Riverlane explores faster quantum calibration with NVIDIA GPUs
The company tests NVIDIA H100 GPUs to reduce decoder training from minutes to seconds using AI.
See the latest news and media coverage for Riverlane. We track all announcements, press releases, and industry mentions in real time, all in one place.
Quantum error correction technology company
riverlane.comLast updated
In short: Riverlane received NVIDIA investment, opened its US headquarters, and published a quantum error correction roadmap.
The company tests NVIDIA H100 GPUs to reduce decoder training from minutes to seconds using AI.
The collaboration combines Riverlane’s real-time QEC technology with Infleqtion’s neutral-atom hardware and software stack to develop reliable logical qubits.
The company partnered with Microsoft, met Governor Moore, and presented on fault-tolerant quantum computing at Quantum World Congress.
The Local Clustering Decoder, published in Nature Communications, delivers real-time speed, high accuracy, and adaptivity on FPGA hardware. It powers Deltaflow deployments on multiple quantum systems.
NVIDIA has invested in Riverlane to advance real-time quantum error correction (QEC) and GPU decoder calibration. This ...
In a sign of confidence in Riverlane's work and the sector in general, the company announced on Tuesday that it had raised US$75mil (RM333.72mil) in...
Riverlane, a startup that makes semiconductors to help reduce quantum computing errors, raised $75 million in its latest round of funding.
In November 2022, Riverlane demonstrated the world’s fastest Decode solution that allows Deltaflow.OS to support far larger numbers of qubits than previously possible. By the...
Track Riverlane and your other target companies to get real-time alerts and weekly summaries delivered straight to your inbox.
Browse news for competitors to Riverlane and other trending companies.