Exploring Hybrid Quantum Algorithms to find Cancer Biomarkers with Dr. Fred Chong and Dr. Teague Tomesh

In Episode 74, Patrick and Ciprian speak with returning guest Dr. Fred Chong and first time guest, Dr. Teague Tomesh of Infleqtion.

The is a very exciting discussion about an awarded project from Wellcome Leap to explore hybrid quantum algorithms to find cancer biomarkers in multi-modal data.  The team also discusses solving real problems within the Quantum timeline, and matching hardware to applications.

Fred Chong is the Seymour Goodman Professor in the Department of Computer Science at the University of Chicago and the Chief Scientist for Quantum Software at Infleqtion. He is also Lead Principal Investigator for the EPiQC Project (Enabling Practical-scale Quantum Computing), an NSF Expedition in Computing. Chong is a member of the National Quantum Advisory Committee (NQIAC) which provides advice to the President on the National Quantum Initiative Program. In 2020, he co-founded Super.tech, a quantum software company, which was acquired by Infleqtion (formerly ColdQuanta) in 2022. Chong received his Ph.D. from MIT in 1996 and was a faculty member and Chancellor's fellow at UC Davis from 1997-2005. He was also a Professor of Computer Science, Director of Computer Engineering, and Director of the Greenscale Center for Energy-Efficient Computing at UCSB from 2005-2015. He is a fellow of the IEEE and a recipient of the NSF CAREER award, the Intel Outstanding Researcher Award, and 15 best paper awards.

Teague Tomesh is a Quantum Software Engineer at Infleqtion working on the co-design of quantum algorithms and hardware. The goal of this work is to minimize the time to practical quantum computing by developing and compiling applications which are tailored to the details and properties of the quantum hardware. Tomesh received his Ph.D. from Princeton in 2023 and is a recipient of the Siebel Scholars award as well as four best paper awards.