GRAPE.jl: Gradient Ascent Pulse Engineering in Julia

• URL: http://arxiv.org/abs/2511.01217v1
• Date: Mon, 03 Nov 2025 04:20:35 GMT
• Title: GRAPE.jl: Gradient Ascent Pulse Engineering in Julia
• Authors: Michael H. Goerz, Sebastián C. Carrasco, Alastair Marshall, Vladimir S. Malinovsky,
• Abstract summary: The GRAPE$.$jl package implements Gradient Ascent Pulse Engineering, a widely used method of quantum optimal control.<n>This is a prerequisite for next-generation quantum technology, such as quantum computing or quantum sensing.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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