SFI’s Insight Partners with Cadence to Use Quantum Computing in Chip Design

Cadence funds Insight researchers to pursue advances in quantum velocity processing for advanced chip and system design.

Insight, the research center for data analytics at Science Foundation Ireland (SFI), has partnered with Cadence Design Systems to leverage quantum computing for advanced electronics.

Cadence, which has international headquarters in Cork, will fund the Insight Center at University College Cork to pursue research that links electronics design automation, artificial intelligence and quantum computing.

Quantum computing is still in its infancy but is advancing rapidly. As a technology, it has the potential to help solve some of the world’s most intensive computing problems.

“By providing funding and collaborating with Insight and UCC to study quantum computing algorithms for chip design, we are enabling local students in Cork to fuel next-generation innovation,” said Jaswinder Ahuja, Vice President of Cadence.

With the first generation of quantum computing machines now a reality, it is possible to explore and drive the “quantum advantage,” where a quantum computer can process information at speeds far beyond the capabilities of traditional computers.

“There are fantastic opportunities at the intersection of quantum computing, artificial intelligence, cybersecurity, constraint programming and many other fields,” said Professor Barry O’Sullivan, director of Insight. “We are delighted to have the opportunity to collaborate with Cadence on these opportunities.”

The research team is led by Dr. Emanuel Popovici, senior lecturer in the School of Engineering and Architecture at UCC.

“We are very excited to be engaging in this venture with Cadence, a strong leader in chip and system design,” Popovici said.

Insight has partnered with various industry partners this year to advance its research goals. The center announced earlier this month that it was working with software company Genesys to develop techniques for detecting bias in machine learning models.

In March, the SFI Research Center announced partnerships with Medtronic and Fidelity Investments, on a range of projects including pandemic preparedness, knowledge graphs, natural language inference and computer vision.

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Sherry J. Basler