GRAPE.jl: Gradient Ascent Pulse Engineering in Julia
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1866909883996045312 |
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| author | Goerz, Michael H. Carrasco, Sebastián C. Marshall, Alastair Malinovsky, Vladimir S. |
| author_facet | Goerz, Michael H. Carrasco, Sebastián C. Marshall, Alastair Malinovsky, Vladimir S. |
| contents | The GRAPE$.$jl package (https://github.com/JuliaQuantumControl/GRAPE.jl) implements Gradient Ascent Pulse Engineering, a widely used method of quantum optimal control. Its purpose is to find controls that steer a quantum system in a particular way. This is a prerequisite for next-generation quantum technology, such as quantum computing or quantum sensing. GRAPE$.$jl exploits the unique strengths of the Julia programming language to achieve both flexibility and numerical performance. It builds on the QuantumControl$.$jl framework. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_01217 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | GRAPE.jl: Gradient Ascent Pulse Engineering in Julia Goerz, Michael H. Carrasco, Sebastián C. Marshall, Alastair Malinovsky, Vladimir S. Quantum Physics The GRAPE$.$jl package (https://github.com/JuliaQuantumControl/GRAPE.jl) implements Gradient Ascent Pulse Engineering, a widely used method of quantum optimal control. Its purpose is to find controls that steer a quantum system in a particular way. This is a prerequisite for next-generation quantum technology, such as quantum computing or quantum sensing. GRAPE$.$jl exploits the unique strengths of the Julia programming language to achieve both flexibility and numerical performance. It builds on the QuantumControl$.$jl framework. |
| title | GRAPE.jl: Gradient Ascent Pulse Engineering in Julia |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2511.01217 |