Introducing NVIDIA cuPQC for GPU-Accelerated Post-Quantum Cryptography
In the past decade, quantum computers have progressed significantly and could one day be used to undermine current cybersecurity practices. If run on a quantum...
Accelerated Quantum Supercomputing with the NVIDIA CUDA-Q and Amazon Braket Integration
As quantum computers scale, tasks such as controlling quantum hardware and performing quantum error correction become increasingly complex. Overcoming these...
Introducing NVIDIA CUDA-QX Libraries for Accelerated Quantum Supercomputing
Accelerated quantum supercomputing combines the benefits of AI supercomputing with quantum processing units (QPUs) to develop solutions to some of the world’s...
NVIDIA Partners Accelerate Quantum Breakthroughs with AI Supercomputing
NVIDIA’s vision of accelerated quantum supercomputers integrates quantum hardware and AI supercomputing to turn today’s quantum processors into tomorrow’s...
Accelerating Google’s QPU Development with New Quantum Dynamics Capabilities
Quantum dynamics describes how complex quantum systems evolve in time and interact with their surroundings. Simulating quantum dynamics is extremely difficult...
Leverage AI Coding Assistants to Develop Quantum Applications at Scale with NVIDIA CUDA-Q
AI coding assistants have become ubiquitous across the software development landscape. Developers are increasingly using tools like GitHub Copilot, Amazon...
Accelerating Quantum Algorithms for Solar Energy Prediction with NVIDIA CUDA-Q and NVIDIA cuDNN
Improving sources of sustainable energy is a worldwide problem with environmental and economic security implications. Ying-Yi Hong, distinguished professor of...
Simulating Quantum Dynamics Systems with NVIDIA GPUs
Quantum dynamics describe how objects obeying the laws of quantum mechanics interact with their surroundings, ultimately enabling predictions about how matter...
AI techniques like large language models (LLMs) are rapidly transforming many scientific disciplines. Quantum computing is no exception. A collaboration between...
CUDA-Q Enabled Resource Reduction for Quantum Clustering Algorithms
Quantum computers can use the quantum properties of superposition, entanglement, and interference to generalize learnings and insights from data. Such quantum...
Performant Quantum Programming Even Easier with NVIDIA CUDA-Q v0.8
NVIDIA CUDA-Q (formerly NVIDIA CUDA Quantum) is an open-source programming model for building hybrid-quantum classical applications that take full advantage of...
New NVIDIA CUDA-Q Features Boost Quantum Application Performance
NVIDIA CUDA-Q (formerly NVIDIA CUDA Quantum) is an open-source programming model for building quantum accelerated supercomputing applications that take full...
Building a useful quantum computer in practice is incredibly challenging. Significant improvements are needed in the scale, fidelity, speed, reliability, and...
An Introduction to Quantum Accelerated Supercomputing
The development of useful quantum computing is a massive global effort, spanning government, enterprise, and academia. The benefits of quantum computing could...
NVIDIA CUDA-Q Introduces More Capabilities for Quantum Accelerated Supercomputing
NVIDIA CUDA-Q is an open-source programming model for building quantum-classical applications. Useful quantum computing workloads will run on heterogeneous...
Accelerate Quantum Circuit Simulation with NVIDIA cuQuantum 23.10
NVIDIA cuQuantum is an SDK of optimized libraries and tools for accelerating quantum computing workflows. With NVIDIA Tensor Core GPUs, developers can use it to...
