Unravelling Quantum Computing

August 27, 2019 @ 5:30 pm – 8:30 pm America/New York Timezone
Raytheon Office Building
870 Winter Street

Boston Women in Engineering will host with N.H Women in Engineering and Society of Women Engineers

Speaker: Dr. Christopher Savoie

Register click here:


5:30pm – 6:30pm: Socializing & Refreshment
6:30pm – 7:30pm: Lecture
7:30pm – 8:00pm Q&A for Speaker
8:00pm – 8:30pm Socializing & Networking

Dr. Savoie will provide a broad overview of quantum computing: what it is, how it is different from classical computing and what the implications and use cases are for broad areas of technology. He will give a brief overview of the various hardware architecture approaches to realizing quantum bits, as well as the various software and algorithmic approaches being designed to harness these new hardware paradigms. Finally, Dr. Savoie will offer an industry perspective on current workforce development needs and opportunities in this emerging field, including more inclusive visa and immigration strategies, as well as much needed progress in gender diversification.

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.