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Toppan, Blueqat Research Team Says New Method Reduces Computation Time on Photonic Quantum Computer

Photonic
Photonic
A team of researchers say that a new method reduces computation time and points to the potential of photonic quantum computation.

Toppan and blueqat are reporting in a research paper that they have created a new photonic quantum computation method that significantly reduced computation time.

In a news release, the companies indicate that their method reduces computation time to one twenty-seventh of the time taken using previous methods. They added that this is expected to accelerate photonic quantum computation.

“It’s well known that quantum computers have the potential to contribute to solutions for a range of social issues,” said Takashi Ito, Executive Officer of Toppan’s Digital Innovation Division. “The photonic quantum method is expected to be widely used because room temperature operation is possible and it saves energy, making it a technology that can bring us closer to quantum computers. I hope the results of this research help to drive the practical use of quantum computers using the photonic quantum method.”

The research team relied on tensor networks to simulate quantum computation. The team said that applying singular value decomposition in tensor network structures to continuous-variable (CV) quantum computation helped reduce the computation time.

The company researchers said that future plans include conducting further comparison against other methods and verify. The companies also a plan to create a digital transformation (DX) business that uses photonic quantum methods, something they hope will encourage the use of quantum computers and quantum communication that enable a safe and secure digital society in the future.

“We are starting to see photonic quantum computers being applied for society around the world, and potential for their application is not limited to computation, but is expected to extend to communication and a wide range of other fields,” said Yuichiro Minato, blueqat CEO/CTO. “This research focuses on a technology that can form a bridge between fundamental research and application, and we believe it will advance the practical use of photonic quantum computers significantly.”

The research paper was included in the Posters Program of the International Conference on Quantum Computing and Engineering (QCE), organized by the Institute of Electrical and Electronics Engineers (IEEE). The team included Ryutaro Nagai, blueqat; Takao Tomono, Toppan and Yuichiro Minato, blueqat.

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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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