In a U(1)-broken XX spin chain the local quantum Fisher information shows no first-order depletion in the transverse field and drops at second order via two-magnon scattering, while a single-qubit decoder cannot recover the full block QFI due to subspace compression.
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Derives that ground-state overlap dominance after quenches requires the initial and final Bloch vectors to have positive dot product in every momentum sector, disproving the phase-based conjecture with explicit Kitaev-chain counterexamples.
Entangling power in Heisenberg spin chains shows a monotonic decrease with growing symmetry in small models, sharp dips at SU(2) and free-fermion points in finite chains, and vanishes at SU(2) points but maximizes at the free-fermion point in the thermodynamic limit for the S-matrix.
A new fusion of adiabatic preconditioning and the Rodeo Algorithm, built hierarchically from solvable subsystems, enables robust exponential convergence for eigenstate preparation in the spin-1/2 XX model at high precision.
citing papers explorer
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Operator spreading and recoverability of local quantum Fisher information in a $U(1)$-broken spin chain
In a U(1)-broken XX spin chain the local quantum Fisher information shows no first-order depletion in the transverse field and drops at second order via two-magnon scattering, while a single-qubit decoder cannot recover the full block QFI due to subspace compression.
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Exact Criterion for Ground-State Overlap Dominance after Quantum Quenches
Derives that ground-state overlap dominance after quenches requires the initial and final Bloch vectors to have positive dot product in every momentum sector, disproving the phase-based conjecture with explicit Kitaev-chain counterexamples.
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Entangling Power: A Probe of Symmetry and Integrability in Quantum Many-Body Systems
Entangling power in Heisenberg spin chains shows a monotonic decrease with growing symmetry in small models, sharp dips at SU(2) and free-fermion points in finite chains, and vanishes at SU(2) points but maximizes at the free-fermion point in the thermodynamic limit for the S-matrix.
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Hierarchical Fusion Method for Scalable Quantum Eigenstate Preparation
A new fusion of adiabatic preconditioning and the Rodeo Algorithm, built hierarchically from solvable subsystems, enables robust exponential convergence for eigenstate preparation in the spin-1/2 XX model at high precision.