Using quantum physics for machine learning
The bridge between artificial intelligence and quantum mechanics is currently one of the most investigated topics in the academic community. Over the past few years, many academics have started to study the ways in which quantum mechanics can prove beneficial for learning robots, or vice versa. Yet, robots were still incapable of learning faster.
Robots learn faster when quantum physics is used
Valeria Saggio, doctoral candidate at the Vienna Doctoral School in Physics, is working on this hot topic and does experiments with photons. Together with international collaboration partners in Austria, Germany, the Netherlands, and the USA, she was able to show that quantum technology can speed-up the learning process. "In one of our latest experiments, we were able to demonstrate that agents can learn faster. The learning time can be reduced when quantum physics is used in the machine learning protocol," says Valeria Saggio. The results were recently published in the journal "Nature". (Read more about the project investigating the bridge between quantum physics and artificial intelligence)
Real-life applications of quantum physics
When Valeria Saggio first started to study quantum mechanics, she was really fascinated by its fundamental aspects. But as soon as she started to work on experiments, she realised that quantum mechanics has the potential of leading to real life applications, for example in the field of secure communication: "I am really interested in the potential impact that quantum technologies might have on our society in the near future."
Doctoral Schools at the University of Vienna
About 5,000 doctoral candidates from 110 countries are studying at the University of Vienna. The 14 new Vienna Doctoral Schools of the University of Vienna prepare early stage researchers for their future careers in the best possible way. The Vienna Doctoral Schools place great emphasis on state-of-the-art methods and techniques, intensive supervision by top researchers and networking within the academic community. Workshops, seminars, research excursions, retreats and summer schools contribute to a lively and international peer culture.