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News

Oxford spin-out automates the tuning that slows quantum computers

QuantrolOx has raised €12M to automate quantum hardware tuning it says outperforms the best human benchmark.

Techflier Staff
Last updated: October 23, 2026 12:19 am
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Oxford spin-out automates the tuning that slows quantum computers
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Getting a quantum computer to run well takes hours of hand tuning. QuantrolOx has raised €12M to automate the job.

Headquartered in Finland and spun out of Oxford, the Anglo-Finnish company closed a Series A whose largest cheque came from IW Capital. The European Innovation Council Fund and Transpose Capital joined in. Earlier money came from Hoxton Ventures and Hermann Hauser, who co-founded Arm.

Seventy minutes instead of a specialist’s day

Chatrath frames the company as tooling for an emerging sector. “Every industry is built on its tools and its people,” he said, describing QuantrolOx as laying foundations that industrialize quantum hardware and train the people to run it. With IW Capital and the EIC Fund aboard, he argues the firm is setting standards and shortening the road to practical machines.

The product calibrates and drives qubits regardless of which architecture a vendor picks. In published research its machine learning routines brought devices into tune in under 70 minutes, beating the strongest human result.

Founders include chief executive Vishal Chatrath, a former Nokia executive, Oxford nanomaterials professor Andrew Briggs, research fellow Natalia Ares and chief product officer Dominic Lennon, who built the platform after his doctorate at Oxford.

Vendors keep packing more qubits onto chips, yet the upkeep of keeping them calibrated has become a real ceiling on how much useful work a machine delivers. Automating that layer is the industrialisation step classical computing took decades ago.

The funding goes to commercial growth, including a push into the United States, where most quantum hardware makers are based.

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TAGGED:deep techFinlandmachine learningOxfordquantum computingSeries A
SOURCES:Source
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