Gabriel Matos

Research Scientist at @QuantinuumQC

[Matthias Rosenkranz ✨ @rosenkranz]

Very happy that our new paper on quantum Gibbs state preparation is out in time for your holiday reading list 🎅.

https://t.co/VDoYEeWTr8

This bridges the gap between recent theoretical advances in Lindblad-based simulation algorithms and their quantum hardware implementation

[Machine Learning: Science and Technology @MLSTjournal]

Great new work by @Sam_Duffield @rosenkranz and Marcello Benedetti @QuantinuumQC @cambridgecqc - '#Bayesian learning of parameterised #quantumcircuits' - https://t.co/dgTJJHeI0Y #machinelearning #quantum #quantumcomputing #QML #AI #algorithms #HPC #qubits #compchem

[Gabriel Matos @Gabriel_F_Matos]

@mstechly The second paper you are looking for should be this one! https://t.co/nLz6ya02Xb

[PRX Quantum @PRX_Quantum]

Instead of directly preparing Gibbs states, a more efficient quantum algorithm to estimate them is proposed: generate thermal pure quantum states and use classical shadow tomography. @luukcoopmans, @quantinuumQC

https://t.co/GbvRYxd8XD

[Mushtaq Bilal, PhD @MushtaqBilalPhD]

Recently, I wrote a bunch of Zotero tutorials that went (mildly) viral on #AcademicTwitter.

Thought I'd put them all together so folks can find them easily.

So, here goes 👇

Zotero 101: A meta-thread 🧵

Retweet to share it with your friends/colleagues.

[Andrey Cheptsov @andrey_cheptsov]

An amazing read on Python's walrus operator by @Martin_Heinz_ https://t.co/KPQavrUKEI

[AI Pub @ai__pub]

// Stable Diffusion, Explained //

You've seen the Stable Diffusion AI art all over Twitter.

But how does Stable Diffusion _work_?

A thread explaining diffusion models, latent space representations, and context injection:

1/15

[Azure Quantum @MSFTQuantum]

Want to explore #QuantumComputing?

You still have time to join the #AzureQuantum Summer 2022 Hackathon. Work on a project of your choice and get the chance to win a Surface Go 3!

Read the details: https://t.co/8ymjn6DXyS

[Viral B. Shah @Viral_B_Shah]

#julialang 1.8 released. Highlights: https://t.co/QgwU0ZL0v9

[Enrico Fontana @EnricoFontana19]

Alright I’m gonna attempt the impossible: summarising 2 quantum papers in a thread < 10 tweets.
Why you ask? Because with the amazing @quantumcris of @QuantinuumQC we recently released 2 articles exploring Fourier analysis for variational quantum algorithms (VQAs).

[Unitary Foundation @unitaryfdn]

Are you working with Quantum Technology?🧑‍💻 Great-- you qualify to apply for our grant!

Learn more and apply here! https://t.co/TKTS5KP7J5

[Institute for Robust Quantum Simulation @RQuantumSim]

Victor Albert (@victorvalbert) is hosting three separate virtual lectures next week on quantum error correction and bosonic coding.

Albert is a physicist @NIST and @UofMaryland.

Learn more: https://t.co/UrUJyjPmiy #QuantumComputing

[Matthias Rosenkranz ✨ @rosenkranz]

What can we gain from a Bayesian perspective on training parameterised quantum circuits? Turns out suitable priors can prune circuits and stochastic gradient Langevin dynamics can help avoid local optima.

https://t.co/IFh8oiIzqY
A walkthrough 🧵

[Marco Tulio Ribeiro @marcotcr]

I never tweet, but here is a blog post I wrote for an intern, may be useful for others too...
Part 1: https://t.co/DhE55I7ie7
Part 2: https://t.co/ncpJTb4otF

[Jacob Biamonte @JacobBiamonte]

“Tensor networks in machine learning” (intro/tutorial).

Will appear in
@euromathsoc

With Sengupta, Adhikary and
@oseledetsivan

https://t.co/iqoSYognew

[IOP Theory of Condensed Matter Group @TheoryIOP]

DEADLINE **TODAY**
Physics by the Lake is a national summer school on theoretical condensed matter physics consisting of 2 weeks of lectures by experts in the field, tutorials solving real problems and also a series of after-dinner seminars
Find more here: https://t.co/LP1mYpzhB9

[Quantum Many-Body Physics @ Leeds @theoryleeds]

Thanks to all the speakers and participants for the inspiring meeting, and see you soon at the 25th Symposium (location TBC).