Brute-force positivization via single-qubit transformations is evaluated for J1-J2 model ground states, revealing boundary-condition and parity dependence of sign structures.
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Neural networks reconstruct classical mutual information and specific entropy from limited projective measurements in the antiferromagnetic quantum Ising model, enabling reconstruction of the phase diagram even for delocalized paramagnetic states.
Extends qubit-channel metrology to spectator noise, supplying algebraic tests that decide when correlated n-qubit inputs beat single-qubit inputs under different noise types.
A new EIT scheme with two-photon detuning enhances entanglement between coherent-state light fields more efficiently than using ground-state decoherence.
citing papers explorer
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Brute-force positivization of $J_1-J_2$ model ground states
Brute-force positivization via single-qubit transformations is evaluated for J1-J2 model ground states, revealing boundary-condition and parity dependence of sign structures.
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Estimating classical mutual information between quantum subsystems with neural networks
Neural networks reconstruct classical mutual information and specific entropy from limited projective measurements in the antiferromagnetic quantum Ising model, enabling reconstruction of the phase diagram even for delocalized paramagnetic states.
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Noisy initial-state qubit-channel metrology with additional undesirable noisy evolution
Extends qubit-channel metrology to spectator noise, supplying algebraic tests that decide when correlated n-qubit inputs beat single-qubit inputs under different noise types.
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Generation of Quantum Entanglement based on Electromagnetically Induced Transparency Media
A new EIT scheme with two-photon detuning enhances entanglement between coherent-state light fields more efficiently than using ground-state decoherence.