Stochastic dynamics and quantum measurement

A simple quantum network consisting of up to four SU(2)-nodes (spin-1/2 subsystems) is studied to model explicitly the dynamics of quantum measurement processes. The resulting stochastic dynamics is simulated by the Monte Carlo wavefunction approach (MCWA) extended to composite few-particle systems. It is shown that the main features of axiomatic measurement theory can be recovered within this model, e.g. the dynamical emergence of projections. the superposition of undecidable alternatives. Exploiting the superposition of undecidable paths it is shown that EPR and GHZ states can be prepared within these quantum networks as attractor states.