Davide Venturelli

Rare opportunity to be considered for USRA quantum team. Very flexible towards a variety of profiles (junior to senior). Work to be done in USA (but UK possible). Topics: AI Reasoning, QEC/FT Architectures, Quantum Algos, Quantum Thermodynamics. Likely NASA affiliation. workforcenow.adp.com/mascsr/default…

@louisnandre @episteme Amazing

Today, we're announcing @episteme, a new type of R&D company that recruits exceptional scientists to pursue high-impact ideas. Science isn’t bottlenecked by the availability of talent, but by places where they can do their best work. Scientific progress has driven human flourishing: extending lifespans, lifting billions from poverty, and expanding our understanding of the universe. But history is littered with transformational ideas that were overlooked in their time. That problem is still acute today: too much promising talent remains uncultivated, and remarkable ideas die in the lab or are filtered out by misaligned incentives. Today, scientists face suboptimal paths for translating their research into impact: academia is famously risk-averse and incentivizes publications and winning grants vs. translational research. Industry is too often focused on short‑term incentives. And startups lack the substantial capital, expertise, and complex infrastructure needed to deliver long-term scientific progress. On top of that, recent funding cuts in the US mean the overall supply of ideas is decreasing. Put together, the global scientific production system is operating at a fraction of its capacity. How Episteme operates is different: we identify great scientists who can meaningfully benefit humanity, but who aren’t supported efficiently within traditional institutions today. Researcher by researcher, we work with them to determine the bespoke resources, operational support, and environmental conditions to execute on their research. We bring them together in-house, and provide those resources to ensure that their breakthroughs are deployed for real-world impact. We’ve already assembled an amazing team of operators, ranging from the Gates Foundation, DeepMind, ARPAs, DoE – just to name a few – and researchers who are pursuing important problems across physics, biology, computing, and energy. Our team has spoken to hundreds of researchers across disciplines and geographies to understand the limitations they’re facing and what can be done better, and designed Episteme for them. We’re backed by individuals like @sama, Masayoshi Son, and other long-term partners who share our mission of enabling ambitious science for tangible human impact. About me: I started working as a researcher 9 years ago, on problems ranging from AI-driven drug discovery to developing brain-machine interfaces. It was that experience that led me to realize that so many scientists with great potential to change the world don’t have access to opportunities equal to their capacities. @sama and I believe that much better science should happen for humanity, and that a new engine is needed to support that. We decided to cofound Episteme together, and I am incredibly grateful for Sam’s unwavering support as a thought partner and founding investor. Our conviction is that by supporting the right people with the right incentives, we're set to generate breakthrough discoveries to benefit humanity. We cannot rely on the course of history to shape scientific progress; we need to proactively shape the system by supporting the most talented people with the right resources and incentives.

@tdietterich @arxiv Why not create a CS subcategory for unreviewed position/review papers and dump those pre-prints there? I think the world needs a “screening-only” venue for all sort of preprints.

The Computer Science section of @arxiv is now requiring prior peer review for Literature Surveys and Position Papers. Details in a new blog post

@CBroedersz @NatureNV Non-paywalled version, please?

The Jarzynski relation provides profound insight into the thermodynamics of small systems like biomolecules and molecular motors. To celebrate the 25th anniversary of the Jarzynski relation 🥳, Pierre Ronceray and I wrote a short piece for @NatureNV 👇nature.com/articles/d4158…

@four_form @arxiv THIS !

Enough is enough Split quant-ph!!! @arxiv

AWS is hardly the most popular access line for Rigetti and IonQ which are focused on direct enterprise or government access without brokerage, so far. Also - at least for Rigetti - I am not sure if thats even possible to have a queue because the window is reserved when booked instead of being put in line. So all of this comparison does not make sense.

$ibm: 4644 $ionq: 1 $rgti: 0

@USRAedu @AFResearchLab @GeorgeMasonU @OTCatDOE @PhysicsIllinois @bosonqpsi @treq @capellaspace @Axiom_Space @infleqtion @Accenture_US @Boeing @LunateAi @ConnectedDMV

I am hosting the Quantum + Space Workshop at Quantum World Congress tomorrow! Super lineup. Join! linkedin.com/posts/davideve…

@ARPAE Can someone update us on this program? Has this been canceled? Thanks!

