A Practical Guide to Quantum Machine Learning and Quantum Optimization
by Elías F. Combarro, Samuel González-Castillo
Foreword
“I know you, you were working with Elías Combarro when he gave that course about quantum computing at CERN. That course changed my life!”
As I welcome students and more seasoned researchers to the CERN IT Department, it is not unusual to hear this kind of comment about Elías’ lectures. I’ve been working at CERN for 25 years on R&D projects in computing and data science for high-energy physics and still I have not seen this happening that often with other courses.
When I started building the CERN Quantum Technology Initiative in 2018, quantum computing and its applications had already started growing at an accelerated pace. We were looking for ways of understanding the potential benefits for physics and contributing to the ongoing research ...
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