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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.02512 |
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| _version_ | 1866916146283806720 |
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| author | Asadi, Ali Dusko, Amintor Park, Chae-Yeun Michaud-Rioux, Vincent Schoch, Isidor Shu, Shuli Vincent, Trevor O'Riordan, Lee James |
| author_facet | Asadi, Ali Dusko, Amintor Park, Chae-Yeun Michaud-Rioux, Vincent Schoch, Isidor Shu, Shuli Vincent, Trevor O'Riordan, Lee James |
| contents | We introduce PennyLane's Lightning suite, a collection of high-performance state-vector simulators targeting CPU, GPU, and HPC-native architectures and workloads. Quantum applications such as QAOA, VQE, and synthetic workloads are implemented to demonstrate the supported classical computing architectures and showcase the scale of problems that can be simulated using our tooling. We benchmark the performance of Lightning with backends supporting CPUs, as well as NVidia and AMD GPUs, and compare the results to other commonly used high-performance simulator packages, demonstrating where Lightning's implementations give performance leads. We show improved CPU performance by employing explicit SIMD intrinsics and multi-threading, batched task-based execution across multiple GPUs, and distributed forward and gradient-based quantum circuit executions across multiple nodes. Our data shows we can comfortably simulate a variety of circuits, giving examples with up to 30 qubits on a single device or node, and up to 41 qubits using multiple nodes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_02512 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Hybrid quantum programming with PennyLane Lightning on HPC platforms Asadi, Ali Dusko, Amintor Park, Chae-Yeun Michaud-Rioux, Vincent Schoch, Isidor Shu, Shuli Vincent, Trevor O'Riordan, Lee James Quantum Physics Distributed, Parallel, and Cluster Computing Emerging Technologies Computational Physics We introduce PennyLane's Lightning suite, a collection of high-performance state-vector simulators targeting CPU, GPU, and HPC-native architectures and workloads. Quantum applications such as QAOA, VQE, and synthetic workloads are implemented to demonstrate the supported classical computing architectures and showcase the scale of problems that can be simulated using our tooling. We benchmark the performance of Lightning with backends supporting CPUs, as well as NVidia and AMD GPUs, and compare the results to other commonly used high-performance simulator packages, demonstrating where Lightning's implementations give performance leads. We show improved CPU performance by employing explicit SIMD intrinsics and multi-threading, batched task-based execution across multiple GPUs, and distributed forward and gradient-based quantum circuit executions across multiple nodes. Our data shows we can comfortably simulate a variety of circuits, giving examples with up to 30 qubits on a single device or node, and up to 41 qubits using multiple nodes. |
| title | Hybrid quantum programming with PennyLane Lightning on HPC platforms |
| topic | Quantum Physics Distributed, Parallel, and Cluster Computing Emerging Technologies Computational Physics |
| url | https://arxiv.org/abs/2403.02512 |