QUANTUM COMPUTATIONAL SCHEMES GENERATED BY k-BOSON ALGEBRAS

2007 ◽  
Vol 05 (01n02) ◽  
pp. 229-234
Author(s):  
FRANCESCO A. RAFFA ◽  
MARIO RASETTI
Keyword(s):  
Cnot Gate ◽  
Logical Operators ◽  
Computational Schemes ◽  
Computational Basis

It is shown that a multiboson (k-boson) algebra can be conveniently utilized to generate a k-dimensional computational basis. The single qukit logical operators are given ∀k and two different constructions of the CNOT gate are presented.

scholarly journals Evolutionary Optimization of Case-Based Forecasting Algorithms in Chaotic Environments

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 301
Author(s):  
Alexander Musaev ◽  
Ekaterina Borovinskaya
Keyword(s):  
Chaotic Dynamics ◽  
Evolutionary Optimization ◽  
Modeling Method ◽  
Dynamic Adaptation ◽  
Evolutionary Modeling ◽  
Computational Schemes ◽  
Prediction Algorithms ◽  
Prediction Scheme ◽  
Case Based

The problem of dynamic adaptation of prediction algorithms in chaotic environments based on identification of the situations-analogs in the database of retrospective observations is considered. Under conditions of symmetrical and unsymmetrical chaotic dynamics, traditional computational schemes of precedent prediction turn out to be ineffective. In this regard, a dynamic adaptation of precedent analysis algorithms based on the method of evolutionary modeling is proposed. Implementation of the computational precedent prediction scheme for chaotic processes as well as the evolutionary modeling method are described.

scholarly journals Dressed-state scheme for a fast CNOT gate

2017 ◽  
Vol 16 (12) ◽  
Author(s):  
Jin-Lei Wu ◽  
Xin Ji ◽  
Shou Zhang
Keyword(s):  
Cnot Gate ◽  
Dressed State

scholarly journals Deterministic CNOT gate and entanglement swapping for photonic qubits using a quantum-dot spin in a double-sided optical microcavity

2013 ◽  
Vol 377 (40) ◽  
pp. 2870-2876 ◽  
Author(s):  
Hong-Fu Wang ◽  
Jing-Ji Wen ◽  
Ai-Dong Zhu ◽  
Shou Zhang ◽  
Kyu-Hwang Yeon
Keyword(s):  
Quantum Dot ◽  
Entanglement Swapping ◽  
Cnot Gate ◽  
Optical Microcavity

REALIZABILITY ASSESSMENT OF PROBABILISTIC QUANTUM CNOT GATE BASED ON EXPERIMENTAL IMPLEMENTATION

2013 ◽  
Vol 11 (03) ◽  
pp. 1350032 ◽  
Author(s):  
RIHAB CHATTA ◽  
AMOR GUEDDANA ◽  
MOEZ ATTIA
Keyword(s):  
Probabilistic Model ◽  
Cnot Gate ◽  
Experimental Realization ◽  
Physical Implementation ◽  
Experimental Implementation ◽  
General Proposition ◽  
Theoretical Results

Generalized behavior of a nondeterministic CNOT gate based on physical implementation is subject of this work. We define an abstract probabilistic model of the CNOT gate and describe a general proposition of realizability assessment based on experimental features. Theoretical results are directly confronted to experimental realization. Two CNOT models are brought out for this purpose.

Computational basis of decision-making impairment in multiple sclerosis

2021 ◽  
pp. 135245852110593
Author(s):  
Rodrigo S Fernández ◽  
Lucia Crivelli ◽  
María E Pedreira ◽  
Ricardo F Allegri ◽  
Jorge Correale
Keyword(s):  
Multiple Sclerosis ◽  
Decision Making ◽  
Computational Models ◽  
Iowa Gambling Task ◽  
Memory Impairments ◽  
Hierarchical Bayesian Analysis ◽  
Control Subjects ◽  
Neurocognitive Impairments ◽  
Neurocognitive Evaluation ◽  
Computational Basis

Background: Multiple sclerosis (MS) is commonly associated with decision-making, neurocognitive impairments, and mood and motivational symptoms. However, their relationship may be obscured by traditional scoring methods. Objectives: To study the computational basis underlying decision-making impairments in MS and their interaction with neurocognitive and neuropsychiatric measures. Methods: Twenty-nine MS patients and 26 matched control subjects completed a computer version of the Iowa Gambling Task (IGT). Participants underwent neurocognitive evaluation using an expanded version of the Brief Repeatable Battery. Hierarchical Bayesian Analysis was used to estimate three established computational models to compare parameters between groups. Results: Patients showed increased learning rate and reduced loss-aversion during decision-making relative to control subjects. These alterations were associated with: (1) reduced net gains in the IGT; (2) processing speed, executive functioning and memory impairments; and (3) higher levels of depression and current apathy. Conclusion: Decision-making deficits in MS patients could be described by the interplay between latent computational processes, neurocognitive impairments, and mood/motivational symptoms.

) To each classification index subsets transformation. Classification level knowledge, based on the afore mentioned domain is given, where q is better to classification index system. The knowledge was be an odd number so that we can have a middle expressed as production rule with a basic structure level. below: To quantify each indicator in of a certain ad to all categories classified by single in which, A is the production prerequisite, and B indicator is determined. The value of membership is a set of conclusions. Both A and B can generously function can be determined by using expert scoring be expressions composed by text, numbers, and method. So u we can have the single indicator fuzzy logical operators AND, OR, and NOT. matrix . Here in our research, the prerequisite A led by IF The fuzzy weight vector of every indicators of production rule was the classification index of in ,, a ) the corresponding membership function. Before performing the synthesis process, When single indicator was used in classification, generated. Such as the Single Factor in Fig.1, four of (2) its specific indicators were empty, single emotion,

2015 ◽  
pp. 223-226
Keyword(s):  
Basic Structure ◽  
Weight Vector ◽  
Production Rule ◽  
Synthesis Process ◽  
Single Factor ◽  
Logical Operators ◽  
Single Indicator ◽  
Knowledge Based ◽  
Fuzzy Weight ◽  
Classification Index
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