Error-robust quantum logic optimization using a cloud quantum computer interface
Andre R. R. Carvalho, Harrison Ball, Michael J. Biercuk, Michael R., Hush, Felix Thomsen

TL;DR
This paper demonstrates the design and deployment of error-robust single-qubit gates on a cloud quantum computer, significantly reducing coherent errors and improving calibration stability through numerically-optimized pulses.
Contribution
It introduces a method for creating robust quantum control pulses using a flexible optimization framework, outperforming default hardware pulses in real experiments.
Findings
Up to 10x reduction in single-qubit gate coherent errors
Up to 12x increase in calibration stability duration
Error rates consistent with T1 limits and reduced error variability
Abstract
We describe an experimental effort designing and deploying error-robust single-qubit operations using a cloud-based quantum computer and analog-layer programming access. We design numerically-optimized pulses that implement target operations and exhibit robustness to various error processes including dephasing noise, instabilities in control amplitudes, and crosstalk. Pulse optimization is performed using a flexible optimization package incorporating a device model and physically-relevant constraints (e.g. bandwidth limits on the transmission lines of the dilution refrigerator housing IBM Quantum hardware). We present techniques for conversion and calibration of physical Hamiltonian definitions to pulse waveforms programmed via Qiskit Pulse and compare performance against hardware default DRAG pulses on a five-qubit device. Experimental measurements reveal default DRAG pulses exhibit…
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.
