QuantumToolbox.jl: An efficient Julia framework for simulating open quantum systems

Abstract

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.

26 pages, 8 figures

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Cited by in corpus (11)

• QuTiP 5: The Quantum Toolbox in Python
• Selective Preparation of Collective States in Coupled Quantum Emitters Using the SUPER Excitation Scheme
• Quantum Dynamical Signatures of Topological Flow Transitions in Limit Cycle Phases
• Orbital Surface Hopping with an Electron Thermostat Yields Accurate Dynamics and Detailed Balance
• From Few to Many Emitters Cavity QED: Energy Levels and Emission Spectra From Weak to Deep-Strong Coupling
• Low-rank optimal control of quantum devices
• Quantum Error Correction with Superpositions of Squeezed Fock States
• Characterization of Generalized Coherent States through Intensity-Field Correlations
• Autonomously Designed Pulses for Precise, Site-Selective Control of Atomic Qubits
• Spin Model for Quantum Annealing with Kerr Parametric Oscillators
• Chaos and quantum regimes in $n$-photon driven, dissipative bosonic chains