🤝We welcome the Quantum Matter and AI (QMAI) group led by @EliskaGreplova to QuTech!
💡The group works at the intersection of quantum computing, artificial intelligence and condensed matter physics.
🤩We look forward to our collaboration!
More👇
https://t.co/ovXEodw56D
Save time analyzing MEA datasets with autoMEA. This Python package automates burst detection by using a machine learning model to predict optimal bursts parameters. It’s open source, inviting the MEA community to contribute and help improving it.
Check out https://t.co/S4CikGArUe with @FlemmingHoltorf & @_Frank_Schaefer (@MIT_CSAIL) and Niels Lörch (@UniBasel):
Leveraging tools from physics, we analyze phase transitions in LLMs. These mark abrupt changes in behavior as prompt, training epoch, or temperature are varied.
Always nice to spend some time at ICTP in Trieste during the spring. I learned a lot about neural quantum states and other topics at the intersection of quantum simulation and machine learning. Thanks to all the organizers and speakers!
I am happy to share that our paper on Quantifying non-stabilizerness via information scrambling has been published on SciPost Physics. We showed that fluctuations of Out-of-Time Ordered Correlators can approximate second Stabilizer Renyi entropy.
https://t.co/4q4LbW4CXL
As a physicist, I’ve always wanted to visit @CERN. Last week at QTML2023, I finally got the chance. It was an incredible experience - met old and new friends, learned a lot, and got ideas for future projects. Huge thanks to the organizers @CERNquantum.
Excited to TA the new course “Machine learning for semiconductor quantum devices”, with my colleagues from @QMAI_TUDelft.
It’s still possible to enroll!
TWO NEW ONLINE COURSES! Start learning about semiconducting quantum technologies today with our new program: 'Quantum 301: Quantum Computing with Semiconductor Technology.'. https://t.co/5FjlHZAYvE #QuantumComputing
This week I had the pleasure of attending @FrontiersOfQC in Gothenburg. Lots of amazing talks, fruitful discussions, and the perfect place to share the preliminary results of our work on quantum machine learning for neuroscience.
I never thought I’d present at a neuroscience event one day, but here we are.
It was a great opportunity to show some results of our soon-to-be-released machine learning package for analysis of neuronal activity data.
Had the best time ever at the @ictpnews @QuantinuumQC Quantum Hackathon. It was an amazing opportunity to meet lots of great people in academia and industry, and learn more about different topics in QC.