Translate to multiple languages

Subscribe to my Email updates

https://feedburner.google.com/fb/a/mailverify?uri=helgeScherlundelearning
Enjoy what you've read, make sure you subscribe to my Email Updates

Thursday, November 19, 2020

Bringing Quantum to Machine Learning | Q&A - Physics

All interviews are edited for brevity and clarity.


Maria Schuld reflects on the open questions about quantum machine-learning algorithms by Katherine Wright, Senior Editor for Physics

Maria Schuld reflects on the open questions about quantum machine-learning algorithms.
Photo: Z. Giampietri

Becoming a physicist was not Maria Schuld’s life goal. As an undergrad, she started out studying political science, taking physics in parallel. Her plan was to work for a nonprofit organization in a capacity that had a very clear benefit to society. For her, a career as a physicist didn’t offer that possibility. But then, she says, “life happened”—jobs fell through and other opportunities opened up—and she found herself with a career in quantum machine learning.

Today Schuld, who works for the Canadian quantum computing company Xanadu from her home in South Africa, says that she has matured in what she thinks it means for a person to benefit society. She says that all people can take actions to benefit others, regardless of their field. For example, any startup company can build a supportive culture with happy employees or a ruthless one that makes everyone miserable. In an interview with Physics, Schuld spoke about why she loves quantum machine learning, what she sees as the important unsolved problems in the field, and how she approaches career decisions.

Read more... 

Source: Physics