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Author

A. Aguiar

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Preprint Sep 2026

On Embedding Design in Quantum Physics-Informed Neural Networks

A unified embedding framework is introduced that formulates embedding as a functional transformation shaping the feature representation available to the variational circuit, and two embeddings within it are proposed.

B. Tran, Nahid Binandeh Dehaghani, Susan A. Mengel et al. · 0 citations
Conference Open access Jul 2026

Tensor Network Methods for Advection–Diffusion–Reaction Systems Using Quantum-Inspired Representations

A quantum-inspired tensor-network framework for solving advection–diffusion–reaction (ADR) partial differential equations and results highlight the potential of tensor networks as efficient structure-preserving tools for PDE simulation in multiple spatial dimensions.

N. Dehaghani, Rafał Wiśniewski, A. Aguiar · 0 citations

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