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Real-time algorithmic decoding

ORAL

Abstract

The ability to perform quantum error correction in real-time is essential for large-scale fault tolerant quantum computations. The process of decoding quantum error correction syndromes relies on a classical co-processor, performing a decoder procedure to produce corrections. Determining these corrections quickly is crucial for running logical algorithms, as they must be determined within the coherence time of the logical qubits. Furthermore, these decoders become increasingly computationally complex as the distance of the quantum error correcting code grows, creating a tradeoff between speed and performance. Here we present on the first demonstration of a real-time algorithmic decoder on a quantum error correction code. Utilizing the unique capabilities of Quantinuum’s System Model H1 machine, we perform fast and scalable decoding on the surface code. These results mark a step forward in benchmarking fast, scalable, and real-time decoding strategies.

Presenters

  • Natalie C Brown

    Quantinuum

Authors

  • Natalie C Brown

    Quantinuum