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
NVDA · Market data loading
NVIDIA's CUDA-Q hybrid quantum software stack and related developer posts.
Tech focus: Software / QEC.
The owner of effectiveCapacity.com holds shares of IonQ (IONQ). Nothing here is investment advice. Not investment advice.
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.
AWS Center for Quantum Computing and NVIDIA CUDA-Q reported an Ising-based decoder for quantum error correction on AWS.
Alice & Bob decoded LDPC-cat codes on GPUs with NVIDIA NVQLink.
Iceberg Quantum and Diraq confirmed Pinnacle’s logical advantage for spin qubits using NVIDIA CUDA-Q Logical.
Also covered by Infleqtion, Quantum Motion
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.