Delves into quantum computing fundamentals, including entanglement, quantum gates, and algorithms, emphasizing unitary transformations and quantum coherence.
Covers the complexity and learnability in complex quantum systems, focusing on quantum advantages in learning and predicting properties of quantum states.
Explores Sum of Squares polynomials and Semidefinite Programming in Polynomial Optimization, enabling the approximation of non-convex polynomials with convex SDP.
