thequantumdaily.com
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The Classiq approach, called “Quantum Algorithm Design,” automatically synthesizes optimized quantum circuits from high-level functional models.
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We trust the tech giants to deliver more powerful hardware, but currently, the quantum software stack is in its infancy. Developing quantum software is almost an impossible task.
Minerbi estimates that only a few thousand people in the world can design a 10-qubit quantum circuit. That number falls to a few hundred experts who can design a 50-qubit circuit.
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With Classiq, organizations can combine the power of elite quantum scientists with domain-specific experts as well as other individuals within their enterprises. These integrated teams can engineer solutions to the world’s most pressing problems.
“We want to enable the quantum experts to do the high-level design, but, in parallel, enable domain experts who are not quantum specialists to participate in and contribute to the quantum algorithm design process.”
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If you want to design a simple electronic chip with storage, a simple printed circuit with a few dozens of classical gates — like AND gates and NOT gates — that’s a complex design problem, but you can still do it manually,” said Minerbi. “However, you can’t design circuits with millions or billions of transistors in the same way. Luckily, you don’t need to because, in the classical electronic design process, there are high-level modeling languages like VHDL and Verilog that define what functionality you want to achieve out of the circuit without requiring you to define the implementation
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The software acts like “VHDL for Quantum,” injecting a high-level functional model and turning it into a gate-level quantum design.
this ultimately puts the power of quantum computers in the hands of more people, who can then use their creativity and knowledge to enable quantum solutions for a wide variety of industries and use cases.
To allow creating solutions using today’s NISQ-era computers, Classiq also makes it easy to create hybrid solutions that combine quantum computing with classical processing.
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The Classiq platform gets inputs from a high-level functional model and the constraints the designer needs to meet. It uses a constraint satisfaction engine to fulfill the requirements while meeting the constraints.
you get two things: a synthesis of a quantum circuit from a high-level model, and an excellent optimization because the model knows the hardware constraints as well as the high-level requirements
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Many users worry that each quantum company that comes along will require a steep learning curve, with more technological integration and additional languages to learn.
Classiq’s platform is designed to match the client’s quantum stack. The platform sits on top of popular programming languages such as Cirq, Qiskit, Braket and Q#. It works seamlessly with all quantum programming languages and with any universal gate-based quantum computer.
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Enterprise quantum teams that are interested in developing applications or algorithms for quantum computers are choosing Classiq. The company is also developing ties with academia. Additionally, it has deep partnerships with the leading hardware providers.
Since its inception in late 2019, the company secured a total of about 18 million in funding from leaders in venture capital, including Team8 and Wing Venture Capital , Entrée Capital , OurCrowd, and IN Venture , the corporate venture arm of Sumitomo Corp.
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