NVIDIA, Rolls-Royce, and quantum software company Classiq have designed and simulated the world’s largest quantum computing circuit for computational fluid dynamics (CFD), measuring 10 million layers deep with 39 qubits. Rolls-Royce plans to use the new circuit to model jet engine design performance using classical and quantum computing methods. The circuit was designed using Classiq’s synthesis engine and simulated with NVIDIA A100 Tensor Core GPUs. This breakthrough aims to advance the development of quantum computing in aerospace and support more sustainable aviation.
Quantum Computing Breakthrough for Jet Engine Efficiency
NVIDIA, Rolls-Royce, and quantum software company Classiq have announced a quantum computing breakthrough aimed at increasing the efficiency of jet engines. The companies have designed and simulated the world’s largest quantum computing circuit for computational fluid dynamics (CFD), a circuit that measures 10 million layers deep with 39 qubits. Rolls-Royce plans to use the new circuit to achieve quantum advantage in CFD for modeling the performance of jet engine designs in simulations that use both classical and quantum computing methods.
This breakthrough is important for Rolls-Royce, a world leader in the aviation industry, as it works to build state-of-the-art jet engines that support the energy transition with more sustainable aviation. NVIDIA’s quantum computing platform provides Rolls-Royce with a potential path to tackle the computationally challenging and expensive process of designing jet engines.
By applying both classical and quantum computing methods to the challenge of designing jet engines, Rolls-Royce aims to accelerate its processes and perform more sophisticated calculations. The company’s partner, Israel-based Classiq, designed the circuit using its synthesis engine and then simulated it using NVIDIA A100 Tensor Core GPUs.
NVIDIA Grace Hopper Accelerates Quantum Computing
NVIDIA offers a unified computing platform for speeding breakthroughs in quantum research and development across disciplines. The NVIDIA Grace Hopper Superchip combines the performance of NVIDIA Hopper architecture GPUs with the versatility of NVIDIA Grace CPUs, making it ideal for giant-scale quantum simulation workloads.
The high-speed, low-latency NVIDIA NVLink-C2C interconnect makes classical systems built with the superchip optimally suited to link to quantum processors, or QPUs. With a total of 600GB of fast-accessible memory per node, Grace Hopper enables the quantum ecosystem to push simulations to an even larger scale.
Grace Hopper powers DGX Quantum, the world’s first GPU-accelerated quantum computing system combining quantum computing with state-of-the-art classical computing. NVIDIA also provides developers with NVIDIA CUDA Quantum, a robust open-source programming model that links GPUs and QPUs.
NVIDIA’s Quantum Ecosystem Expands
A vast array of the world’s quantum computing research now runs on NVIDIA GPUs. The Jülich Supercomputer Centre, one of Europe’s largest facilities for quantum computing, announced plans to build a quantum computing lab with NVIDIA, highlighting the growing importance of hybrid quantum-classical computing systems. The lab will also help developers advance the field of quantum computing with tools like CUDA Quantum.
ORCA Computing, a QPU builder, has integrated CUDA Quantum, combining its photonic quantum computer with GPUs for machine learning. TensorFlow Quantum and TorchQuantum, two popular quantum machine learning frameworks, now also integrate cuQuantum. The majority of the world’s quantum computing software today supports GPU acceleration with the NVIDIA quantum platform.
“Designing jet engines, which are one of the most complicated devices on earth, is expensive and computationally challenging,” said Ian Buck, vice president of hyperscale and HPC at NVIDIA. “NVIDIA’s quantum computing platform gives Rolls-Royce a potential path to tackle 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 designing jet engines will help us accelerate our processes and perform more sophisticated calculations,” said Leigh Lapworth, computational science fellow at Rolls-Royce.
In a Nutshell
NVIDIA, Rolls-Royce, and Classiq have collaborated to design and simulate the world’s largest quantum computing circuit for computational fluid dynamics, which could lead to more efficient jet engines. This breakthrough supports Rolls-Royce’s efforts to create sustainable aviation and advance quantum computing in the aerospace industry.
- NVIDIA, Rolls-Royce, and Classiq have announced a quantum computing breakthrough aimed at increasing efficiency in jet engines.
- The companies designed and simulated the world’s largest quantum computing circuit for computational fluid dynamics (CFD), measuring 10 million layers deep with 39 qubits.
- Rolls-Royce plans to use the new circuit for modelling jet engine performance in simulations that combine classical and quantum computing methods.
- The circuit was designed using Classiq’s synthesis engine and simulated using NVIDIA A100 Tensor Core GPUs and NVIDIA cuQuantum software development kit.
- NVIDIA’s Grace Hopper Superchip, which combines NVIDIA Hopper architecture GPUs with NVIDIA Grace CPUs, is designed for large-scale quantum simulation workloads.
- The Jülich Supercomputer Centre plans to build a quantum computing lab with NVIDIA, highlighting the importance of hybrid quantum-classical computing systems.
- ORCA Computing, TensorFlow Quantum, and TorchQuantum have integrated NVIDIA’s cuQuantum platform for GPU acceleration in quantum computing.
