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QuantWare and QuantrolOx Partner to Speed up Development of Open-architecture Quantum Computers

QuantWare and QuantrolOx Partner to Speed up Development of Open-architecture Quantum Computers

PRESS RELEASE — 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”  said Matthijs Rijlaarsdam, CEO and co-founder of QuantWare. “We are seeing a rapid increase in the number of parties building quantum computers, and we expect this collaboration will speed up that trend”

“We provide scalability to customers in a part of the stack that wasn’t scalable before” says QuantrolOx CEO Chatrath. “This partnership will further strengthen the quantum ecosystem, enabling innovation whilst simultaneously driving down cost tremendously”.

About QuantWare
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.

About QuantrolOx
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.

The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

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What: GenMat Webinar

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Jake Vikoren

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Deep Prasad

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Matt Swayne

With a several-decades long background in journalism and communications, Matt Swayne has worked as a science communicator for an R1 university for more than 12 years, specializing in translating high tech and deep tech for the general audience. He has served as a writer, editor and analyst at The Quantum Insider since its inception. In addition to his service as a science communicator, Matt also develops courses to improve the media and communications skills of scientists and has taught courses. [email protected]

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The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Jake Vikoren

Jake Vikoren

Company Speaker

Deep Prasad

Deep Prasad

Company Speaker

Araceli Venegas

Araceli Venegas

Company Speaker

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