1. Learning time-dependent noise to reduce logical errors: real time error rate estimation in quantum error correction
- Author
-
Ying Li and Ming-Xia Huo
- Subjects
Physics ,Protocol (science) ,Quantum Physics ,FOS: Physical sciences ,General Physics and Astronomy ,01 natural sciences ,Noise (electronics) ,010305 fluids & plasmas ,symbols.namesake ,Quantum error correction ,Probability of error ,0103 physical sciences ,symbols ,Code (cryptography) ,Time error ,Quantum Physics (quant-ph) ,010306 general physics ,Error detection and correction ,Gaussian process ,Algorithm - Abstract
Quantum error correction is important to quantum information processing, which allows us to reliably process information encoded in quantum error correction codes. Efficient quantum error correction benefits from the knowledge of error rates. We propose a protocol for monitoring error rates in real time without interrupting the quantum error correction. Any adaptation of the quantum error correction code or its implementation circuit is not required. The protocol can be directly applied to the most advanced quantum error correction techniques, e.g. surface code. A Gaussian processes algorithm is used to estimate and predict error rates based on error correction data in the past. We find that using these estimated error rates, the probability of error correction failures can be significantly reduced by a factor increasing with the code distance., Comment: 11 pages, 5 figures and 2 tables
- Published
- 2017