Very happy to finally share my work in collaboration with the @GoogleQuantumAI team, where we developed a new variant of the DMRG algorithm and used it to perform spectroscopy of transmon arrays: https://t.co/qTuPDc1Rnv
Kicking off the AI+Quantum, ACP 2025 great workshop, organized by Eun-Ah Kim, Xiaoliang Qi, Victor Galitsky, and Michael Brenner, with:
Machine learning for practical #quantum error mitigation
Slides: https://t.co/6ChaU3ayJb
#ai#ml
We are excited to announce our partnership with Open Quantum Design (@OpenQuantumDes).
Together, we aim to democratize quantum computing, accelerate research and fuel industry applications.
Read more🔗👇
Thrilled to announce Open Quantum Design and its four founding partners - building the world's first open source quantum computer https://t.co/dLX0sc0hP4
We are organizing a workshop on ML for quantum matter in Dresden in February 2025. Amazing speaker lineup. The application deadline is Nov. 30, apply! https://t.co/mYTGLde38x
we have a full-time opening on compiler engineer at QuEra Computing Inc.! https://t.co/eJWswYIl7K is an exciting moment to work on the this new direction of software and algorithm, if you know a talent compiler engineer, quantum compilation researcher, please forward to them!
It was a pleasure to organize last week's workshop on AI for quantum tech @MPI_Light !
Thank you to all our attendees for the lots of inspiring works presented and the very insightful discussions.
The future of AI x quantum tech is looking great! 🚀
hoping to see many of you at this upcoming machine learning 4 quantum matter workshop @mpi_pks in Dresden (Feb 24-28, '25):
https://t.co/J1MvHT9HTL
application *deadline* is _Nov 30_ !
Please help spread the word for next year’s Boulder School for Condensed Matter and Materials Physics, with an incredible lineup of speakers. Please encourage your students and postdocs to apply (Deadline: January 15). https://t.co/mQoD2pgsPL @NSF@CUBoulder@Yale
This was a years-long effort pushed forward by @aavishkar_patel and Peter. Later we will share a companion paper on improving the computational methods.
PI’s Postdoctoral Program is accepting 2025 applications!
Join a unique research environment with the freedom to focus on physics problems that drive your passion.
The deadline for applying is November 8, 2024.
Apply here: https://t.co/Jo6MTYybey
John J. Hopfield and Geoffrey E. Hinton win the 2024 Nobel Prize in Physics for their groundbreaking work in machine learning with neural networks. Hinton is the fourth Canadian laureate in a decade! PI congratulates both on their achievement!
Read more: https://t.co/kPITP3jGpO
Oh yeah, forgot to mention that you can fiddle around with Hinton's *prized* algorithm, the restricted Boltzmann machine, with QuCumber!
https://t.co/4xgIn54TRy
pip install qucumber
It's an RBM that does quantum state reconstruction.
Carry on.
This year’s #NobelPrize laureate in physics John Hopfield created an associative memory that can store and reconstruct images and other types of patterns in data.
The Hopfield network can store patterns and has a method for recreating them. When the network is given an incomplete or slightly distorted pattern, the method can find the stored pattern that is most similar.
Read more about the research that led to this year’s physics prize: https://t.co/QuIdxRvuEP