Riverlane

@riverlane.com

A team of #QuantumErrorCorrection (QEC) experts, helping quantum computers scale and tackle errors across qubit types 🧪 www.riverlane.com

We’re thrilled to announce that our collaborative research with @rigetti.bsky.social on real-time, low-latency quantum error correction (QEC) has been published in Nature Communications. 🚀 Huge congratulations to the researchers and engineers at Riverlane and Rigetti who made this possible! 🧪🧵1/3

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⚡ Going live in 4 hours! ⚡ Sign up to our #webinar with experts from #NVIDIA, Hewlett Packard Enterprise, Zurich Instruments, IQM Quantum Computers and Infleqtion here: www.riverlane.com/qec-technolo... #QuantumErrorCorrection #quantum 🧪

Riverlane@riverlane.com · 4mo ago

👉 Last chance to sign up — don’t miss Riverlane’s #QEC Technology Roadmap webinar! Join us for a deep dive into the milestones we believe will accelerate utility‑scale #quantumcomputing by 3–5 years 📅 Thursday 23 April, 16:00–17:15 UK time Register for free here: www.riverlane.com/qec-technolo...

👉 Last chance to sign up — don’t miss Riverlane’s QEC Technology Roadmap webinar!

Join Neil Gillespie, VP of Applied Research, for a deep dive into the technical milestones we believe will accelerate utility‑scale quantum computing by 3–5 years. 

The presentation will be followed by a live Q&A and a two-part panel discussion: "The Quantum Computing Stack: On the Path to Utility Scale" with Krysta Svore (NVIDIA), Masoud Mohseni (Hewlett Packard Enterprise), Tobias Thiele (Zurich Instruments), Frank Deppe (IQM Quantum Computers) and Ben Yuen (Infleqtion).

📅 When: Thursday 23 April 2026, 16:00–17:15 UK time

Register for free here: https://www.riverlane.com/qec-technology-roadmap#roadmap_webinar

Simulating non-computational errors just got faster⚡️ Noncomputational errors pose a significant challenge for quantum error correction, are hard to simulate and account for during decoding. We’ve released Deltakit-Stim to fix this. Deltakit-Stim... 🧵1/2

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👏We're excited to share our new paper showing that leakage mobility in superconducting qubits can itself act as a leakage-reduction unit (LRU) - i.e., moving leaked population so it can be flushed away: iopscience.iop.org/article/10.1... 🧵1/4 Here’s why it matters…

Leakage mobility in superconducting qubits as a leakage reduction unit

Leakage mobility in superconducting qubits as a leakage reduction unit, Camps, Joan, Crawford, Ophelia, Gehér, György P, Gramolin, Alexander V, Stafford, Matthew P, Turner, Mark

iopscience.iop.org

🎉 It's publication day! 🎉 Congrats to the team for a new @prxquantum.bsky.social paper where their 'ghost protocol' speeds up QEC cycle speeds 10x for AMO qubits 👻 journals.aps.org/prxquantum/a... 👏 Mark Turner, @quantumearl.bsky.social, Ophelia Crawford, Neil Gillespie, and Joan Camps

Scalable Decoding Protocols for Fast Transversal Logic in the Surface Code

A scalable decoding protocol enables fast logic with AMO qubits.

journals.aps.org

Riverlane@riverlane.com · last yr.

👻 We ain’t afraid of no ghost! A new #arXiv paper from our team proposes the 'ghost protocol’ to enable AMO qubits to catch up with superconducting qubits, which lag in #QEC cycle speeds. It addresses the challenges of scalable #QuantumErrorCorrection in the context of fast transversal logic👇🧪

Thinking about a career in #quantumcomputing but don't have a #quantum #physics degree? 🤔 You might be surprised! Our head of talent, Emily, shares crucial insights in her latest post, debunking common myths and offering practical advice for anyone looking to enter this exciting field... 🧪🧵1/5

Turns out, the biggest bottleneck in #quantum isn't the hardware, it's you – the talent! 🤯 Recent US House hearings echoed our QEC Report 2025: only a few hundred folks worldwide currently have the skills to genuinely advance #QuantumErrorCorrection 👉 thequantuminsider.com/2026/01/23/e... 🧵1/2

Experts Tell U.S. Lawmakers Quantum’s Next Bottleneck Isn’t Hardware — It’s People

U.S. government officials warned at a House Science Committee hearing that workforce shortages in quantum information science.

thequantuminsider.com

🧪🎉 Congrats to the team for their new Nature Comms paper on our Local Clustering Decoder (LCD)! Until now, decoders have faced a hard trade-off: ⚡ fast but inaccurate 🎯 accurate but too slow 📈 or unable to scale With LCD, they show this trade-off can be broken 💪 www.nature.com/articles/s41...

Local clustering decoder as a fast and adaptive hardware decoder for the surface code - Nature Communications

A key component of quantum error correction is the decoding algorithm, which needs to be accurate but also with a computational overhead that doesn’t lead to backlogs and allows fast logical clock rat...

nature.com