Roger Melko

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: arxiv.org/abs/2506.24109

Apply to this nice program at ETH

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: sites.google.com/view/quai-acp-… #ai #ml

Statistical mechanics and machine learning of the 𝛼-Rényi ensemble, Andrew Jreissaty and Juan Carrasquilla @carrasqu @VectorInst @ETH_physics #StatisticalPhysics #MachineLearning go.aps.org/4hiYIfb

Waterloo startup launches open source platform for making a quantum computer therecord.com/news/waterloo-…

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 openquantumdesign.org/founders-%26-p…

Single qubit gates with errors below 10^-6! arxiv.org/abs/2412.04421 Impressive result on ions

Come to Cambridge! There is a tenure-track position at Kempner and Harvard CS. Please share around: academicpositions.harvard.edu/postings/14362

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! pks.mpg.de/mlqmat25

we have a full-time opening on compiler engineer at QuEra Computing Inc.! job-boards.greenhouse.io/queracomputing… 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! 🚀

Happy BDay @PennyLaneAI!

hoping to see many of you at this upcoming machine learning 4 quantum matter workshop @mpi_pks in Dresden (Feb 24-28, '25): pks.mpg.de/mlqmat25 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). boulderschool.yale.edu/2025/boulder-s… @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: hubs.ly/Q02SMjlr0

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: hubs.ly/Q02Sy79F0

Oh yeah, forgot to mention that you can fiddle around with Hinton's *prized* algorithm, the restricted Boltzmann machine, with QuCumber! github.com/PIQuIL/QuCumber 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: bit.ly/3Bi9H8u