Logan G Wright

Physicist interested in computation, optics, neural networks and nonlinear dynamics.

[Logan G Wright @LoganGWright1]

Grateful and excited to announce I’ll be joining the faculty and starting a new lab at @Yale_University in @YaleSEAS. The theme:

Physical computation, control, and complexity, mostly with photons.

See 🧵 for open positions and more. 1/8 @Yale_QI https://t.co/IzZWTT0kJS

[Logan G Wright @LoganGWright1]

@_FeiXia_ @UCIrvine @UCIEngineering @UCIEECS @BeckmanLaser Congratulations @_FeiXia_ ! Great website too.

[YaleQuantumInstitute @Yale_QI]

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 @HandsomeDanYale!
Applications open until Oct 27, 2024.
https://t.co/7mdDeyEEem

[Logan G Wright @LoganGWright1]

@PiccardoM I really like this. It’s very nice.

[Logan G Wright @LoganGWright1]

@SalaminYannick @CREOLatUCF @UCF Congratulations! 🍾🎉 Fantastic place to do optics!

[Dr. Chris Rackauckas @ChrisRackauckas]

Differentiable Metropolis-Hastings: differentiate through Bayesian estimation to optimize models towards achieving desired probabilistic outcomes, with implementation in #julialang (#sciml)

For more information, see https://t.co/ZkT0zKzT6A

[stefan wabnitz @StefanWabnitz]

The Lake Como School of Advanced Studies on Machine Learning Photonics (MLPH) will take place on 2-6 September 2024!

Check the program online:

https://t.co/M1eWxfUom2

PhD students and postdocs are encouraged to apply: application deadline is June 15, 2024.

[davidad 🎇 @davidad]

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)…

[Peter McMahon @peterlmcmahon]

*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/

[Nachi Stern @SternNachi]

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 @PhysRevE, with Andrea Liu and Vijay Balasubramanian.

[Hsuan-Hao Lu @LuHsuanHao]

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!

https://t.co/f3MaoPrDK1

[Logan G Wright @LoganGWright1]

@Quantum_137 @UMassAmherst Congratulations; Good luck with your first semester! (What are you teaching?)

[Peter McMahon @peterlmcmahon]

Tianyu was a founding member of our group at @CornellAEP and moved to start his own group at @BU_ece earlier this month. You can read what he's planning to get up to in Boston in the article below:

[Michael Nielsen @michael_nielsen]

"Gradient descent is a better programmer than you." - @karpathy (approximately...)

[Arvind Murugan @murugan_chicago]

Can the intrinsic physics of multicomponent systems show neural network like computation?
Out now:
https://t.co/RNJS50MWtl
Led by Constantine Evans w/ Jackson O'Brien, Erik Winfree.
U Chicago summary: https://t.co/jgcH0GyGu9

[Nature Physics @NaturePhysics]

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.
https://t.co/TD7fltQddX

[Dmitri "Mitya" @chklovskii]

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: https://t.co/l4w61DQpGa

[Surya Ganguli @SuryaGanguli]

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

[Logan G Wright @LoganGWright1]

@gfavalora @yale_university @Yale_QI @gfavalora My lab isn’t quite alone in pursuing some of these directions; the lab of Hui Cao, eg, has some related projects too.

[Logan G Wright @LoganGWright1]

Grateful and excited to announce I’ll be joining the faculty and starting a new lab at @Yale_University in @YaleSEAS. The theme:

Physical computation, control, and complexity, mostly with photons.

See 🧵 for open positions and more. 1/8 @Yale_QI https://t.co/IzZWTT0kJS

[Logan G Wright @LoganGWright1]

@dventu @peterlmcmahon A large fraction talks are being recorded and will be posted on YouTube as far as I know

[Peter McMahon @peterlmcmahon]

Aspen Winter Conference on *Computing with Physical Systems*: snapshots of Day 1 https://t.co/O8mMDBIu9O