May 20, 2022 - Espoo, Finland / Delft, the Netherlands - QuantWare, a leading provider of superconducting Quantum Processors,
and QuantrolOx, a leading developer of Machine Learning Based qubit control software today announced
a partnership to speed up the development of open-architecture quantum computers. This partnership
combines the unique automated machine learning based control software from QuantrolOx with
QuantWare’s scalable, affordable and customizable Quantum Processors.
By co-developing a joint solution, the companies aim to speed up the adoption of open-architecture
quantum computers. These are systems that are built using the components of various suppliers, much
like today’s computers. With the collaboration, QuantWare and QuantrolOx aim to ease the integration of
the different parts of the quantum computer stack.
Both QuantWare and QuantrolOx are on a mission to accelerate the advent of the quantum computer by
supplying essential technologies that their customers can use to build a full stack quantum computer.
“By improving the ease of integration with QuantrolOx’s software, building a full stack quantum computer
can become significantly simpler”. “We are seeing a rapid increase in the number of parties building quantum computers, and we expect this
collaboration will speed up that trend”.
Matthijs Rijlaarsdam, CEO and co-founder of QuantWare.
“We provide scalability to customers in a part of the stack that wasn’t scalable before”. “This partnership will further strengthen the quantum ecosystem, enabling innovation whilst simultaneously driving down cost tremendously”.
Vishal Chatrath, Co-Founder & CEO of QuantrolOx
QuantWare is a TU Delft / QuTech spin-out that develops, designs and fabricates scalable
superconducting quantum processors. By supplying these processors to others, QuantWare
allows others to build a quantum computer for 1/10th the cost of competing solutions. The
company develops technology that will massively scale the number of qubits in a single
processor, to create processors that can perform useful quantum computation in the near term.
The company is based in Delft, the Netherlands.
QuantrolOx is an Anglo-Finnish spinout from Oxford University using machine learning for
automated characterisation and tuning of qubits. The company 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.
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