ARPA-E's QC3 program aims to harness the power of quantum computing to solve high-impact problems in chemistry and materials science. If you have an innovative quantum solution, submit a concept paper for QC3 by the deadline this Thursday, 11/21: #FoaId195cf4c7-1192-4435-8306-80c969ad5272" target="_blank" rel="nofollow noopener">arpa-e-foa.energy.gov/#FoaId195cf4c7….

@elonmusk @xai ! Fundamental Research would be wiped out by this simplification… more generally: engineers solve problems, researchers discover the problems worth solving

This false nomenclature of “researcher” and “engineer”, which is a thinly-masked way of describing a two-tier engineering system, is being deleted from @xAI today. There are only engineers. Researcher is a relic term from academia.

@NSERC_CRSNG Where is the project award list?

📣 #GoC celebrates $74 million in #NSERC_Alliance funding towards #Quantum science, and 100 years of quantum mechanics! Read more ▶️ tinyurl.com/2nhs8cut #IYQ2025 #NationalQuantumStrategy

Boeing, Axiom Space, Vescent, Qrypt, USRA join Infleqtion, Accenture, and Nebula Space Enterprises in DOE’s Quantum in Space MOU! Learn more: bit.ly/3PExDGP

Its complex to understand true valuation of a deep tech company, but at some point it was less than $200M market cap which was crazy low considering even just the tangible assets (fridges, the fab etc) - valued much less than other quantum companies that have way less in revenue and talent.

Interesting developments on the #quantum computing stock market in the last quarter of 2024. What is your explanation?

Looks like I am the top expert in "AI infrastructure optimization" according to AI itself !!!! 🤓 LOL

HPE, qolab, 1QBit, UCSB, Synopsis, AMAT, USRA/NASA, FNAL punching hard in this latest position paper on quantum supercomputing! community.hpe.com/t5/blogs/bloga…

The eventual integration of quantum technologies into the IT/HPC infrastructure of the world is inevitable. Whatever the future holds, today there is a new force bringing stakeholders together to develop and deploy solutions that are inherently modular and transparently engineered. Good luck to TreQ, the quantum engineering company!

@jfitzsimons @horizon_quantum Best branding as usual !

I’ve never been one to put stickers on my laptop, but I’m sorely tempted by our new @horizon_quantum ones. If you’re at TQC, there’s a stash of these at our stand (unless they are already all gone).

Lots to built upon. It is painful to work in the era of utility scale "augmented NISQ" we live in - but we are up to the challenge because lessons from theory cannot be the only guidance. Lots of QPU hours to burn. Lot of noise to tame. No pain no gain. Even if reliable advantage is not behind the corner, with every sweat drop we learn something valuable. We are far past running toy problems. More discussions on these general considerations at the IEEE QCE24 "The Next NISQ Phase" Panel: #pan03" target="_blank" rel="nofollow noopener">qce.quantum.ieee.org/2024/program/p…

The paper creates a new framework that can be profitably executed leveraging Ising machines of arbitrary size to solve problems of arbitrary size. We have some numerical evidence that for soc-epinions graphs (26k+ nodes MaxCut) if subproblems can work on thousands of variables then the decomposition method beats the state-of-art. We also have initial experimental evidence that quantum solvers as implemented by us are qualitatively different and can potentially allow faster convergence in some "oracle" terms.

Happy to advertise the great work led by our @phase_filip in collaboration with @UDelaware (Safro group) and @rigetti - to be presented in a few weeks at the IEEE High Performance Extreme Computing Conference: A Multilevel Approach For Solving Large-Scale QUBO Problems With Noisy Hybrid Quantum Approximate Optimization arxiv.org/pdf/2408.07793 - truly one of the largest scale experimental demo of hybrid quantum computing with remarkable performance and outlook for improvement.