True potential of quantum computers

Abstract

The quantum computing space has attracted immense interest in recent years. Along with the wave of interest comes the wave of opinions and intuitions that are commonly held by people who are both reasonably familiar with the field as well as those who are relatively new. We highlight some of the key tensions in conceptualizing the potential of quantum computing by presenting them as various dichotomies. Some of those dichotomies are real, while many others are false (such as NISQ algorithms versus FTQC algorithms). Drawing on our own experience at Zapata, we point out the reasons why these apparent dichotomies are false and how understanding the falsehood can help to shape our perspective about the true potential of quantum computers.

Speaker Biographies
Dr :Christopher Savoie

Christopher Savoie is the CEO of Zapata Computing, a Harvard spinout quantum computing software and algorithm company funded by The Engine, the venture firm founded by MIT to invest in tough tech. Dr. Savoie is a published scholar in medicine, biochemistry and computer science and his research and business interests over the years have focused on the intersection of machine learning, biology, and chemistry. Dr. Savoie is the original inventor of AAOSA, the A.I.-based natural language interface technology that was used to develop Apple’s Siri.

Dr. Savoie has led big data analytics efforts at Nissan and has previously founded and served as CEO of technology companies that have been acquired or exited via IPO. Dr. Savoie is also a licensed attorney and serves as the current Vice-Chairman of the Big Data Committee of the American Bar Association. Savoie is a published legal expert on liability issues surrounding Artificial Intelligence, Big Data, Information Security and Data Privacy and has lectured and taught continuing legal education courses on these subjects.

Dr. Yudong Cao

Yudong Cao is the CTO of Zapata Computing - a Harvard spinout quantum computing software and algorithm company funded by The Engine, the venture firm founded by MIT to invest in tough tech. Dr. Cao has a background in Mechanical Engineering and Computer Science. From 2016-2018 he held the position as a postdoctoral researcher at Harvard University working closely with Professor Alán Aspuru-Guzik, a world leader in quantum simulation for chemistry and materials and co-founder of Zapata Computing. The main focus of Dr. Cao's work at Harvard was on developing and deploying algorithms for noisy intermediate-scale quantum devices. This work has served as the foundation for the applications and solutions Zapata can offer their enterprise clients today.

Cross Promotion partner Event: Quantum Machine Learning Panel Discussion @
https://www.meetup.com/Washington-Quantum-Computing-Meetup/events/270221742/

Zoom URL:
https://us02web.zoom.us/j/88936873752?pwd=MEtRWWRJSWJ3Y2d3clNydytvZGwvdz09