Learning correlated noise in a 39-qubit quantum processor

Understand

Building error-corrected quantum computers relies crucially on measuring and modeling noise on candidate devices.

• In particular, optimal error correction requires knowing the noise that occurs in the device as it executes the circuits required for error correction.
• As devices increase in size we will become more reliant on efficient models of this noise.
• However, such models must still retain the information required to optimize the algorithms used for error correction.