Quantum Computational Advantage: Recent Progress and Next Steps
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Covers the fundamentals of quantum simulation, challenges in classical simulation, Trotter approximation, and applications in inelastic neutron scattering.
Explores the Quantum Approximate Optimization Algorithm and its application in solving optimization problems efficiently using quantum adiabatic evolution.
Explores materials modelling, focusing on predicting and designing material properties through computation, including defect analysis, coherence time calculations, and quantum simulations.
Covers the Quantum Approximate Optimization Algorithm (QAOA) for solving combinatorial optimization problems using quantum computers and its application to Boolean Satisfiability (SAT) problems.
