As quantum computers scale, tasks such as controlling quantum hardware and performing quantum error correction become increasingly complex. Overcoming these challenges requires tight integration between quantum processing units (QPUs) and AI supercomputers, a paradigm known as accelerated quantum supercomputing. Increasingly, AI methods are being used by researchers up and down the quantum…
]]>Quantum dynamics describes how complex quantum systems evolve in time and interact with their surroundings. Simulating quantum dynamics is extremely difficult yet critical for understanding and predicting the fundamental properties of materials. This is of particular importance in the development of quantum processing units (QPUs), where quantum dynamics simulations enable QPU developers to…
]]>NVIDIA CUDA-Q (formerly NVIDIA CUDA Quantum) is an open-source programming model for building hybrid-quantum classical applications that take full advantage of CPU, GPU, and QPU compute abilities. Developing these applications today is challenging and requires a flexible, easy-to-use coding environment coupled with powerful quantum simulation capabilities to efficiently evaluate and improve the…
]]>NVIDIA CUDA-Q (formerly NVIDIA CUDA Quantum) is an open-source programming model for building quantum accelerated supercomputing applications that take full advantage of CPU, GPU, and QPU compute abilities. Developing these applications today is challenging and requires an easy-to-use coding environment coupled with powerful quantum simulation capabilities to efficiently evaluate and improve the…
]]>NVIDIA CUDA-Q is an open-source programming model for building quantum-classical applications. Useful quantum computing workloads will run on heterogeneous computing architectures such as quantum processing units (QPUs), GPUs, and CPUs in tandem to solve real-world problems. CUDA-Q enables the acceleration of such applications by providing the tools to program these computing architectures…
]]>NVIDIA CUDA-Q is a platform for building quantum-classical computing applications. It is an open-source programming model for heterogeneous computing such as quantum processor units (QPUs), GPUs, and CPUs. CUDA-Q accelerates workflows such as quantum simulation, quantum machine learning, quantum chemistry, and more. It optimizes these workflows as part of its compiler toolchain and uses the…
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