Demystifying Quantum Machine Learning with Luis Serrano, PhD (Zapata Computing)

Synthetic Intelligence Forum is excited to convene a session about “Demystifying Quantum Machine Learning“ with Luis Serrano, PhD (Quantum AI Research Scientist at Zapata Computing). Topic: Quantum computers are known to be efficient for factoring numbers. They can efficiently simulate solid-state compounds and molecules, enabling the design of new chemicals, materials and drugs. Quantum scientists have also built heuristics for solving hard instances of optimization problems. Most experts predict that within the next few years we will have a large enough quantum computer to enable an advantage for some real business problems. However, it is still unclear exactly which problem it will be. Most expect that quantum advantage will first be achieved in one of three areas: machine learning, simulation of quantum materials (e.g. chemistry), or optimization. Today’s fully quantum computers and quantum simulators are large enough to explore potential use cases by integrating them with classical computers. While hy