Multi-Level Quantum Error Correction in Scalable Quantum Computing Architectures

Authors

  • Beatrice Moretti Faculty of Information Technology, Politecnico di Milano, Milan, 20133, Italy
  • Matilde Parisi Faculty of Information Technology, Politecnico di Milano, Milan, 20133, Italy
  • Camilla Pozzi Faculty of Information Technology, Politecnico di Milano, Milan, 20133, Italy

DOI:

https://doi.org/10.64972/jaat.2023v1.311p24e:320-334

Keywords:

Multi-Level Quantum Error Correction, Scalable Quantum Computing, Logical Qubit Reliability, Stabilizer Decoding

Abstract

 Effective error correction is required to mitigate the effects of physical noise and safeguard logical qubits for fault-tolerant computation in order to realize large-scale quantum computers. Because physical gate defects, measurement mistakes, leakage errors, and correlated noise can propagate across processing levels, single-level quantum error correction is typically not appropriate for large-scale quantum structures. This research proposes a multi-level quantum error correction framework for scalable quantum computing architectures. Physical-layer syndrome extraction, logical-layer stabilizer decoding, and architecture-level error propagation control are the methods used. To minimize the buildup of logical errors in the deep circuit and under qubit connection limits, a multi-level decoding technique is employed. According to the simulation results, the suggested framework increases the fault-tolerant circuit success rate by 12.6% over single-level correction and has a logical error rate of 1.7×10⁻5 under a physical error rate of 10⁻³. According to the research, a large-scale quantum computing system can be made more reliable by utilizing many tiers of quantum error correction.

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Published

2023-10-27

How to Cite

Moretti, B., Parisi, M., & Pozzi, C. (2023). Multi-Level Quantum Error Correction in Scalable Quantum Computing Architectures. Journal of Applied Automation Technologies, 1, 24e:320–334. https://doi.org/10.64972/jaat.2023v1.311p24e:320-334

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Articles