Experimental implementation of non-Clifford interleaved randomized benchmarking with a controlled-S gate
Shelly Garion, Naoki Kanazawa, Haggai Landa, David C. McKay, Sarah, Sheldon, Andrew W. Cross, Christopher J. Wood

TL;DR
This paper demonstrates the calibration and benchmarking of a non-Clifford controlled-S gate on IBM Quantum hardware, achieving low error rates close to the coherence limit using interleaved randomized benchmarking.
Contribution
It introduces a method for calibrating a non-Clifford two-qubit gate and measures its error using a specialized benchmarking technique, showing improved performance over standard gates.
Findings
Achieved a gate error of approximately 0.0059.
The calibrated CS gate's error is close to the qubits' coherence limit.
The non-Clifford gate outperforms the standard CNOT gate in error rate.
Abstract
Hardware efficient transpilation of quantum circuits to a quantum devices native gateset is essential for the execution of quantum algorithms on noisy quantum computers. Typical quantum devices utilize a gateset with a single two-qubit Clifford entangling gate per pair of coupled qubits, however, in some applications access to a non-Clifford two-qubit gate can result in more optimal circuit decompositions and also allows more flexibility in optimizing over noise. We demonstrate calibration of a low error non-Clifford Controlled- phase (CS) gate on a cloud based IBM Quantum computing using the Qiskit Pulse framework. To measure the gate error of the calibrated CS gate we perform non-Clifford CNOT-Dihedral interleaved randomized benchmarking. We are able to obtain a gate error of at a gate length 263 ns, which is close to the coherence limit of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Parallel Computing and Optimization Techniques
