Title :
A deterministic state-space model of intrinsic quantum uncertainties
Author :
Ciann-Dong Yang ; Kuan-Chang Su ; Chung-Hsuan Kuo
Abstract :
For an intrinsic quantum uncertainty described by |x - x̅(t)| ≤ Δx and |p - p̅(t)|≤ Δp, with ΔxΔp ≥ h/2, we establish a state-space model governed by the quantum Hamilton equations q̇ = f(q, p) and ṗ == g(q, p) such that their solutions (q(t), p(t)) satisfy the given uncertainty bound and meanwhile, the statistical distributions of the trajectory sets {q(t)} and {p(t)} exactly reproduce the probability density functions ψ* (x)ψ(x) and ψ* (p)ψ(p) prescribed a priori. Although actual quantum trajectories are random and non-differentiable, we point out that a complex trajectory q(t) solved from the state-space model provides an uncertainty boundary encompassing an ensemble of quantum trajectories in such a way that its real part qR (t) provides the mean trajectory, while its imaginary part q1 (t) gives the radius of deviation of the quantum trajectories from the mean trajectory.
Keywords :
computational complexity; probability; set theory; complex trajectory; deterministic state-space model; intrinsic quantum uncertainties; probability density functions; quantum Hamilton equations; quantum trajectories; state-space model; statistical distributions; trajectory sets; uncertainty boundary; Equations; Mathematical model; Quantum mechanics; State-space methods; Statistical distributions; Trajectory; Uncertainty;
Conference_Titel :
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-4707-5
DOI :
10.1109/ICCA.2013.6564959