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Fault-tolerant modular quantum computing with surface codes using single-shot emission-based hardware

Quantum Physics 2026-01-13 v1

Abstract

Fault-tolerant modular quantum computing requires stabilizer measurements across the modules in a quantum network. For this, entangled states of high quality and rate must be distributed. Currently, two main types of entanglement distribution protocols exist, namely emission-based and scattering-based, each with its own advantages and drawbacks. On the one hand, scattering-based protocols with cavities or waveguides are fast but demand stringent hardware such as high-efficiency integrated circulators or strong waveguide coupling. On the other hand, emission-based platforms are experimentally feasible but so far rely on Bell-pair fusion with extensive use of slow two-qubit memory gates, limiting thresholds to 0.16%\approx 0.16\%. Here, we consider a fully distributed surface code using emission-based entanglement schemes that generate GHZ states in a single shot, i.e., without the need for Bell-pair fusions. We show that our optical setup produces Bell pairs, W states, and GHZ states, enabling both memory-based and optical protocols for distilling high-fidelity GHZ states with significantly improved success rates. Furthermore, we introduce protocols that completely eliminate the need for memory-based two-qubit gates, achieving thresholds of 0.19%\approx 0.19\% with modest hardware enhancements, increasing to above 0.24%\approx 0.24\% with photon-number-resolving detectors. These results show the feasibility of emission-based architectures for scalable fault-tolerant operation.

Keywords

Cite

@article{arxiv.2601.07241,
  title  = {Fault-tolerant modular quantum computing with surface codes using single-shot emission-based hardware},
  author = {Siddhant Singh and Rikiya Kashiwagi and Kazufumi Tanji and Wojciech Roga and Daniel Bhatti and Masahiro Takeoka and David Elkouss},
  journal= {arXiv preprint arXiv:2601.07241},
  year   = {2026}
}

Comments

38 pages, 14 figures

R2 v1 2026-07-01T09:00:09.480Z