Enterprise quantum teams that are interested in developing applications or... - Deepstash

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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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MORE IDEAS FROM THE SAME ARTICLE

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 popul...

The Classiq approach, called “Quantum Algorithm Design,” automatically synthesizes optimized quantum circuits from high-level functional models.

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 numbe...

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...

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 ...

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 mode...

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Convolutional Neural Networks have the limitation that they learn inefficiently if the data or model dimension is very large.So,Seunghyeok Oh et al.showed how to make ...

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What is Quantum Computing?

Quantum Computing is a form of computing that takes advantage of quantum mechanics to process information exponentially faster than classical computers.

Classical computers use classical bits which can consist of either a 0 or a 1 to encode information.Quantum computers,on ...

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BITS And LOGIC GATES

If you know a bit about computers, you may know that computers use bits, which can either be on or off, usually referred to as 1 and 0 respectively. The states of these bits can be modified using logic gates like

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