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Explores the Quantum Approximate Optimization Algorithm and its application in solving optimization problems efficiently using quantum adiabatic evolution.
Delves into the frontiers of nanoscience, exploring the manipulation of atoms, magnetic data storage, semiconductor devices, quantum technology, and the economic impact of the semiconductor industry.
Covers the Quantum Approximate Optimization Algorithm (QAOA) for solving combinatorial optimization problems using quantum computers and its application to Boolean Satisfiability (SAT) problems.
Explores materials modelling, focusing on predicting and designing material properties through computation, including defect analysis, coherence time calculations, and quantum simulations.
Covers the complexity and learnability in complex quantum systems, focusing on quantum advantages in learning and predicting properties of quantum states.
