András Pál Gilyén

My main research topics are quantum algorithms and computational science, with a focus on linear algebraic methods (quantum singular value decomposition and block-embedded matrices), optimization, and quantum wandering. I defended my PhD thesis at the University of Amsterdam in 2019, written under the supervision of Ronald de Wolf and Harry Buhrman at the QuSoft research group of the CWI research institute. Between 2019 and 2021, I conducted research at Caltech as an IQIM postdoctoral fellow in John Preskill's group, and in the spring of 2020, I participated in the "The Quantum Wave in Computing" program organized by the Simons Institute for the Theory of Computing in Berkeley as a Google Research Fellow.

Some introductory lectures I gave on the topic of quantum algorithms:

• Tutorial on Quantum Algorithms at the 23rd Annual Conference on Quantum Information Processing
• Plenary talk on Quantum Singular Value Transformation & Its Algorithmic Applications at the 14th Conference on the Theory of Quantum Computation, Communication and Cryptography
• Techniques for Hamiltonian Simulation and Beyond at the Quantum Algorithms workshop of the The Quantum Wave in Computing program at the Simons Institute for the Theory of Computing
• Quantum Linear Algebra and its Algorithmic Applications lecture at The 4th Advanced School in Computer Science and Engineering on The Mathematics of Quantum Computation
• Introduction to Quantum Random Walks at the Quantum Cryptography for Dummies seminar series of the Lattices: Algorithms, Complexity, and Cryptography program at the Simons Institute for the Theory of Computing
• A gentle introduction to quantum mechanics for analysts at the Analysis Seminar of the Rényi Institute