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Upgrade your data analytics skills by learning the theory and practical application of supervised and unsupervised learning, time-series analysis, neural networks, recommendation engines, regression, and computer vision.

Quantum computing is transitioning from laboratory curiosity to technical reality. Today, small-scale quantum computers with 53 qubits have been demonstrated, but what can they do? What kinds of business opportunities exist and what are the challenges ahead? How and when should my company get engaged?

MIT’s Industrial Liaison Program (ILP) and the Center for Quantum Engineering (CQE) are pleased to present a special webinar and panel discussion with business leaders and researchers in quantum computing hardware and software sharing their insights on the current lay of the land, opportunities, and challenges of quantum computing.