Covers the complexity and learnability in complex quantum systems, focusing on quantum advantages in learning and predicting properties of quantum states.
Covers the fundamentals of quantum simulation, challenges in classical simulation, Trotter approximation, and applications in inelastic neutron scattering.
Introduces the basics of quantum computing, covering qubits, superposition, entanglement, quantum gates, and algorithms, highlighting the efficiency of quantum computation.
Explores materials modelling, focusing on predicting and designing material properties through computation, including defect analysis, coherence time calculations, and quantum simulations.
