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FPGA-Based Hardware Architecture for Real-Time Decoding of Quantum LDPC Codes Using GARI

The architecture for the DX, DZ decoder. Memory elements shown in blue (light for RAM, dark for ROM). I/O in purple. Sub-modules in gray.

Researchers from the IMDEA Software Institute, Nokia Bell Labs, the Complutense University of Madrid, Aalto University, and Quobly have developed an FPGA-based hardware architecture for the real-time decoding of quantum LDPC codes. Published on ArXiv, the design manages correlated error arrays within a structural layout optimized for latency, physical area, and power consumption. The architecture utilizes targeted resource reuse loops rather than unrestricted hardware parallelization to process complex multi-qubit syndromic dependencies, addressing classical computational processing bottlenecks that challenge the physical scaling of the quantum error correction (QEC) layer.