New paper on stabilizer-rank bounds for qutrit magic-state orbits. 📄 arxiv.org/abs/2605.28586 💻 github.com/unitaryfound...

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

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. Farrokh Labib, David Nicholaeff, @willzeng.bsky.social 📜 scirate.com/arxiv/2604.2... ✍️ vprusso.github.io/posts/ghz_cs/

New preprint with @njohnston.ca: "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

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/2603.0...

Metriq is introduced as an open-source platform that standardizes quantum computer benchmarking by integrating benchmark design, execution, data collection, and public reporting into a unified workflow. @cosenal.bsky.social , @vrusso.bsky.social, @nathanshammah.bsky.social arxiv.org/abs/2603.08680

🎉🎉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/2603.0...

New paper: Uses quantum circuit "unoptimization" as a noise-scaling technique for the ZNE (zero-noise extrapolation) error mitigation strategy. 📜 Paper: arxiv.org/abs/2503.06341 💻Code: bit.ly/3FwaYKY ✍️Blog: bit.ly/43Ep7jf

Happy to announce that the |toqito> software project was selected for Google Summer of Code! If you are a student or recent open-source developer and want to contribute to quantum computing software, check out |toqito>! github.com/vprusso/toqito

Layerwise Richardson extrapolation (LRE) is a quantum error mitigation (QEM) technique defined in (the recently published): journals.aps.org/pra/abstract... LRE has been implemented in mitiq as a QEM method you can use today! mitiq.readthedocs.io/en/stable/gu...