QuantrolOx uses machine learning to control qubits – TechCrunch

QuantrolOx, a new startup that was spun out of Oxford University last year, wants to use machine learning to control qubits inside of quantum computers. The company, which was co-founded by Oxford professor Andrew Briggs, tech entrepreneur Vishal Chatrath, the company's chief scientist Natalia Ares and head of quantum technologies Dominic Lennon, today announced that it has raised a £1.4 million (or about $1.9 million) seed funding round led by Nielsen Ventures and Hoxton Ventures. Voima Ventures, Remus Capital, Dr. Hermann Hauser and Laurent Caraffa also invested in the round. The company's technology is technology-agnostic, and could be applied to all of the standard quantum computing technologies. The idea here is that instead of going through a slow manual tuning process, QuantrolOx's system will be able to tune, stabilize and optimize qubits significantly faster.