New Berkeley Lab and NVIDIA Partnership Integrates Quantum and AI Supercomputing for Next-Generation Research
Berkeley Lab and NVIDIA formed a partnership to integrate quantum and AI supercomputing.
Organization
NVIDIA's CUDA-Q hybrid quantum software stack and related developer posts.
Tech focus: Software / QEC.
Nasdaq: NVDA. Diversified issuer. The collector uses NVIDIA's quantum-computing tag feed rather than the full company blog.
Berkeley Lab and NVIDIA formed a partnership to integrate quantum and AI supercomputing.
Qblox announced integration of NVIDIA DGX Spark leveraging NVIDIA NVQLink for hybrid quantum computing on October 22, 2026.
Alice & Bob decoded LDPC-cat codes on GPUs with NVIDIA NVQLink.
AWS Center for Quantum Computing and NVIDIA CUDA-Q reported an Ising-based decoder for quantum error correction on AWS.
Infleqtion advanced fault-tolerant quantum computing software with NVIDIA CUDA-Q Logical.
Iceberg Quantum and Diraq confirmed Pinnacle’s logical advantage for spin qubits using NVIDIA CUDA-Q Logical.
NVIDIA CUDA-Q and Quantum Motion developed automation of fault-tolerant compilation for silicon spin quantum architectures using CUDA-Q Logical.
Quantinuum and NVIDIA validated a generative quantum AI framework for pharmaceutical research and development.
NVIDIA CUDA-Q announced NVIDIA Ising for fully automated quantum computer calibration with enhanced in-context learning.
AWS Center for Quantum Computing and NVIDIA CUDA-Q released the CUDA-Q Applications Hub and Academic Library on Amazon Braket.
NVIDIA CUDA-Q reported Ising decoding that reduces color code logical error rates by over 300 times.
Diraq announced integration of NVIDIA Ising and NVQLink with its quantum computing platform.
NVIDIA added intent-based security profiles to Unified Fabric Manager for Quantum InfiniBand to support multi-tenant environments.
NVIDIA CUDA-Q introduced NVIDIA Ising AI-powered workflows for building fault-tolerant quantum systems.
NVIDIA CUDA-Q QEC added support for real-time decoding via low-latency GPU decoders that operate concurrently with a quantum processing unit.
NVIDIA CUDA-Q released cuQuantum SDK v25.11 with advanced large-scale quantum simulation techniques.
NVIDIA CUDA-Q published material on building qubits using GPU-accelerated computing.
NVIDIA CUDA-Q presented the NVQLink architecture for integrating accelerated computing with quantum processors.
NVIDIA CUDA-Q announced cuQuantum integrations in QuTiP and scQubits.
NVIDIA CUDA-Q released cuPQC 0.4 with accelerated hash functions and Merkle Trees.
NVIDIA CUDA-Q released CUDA-QX version 0.4 for quantum error correction and application development.
NVIDIA released CUDA-Q 0.12, expanding the toolset for developing hardware-performant quantum applications.
NVIDIA added dynamics gradients, DMRG, and simulation speed improvements to its cuQuantum library.
NVIDIA CUDA-Q introduced CUDA-Q Academic to integrate AI supercomputing into quantum education.
Infleqtion optimized portfolios using Q-CHOP and NVIDIA CUDA-Q Dynamics.
NVIDIA CUDA-Q published material on its platform for quantum applications research.
NVIDIA CUDA-Q announced support for quantum error correction research using its platform.
NVIDIA and QuEra developed an AI method to decode quantum errors using CUDA-Q.
NVIDIA CUDA-Q ran a logical qubit application on Infleqtion's QPU.
NVIDIA CUDA-Q introduced cuPQC, a library for GPU-accelerated post-quantum cryptography.