scholarly journals Deleting a marked state in quantum database in a duality computing mode

2013 ◽  
Vol 58 (24) ◽  
pp. 2927-2931 ◽  
Author(s):  
Yang Liu
Keyword(s):  
Marked State

scholarly journals Psychological aspects in children affected by Duchenne de Boulogne muscular dystrophy

2012 ◽  
Vol 4 (1) ◽  
pp. 21-24
Author(s):  
Teresa Di Filippo ◽  
Lucia Parisi ◽  
Michele Roccella
Keyword(s):  
Duchenne Muscular Dystrophy ◽  
Personality Disorder ◽  
Muscular Dystrophy ◽  
Spatial Memory ◽  
Personality Disorders ◽  
Psychological Aspects ◽  
Psychological Process ◽  
Visual Spatial ◽  
Marked State ◽  
Visual Spatial Memory

Impairment of intelligence in Duchenne muscular dystrophy (DMD) patients was described by Duchenne de Boulogne himself in 1868. Further studies report intelligence disorders with mayor impairment of memory. The aim of the present study was to assess the presence of affective and personality disorders in a group of children affected by DMD. Twenty six male DMD patients, mean age eleven and four months years old, were assessed for their affective and personality disorder. Only eight subjects had a total IQ below average with major difficulties in verbal and visual-spatial memory, comprehension, arithmetic and vocabulary. All the subjects presented some disorders: tendency to marginalization and isolation, self-depreciation, sense of insecurity, hypochondriac thoughts and marked state of anxiety. These disorders are often a dynamic prolongation of a psychological process which starts when the diagnosis is made and continues, in a slow and latent fashion, throughout the evolution of the disease.

scholarly journals STUDIES ON THE pH AND Eh OF NORMAL AND INFLUENZA-INFECTED EGGS

1945 ◽  
Vol 28 (6) ◽  
pp. 585-604
Author(s):  
Keyword(s):  
Influenza Virus ◽  
Embryonic Development ◽  
Significant Relationship ◽  
Allantoic Fluid ◽  
Virus Multiplication ◽  
Negative Potential ◽  
Positive Potential ◽  
Ph Values ◽  
Rapid Drop ◽  
Marked State

1. pH values of allantoic fluids from non-infected eggs showed a rapid drop from the 12th to the 17th day of embryonic development. A definite age-pH relationship was shown to exist. 2. The allantoic fluid of eggs infected with influenza virus, contrasting with the non-infected eggs, revealed pH values which remained relatively stable about the neutral point at any age between 11 and 17 days. No relationship between pH and age could be established, in the infected series. 3. The Eh value of the fluid from non-infected eggs also exhibited a significant relationship to embryonic age. The majority of the determinations revealed a positive potential. 4. Similar determination on influenza-infected eggs gave results of a predominantly negative potential, indicating a marked state of reduction accompanying virus multiplication. As with the pH determinations, the Eh values of infected eggs were not a function of their age.

scholarly journals Robust Quantum Search with Uncertain Number of Target States

Entropy ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. 1649
Author(s):  
Yuanye Zhu ◽  
Zeguo Wang ◽  
Bao Yan ◽  
Shijie Wei
Keyword(s):  
Success Rate ◽  
Search Algorithm ◽  
Quantum Algorithms ◽  
Query Complexity ◽  
Quantum Search ◽  
Success Rates ◽  
Quantum Search Algorithm ◽  
Speed Up ◽  
Target States ◽  
Marked State

The quantum search algorithm is one of the milestones of quantum algorithms. Compared with classical algorithms, it shows quadratic speed-up when searching marked states in an unsorted database. However, the success rates of quantum search algorithms are sensitive to the number of marked states. In this paper, we study the relation between the success rate and the number of iterations in a quantum search algorithm of given λ=M/N, where M is the number of marked state and N is the number of items in the dataset. We develop a robust quantum search algorithm based on Grover–Long algorithm with some uncertainty in the number of marked states. The proposed algorithm has the same query complexity ON as the Grover’s algorithm, and shows high tolerance of the uncertainty in the ratio M/N. In particular, for a database with an uncertainty in the ratio M±MN, our algorithm will find the target states with a success rate no less than 96%.

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