News & Insights for the AI journey|Monday, March 18, 2019
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Quantum Startup Targets the Stack 

Add the Israeli startup Quantum Machines to the list of innovators pursuing the building blocks of the elusive computing architecture.

The web site reported Wednesday (Nov. 21) that Tel Aviv-based Quantum Machines has raised $5.5 million in seed funding. The quantum startup’s web site lists Battery Ventures and TLV Partners as investors.

Founded earlier this year by CEO Itamar Sivan and research colleagues at the Weizmann Institute of Science, Quantum Machines is reportedly pursuing the connective tissue that would link digital and quantum computing.

According to Quantum Machines’ LinkedIn page: “We develop the most advanced control and operation systems for quantum computers and aim to fulfill the potential in quantum computing.”

The startup’s mission statement continues: “We develop innovative software, hardware [and] electronics, combining a wide range of classical engineering such as electrical engineering, software engineering [and] hardware engineering, with the science and technology of quantum computing.”

Co-founders Yonatan Cohen serves as Quantum Machine’s CTO while Nissim Ofek is listed as vice president of R&D.

While most quantum research has focused on scaling the number of quantum bits used in processors, Techcrunch.comreported that the Israeli startup is instead focusing on the “operational and control” layers of quantum architecture.

That approach seeks to develop a complete quantum computing stack that links digital and quantum computers. The approach assumes the two technologies must work together to, for example, transmit a standard algorithm through a software layer to a quantum processor.


About the author: George Leopold

George Leopold has written about science and technology for more than 30 years, focusing on electronics and aerospace technology. He previously served as executive editor of Electronic Engineering Times. Leopold is the author of "Calculated Risk: The Supersonic Life and Times of Gus Grissom" (Purdue University Press, 2016).

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