Quantum mechanics violates a causal inequality derived from absoluteness of observed events plus axiological time symmetry and no retrocausality in timelike scenarios, even under a weakened operational version of absoluteness.
Decoherence, einselection, and the quantum origins of the classical.Rev
7 Pith papers cite this work. Polarity classification is still indexing.
7
Pith papers citing it
verdicts
UNVERDICTED 7representative citing papers
Machine learning classifies six Markovian and non-Markovian noise classes in two-qubit systems with over 94% accuracy using only final transfer efficiencies from a coherent population transfer protocol under three driving conditions.
A superposition of 2Δ+1 high-energy eigenstates of the infinite square well converges exactly to the classical uniform distribution as Δ → ∞, with position expectation reproducing the classical triangular path asymptotically.
Sudden hybridization quenches induce dephasing via particle-hole excitations, with mixed linear-logarithmic discretization suppressing finite-size revivals to reveal crossover from coherent oscillations to irreversible decoherence.
Generalizes Verlinde-van der Heijden protocol to type III factors in QFT, yielding thermodynamic interpretation and charge quantization via index-statistics theorem.
Three-spin interactions enable maximal concurrence near multicritical points and sustain entanglement for intra-phase quenches in a central spin model.
Phase-space kinetic modeling with distribution function f(r,p,t) is applied to solid-state plasmas in nano-objects, adding quantum, spin, relativistic and dissipative features for linear and nonlinear response examples.
citing papers explorer
-
Limits of Absoluteness of Observed Events in Timelike Scenarios: A No-Go Theorem
Quantum mechanics violates a causal inequality derived from absoluteness of observed events plus axiological time symmetry and no retrocausality in timelike scenarios, even under a weakened operational version of absoluteness.
-
Detection of noise correlations in two qubit systems by Machine Learning
Machine learning classifies six Markovian and non-Markovian noise classes in two-qubit systems with over 94% accuracy using only final transfer efficiencies from a coherent population transfer protocol under three driving conditions.
-
Exact classical emergence from high-energy quantum superpositions
A superposition of 2Δ+1 high-energy eigenstates of the infinite square well converges exactly to the classical uniform distribution as Δ → ∞, with position expectation reproducing the classical triangular path asymptotically.
-
Decoherence due to the sudden coupling of an impurity to a metal
Sudden hybridization quenches induce dephasing via particle-hole excitations, with mixed linear-logarithmic discretization suppressing finite-size revivals to reveal crossover from coherent oscillations to irreversible decoherence.
-
A QFT information protocol for charged black holes
Generalizes Verlinde-van der Heijden protocol to type III factors in QFT, yielding thermodynamic interpretation and charge quantization via index-statistics theorem.
-
Generation of concurrence in a generalized central spin model with a three-spin interacting environment
Three-spin interactions enable maximal concurrence near multicritical points and sustain entanglement for intra-phase quenches in a central spin model.
-
Phase-space modelling of solid-state plasmas
Phase-space kinetic modeling with distribution function f(r,p,t) is applied to solid-state plasmas in nano-objects, adding quantum, spin, relativistic and dissipative features for linear and nonlinear response examples.