1d-qt-ideal-solver: 1D Idealized Quantum Tunneling Solver with Absorbing Boundaries
Sandy H. S. Herho, Siti N. Kaban, Rusmawan Suwarman, Iwan P. Anwar, Nurjanna J. Trilaksono

TL;DR
The paper introduces 1d-qt-ideal-solver, an open-source Python library for simulating idealized 1D quantum tunneling with high fidelity, validated through canonical test cases and suitable for educational and qualitative research purposes.
Contribution
It presents a novel, efficient, and accessible Python implementation of a quantum tunneling solver using spectral methods and absorbing boundaries, validated against canonical models.
Findings
Rectangular barriers show higher transmission than Gaussian barriers in over-barrier regime.
Simulations maintain machine-precision energy conservation over femtosecond timescales.
Phase space analysis indicates complete decoherence in averaged conditions.
Abstract
We present 1d-qt-ideal-solver, an open-source Python library for simulating one-dimensional quantum tunneling dynamics under idealized coherent conditions. The solver implements the split-operator method with second-order Trotter-Suzuki factorization, utilizing FFT-based spectral differentiation for the kinetic operator and complex absorbing potentials to eliminate boundary reflections. Numba just-in-time compilation achieves performance comparable to compiled languages while maintaining code accessibility. We validate the implementation through two canonical test cases: rectangular barriers modeling field emission through oxide layers and Gaussian barriers approximating scanning tunneling microscopy interactions. Both simulations achieve exceptional numerical fidelity with machine-precision energy conservation over femtosecond-scale propagation. Comparative analysis employing…
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Taxonomy
TopicsAdvanced Chemical Physics Studies · Quantum, superfluid, helium dynamics · Spectroscopy and Quantum Chemical Studies
