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

TL;DR

SpinPulse is an open-source Python library that enables realistic, noise-accurate simulation of spin qubit quantum computers at the pulse level, supporting hardware development and error mitigation strategies.

Contribution

It introduces a comprehensive pulse-level simulation framework for spin qubits, including non-Markovian noise modeling, native gate transpilation, and integration with tensor-network tools.

Findings

Supports realistic simulation of spin qubit hardware

Enables benchmarking and error mitigation studies

Facilitates large-scale quantum circuit simulations

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.