Qubit Lattice Algorithm Simulations of Electromagnetic Pulse Scattering

Qubit lattice algorithm (QLA) simulations model the scattering of a two-dimensional electromagnetic pulse from a planar dielectric interface. The dataset was created by authors Min Soe, George Vahala, Linda Vahala, Efstratios Koukoutsis, Abhay K. Ram, and Kyriakos Hizanidis from the Plasma Science and Fusion Center Dataverse. The data was last updated on 2026-06-17.

Use Cases

• Validate quantum lattice algorithms for solving Maxwell's equations based on the described unitary collision and streaming operators.
• Study evanescent field dynamics and transient energy transfer during total internal reflection.
• Analyze the self-consistent Goos-Hanchen displacement effect for bounded pulses without explicit boundary conditions.
• Verify the recovery of standard Fresnel coefficients for normal incidence from averaged QLA fields.
• Benchmark numerical methods for energy conservation in electromagnetic simulations.

Strengths

• Simulations demonstrate energy conservation to seven significant figures, indicating high numerical accuracy.
• The algorithm recovers Maxwell equations in inhomogeneous dielectric media to second order in lattice discreteness.
• The work models both total internal reflection and normal incidence scenarios, covering key physical phenomena.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale training.

Provenance

Source

Plasma Science and Fusion Center Dataverse

Collection Method

Simulations performed using the Qubit Lattice Algorithm (QLA), an initial value scheme with unitary collision and streaming operators.

Freshness

Last updated 2026-06-17 22:25:15; freshness should be verified.