The world’s largest quantum circuit for industrial simulation to promote the development of quantum computing in space
ISC –NVIDIA, Rolls-Royce, and Classiq, a quantum software company, today announced a quantum computing breakthrough aimed at increasing the efficiency of jet engines.
Using NVIDIA’s quantum computing platform, the companies designed and simulated the world’s largest computational fluid dynamics (CFD) quantum computing circuit — a circuit measuring 10 million layers with a depth of 39 qubits. With GPUs, Rolls-Royce is preparing for a quantum future despite the limitations of today’s quantum computers, which only support circuits of a few depths.
Rolls-Royce plans to use the new circuit on its journey to the quantum advantage in CFD to model the performance of jet engine designs in simulations using both classical and quantum computing methods.
These achievements are significant to Rolls-Royce, the world leader in the aerospace industry, in its work to build state-of-the-art jet engines that support the energy transition with more sustainable flying.
“Designing jet engines, which are some of the most complex devices on Earth, is expensive and computationally difficult,” said Ian Buck, vice president of Hypercale and HPC at NVIDIA. “NVIDIA’s quantum computing platform offers Rolls-Royce a potential path to address these problems head-on while accelerating its research and future development of more efficient jet engines.”
“Applying both classical and quantum computing methods directly to the challenge of jet engine design will help us speed up our processes and perform more sophisticated calculations,” said Lee Lapworth, Computational Science Fellow at Rolls-Royce.
Rolls-Royce and its partner, Israel-based Classiq, designed the circuit using the Classiq synthesis engine and then simulated it using nvidia® A100 Tensor Core GPUs. The speed and scale of the process is made possible by NVIDIA cuQuantuma software development toolkit that includes libraries and tools optimized to accelerate quantum computing workflows.
NVIDIA Grace Hopper accelerates quantum computing
NVIDIA delivers a unified computing platform to accelerate breakthroughs in quantum research and development across disciplines. nvidia Grace Hopper Superchip, which combines the industry-leading performance of NVIDIA Hopper™ architecture GPUs with the versatility of gaming NVIDIA Grace CPUsideally designed for large-scale quantum simulation workloads.
In addition, high speed, low latency NVIDIA NVLink®-C2C bind It makes classical systems built with a superchip ideally suited for interconnection with quantum processors, or quantum processors QPUs. With a total of 600 GB of quickly accessible memory per node, Grace Hopper allows the quantum ecosystem to push these simulations to a larger scale.
A strategic bridge to the quantum future, Grace Hopper powers DGX™ Quantum, the world’s first GPU-accelerated quantum computing system that combines quantum computing with neoclassical computing. NVIDIA provides it to developers, too NVIDIA CUDA® Quantuma powerful open source programming model that bridges GPUs and QPUs.
NVIDIA’s quantum ecosystem is expanding
A wide variety of quantum computing research in the world is now working on NVIDIA GPUs.
The Jülich Supercomputer Centre, one of Europe’s largest quantum computing facilities, at the International Study Center has announced plans to build Quantum Computing Lab with NVIDIA, which highlights the growing importance of hybrid quantum computing systems. The lab will also help developers advance the field of quantum computing with tools such as CUDA Quantum.
in addition to, ORCA computing It is the latest CUDA Quantum fusion QPU generator, combining optical quantum computer and machine learning graphics processing units (GPUs). TensorFlow Quantum And the flame Two popular quantum machine learning frameworks now also integrate cuQuantum. The majority of quantum computing software in the world today supports GPU acceleration through the NVIDIA quantum platform.
Learn more about the NVIDIA quantum computing platform at ISC.
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