Skip to main content
More

Topics

Reset your password

Please enter the e-mail address you used to register to reset your password

Note: The verification e-mail to change your password should arrive immediately. However, in some cases it takes longer. Don't forget to check your spam folder.

If you haven't received the e-mail in 24 hours, please contact customerservices@ioppublishing.org

Registration complete

Thank you for registering with Physics World
If you'd like to change your details at any time, please visit My account

Close
Ultracold matter

Ultracold matter

Machine learning takes hassle out of cold-atom experiments

31 Jan 2024 Margaret Harris
Photo of the vacuum chamber containing the rubidium MOT, surrounded by optics and imaging systems
Automatic adjustments: A view into the vacuum chamber containing the Tübingen group's rubidium magneto-optical trap (MOT). The frequency of the MOT lasers is controlled by a reinforcement learning agent. (Courtesy: Malte Reinschmidt)
Cold atoms solve many problems in quantum technology. Want a quantum computer? You can make one from

You’ve reached the limit of what you can view on Physics World without registering

If you already have an account on Physics World, then please sign in to continue reading

If you do not yet have an account, please register so you can

  • Access more than 20 years of online content
  • Choose which e-mail newsletters you would like to receive
Margaret Harris is an online editor of Physics World
Read previous

FLASH irradiation spares immune cells during proton therapy
Read next

Dark solitons spotted in ring semiconductor lasers

Discover more from Physics World

Related jobs

Related events

Copyright © 2024 by IOP Publishing Ltd and individual contributors