Professor, University of Waterloo; Associate Faculty, Perimeter Institute for Theoretical Physics
Joined May 2012
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Roger Melko retweeted
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
Roger Melko retweeted
Apply to this nice program at ETH
I am thrilled to announce the "Challenges in Simulating Quantum Matter" workshop at ETH Zürich, 16-18 June 2025 🎉 Now accepting applications for talks and posters: csqm.org @ETH_physics @UZHMat @ETHQuantumCntr #NeuralQuantumStates #QuantumComputing #TensorNetworks
Roger Melko retweeted
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-a…
#ai #ml
Roger Melko retweeted
Waterloo startup launches open source platform for making a quantum computer therecord.com/news/waterloo-…
Roger Melko retweeted
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/founde…
Roger Melko retweeted
Single qubit gates with errors below 10^-6!
arxiv.org/abs/2412.04421
Impressive result on ions
Roger Melko retweeted
Come to Cambridge! There is a tenure-track position at Kempner and Harvard CS. Please share around:
academicpositions.harvard.ed…
NEW: we have an exciting opportunity for a tenure-track professor at the #KempnerInstitute and @hseas. Read the full description & apply today: academicpositions.harvard.ed…
#ML #AI
Roger Melko retweeted
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
Roger Melko retweeted
we have a full-time opening on compiler engineer at QuEra Computing Inc.! job-boards.greenhouse.io/que… 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!
Roger Melko retweeted
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! 🚀
Roger Melko retweeted
Happy BDay @PennyLaneAI!
Roger Melko retweeted
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_ !
Roger Melko retweeted
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/… @NSF @CUBoulder @Yale
Roger Melko retweeted
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.
A confluence of high-performance computational methods and novel perspectives on disorder in correlated electron systems yields strange metals in a realistic model and predictions for future experiments. 1/2
arxiv.org/abs/2410.05365
Roger Melko retweeted
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
Roger Melko retweeted
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
Roger Melko retweeted
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.
Roger Melko retweeted
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
Roger Melko retweeted
The 2024 #NobelPrize laureates in physics used tools from physics to construct methods that helped lay the foundation for today’s powerful machine learning.
John Hopfield created a structure that can store and reconstruct information. Geoffrey Hinton invented a method that can independently discover properties in data and which has become important for the large artificial neural networks now in use.
Although computers cannot think, machines can now mimic functions such as memory and learning. This year’s physics laureates have helped make this possible. Using fundamental concepts and methods from physics, they have developed technologies that use structures in networks to process information.
