Comment on "Supervised Learning with Quantum Hamiltonian Embeddings" (arXiv:2610.26833)

We discuss the relationship between quantum Hamiltonian embeddings (arXiv:2610.26833) and prior developments in Quantum Cognition Machine Learning (QCML), including QCML's earlier implementation on IBM quantum hardware. We consider the novelty claims and the computational role of encoding an entire dataset in a single ground state.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-11-03
DOI
https://doi.org/10.48550/arxiv.2611.05105
Primary Topic
Quantum Computing Algorithms and Architecture
Type
preprint
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preprint

Comment on "Supervised Learning with Quantum Hamiltonian Embeddings" (arXiv:2610.26833)

Kharen Musaelian, Luca Candelori, Alexander G. Abanov
arXiv (Cornell University)
Quantum Computing Algorithms and Architecture
preprint

Comment on "Supervised Learning with Quantum Hamiltonian Embeddings" (arXiv:2610.26833)

Kharen Musaelian, Luca Candelori, Alexander G. Abanov
preprint en

Abstract

We discuss the relationship between quantum Hamiltonian embeddings (arXiv:2610.26833) and prior developments in Quantum Cognition Machine Learning (QCML), including QCML's earlier implementation on IBM quantum hardware. We consider the novelty claims and the computational role of encoding an entire dataset in a single ground state.

arXiv (Cornell University)
Quantum Computing Algorithms and Architecture
DOIOpen Access PDFOpenAlex
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Comment on "Supervised Learning with Quantum Hamiltonian Embeddings" (arXiv:2610.26833) — Kharen Musaelian, Luca Candelori, et al. · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS