Join the OSA Photonic Metamaterials Technical Group for a webinar with Alexandra Boltasseva from Purdue University on advancing photonic device design and quantum measurements with machine learning. Discovering unconventional optical designs via machine-learning promises to advance on-chip circuitry, imaging, sensing, energy, and quantum information technology. In this webinar, photonic design approaches and emerging material platforms will be discussed showcasing machine-learning-assisted topology optimization for thermophotovoltaic metasurface designs and machine-learning-enabled quantum optical measurements.
Subject Matter Level:
• Intermediate - Assumes basic knowledge of the topic
What You Will Learn:
• Photonic design using machine learning
• Quantum measurements using machine learning
Who Should Attend:
• Graduate students, postdocs, faculty, and industry members interested in photonic design