, ExpandQISE: Track 2: Developing Quantum Information Science and Engineering Research and Education Program at FAMU
OpenAlex ID: W4415198203
