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Classiq Joins The IBM Quantum Network

Classiq
Classiq
Classiq joins the IBM Quantum Network.

Classiq, creators of the Quantum Algorithm Design Platform, announced that they have joined the IBM Quantum Network. In addition, Classiq’s algorithm design platform is now compatible with IBM’s Qiskit, offering an integrated hardware/software solution to quantum computing teams.

The IBM Quantum Network brings together a diverse group of more than 140 startups, universities, research labs, and Fortune 500 companies including the University of Oxford, Oak Ridge National Laboratory, ExxonMobil, Accenture and others working to advance quantum computing and explore practical applications.

As part of the IBM Quantum Network, organizations have access to IBM’s quantum expertise and resources, open-source Qiskit software and developer tools, as well as cloud-based access to IBM’s Quantum hardware. IBM is leading the field with a 65-qubit machine available today with a roadmap to a 1,000+ qubit system, targeted for 2023.

Classiq’s quantum algorithm design platform helps teams model and synthesize quantum circuits that were previously impossible to create. Instead of laboring at the gate level, quantum developers that use Classiq’s high-level language to describe the desired algorithm as well as their important constraints. Classiq’s patented engine synthesizes this high-level model into an optimized quantum circuit. Furthermore, quantum teams use the Classiq platform to analyze, debug and reuse quantum code, dramatically speeding up the design process and enabling the integration of domain experts into the quantum teams.

According to Classiq Co-Founder & CEO, Nir Minerbi, “Classiq’s inclusion in the IBM Quantum Network positions us to work together in pushing the envelope of what’s possible with quantum algorithms. By offering our unique code synthesis platform to IBM Quantum Network members and partners, we can more quickly explore previously-impossible quantum goals.”

About Classiq At Classiq, we believe that quantum algorithms should be limited only by ingenuity and imagination, not by laborious gatelevel design. That’s why our software platform provides a high-level modeling language that is automatically synthesized into an optimal quantum circuit. Quantum teams can now model, analyze and debug quantum algorithms that were previously impossible to create. For additional information, please visit www.classiq.io

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

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Deep Prasad

Deep Prasad

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Araceli Venegas

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

Jake Vikoren

Jake Vikoren

Company Speaker

Deep Prasad

Deep Prasad

Company Speaker

Araceli Venegas

Araceli Venegas

Company Speaker

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