Anurag Anshu

Anurag Anshu is an Assistant Professor of Computer Science at Harvard University's John A. Paulson School of Engineering and Applied Sciences (SEAS). His primary research interests lie in quantum complexity theory, quantum many-body systems, quantum Shannon theory, and quantum learning theory. He holds a PhD from the National University of Singapore (2018) and completed postdoctoral research at UC Berkeley (2020) and the Perimeter Institute for Theoretical Physics (2020).

His academic journey includes:

• Bachelor's in Computer Science from IIT Guwahati (2013)
• PhD in Quantum Technologies from NUS (2018), awarded the Dean's Graduate Research Excellence Award for his thesis on quantum communication protocols
• Postdoctoral roles at UC Berkeley's Simons Institute and the Perimeter Institute

Research focuses on foundational aspects of quantum computing, including quantum algorithms, complexity theory, and the interplay between quantum information and many-body physics. His work bridges theoretical computer science with quantum physics, addressing challenges in quantum communication, error correction, and learning theory.

Notable contributions include studies on NLTS Hamiltonians, quantum Gibbs state learning, and the computational power of quantum circuits. He has received grants such as the NSF CAREER Award (2023) for research on quantum many-body systems.

His awards include the 2018 Dean's Graduate Research Excellence Award for his thesis on quantum communication protocols. He advises no listed students but collaborates extensively in quantum information theory and complexity research.