Below-threshold error reduction in single photons through photon distillation
F. H. B. Somhorst, J. Saied, N. Kannan, B. Kassenberg, J. Marshall, M. de Goede, H. J. Snijders, P. Stremoukhov, A. Lukianenko, P. Venderbosch, T. B. Demille, A. Roos, N. Walk, J. Eisert, E. G. Rieffel, D. H. Smith, J. J. Renema

TL;DR
This paper demonstrates a scalable photon distillation method that reduces indistinguishability errors in photonic quantum computers, offering a resource-efficient alternative to quantum error correction for fault-tolerant quantum computing.
Contribution
The authors experimentally implement and validate photon distillation as an efficient, coherent error mitigation technique that surpasses quantum error correction in reducing errors in photonic quantum systems.
Findings
Unconditional error reduction below the fault-tolerance threshold.
Photon distillation achieves higher efficiency and threshold than quantum error correction.
Net-gain error mitigation demonstrated under realistic noise conditions.
Abstract
Photonic quantum computers use the bosonic statistics of photons to construct, through quantum interference, the large entangled states required for measurement-based quantum computation. Therefore, any which-way information present in the photons will degrade quantum interference and introduce errors. While quantum error correction can address such errors in principle, it is highly resource-intensive and operates with a low error threshold, requiring numerous high-quality optical components. We experimentally demonstrate scalable, optimal photon distillation as a substantially more resource-efficient strategy to reduce indistinguishability errors in a way that is compatible with fault-tolerant operation. Photon distillation is an intrinsically bosonic, coherent error-mitigation technique which exploits quantum interference to project single photons into purified internal states,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum Mechanics and Applications
