Explores explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems, covering optimization, sampling, and numerical experiments.
Introduces the basics of quantum computing, covering qubits, superposition, entanglement, quantum gates, and algorithms, highlighting the efficiency of quantum computation.
Delves into quantum computing fundamentals, including entanglement, quantum gates, and algorithms, emphasizing unitary transformations and quantum coherence.