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Multi-Metric Quantum State Analysis and Decoherence Profiling in Quantum Dot Systems: A Theoretical Approach with Deep Learning-Based Validation

2025-09-16

Abstract excerpt

<title>Abstract</title> <p>Quantum coherence and fidelity are essential ingredients for scalable quantum technologies, particularly in solid-state platforms such as quantum dots (QDs). In this work, we introduce a physics-inspired framework for the multi-metric characterization of QDs confined to a spherical potential. We obtain the energy eigenvalues using Nikiforov-Uvarov Functional Analysis (NUFA) and calculat...

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Literature Corpus work
a7726170-03a2-5f90-b9d1-ded3f85da6d2
DOI
10.21203/rs.3.rs-7262536/v1
Open publication

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Multi-Metric Quantum State Analysis and Decoherence Profiling in Quantum Dot Systems: A Theoretical Approach with Deep Learning-Based ValidationDOI 10.21203/rs.3.rs-7262536/v1
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