Quantum computing involves collaboration and interdisciplinarity, the meeting of minds from different perspectives to solve problems where their expertise overlaps. This episode does a version of that with audio, bringing together insider insights from four quantum researchers across industry, academia and the national labs. They discuss research areas including fundamental quantum mechanics, algorithms and calibration and the human and network connections that will be needed to build utility-scale quantum computers.

All four guests are alumni of the Department of Energy Computational Science Graduate Fellowship program, which supports this podcast.

You'll meet:

• Jacob Bringewatt: Assistant Professor of Physics at the U.S. Naval Academy
• Grace Johnson: Senior Product Manager, NVIDIA
• Alicia Magann : Senior Member of Technical Staff, Sandia National Laboratories
• Dylan Sim: Senior Quantum Applications Architect, PsiQuantum

NVIDIA is known for its AI work, and in quantum computing the company focuses on integrating quantum processors with classical processors to accelerate quantum computing. In this conversation NVIDIA's Sam Stanwyck talks about the challenge and importance of quantum error correction, the company's work on integrating quantum and classical hardware and the partnerships with startup companies and the national laboratories that propel this research forward.

You'll meet:

Sam Stanwyck is the Director for Quantum Product at NVIDIA. He previously worked in quantum engineering at Rigetti Computing. He completed a Ph.D. in applied physics at Stanford University in 2017.