Vincent Russo

INTROIT & PROPHECY AT 1420 MHZ OUT NOW. VIDEO BY ROBERT BEATTY. INFERNO. 29 MAY 2026. warp.net/introit-prophe…

New paper 📄 "Opportunities and challenges in scaling quantum error detection on hardware" We benchmark QED on noisy hardware up to 74 qubits with repetition + triangular color codes — mapping pseudothresholds and the real cost of scaling error detection. arxiv.org/abs/2605.02861

How do you verify a 100-qubit GHZ state without taking 200 measurements? Compressed sensing gets you there in O(log N). Plus flag qubits for error detection on binary-tree prep. w/ Farrokh Labib, David Nicholaeff, @wjzeng 📜 scirate.com/arxiv/2604.278… ✍️ vprusso.github.io/posts/ghz_cs/

22 MAY 2026. TOKYO BERLIN BARCELONA LONDON GLASGOW NEW YORK LOS ANGELES TICKETS LIVE FRIDAY 1 MAY. SIGN UP FOR ACCESS BY THURSDAY 30 APRIL, 15:00 BST. BOARDSOFCANADA.COM

INFERNO. 29 MAY 2026. boardsofcanada.com

New preprint with @NathanielMath: "Distinguishability of locally diagonal orthogonally invariant quantum states" Optimal measurements preserve LDOI structure, reducing optimization from n^4 to O(n^2) variables. For two-qubit cases: LOCC = SEP = PPT. arxiv.org/abs/2604.12808

@jxnlco I'd say mine is close :) github.com/vprusso Applied!

If your GitHub looks like this. Please apply. OpenAI.com/form/codex-for…

Quantum computers are getting better and more complicated and it’s important to have a system to transparently track progress. Some new updates from @unitaryfdn and open source collaborators in new work building the metriq-gym platform to do this.

How do you ensure quantum benchmarking happens in the open? Unitary Foundation has released an update to the open-source Metriq platform for collaborative benchmarking of quantum computers. We describe the platform in a new paper, which came out today: scirate.com/arxiv/2603.086…

All results are version-controlled in a public dataset and visible at metriq.info. The suite is designed to evolve. New benchmarks enter through community RFCs. Paper: arxiv.org/abs/2603.08680 Platform: metriq.info Code: github.com/unitaryfoundat…

Dispatching a suite of benchmarks on a device ∈ {IBM,Quantinuum, IQM, Rigetti, IonQ, OriginQ} using the metriq-gym CLI pip install metriq-gym github.com/unitaryfoundat…

🎉🎉New paper: "Metriq: A Collaborative Platform for Benchmarking Quantum Computers" 🎉🎉 We built an open platform to run the same benchmarks across quantum hardware from IBM, Quantinuum, IQM, Rigetti, IonQ, and OriginQ, then compared them all. scirate.com/arxiv/2603.086…

New preprint! We show that a simple greedy strategy (measure each qubit independently) is always competitive for learning Boolean properties of quantum sequences, and is exactly optimal iff the target function is affine. 🔗 arxiv.org/abs/2603.05452

@grvphy @JackSon27343129 @zlatko_minev Thank you, @grvphy , this is great! I've added these to the QEM protocols and have made an effort to explain them as best I can. Please feel free to let me know if anything should be changed, or open an MR/issue on GitHub! github.com/vprusso/qemzoo

@captainhamptons @JackSon27343129 @zlatko_minev Hey Vincent, We developed three EM techniques recently which might be a good addition: 1. Error Mitigation by Restricted Evolution (EMRE): a constant runtime protocol 2. Hybrid EMRE (HEMRE) 3. Physics-Inspired Extrapolation (PIE) arXiv for 1, 2: 2409.06636 arXiv for 3: 2505.07977

If you work on quantum error correction, be sure to check out The Error Correction Zoo: errorcorrectionzoo.org The Error Correction Zoo is an open, community-driven resource dedicated to compiling, organizing, and explaining known quantum error correction codes.

Code and numerics in toqito (v1.1.3): github.com/vprusso/toqito factor_width.py – compute factor width ≤ k is_k_incoherent.py – test k-incoherence learnability.py – test k-learnability of states Tutorial with examples from the paper: toqito.readthedocs.io/en/latest/auto…

Intractable regime: when both k and d scale with input, deciding k-learnability is NP-complete. NP membership: succinct certificates exist via Carathéodory (only n²+1 vectors needed, despite exponentially many POVM outcomes). NP-hardness: via reduction from k-Clique.

🎉🎉 New preprint: "The complexity of perfect quantum state classification" 🎉🎉 We introduce k-learnability: how many guesses you need to identify an unknown pure state with zero error. scirate: scirate.com/arxiv/2510.207… arXiv: arxiv.org/abs/2510.20789