# Network-Integrated Decoding System for Real-Time Quantum Error Correction with Lattice Surgery

arXiv: https://arxiv.org/abs/2504.11805 · HTML: https://mlsanity.com/paper/2504.11805/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Apr 2025.

## Built on by (most cited first, 1 of 1)

- [Measurement-Free Ancilla Recycling via Blind Reset: A Cross-Platform Study on Superconducting and Trapped-Ion Processors](https://mlsanity.com/paper/2603.08733/) (2026)

## Abstract (arXiv)

Existing real-time decoders for surface codes are limited to isolated logical qubits and do not support logical operations involving multiple logical qubits. We present DECONET, a first-of-its-kind decoding system that scales to thousands of logical qubits and supports logical operations implemented through lattice surgery. DECONET organizes compute resources in a network-integrated hybrid tree-grid structure, which results in minimal latency increase and no throughput degradation as the system grows. Specifically, DECONET can be scaled to any arbitrary number of l logical qubits by increasing the compute resources by O(l × log(l)), which provides the required O(l) growth in I/O resources while incurring only an O(log(l)) increase in latency-a modest growth that is sufficient for thousands of logical qubits. Moreover, we analytically show that the scaling approach preserves throughput, keeping DECONET backlog-free for any number of logical qubits. We report an exploratory prototype of DECONET, called DECONET/HELIOS, built with five VMK-180 FPGAs, that successfully decodes 100 logical qubits of distance five. For 100 logical qubits, under a phenomenological noise rate of 0.1%, the DECONET/HELIOS has an average latency of 2.40 μs and an inverse throughput of 0.84 μs per measurement round.