Daniel Grier

Daniel Grier is an Assistant Professor at the University of California, San Diego in the Computer Science and Engineering and Mathematics departments. His research focuses on quantum complexity theory, particularly near-term quantum computing paradigms and proving quantum advantage over classical systems.

• PhD in Computer Science from MIT under Scott Aaronson
• Postdoc at the Institute for Quantum Computing (University of Waterloo)
• B.S. in Computer Science and Mathematics from University of South Carolina

His work spans quantum algorithms, complexity theory, and quantum simulation, with notable contributions to BosonSampling, Clifford circuits, and classical shadow tomography. He has developed open-source tools like gridCHP++, a C++ stabilizer simulator for planar quantum circuits. Publications highlight collaborations with researchers including Scott Aaronson, David Gosset, and Luke Schaeffer, covering topics such as quantum query complexity, quantum simulation efficiency, and quantum-classical separations.