Superconducting quantum processor tune-up automation

Quantum computation has the potential to revolutionize physics research and our understanding of nature. However, qubit's are susceptible to noise, requiring millions of physical qubits in quantum processing units (QPUs) to ensure robust and accurate quantum computations. At present, QPUs typically feature less than hundred qubits, and are restricted by complicated characterization and tune-up processes requiring time-consuming manual interventions.

To address these issues, we develop Quantum Edge, a software platform that streamlines QPU tune-up, offers profound insights into qubit parameters along the way, enhances chip efficiency, and accelerates qubit improvements in academia and industry.

In this talk we will demonstrate the results of our software on a 5-qubit chip with transmon qubits by QuantWare in Bluefors DL400 dilution refrigerator, and measured using QBlox and Quantum Machines control electronics. We deconstruct the qubit characterization workflow into modular blocks called control segments, this includes, resonator and qubit spectroscopy, Rabi and Ramsey measurements, single-shot readout, and single and two-qubit gate randomized benchmarking as well as the automated flux-tuning.