1977
DOI: 10.1103/physrevd.16.520
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Time evolution of unstable quantum states and a resolution of Zeno's paradox

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Cited by 318 publications
(213 citation statements)
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“…After several exponential lifetimes 1/Γ of the pole term A P (t) have been exhausted [24], then the non-exponential t −3/2 term gives the larger contribution to Eq. (102); from this point forward the survival probability decreases in time as P (t) ∼ t −3 cos 2 (2t + π/4), as shown in figures 5(b) and (d).…”
Section: Inverse Power Law Evolution On Long Timescales Near the Ep2bmentioning
confidence: 99%
See 1 more Smart Citation
“…After several exponential lifetimes 1/Γ of the pole term A P (t) have been exhausted [24], then the non-exponential t −3/2 term gives the larger contribution to Eq. (102); from this point forward the survival probability decreases in time as P (t) ∼ t −3 cos 2 (2t + π/4), as shown in figures 5(b) and (d).…”
Section: Inverse Power Law Evolution On Long Timescales Near the Ep2bmentioning
confidence: 99%
“…[24] it is argued that in typical circumstances the long-time deviation does not manifest until after several lifetimes of the exponential decay, by which time the survival probability is so depleted that the process is rendered undetectable. Despite the challenge, in recent decades both the short time [25] and long time deviations [26] have been experimentally observed.…”
Section: Introductionmentioning
confidence: 99%
“…Most studies of the validity of the exponential decay law (see in particular [10,11,12,13]) proceed through the determination of the properties of the survival amplitude φ 0 |e −iĤt |φ 0 , where φ 0 is the initial (unstable) state and H the system's Hamiltonian. The modulus square of the amplitude is the probability that the system lies at the state |φ 0 at time t. The exponential decay then refers to the behavior of this probability.…”
Section: Comparison To Other Approachesmentioning
confidence: 99%
“…This simply means that the more frequently the wave function collapses, the harder it becomes for the algorithm to significantly depart from the initial state. Therefore, in this case the algorithm behaves as an example of the quantum Zeno effect, where the a high frequency of measurements hinders the departure of the system from its initial state [6,7].…”
Section: Repeated Measurements In the Algorithmmentioning
confidence: 99%