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arXiv · 2601.10435

The SpinPulse library for transpilation and noise-accurate simulation of spin qubit quantum computers

Benoît Vermersch·Oscar Gravier·Nathan Miscopein·Julia Guignon·Carlos Ramos Marimón·Jonathan Durandau·Matthieu Dartiailh·Tristan Meunier·Valentin Savin
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Abstract

We introduce SpinPulse, an open-source python package for simulating spin qubit-based quantum computers at the pulse-level. SpinPulse models the specific physics of spin qubits, particularly through the inclusion of classical non-Markovian noise. This enables realistic simulations of native gates and quantum circuits, in order to support hardware development. In SpinPulse, a quantum circuit is first transpiled into the native gate set of our model and then converted to a pulse sequence. This pulse sequence is subsequently integrated numerically in the presence of a simulated noisy experimental environment. We showcase workflows including transpilation, pulse-level compilation, hardware benchmarking, quantum error mitigation, and large-scale simulations via integration with the tensor-network library quimb. We expect SpinPulse to be a valuable open-source tool for the quantum computing community, fostering efforts to devise high-fidelity quantum circuits and improved strategies for quantum error mitigation and correction.

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Benoît Vermersch, Oscar Gravier, Nathan Miscopein, Julia Guignon, Carlos Ramos Marimón, Jonathan Durandau, Matthieu Dartiailh, Tristan Meunier, Valentin Savin. 2026-01-15. The SpinPulse library for transpilation and noise-accurate simulation of spin qubit quantum computers. https://arxiv.org/abs/2601.10435

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