Quantum and Nanocomputing

This lecture covers the context and introduction to phase change materials, integrated photonics, memories, computing with matrix-vector multiplications, optoelectronics, and integration. It discusses the use of phase change materials in memories, data storage, electronic factorization, and in-memory computing. The lecture also explores the challenges and advancements in integrated optics, the integration of electronics with photonics, and the future prospects of machine learning in matrix-vector multiplication. Additionally, it delves into the development of mixed-mode optoelectronic memory, on-chip heat pulses in plasmonic memory, and the utilization of new materials in quantum computing. The lecture concludes with insights on system integration in photonics and acknowledges key contributors in the field.