Abstract

Automated calibration is now a necessity for any team working with quantum computing hardware, from research labs developing new QPU designs to HPC centres operating full stack devices. Given the dynamic nature of the field, flexibility and customisability of the software framework is critical to allow quantum engineering teams to move fast while maintaining the stability and scalability of their calibration process. We present QruiseOS [1] as a unified solution for fast calibration and in-depth characterisation of a broad variety of QPU modalities. It includes a flexible automation framework that allows selective execution of specific experiments, multi-stage workflows, looping of individual or groups of tasks, conditional logic, adaptive error handling, fully parallelised execution etc all accessible programmatically, through a CLI or through a GUI. For a fully optimised and scalable bring-up, it's crucial to also consider control hardware capabilities - such as real-time discrimination, active reset, number of available oscillators, digital filters, and available real-time variable memory - when implementing the measurement routines. We discuss results (over 99% 1Q gates and over 98% 2Q gates) from integrating the QruiseOS framework with control electronics from Qblox, Quantum Machines and Zurich Instruments connected to both research grade as well as production QPUs from manufacturers such as Quantware & Rigetti (superconducting) and XeedQ (NV centres in diamond).

References:

[1] https://www.qruise.com/products/qruise-os

Slides are available online here.

Authors:
Anurag Saha Roy (Qruise)
Alastair Marshall (Qruise)
Albert Hertel (Qruise)
Ana Gramajo (Qruise)
Deepak Khurana (Qruise)
Marc Bernot (Qruise)
Roman Razilov (Qruise)
Satyanarayana Bade (Qruise)
Tobias Sjölander (Qruise)
Yannick Seis (Qruise)
Yousof Mardoukhi (Qruise)
Benjamin Habié (Qruise)
Paweł Należyty (Qruise)
Julian Treutler (Qruise)
Shai Machnes (Qruise)