How to efficiently characterize quantum computing hardware

In this quantum computing video - part of our Q-CTRL Webinar Series - Dr Michael Hush, Head of Quantum Science & Engineering, and Dr Harry Slatyer, Lead Quantum Product Engineer, will cover the following advanced quantum computing topics: 1) How to use quantum control to characterize unknown system parameters such as Rabi rates, axes of rotation for driven operations, and transmission-line band-limits. 2) How to measure the power spectrum of noise affecting your quantum devices, including special terms arising only in entangling-gate operations. 3) How to minimize spectral leakage in noise spectroscopy through properly shaped measurement pulses. 4) How to apply the novel machine-learning tools developed by the team at Q-CTRL to improve the efficiency and performance of these tasks.

How to efficiently characterize quantum computing hardware

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