NVIDIA cuQuantum is an SDK of optimized libraries and tools that accelerate quantum computing emulations at both the circuit and device level by orders of magnitude. With NVIDIA Tensor Core GPUs, developers can speed up quantum computer simulations based on quantum dynamics, state vectors, and tensor network methods by orders of magnitude. In many cases, this provides researchers with simulations…
]]>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 cuQuantum is an SDK of optimized libraries and tools for accelerating quantum computing workflows. With NVIDIA Tensor Core GPUs, developers can use it to speed up quantum circuit simulations based on state vector and tensor network methods by orders of magnitude. cuQuantum aims to deliver at the speed of light on NVIDIA GPUs and CPUs for quantum circuit simulations.
]]>QHack is an educational conference and the world’s largest quantum machine learning (QML) hackathon. This year at QHack 2023, 2,850 individuals from 105 different countries competed for 8 days to build the most innovative solutions for quantum computing applications using NVIDIA quantum technology. The event was organized by Xanadu, with NVIDIA sponsoring the QHack 2023 NVIDIA Challenge.
]]>As of March 21, 2023, QODA is now CUDA Quantum. For up-to-date information, see the CUDA Quantum page. Quantum circuit simulation is the best means to design quantum-ready algorithms so you can take advantage of powerful quantum computers as soon as they are available. NVIDIA cuQuantum is an SDK that enables you to leverage different ways to perform quantum circuit simulation. cuStateVec…
]]>As of March 21, 2023, QODA is now CUDA Quantum. For up-to-date information, see the CUDA Quantum page. Quantum algorithm researchers in government, enterprise, and academia are interested in developing and benchmarking novel quantum algorithms on ever-larger quantum systems. Use cases include drug discovery, cybersecurity, high energy physics, and risk modeling. However…
]]>As of March 21, 2023, QODA is now CUDA Quantum. For up-to-date information, see the CUDA Quantum page. Quantum circuit simulation is critical for developing applications and algorithms for quantum computers. Because of the disruptive nature of known quantum computing algorithms and use cases, quantum algorithms researchers in government, enterprise, and academia are developing and…
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