Scalable randomized benchmarking of quantum computers using mirror circuits

Understand

The performance of quantum gates is often assessed using some form of randomized benchmarking.

• However, the existing methods become infeasible for more than approximately five qubits.
• Here we show how to use a simple and customizable class of circuits -- randomized mirror circuits -- to perform scalable, robust, and flexible randomized benchmarking of Clifford gates.
• We show that this technique approximately estimates the infidelity of an average many-qubit logic layer, and we use simulations of up to 225 qubits with physically realistic error rates in the range 0.1-1% to demonstrate its scalability.