Supersymmetry and Superstring Theory with Engineering Applications Supersymmetry and Superstring Theory with Engineering Applications

Supersymmetry and Superstring Theory with Engineering Applications

    • 57,99 €
    • 57,99 €

Description de l’éditeur

This book introduces the vast subject of supersymmetry along with many specific examples of engineering applications, for example:
The design of quantum unitary gates using supersymmetric actions Bosonic and Fermionic noise in quantum systems using the Hudson-Parthasarathy quantum stochastic calculus Superstring theory applied to the quantum mechanics of neurons and supersymmetric quantum filtering theory which can, for example, be used to filter out the noise in a cavity resonator electromagnetic field produced by the presence electrons and positrons in a bath surrounding it Simplified versions of super-Yang-Mills theory with gauge and gaugino fields, both transforming under the adjoint representation of the gauge group and elementary super-gravity models have also been introduced
All through the book, emphasis is laid upon exploiting the supersymmetry existing in the nature of Boson-Fermion exchange in designing engineering systems like quantum computers and analyzing the performance of systems in the presence of supersymmetric quantum noise.

GENRE
Science et nature
SORTIE
2022
14 novembre
LANGUE
EN
Anglais
LONGUEUR
198
Pages
ÉDITIONS
CRC Press
TAILLE
2,8
Mo
Signal Analysis Signal Analysis
2026
Theoretical Variables, Quantum Theory, Relativistic Quantum Field Theory, and Quantum Gravity Theoretical Variables, Quantum Theory, Relativistic Quantum Field Theory, and Quantum Gravity
2026
Select Topics in Signal Analysis Select Topics in Signal Analysis
2022
Large Deviations Applied to Classical and Quantum Field Theory Large Deviations Applied to Classical and Quantum Field Theory
2022
Stochastic Processes in Classical and Quantum Physics and Engineering Stochastic Processes in Classical and Quantum Physics and Engineering
2022
Advanced Probability and Statistics Advanced Probability and Statistics
2022