Quantum Annealing Beyond Optimization
Mohammad H. Amin (D-Wave Quantum Inc. and Simon Fraser University, Burnaby, Canada)
Quantum annealing (QA) has traditionally been closely associated with classical optimization. However, recent hardware advancements have expanded the scope of QA's capabilities. In this presentation, I explore emerging applications that go well beyond optimization. I begin by highlighting recent results in quantum simulation, showcasing application of QA in modelling complex quantum dynamics beyond the reach of classical computation. I then examine the growing intersection of QA with machine learning and artificial intelligence. Following that, I explore the application of QA in blockchain technologies, emphasizing the prospects for improved energy efficiency and enhanced security. Finally, I briefly discuss the potential for digital-analog quantum computation within existing annealing-based quantum processors.