High-rate qLDPC processors
Abstract
Despite significant progress on quantum low-density parity-check (qLDPC) codes, building qLDPC processors that are high-rate, high-throughput, hardware-friendly, and fast-to-decode remains a challenge. We introduce mitten codes, a family of qLDPC processor codes of encoding rate and check weight , based on non-abelian groups. Their non-abelian structure evades distance bounds constraining abelian counterparts, allowing mitten codes to reach distance and beyond with just a few hundred data qubits. The logical operators of a mitten code are related by the group action, yielding a modular, low-overhead logical toolkit: full Clifford operations follow from bridging two reusable seed surgery gadgets or from a single fixed extractor. Furthermore, qLDPC processors based on mitten codes support high-rate surgery that executes many logical measurements in parallel, and parallel magic-state injection into all logical qubits at once. Under circuit-level noise, with our fast decoder, the mitten code achieves, without extrapolation, a block logical error rate of per round at physical error rate (PER), while the code reaches at PER. Decoding billion surgery experiments on the code at PER, we observe only two logical failures, demonstrating a qLDPC processor capable of running logical operations. Our decoder is compatible with sub-millisecond average latency per logical cycle, sufficient for real-time decoding on neutral atom hardware. Discovered by an end-to-end design pipeline built on sQetch, a distance estimator orders of magnitude faster than existing tools, and mapping efficiently onto near-term neutral atom and superconducting hardware, mitten codes open a practical path toward fault-tolerant quantum computation.
Cite
@article{arxiv.2607.28795,
title = {High-rate qLDPC processors},
author = {Aditya Bhardwaj and Muzhou Ma and Nadine Meister and Robbie King and Dolev Bluvstein and John Preskill and Madelyn Cain and Qian Xu and Hsin-Yuan Huang},
journal= {arXiv preprint arXiv:2607.28795},
year = {2026}
}
Comments
13 pages main text + 73 pages appendix; 13 figures