Stabilizer Tensor Networks with Magic State Injection
This Letter augments the recently introduced stabilizer tensor network (STN) protocol with magic state injection, reporting a new framework with significantly enhanced ability to simulate circuits with an extensive number of non-Clifford operations. Specifically, for random T-doped N-qubit Clifford circuits the computational cost of circuits prepared with magic state injection scales as O[poly(N)] when the circuit has t≲N T gates compared to an exponential scaling for the STN approach, which is demonstrated in systems of up to 200 qubits. In the case of the hidden bit shift circuit, a paradigmatic benchmarking system for extended stabilizer methods with a tunable amount of magic, we report that our magic state injected STN framework can efficiently simulate 4000 qubits and 320T gates. These findings provide a promising outlook for the use of this protocol in the classical modeling of quantum circuits that are conventionally difficult to simulate efficiently.
Authors
- Muhammad Usman (ORCID: https://orcid.org/0000-0003-3476-2348)
- M. E. Sevior (ORCID: https://orcid.org/0000-0002-4824-101X)
- Maxwell T. West (ORCID: https://orcid.org/0000-0002-4500-3139)
- B. Harper
- Neil Dowling (ORCID: https://orcid.org/0000-0002-4502-5960)
- Thomas Quella (ORCID: https://orcid.org/0000-0002-5441-4124)
- Azar C. Nakhl (ORCID: https://orcid.org/0000-0002-0296-8379)
Institutions
- The University of Melbourne (AU)
- Australian Regenerative Medicine Institute (AU)
- Data61 (AU)
- Monash University (AU)
Publication Details
- Journal
- Physical Review Letters
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1103/physrevlett.134.190602
- Citations
- 11
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 27.29
Funders
- Australian Government
- University of Melbourne