Related Experiment Video
Updated: May 4, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor
Published on: November 12, 2013
Fault-tolerant quantum computation with a soft-decision decoder for error correction and detection by teleportation.
Hayato Goto1, Hironori Uchikawa2
1Frontier Research Laboratory, Corporate Research & Development Center, Toshiba Corporation, 1 Komukai Toshiba-cho, Saiwai-ku, Kawasaki-shi, 212-8582, Japan.
We developed a new soft-decision decoder for quantum error correction, significantly improving fault-tolerant quantum computation resource efficiency. This breakthrough enhances quantum computing
Area of Science:
- Quantum Information Science
- Quantum Computing
- Quantum Error Correction
Background:
- Fault-tolerant quantum computation relies on quantum error-correcting codes.
- Significant challenges remain in resource requirements for quantum error correction.
Purpose of the Study:
- To propose a novel soft-decision decoder for quantum error correction and detection via teleportation.
- To improve the performance and reduce resource overhead of fault-tolerant quantum computation schemes.
Main Methods:
- Developed a soft-decision decoder tailored for quantum error correction and detection by teleportation.
- Applied the new decoder to Knill's C4/C6 scheme, a leading fault-tolerant quantum computation protocol.
Main Results:
- The proposed decoder achieves near-optimal performance for depolarizing channels.
- Significant performance enhancement and dramatic resource reduction were observed when applied to Knill's C4/C6 scheme.
Conclusions:
- The soft-decision decoder offers a substantial improvement for fault-tolerant quantum computation.
- This advancement addresses critical resource limitations in current quantum computing architectures.
Related Concept Videos
Improving Translational Accuracy
Woodward–Hoffmann Selection Rules and Microscopic Reversibility
Types of Errors: Detection and Minimization
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
Propagation of Uncertainty from Random Error
Propagation of Uncertainty from Systematic Error
Detection of Gross Error: The Q Test

