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Watch a 53-minute lecture from IBM Quantum researcher Srinivasan Arunachalam exploring the learning of quantum state classes as part of the 2023 PCMI Graduate Summer School program. Delve into advanced concepts of quantum learning theory, focusing specifically on approaches for learning unknown classes of quantum states from multiple copies and understanding structured quantum state classes to improve sample and time complexity. Access complementary lecture notes and exercises that reinforce key concepts in quantum state learning. Part of a comprehensive series covering quantum computation, this lecture requires no prior knowledge of quantum learning while providing rigorous mathematical foundations relevant for near-term quantum computing applications.
Syllabus
Part 4 Learning classes of quantum states | Srinivasan Arunachalam (IBM Quantum)
Taught by
IAS | PCMI Park City Mathematics Institute