Learning Structured Classes of Quantum States With or Without Entanglement

Explore quantum state tomography and learning algorithms in this Qiskit seminar that delves into the complexities of n-qubit quantum states. Discover how Gibbs states of local Hamiltonians, stabilizer states, and phase states can be efficiently learned using polynomial copies, while examining the inherent challenges when implementing these learning algorithms with separable or statistical measurements. Led by an IBM Almaden Senior Research Scientist with extensive experience from MIT's Center for Theoretical Physics, CWI, and QuSoft Amsterdam, gain insights into fundamental quantum information theory concepts and their practical implications in quantum computing.