• DocumentCode
    622532
  • Title

    A deterministic state-space model of intrinsic quantum uncertainties

  • Author

    Ciann-Dong Yang ; Kuan-Chang Su ; Chung-Hsuan Kuo

  • fYear
    2013
  • fDate
    12-14 June 2013
  • Firstpage
    1766
  • Lastpage
    1771
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (ICCA), 2013 10th IEEE International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    1948-3449
  • Print_ISBN
    978-1-4673-4707-5
  • Type

    conf

  • DOI
    10.1109/ICCA.2013.6564959
  • Filename
    6564959