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QuantrolOx Raises €12 Million to Scale Quantum-Control Software
The Oxford spinout raised a €12 million Series A led by IW Capital, with the EIC Fund and Transpose Capital also investing. QuantrolOx says it will use the funding to accelerate commercial growth and expand in North America.
Quantum.world Team · Written with AI · fact-checked ·
“Every industry is built on its tools and its people.”
Vishal Chatrath, QuantrolOx co-founder and chief executive, says
IW Capital leads QuantrolOx’s €12 million round
QuantrolOx raised €12 million in a Series A announced on October 22, with IW Capital leading the round and the European Innovation Council (EIC) Fund also participating. Transpose Capital also invested, according to Tech.eu. The Oxford University spinout, headquartered in Finland, develops software to automate the tuning and control of quantum computers. Its platform, Quantum EDGE, uses machine learning and is designed to work across different hardware.
The company plans to use the new capital to accelerate commercial growth and expand in North America. IW Capital’s announcement says the funding will support that growth following the opening of QuantrolOx’s Berkeley office and a five-year partnership with the University of California, Berkeley. QuantrolOx says tuning is a bottleneck: quantum processors need carefully adjusted settings to operate, and its software is designed to work across different hardware architectures.
Why quantum computers need tuning software
Operating a quantum processor involves finding settings that let its physical components perform as intended. The adjustment process can demand specialist time, and the right settings depend on the device. QuantrolOx’s proposition is to automate parts of that work through machine-learning software, rather than require every tuning task to be carried out by hand.
A research result cited in connection with the company dates to 2020. In a paper on gate-defined quantum-dot devices, researchers demonstrated fully automated tuning of two devices to double quantum-dot regimes in a gate-voltage space of up to eight dimensions. The paper reports expected tuning in under 70 minutes, a result that exceeded a human benchmark. It does not describe that figure as a median tuning time. The experiment is a specific research result, not evidence that every type of quantum computer can be tuned in that time.
From an Oxford research result to commercial deployment
The founding team links the company to Oxford’s quantum research community. Tech.eu identifies Vishal Chatrath as chief executive, Andrew Briggs as an emeritus professor of nanomaterials at Oxford, Natalia Ares as an Oxford research fellow, and Dominic Lennon as chief product officer. IW Capital says QuantrolOx products are powering labs at UC Berkeley and Academia Sinica in Taiwan, and notes a recent Q-Hub launch with Manipal Academy of Higher Education in India.
For hardware developers, tuning software addresses an operational challenge distinct from improving qubits or building larger processors: keeping a machine configured to run experiments and workloads. QuantrolOx is selling tools for that layer of operation, with a stated aim of supporting different quantum hardware designs. The round follows earlier backing from Hoxton Ventures and Arm co-founder Hermann Hauser, according to Tech.eu. The funding announcement identifies IW Capital and the EIC Fund as participants.