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Quantum Machines and Hamamatsu Photonics Team Up for Enhanced Quantum Computing Control

quantummachines hahamatsu

Insider Brief

  • Quantum Machines announced the integration of its advanced OPX quantum controller with Hamamatsu’s high-speed ORCA® -Quest camera.
  • The combined solution provides ultra-fast camera readout capabilities for cold atoms and trapped-ions qubits.
  • Officials from the company said the integration pushes the boundaries of quantum computation, communication and sensing.

PRESS RELEASE — Quantum Machines (QM), the leading provider of processor-based quantum controllers™ today announced the integration of its advanced OPX quantum controller with Hamamatsu’s high-speed ORCA® -Quest camera. The collaboration between Quantum Machines and Hamamatsu pushes the boundaries of quantum computation, communication and sensing.

Key Advantages:

  • Real-time Image Processing: The solution achieves a groundbreaking image processing speed of less than 1 µs per atom/ion, offering quantum researchers unprecedented control over their experiments.

  • Seamless OPX Integration: The integration with QM’s OPX facilitates effortless programming using the QUA language, ensuring feedback times below 100 µs, not including camera exposure and related delays.

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  • Trusted and Proven: The system’s reliability is evidenced by its adoption in prestigious laboratories and by leading quantum computing adopters globally.

Compatibility and Performance:

  • OPX+ supports Camera Link and CoaXPress interfaces and is compatible with leading quantitative CMOS (qCMOS) cameras such as Hamamatsu’s.

  • The Hamamatsu ORCA-Quest offers enhanced scalability thanks to its smaller pixel size and higher resolution. This improvement allows for the utilization of more compact optical configurations while also increasing the number of detectable samples.

  • The solution guarantees real-time, deterministic frame acquisition and image processing, with typical latencies under 1 µs per atom/ion for a designated pixel region.

“The collaboration between QM and Hamamatsu is a game-changer, enhancing the precision and speed of quantum measurements,” said Itamar Sivan co-founder and CEO of Quantum Machines. “This synergy between our technologies paves the way for advancements in quantum computing, bringing us closer to realizing its full potential. We’re not just enhancing our system’s capabilities; we’re redefining the boundaries of what’s possible in quantum research.”

“Hamamatsu is highly enthusiastic about the potential of photonics in the quantum world as a leading photonics company. Our collaboration with Quantum Machines has accelerated the development of our camera systems, optimized for quantum computing. We are proud to announce the beginning of an adventure towards fault-tolerant quantum computing, together with Quantum Machines,” said Tadashi Maruno, Representative Director, President and Chief Executive Officer of Hamamatsu Photonics.

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

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Jake Vikoren

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Deep Prasad

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Araceli Venegas

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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

Picture of Jake Vikoren

Jake Vikoren

Company Speaker

Picture of Deep Prasad

Deep Prasad

Company Speaker

Picture of Araceli Venegas

Araceli Venegas

Company Speaker

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