34 min

Fred Chong Returns to Entangled Things Entangled Things

    • Technology

In Episode 41, Patrick and Ciprian speak with returning guest Fred Chong of the University of Chicago.

Among other topics, the team discuss the acquisition of Super.tech by ColdQuanta, the benefits of software development companies working directly with hardware manufacturers, and neutral atom architecture.

Fred Chong is the Seymour Goodman Professor in the Department of Computer Science at the University of Chicago and the Chief Scientist at Super.tech.  His work focuses on accelerating the timeline for practical quantum computing by developing software techniques that optimize for the physical properties of quantum hardware.  He leads the EPiQC Project (Enabling Practical-scale Quantum Computing), a $10M flagship national research project funded by the National Science Foundation's Expeditions in Computing program.  Chong received his Ph.D. from MIT in 1996 and is a recipient of the NSF CAREER award, the Intel Outstanding Researcher Award, and 10 best paper awards. 

In Episode 41, Patrick and Ciprian speak with returning guest Fred Chong of the University of Chicago.

Among other topics, the team discuss the acquisition of Super.tech by ColdQuanta, the benefits of software development companies working directly with hardware manufacturers, and neutral atom architecture.

Fred Chong is the Seymour Goodman Professor in the Department of Computer Science at the University of Chicago and the Chief Scientist at Super.tech.  His work focuses on accelerating the timeline for practical quantum computing by developing software techniques that optimize for the physical properties of quantum hardware.  He leads the EPiQC Project (Enabling Practical-scale Quantum Computing), a $10M flagship national research project funded by the National Science Foundation's Expeditions in Computing program.  Chong received his Ph.D. from MIT in 1996 and is a recipient of the NSF CAREER award, the Intel Outstanding Researcher Award, and 10 best paper awards. 

34 min

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