Rikab Gambhir

Theoretical Physicist (Allegedly) | MIT CTP P.h.D. Student |
don't sleep through dreams that can't come true

[Rikab Gambhir @Cornkab]

It turns out optimal transport is easy! The "Spectral EMD" lets you compute optimal transport quickly and exactly in closed form -- incredibly useful for QCD and collider physics!

https://t.co/20RMGhfmwg

[Rikab Gambhir @Cornkab]

posting this again from last time!
https://t.co/XX7A47MTce

[😡fermion, PhD @angryfermion]

STEM major: what are you learning in school?

kindergartener: shapes and colors

STEM major: lmao good luck getting a job with that

[John M. Martyn @JohnMMartyn]

In a new work with @bqp_equals_bpp, we parallelize quantum signal processing!

https://t.co/lhIiy19Zzl

Our parallel QSP algorithm is tailored to property estimation, and distributes the computation over multiple independent quantum devices.

[John M. Martyn @JohnMMartyn]

Can classical randomness accelerate quantum algorithms? Indeed, through randomized compiling!

https://t.co/d1mOnCgmx5

We introduce stochastic quantum signal processing (QSP) as a randomly-compiled version of QSP, and reduce the cost of QSP-based algorithms by a factor of 1/2.

[Claudius Krause @ClaudiusKrause]

Great article about #MachineLearning in #ParticlePhysics Theory:

https://t.co/meeoxlvAat

[Claudius Krause @ClaudiusKrause]

New #paper on #arXiv today!

"Unifying Simulation and Inference with Normalizing Flows" with Haoxing Du, Vinicius Mikuni, Benjamin Nachman (@BPNachman), Ian Pang, and David Shih

https://t.co/skdeoSpM8E

(perfect timing for #EuCAIFCon24 this week :-) )
1/6

[Freya Blekman @freyablekman]

#CMSPaper 1286 studies whether, very rarely, top quarks decay without intermediate W bosons, specifically top to 2 other quarks and 1 charged lepton. It sets the world's strongest constraints, improving our knowledge by three to six orders of magnitude 💪 https://t.co/2C69tlwr0m

[Rikab Gambhir @Cornkab]

Turns out you actually can get a job studying quantum color and shapes!

https://t.co/XX7A47MTce

[😡fermion, PhD @angryfermion]

STEM major: what are you learning in school?

kindergartener: colors and shapes

STEM major: lmao good luck getting a job with that

[Freya Blekman @freyablekman]

#CMSPaper 1280 measures the strength of the strong nuclear force from the internal sub-blobs inside jets, the spray of particle debris that quarks and gluons leave when they are created. Yes, jets can measure one of the fundamental physics constants! https://t.co/bNB2u86LdG

[Vanessa @vanessainstem]

had to sneak flour bakery and cafe into my acknowledgements lol

[Freya Blekman @freyablekman]

#CMSPaper 1279 looks for new undiscovered particles decaying to a b quark and a Higgs boson, a b quark and a Z boson, or a t quark and a W boson. These quark-like objects are common in predictions where more Higgs bosons exist. It is a #null result. https://t.co/swc5zYMYcy

[Science Magazine @ScienceMagazine]

An accelerator known as a muon collider could revolutionize particle physics—if it can be built.

Read that story and more this week in Science: https://t.co/Hh16dHf2bu

[Javier M. Duarte @jmgduarte]

Just wrapped up a fun @AspenPhysics talk on "Machine Learning at Future Colliders" https://t.co/9qILhFoMHL based on https://t.co/EZ1e82idla w/ @JoosepPata, Farouk Mokhtar, Mengke Zhang, @ericwulff, David Southwick, @MariaGirone4, @a3d3institute

[Rikab Gambhir @Cornkab]

Give me a Moment to talk about ML for jet tagging:

"Moments of Clarity", a generalization of Deep Sets networks!
https://t.co/5m3bg3Zos5

[Gregor Kasieczka @GregorKasieczka]

🎉🎉Out now: OmniJet-α: The first cross-task foundation model for particle physics (2403.05618)

Transfer from generative pre-training to supervised classification improves data efficiency by 2-3 orders of magnitude!

Thanks to hard work by @joschka_birk & AnnaH @quunihh @UHHMIN

[Rikab Gambhir @Cornkab]

Cool paper I happened to find on arXiv randomly!

"Seeing Double" 👀 with @BPNachman
https://t.co/0w6CuyPat3

[John M. Martyn @JohnMMartyn]

A recent passion project of mine has been to communicate a research result through an animated video, in an intuitive and pedagogical format. I’m happy to finally share this video, in which I discuss our recent work on neural-network quantum field states:

https://t.co/UPy91UZdSM

[Rikab Gambhir @Cornkab]

We choose to go to the muon [...] not because it is easy but because it is hard

[Muon Collider @MuonCollider]

THIS. IS. OUR. MUON. SHOT!

[Muon Collider @MuonCollider]

THIS. IS. OUR. MUON. SHOT!

[Gregor Kasieczka @GregorKasieczka]

Sorry for silence recently, busy hosting #ML4Jets in Hamburg.

Thanks for all the seriously excellent developments on AI applied to particle physics (& beyond)

Not going to summarize the 133 (!) contributions here, but you can check out the slides:
https://t.co/MEWi3PR2IB