Quantum Networkpowered by
searchSubscribe
Quantum Network

News, research, careers and the quantum industry, in one place.

  • alternate_email
  • search

Explore

  • Editorial
  • Research Hub
  • Events
  • Opportunities
  • About Us

Community

  • Join the Community
  • Learning Resources
  • Contact Us

Contact

A-307, Kailash Business Park,
Vikhroli (W), Mumbai – 400079

022 49646504

[email protected]

  • Newsletter
  • India Quantum Pulse
Quantum Networkpowered by
searchSubscribe
NVIDIA Takes Strategic Stake in Riverlane to Accelerate Real-Time Quantum Error Correction and GPU Decoder Calibration - Quantum Computing Report
RESEARCH·Oct 23, 2026·1 MIN READ

NVIDIA Takes Strategic Stake in Riverlane to Accelerate Real-Time Quantum Error Correction and GPU Decoder Calibration - Quantum Computing Report

NVIDIA Takes Strategic Stake in Riverlane to Accelerate Real-Time Quantum Error Correction and GPU Decoder Calibration Quantum Computing Report

Source

Quantum Computing Report

Published Oct 23, 2026

Summarised/rewritten with AI from Quantum Computing Report

Read original articlearrow_forward

NVIDIA Takes Strategic Stake in Riverlane to Accelerate Real-Time Quantum Error Correction and GPU Decoder Calibration Quantum Computing Report

ERROR-CORRECTIONRESEARCH

Report a problem / takedown

ABOUT THIS STORY

Source
Quantum Computing Report
Published
Oct 23, 2026
Category
RESEARCH
Read original articlearrow_forward

More from Quantum Network

Google Quantum AI & DeepMind Demonstrate Modular Hyperbolic Codes for Over 30x QEC Overhead Reduction
RESEARCH

Google Quantum AI & DeepMind Demonstrate Modular Hyperbolic Codes for Over 30x QEC Overhead Reduction

Researchers from Google Quantum AI, Google DeepMind, and MIT have developed a modular quantum error correction (QEC) architecture that significantly reduces the physical qubit overhead required for quantum computing. This new approach, detailed in a technical manuscript on arXiv, utilizes modular hyperbolic codes to achieve over 30x savings in qubit overhead compared to standard 2D surface codes. The architecture allows for high encoding rates without complex on-chip wiring, demonstrating hig...

Oct 15, 2026

arrow_forward
DOE ARPA-E Launches $37 Million QC3 Program Across Ten Quantum Chemistry Performers
RESEARCH

DOE ARPA-E Launches $37 Million QC3 Program Across Ten Quantum Chemistry Performers

The U.S. Department of Energy’s ARPA-E has launched the $37 million Quantum Computing for Computational Chemistry (QC3) program, funding ten research teams for three years. This initiative aims to achieve a 100-fold speedup over classical computation in high-impact energy applications by focusing on full-stack co-design across algorithms, error correction, and quantum hardware. Notably, QuEra Computing is a key hardware and algorithm co-design partner for three of the selected projects. The...

Oct 15, 2026

arrow_forward
Riverlane and NVIDIA Demonstrate Accelerated QEC Decoder Calibration Using GPU Processing
RESEARCH

Riverlane and NVIDIA Demonstrate Accelerated QEC Decoder Calibration Using GPU Processing

Riverlane and NVIDIA have demonstrated significant acceleration in quantum error correction (QEC) decoder recalibration using NVIDIA's H100 GPU. By adapting Riverlane's Local Clustering Decoder for GPU processing, they achieved up to 71x raw throughput gain and reduced training epochs from minutes to seconds. This advancement allows for more frequent and efficient recalibration, improving the accuracy of QEC systems and highlighting the growing role of GPUs in quantum computing. The post Riv...

Oct 14, 2026

arrow_forward
Alice & Bob Demonstrates GPU Decoding for LDPC-Cat Codes via NVIDIA NVQLink
RESEARCH

Alice & Bob Demonstrates GPU Decoding for LDPC-Cat Codes via NVIDIA NVQLink

Alice & Bob has demonstrated the GPU decoding of their LDPC-cat quantum error correction architecture using NVIDIA GPUs and the NVQLink system. This allows for microsecond-scale communication between quantum control systems and classical GPU supercomputers, enabling real-time error correction. The LDPC-cat architecture utilizes cat qubits and 2D LDPC codes to achieve low logical error rates for quantum computing. The post Alice & Bob Demonstrates GPU Decoding for LDPC-Cat Codes via...

Oct 14, 2026

arrow_forward
Quantum Network

News, research, careers and the quantum industry, in one place.

  • alternate_email
  • search

Explore

  • Editorial
  • Research Hub
  • Events
  • Opportunities
  • About Us

Community

  • Join the Community
  • Learning Resources
  • Contact Us

Contact

A-307, Kailash Business Park,
Vikhroli (W), Mumbai – 400079

022 49646504

[email protected]

  • Newsletter
  • India Quantum Pulse