*What more can neuromorphic computing learn from neuroscience?* We were asked to write an opinion piece for the journal Neuron and took the opportunity to propose some questions to the neuroscience community: arxiv.org/abs/2310.18335 1/4

We are hiring a permanent #Assistant #Professor in #Physics, with a focus on #Quantum #Science and #Technology (QST) at Heriot-Watt University! Applications from women and other underrepresented groups in Physics are especially encouraged. Please RT! More info: bbqlab.org/openings/facul…

The final projects for my graduate computational physics course were really cool. A group of amazing undergrads implemented Anderson localization under the tight binding model on arbitrary graphs (1/4) github.com/ravikoka/qgraph

*Is there a path to achieving a quantum computational advantage for machine learning with NISQ systems on problems of practical interest?* The community consensus seems to be _no_ for problems involving classical data (which I agree with). 1/

Happy 2024 everyone! To celebrate, here is something for the lab. I had fun working with SPIE and Advanced Photonics to update the Nobel Prize timeline poster. Make printing this one of the first things to do this year! spie.org/news/laser-nob…

The algorithmic capabilities of a real neuron are far beyond what the McCulloch-Pitts-Rosenblatt unit, the foundation of most artificial neural networks, can achieve. Our new controller neuron model is also available here: arxiv.org/abs/2401.01489

The New York times has just published a story supporting standardized testing. Thread

Aspen Winter Conference on *Computing with Physical Systems*: snapshots of Day 1 mcmahon.aep.cornell.edu/aspen/2024/

NIH budget: $51B. NSF budget: $9.8B. Amazon’s R&D budget alone: $73B. Top 10 Nasdaq companies R&D: $222B. We can better prioritize American public investment in research, which despite its meager inputs has delivered outsized public returns in science, technology and society

It has been suggested that Gaussian boson sampling may provide a quantum computational advantage for calculating the vibronic spectra of molecules. Now, an equally efficient classical algorithm has been identified. nature.com/articles/s4156…

Can the intrinsic physics of multicomponent systems show neural network like computation? Out now: nature.com/articles/s4158… Led by Constantine Evans w/ Jackson O'Brien, Erik Winfree. U Chicago summary: news.uchicago.edu/story/uchicago…

"Gradient descent is a better programmer than you." - Andrej Karpathy (approximately...)

Tianyu was a founding member of our group at Cornell AEP and moved to start his own group at BU Dept. of Electrical & Computer Engineering earlier this month. You can read what he's planning to get up to in Boston in the article below:

As Prof. Weiner's former student, I am trying to collect stories and photos from your past interaction with Andy. If you would like to contribute, please check this post and help retweet/repost. Thank you all so much in advance! linkedin.com/feed/update/ur…

Physical systems can develop soft modes to perform the tasks they are trained for, becoming more conductive and effectively lower dimensional. In a sense, they become what they learn. Our new paper at Physical Review E, with Andrea Liu and Vijay Balasubramanian.

*How can you you change the design of a photonic chip, such as a photonic neural-network processor, without needing to go back to a foundry to get another version fabricated?* 1/

This is a great example of how entropy is not disorder. Configurations of a supply of LEGO with some complex assemblies have *higher entropy* than configurations with only isolated bricks. So, with enough of an energy gradient (spin cycle) and enough concentration (mesh bag)…

The Lake Como School of Advanced Studies on Machine Learning Photonics (MLPH) will take place on 2-6 September 2024! Check the program online: mlph2024.lakecomoschool.org PhD students and postdocs are encouraged to apply: application deadline is June 15, 2024.

Differentiable Metropolis-Hastings: differentiate through Bayesian estimation to optimize models towards achieving desired probabilistic outcomes, with implementation in #julialang (#sciml) For more information, see arxiv.org/abs/2306.07961

We are welcoming applications from recent PhD graduates to join our laboratories as a YQI fellow! $80,000 +$5,000 yearly research fund + benefits + you can run into Handsome Dan XIX! Applications open until Oct 27, 2024. quantuminstitute.yale.edu/apply