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  3. Improved Quantum Processor Logical Error Rates Via Correction And Detection.
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  3. Improved Quantum Processor Logical Error Rates Via Correction And Detection.

Related Experiment Video

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Improved quantum processor logical error rates via correction and detection.

A Paetznick1, B W Reichardt1, M P da Silva1

  • 1Microsoft Quantum, Redmond, WA, USA.

Nature
|June 10, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Researchers demonstrated significant improvements in quantum error correction, reducing logical error rates by up to 800x on a trapped-ion quantum computer. This advancement is crucial for fault-tolerant quantum computation in physics and chemistry.

Related Experiment Videos

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

  • Quantum Computing
  • Quantum Information Science
  • Error Correction

Background:

  • Performing complex quantum algorithms requires significantly lower error rates than current quantum computers achieve.
  • Achieving low logical error rates necessitates quantum error correction and physical error rates below a critical threshold.

Purpose of the Study:

  • To experimentally demonstrate improvements in logical error rates using quantum error correction on a trapped-ion quantum computer.
  • To showcase the effectiveness of optimized quantum error correction codes for ion-trap processors.

Main Methods:

  • Utilized a trapped-ion quantum charge-coupled device (QCCD) architecture.
  • Implemented two optimized quantum error correction codes: a 12-qubit code and a 16-qubit tesseract colour code.
  • Employed a scalable method for error detection and post-selection.

    • Main Results:

    • Achieved logical error rate improvements ranging from 11× to 800× compared to physical circuit baselines.
    • Demonstrated successful suppression of errors in non-trivial quantum circuit computations.
    • Showcased the practical application of fault tolerance in current quantum devices.

    Conclusions:

    • State-of-the-art quantum devices can leverage fault tolerance and error correction to significantly reduce errors.
    • Optimized quantum error correction codes and techniques are effective in improving logical error rates.
    • Experimental validation paves the way for more reliable quantum computation in critical applications.