Building Machine Learning Based Software for Quantum Control
A practically useful quantum computer will need many thousands of qubits – the fundamental building blocks of quantum computers. Due to imperfections in control instruments, fabrication and design, qubits have subtle variations requiring different sets of control parameters to render each one usable. The task of successfully tuning many thousands of qubits, regardless of their variability, requires intelligent automation.
QuantrolOx is building automated machine learning based control software for quantum technologies to tune, stabilise, and optimise qubits. QuantrolOx’s software is technology agnostic and applicable to all types of quantum technologies, however initially the company is targeting solid-state qubits where the team has already demonstrated substantial practical benefits.