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Resource-efficient energy-based operator selection in fermionic ADAPT-VQE via exact Hamiltonian transformation

arXiv:2606.04786v1 Announce Type: cross Abstract: The energy-based approach to operator selection in ADAPT-VQE relies on reconstructing the one-parameter energy landscape for each operator in the pool. In fermionic implementations, the cost of reconstructing this energy landscape often becomes a bottleneck. We address this issue through an exact Hamiltonian transformation that reformulates the one-parameter energy landscape according to a generator-dependent fragmentation of the transformed...

arXiv Physics 6d ago

Hamiltonian-Inspired Attention Mechanism for Scalable RF Transmitter Fingerprinting

Announce Type: cross Abstract: Radio-frequency (RF) fingerprinting identifies wire-less transmitters using hardware-induced imperfections present in baseband I/Q signals. However, deep learning models often degrade under receiver and channel distribution shifts, particularly as transmitter populations grow. This work proposes the Hamiltonian Transformer, a physics-informed attention architecture that enforces norm preserving value dynamics within each attention head using a learned...

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A Voxel-Based Quantum Computing Method (VBQC) for Solid Mechanics Problem

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Attention-based optimizer for symmetry finding

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Structure-Preserving Quantum Method of Lines for Evolutionary PDEs with Mixed Boundary Conditions

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