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I am an Assistant Professor of Computer Science at Yale University. Our group works in the area of algorithms and computer architecture, particularly in the context of quantum computing. We architect practical quantum systems that enable novel, complex computational applications. Specifically, our current research efforts consist of several themes:

Enabling Quantum Algorithms in the Presence of Noise — Emerging quantum computing applications need theoretical efficiency guarantees and practical noise-resilient implementations in order to show their advantage over classical algorithms. We are exploring quantum circuit designs that achieve high accuracy for problems such as Hamiltonian simulations and machine learning tasks.

Designing Efficient Compiling Software — Traditional quantum compilation typically seeks universality, in that it decomposes any target unitary into a sequence of instructions from a set of basis gates. We are developing systems software that takes advantage of device connectivity and ancillary qubits to better understand the conditions for efficient universality.

Architectural Support for Quantum Noise Mitigation and Error Correction — We are recently developing application- and device-adapted error correction methods and exploring the role of architecture in enabling efficient detecting and decoding of errors.

Prospective Students: I am always looking for great students who wish to work on these exciting research topics or bring their own creative ideas. If you are interested in joining our group as graduate students, postdoctoral scholars, or undergraduate researchers, please send me an email along with your CV to start a conversation.