Interleaved Randomized Benchmarking (IRB)

Motivation

The Interleaved Randomized Benchmarking (IRB) protocol was proposed in 2012 by E. Magesan et al. [1] after the multi-qubits Clifford Randomized Benchmarking protocol. The IRB aims to evaluate the average error rate of individual Clifford gates, which was impossible with the multi-qubit CRB method.

Protocol

The protocol consists of two experiments. The first experiment consists of running a multi-qubit CRB to extract the decay parameter \(\alpha_\mathrm{crb}\) and the corresponding Error Per Clifford \(r_\mathrm{crb}\). The following figure recalls the circuit corresponding to the multi-qubit CRB protocol:

Quantum circuit associated to the multi-qubit clifford randomized benchmarking protocol

The second experiment aims to evaluate the error rate of the n-qubit Clifford gate of interest \(G\). The gate \(G\) is interleaved with random \(n\)-qubit Clifford gates \(g_1\) up to \(g_l\). The final gate \(g_\mathrm{end}\) aims to reverse the complete sequence of gates.

Quantum circuit associated to the multi-qubit clifford randomized benchmarking protocol

This second experiment aims to extract the decay parameter \(\alpha_\mathrm{irb}\) and the corresponding error rate \(r_\mathrm{irb}\). In practise, \(\alpha_\mathrm{irb}\) should decay faster than \(\alpha_\mathrm{crb}\) due to the additional inserted gates \(G\). The infidelity \(r_\mathrm{G}\) of the gate \(G\) is then estimated as:

\[r_\mathrm{G} = r_\mathrm{crb} - r_\mathrm{irb}.\]

This method also permits to extract bounds on the true error rate of \(G\) \(\epsilon_\mathrm{G}\) (see. equation 5 of [1]).

Assumptions

Limitations

Extensions

The IRB protocol has been extended to other gates that are not from the Clifford group [2] [3].

References

  1. [1]E. Magesan et al., “Efficient measurement of quantum gate error by interleaved randomized benchmarking,” Physical review letters, vol. 109, no. 8, p. 080505, 2012.
  2. [2]R. Harper and S. T. Flammia, “Estimating the fidelity of T gates using standard interleaved randomized benchmarking,” Quantum Science and Technology, vol. 2, no. 1, p. 015008, 2017.
  3. [3]S. Garion et al., “Experimental implementation of non-Clifford interleaved randomized benchmarking with a controlled-S gate,” Physical Review Research, vol. 3, no. 1, Mar. 2021, doi: 10.1103/physrevresearch.3.013204. [Online]. Available at: http://dx.doi.org/10.1103/PhysRevResearch.3.013204