LATTE: A Decoding Architecture for Quantum Computing with Temporal and Spatial Scalability
Published in arXiv, 2025
Abstract
Quantum error correction allows inherently noisy quantum devices to emulate an ideal quantum computer with reasonable resource overhead. As a crucial component in developing fault-tolerant quantum computers, decoding architectures — designed to effectively manage a large number of physical qubits to ensure reliable computation — have received significant attention recently, amid rapid advances in quantum hardware.
In this paper, we introduce LATTE, an FPGA-CPU hybrid decoding architecture aiming to address the key requirements of scaling up, especially in lattice surgery quantum computation — Latency, Accuracy, Throughput and Transmission Bandwidth, in an Eclectic manner. LATTE follows a hierarchical design: (1) A fully streaming and asynchronous block decoding system on CPU to enable parallelization both temporally and spatially. (2) An ultra-lightweight yet accurate neural local decoding unit integrated with quantum control hardware on FPGA, which remains transparent to the block decoding system, effectively reducing transmission bandwidth and accelerating the decoding process.
Recommended citation: Zhang, K., Xu, J., Zhang, F., Kong, L., Ji, Z., & Chen, J. (2025). LATTE: A Decoding Architecture for Quantum Computing with Temporal and Spatial Scalability. arXiv preprint arXiv:2509.03954.
Download Paper | Download Slides | Download Bibtex