Symmetric superpositions of antipodal triplet states produce exact zero-energy eigenstates in non-integrable spin Hamiltonians that are scars with tunable entanglement from volume to area law.
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Machine learning reconstruction accuracy is substantially higher for spectral-edge eigenstates than for mid-spectrum eigenstates, providing a new quantitative measure of information content in many-body quantum states.
Higher moments of the projected process ensemble reveal entanglement structures that distinguish chaotic from integrable dynamics more sharply than quantum dynamical or spatiotemporal entropies.
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Symmetric tensor scars with tunable entanglement from volume to area law
Symmetric superpositions of antipodal triplet states produce exact zero-energy eigenstates in non-integrable spin Hamiltonians that are scars with tunable entanglement from volume to area law.