Graphical models and logical abstractions for quantum systems

Speaker Name
Yipeng Huang
Speaker Title
Assistant Professor
Speaker Organization
Rutgers University
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Virtual Event

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Abstract: Quantum computers now have the size and reliability to allow more widespread experimentation and educational outreach. With more research and students using quantum computers, a natural question lies in how to simulate, reason about, and debug quantum programs and circuits. Probabilistic graphical models such as Bayesian networks offer a natural description of a quantum computer's quantum states and probabilistic noise. In this seminar talk I will discuss a case study presented at ASPLOS 2021 in simulating variational algorithms. Then, I will discuss extensions in modeling correlated noise and higher-dimensional quantum states.

Bio: Yipeng Huang joined Rutgers University as an assistant professor in 2020. His research and teaching are in quantum computing and emerging computer architectures. He is interested in quantum computer systems: how to program them, simulate them, and debug them. His research has previously been supported by a DARPA STTR grant, and his work had been cited among IEEE MICRO top picks.

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