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| Hauptverfasser: | , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2504.21440 |
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| _version_ | 1866916986334740480 |
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| author | Mercurio, Alberto Huang, Yi-Te Cai, Li-Xun Chen, Yueh-Nan Savona, Vincenzo Nori, Franco |
| author_facet | Mercurio, Alberto Huang, Yi-Te Cai, Li-Xun Chen, Yueh-Nan Savona, Vincenzo Nori, Franco |
| contents | We present QuantumToolbox$.$jl, an open-source Julia package for simulating open quantum systems. Designed with a syntax familiar to users of QuTiP (Quantum Toolbox in Python), it harnesses Julia's high-performance ecosystem to deliver fast and scalable simulations. The package includes a suite of time-evolution solvers supporting distributed computing and GPU acceleration, enabling efficient simulation of large-scale quantum systems. We also show how QuantumToolbox$.$jl can integrate with automatic differentiation tools, making it well-suited for gradient-based optimization tasks such as quantum optimal control. Benchmark comparisons demonstrate substantial performance gains over existing frameworks. With its flexible design and computational efficiency, QuantumToolbox$.$jl serves as a powerful tool for both theoretical studies and practical applications in quantum science. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_21440 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | QuantumToolbox.jl: An efficient Julia framework for simulating open quantum systems Mercurio, Alberto Huang, Yi-Te Cai, Li-Xun Chen, Yueh-Nan Savona, Vincenzo Nori, Franco Quantum Physics Computational Physics We present QuantumToolbox$.$jl, an open-source Julia package for simulating open quantum systems. Designed with a syntax familiar to users of QuTiP (Quantum Toolbox in Python), it harnesses Julia's high-performance ecosystem to deliver fast and scalable simulations. The package includes a suite of time-evolution solvers supporting distributed computing and GPU acceleration, enabling efficient simulation of large-scale quantum systems. We also show how QuantumToolbox$.$jl can integrate with automatic differentiation tools, making it well-suited for gradient-based optimization tasks such as quantum optimal control. Benchmark comparisons demonstrate substantial performance gains over existing frameworks. With its flexible design and computational efficiency, QuantumToolbox$.$jl serves as a powerful tool for both theoretical studies and practical applications in quantum science. |
| title | QuantumToolbox.jl: An efficient Julia framework for simulating open quantum systems |
| topic | Quantum Physics Computational Physics |
| url | https://arxiv.org/abs/2504.21440 |