Neural-network quantum states are used to compute spectra of fully-heavy multiquarks in a non-relativistic quark model, claiming to overcome dimensionality issues with superior accuracy over prior approximations.
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hep-ph 2years
2026 2verdicts
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In a constituent quark model, only forced baryon–baryon-like uuddss configurations yield loosely bound near-threshold states; fully antisymmetrized sexaquarks remain compact and above threshold.
citing papers explorer
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Fully-heavy multiquarks in neural-network quantum states
Neural-network quantum states are used to compute spectra of fully-heavy multiquarks in a non-relativistic quark model, claiming to overcome dimensionality issues with superior accuracy over prior approximations.
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Sexaquarks and $H$ dibaryons in the $uuddss$ system: a comparison within a constituent quark model
In a constituent quark model, only forced baryon–baryon-like uuddss configurations yield loosely bound near-threshold states; fully antisymmetrized sexaquarks remain compact and above threshold.