Suppressing quantum errors by scaling a surface code logical qubit
Google (United States) · Columbia University · +8 more institutions
Abstract
Abstract Practical quantum computing will require error rates well below those achievable with physical qubits. Quantum error correction 1,2 offers a path to algorithmically relevant error rates by encoding logical qubits within many physical qubits, for which increasing the number of physical qubits enhances protection against physical errors. However, introducing more qubits also increases the number of error sources, so the density of errors must be sufficiently low for logical performance to improve with increasing code size. Here we report the measurement of logical qubit performance scaling across several code sizes, and demonstrate that our system of superconducting qubits has sufficient performance to…
Citation impact
- FWCI
- 167.30
- Percentile
- 100%
- References
- 68
Authors
158- GQGoogle Quantum AICorresponding
Google (United States)
- RARajeev Acharya
Google (United States)
- ILI. L. Aleǐner
Google (United States), Columbia University
- RMR. M. Allen
Google (United States)
- TITrond I. Andersen
Google (United States)
Topics & keywords
- Qubit
- Computer science
- Error detection and correction
- Quantum computer
- Algorithm
- Quantum error correction
- Word error rate
- Code (set theory)