Sentence examples for estimation of the quantum from inspiring English sources

On the other hand, estimation of the quantum yield of the linear process is made difficult because of important uncertainties on the photocurrent due to the very weak signal to noise ratio associated to the determination of the incident power at low flux, as well as predominance of TPC at higher fluxes.

In Table 1 the results for the estimation of the quantum yields ΦΔ of singlet oxygen for all derivatives are summarized relative to the literature value of the quantum yield for methylene blue of 0.52 [ 43].

The estimation of the internal quantum efficiency is not done for the Sample C and D due to complex nature of emission.

Belavkin's theory of quantum filtering concerns the estimation of the variables of quantum systems conditioned on classical (commutative) measurement records.

Estimations of the internal quantum yield ( Equation 6) of the THz emission for the 6H-SiC structures studied here with a NSL thickness of 2μ m result in a value of η = L d × τ rad − 1 / τ nonrad − 1 ≈ 2, 667 × ( 1. 8 × 1 0 5 s − 1 / 1. 3 × 1 0 10 s − 1 ) ≈ 0. 0..

The validity of this model was proven by the estimation of fluorescence quantum yield of ThT incorporated into the insulin amyloid fibrils.

Experiment design for quantum channel parameter estimation includes the design of the quantum input to the channel and the observables to be applied on the resulting quantum output system, called the experiment configuration.

Fig. 6 Estimation of quantum yield of ROS generation from the nanocapsules by the iodide method.

In our study, we formulate and solve a problem of optimal estimation of a linear quantum system variables given the non-commutative outputs within the framework of non-commutative probability theory.

The purpose of this paper is to contribute to the knowledge of coherent quantum estimation and control by developing further a non-commutative formulation of the quantum filter given by Belavkin in 1980s [3].

The quantum Cramer-Rao theorem states that the error in the estimation of the parameter ϵ is bounded by (langle(Deltahat{epsilon})^{2}ranglegeqfrac {1}{MH_{epsilon}}), where (H_{epsilon}) is the Quantum Fisher Information (QFI) and M the number of probes.