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? Nvidia and Google are aiming to shape the future of technology by forming a major partnership in the field of quantum computing. This collaboration will increase quantum computing capacity and offer innovative solutions…

The roads towards quantum advantage are long and largely uncharted, but there are moments when you get a glimpse into how it will all tie together. I think this early demonstration of DGX Quantum is one such moment. The right tools for the task are emerging, scalable platforms that will allow taming the analog beast that is a quantum computer, with its myriad degrees of freedom and their noise. Quantum computing would like to hereby officially thank classical computing for making this possible (looking at you NVIDIA ??). Without GPU's and CPU's our QPU's would be limited to a few dozen qubits at best, drowning in their unmanageable parameter space. Machine learning can now help us calibrate the drive and readout of large QPUs, and devise clever ways to extract unwanted entropy from these systems, all at speeds yet unseen in standard ML (think μs instead of ms). It's now on us to keep on building the quantum future, but this time at scale!

At SC24, Anyon Technologies and NVIDIA announced the integration of Anyon’s quantum systems with the NVIDIA CUDA-Q platform, creating a seamless framework for hybrid quantum-classical computing. This collaboration merges Anyon’s quantum processors with NVIDIA’s GPU infrastructure, enabling powerful performance for industries such as AI, finance, and chemical engineering. ?? Learn more: https://lnkd.in/gXNUVwQM #QuantumComputing #HybridComputing #AI #Innovation

https://ow.ly/sYg750U9Ykq NVIDIA announced it is working with Google Quantum #AI to accelerate the design of its next-generation quantum computing devices using simulations powered by the NVIDIA CUDA-Q platform.

Infleqtion has made a major leap in #quantumcomputing using NVIDIA CUDA-Q to demonstrate two logical qubits, achieving error rates below those of physical qubits. Ready to explore fault-tolerant quantum applications? Get started with #CUDA-Q and Infleqtion’s Sqale QPU. ?? https://nvda.ws/4iHOu9c

https://ow.ly/sYg750U9Ykq NVIDIA announced it is working with Google Quantum #AI to accelerate the design of its next-generation quantum computing devices using simulations powered by the NVIDIA CUDA-Q platform.

https://lnkd.in/dTKy5Py2 NVIDIA has made significant strides in the realm of quantum computing with its CUDA-Q platform, which is designed to accelerate quantum computing efforts globally. The CUDA-Q platform is an open-source, QPU-agnostic framework that facilitates the integration of quantum processing units (QPUs) with classical high-performance computing systems. This groundbreaking platform has been adopted by supercomputing centers in Germany, Japan, and Poland, where it powers QPUs to perform complex calculations using the behavior of subatomic particles. The Jülich Supercomputing Centre in Germany, for instance, has integrated a QPU from IQM Quantum Computers with its JUPITER supercomputer, which is supercharged by NVIDIA's GH200 Grace Hopper Superchip. Similarly, the ABCI-Q supercomputer in Japan is advancing the nation's quantum computing initiative with a QPU from QuEra, powered by the NVIDIA Hopper architecture. In Poland, the Poznan Supercomputing and Networking Center has installed photonic QPUs built by ORCA Computing. These centers are exploring quantum applications across various fields, including AI, energy, biology, chemistry, and machine learning. The CUDA-Q platform enables these applications by allowing for a tight integration of quantum and GPU supercomputing, which is essential for the development of practical quantum computing applications. The platform also addresses challenges such as noisy qubits and the development of efficient algorithms, paving the way for advancements in quantum-integrated supercomputing. NVIDIA's efforts are not just limited to the CUDA-Q platform. The company has also introduced the NVIDIA DGX Quantum system, the world's first GPU-accelerated quantum computing system, which combines the NVIDIA Grace Hopper Superchip with Quantum Machines' OPX, a quantum control platform. This system is designed to enable researchers to build powerful applications that combine quantum computing with state-of-the-art classical computing. In summary, NVIDIA's CUDA-Q Centers are at the forefront of a new era in computing, where the fusion of quantum and classical computing paradigms holds the promise of solving some of the world's most complex problems. The company's commitment to open-source platforms and collaboration with supercomputing centers worldwide is setting new benchmarks in the field of accelerated quantum-classical computing.

?? #GOOGLE + #NVIDIA = #QUANTUM ??? Google Quantum AI?is using?the?Nvidia CUDA-Q?platform and the Nvidia Eos supercomputer to help develop its next-generation quantum computing devices. ??? The firm is using the platform to simulate the physics of its quantum processors as it works to?overcome?“noise” — a limitation of quantum computing hardware that allows it to run only a certain number of quantum operations before stopping. #innovation #technology #future #trends

Anyon Technologies has announced its integration with NVIDIA CUDA-Q, enabling hybrid quantum-classical computing solutions. This collaboration aims to enhance computational power by combining quantum and classical computing capabilities for more efficient problem-solving. The integration marks a significant step in advancing the potential of quantum computing for a wide range of industries. Stay tuned for how this development will shape the future of high-performance computing. https://lnkd.in/gQX3P-JT #AnyonTechnologies #QuantumComputing #NVIDIA #CUDAQ #TechInnovation #HybridComputing #ArtificialIntelligence #HighPerformanceComputing #ComputingSolutions #TechNews #UnderstandingEnterpriseTech #EnterpriseTechnologyNow #EnterpriseTechnologyToday