Quantum-Computing
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  • Which tools do you use ?
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        • Getting Started
          • Basic tutorial: qubit rotation
    • Clean Code
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      • Quantum Complexity
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      • Visuelle Physik
      • Einstieg Quanten-Mechanik
      • Math behind
    • Stochastic & statistic
      • PCA
    • Mathe
      • Geometry
        • Page 1
        • Lie groups & continuous symmetries
        • Euclidean and non-Euclidean geometry
      • numeric linear algebra for Coders
      • Graphen-Theorie
      • Einsteins Summenkonventiom
      • EigenValues
      • Hilbert-Raum
        • Operatoren im Hilbertraum
      • Vector Calculus
      • Basics:
        • Calculus
          • Matrix Calculus
          • Derivative
          • Integral
        • Algebra ( precalculus )
      • Einfach:
        • Vektoren
      • Mittel:
      • Schwer:
      • Symbolbeschreibung
      • Tensor Produkt
      • Inners Produkt vs Kreuzprodukt
      • Vektorprodukt bzw. Kreuzprodukt
      • "inner product" - Skalarprodukt
      • Lineare Algebra
      • Notationen
      • Hilbert-Raum
      • Komplexe Zahlen
      • Die Matrix
      • Tensoren
      • Funktionen n-Ordnung
      • Integralrechnung
      • Rechnen im Kreis
      • Differentia(operator
    • DataScience
      • Practical Deep Learning for Coders
      • Computational Linear Algebra for Coders
      • Maschinen-Theorie
      • Algorithmen & Datenstrukturen
      • ClassicalMachineLearning
        • Supervised Learning
          • Regression
          • Lineare Modelle
          • Lineare und Quadratische Discriminanten Analyse
          • Support Vector Machines
          • Stochastik Gradient Descent
          • Nearest Nighbors
          • DecissionTrees
            • RegressionTree
            • Classification Tree
        • Unsupervised Learning
          • Gaussian Mixture Models
          • Neural Network Models ( unsupervised )
          • Clustering
      • Python
      • Minimal-Cost
      • Tree-Algorithms
      • Complexity
      • Multi-Out Problems
      • Classification
      • Regression
    • offtopic
      • Neuronale Netze
      • LibreOffice Math
        • Symbole
    • Griechisch für Anfänger
  • Course
    • Quantum Capstone
    • Lecture
      • Kapitel 2
      • Kapitel 3
      • Kapitel 4
        • Rechnen mit Zuständen
          • Hilbert-Raum
          • selbstadjunktierter Operator mit Spur N
          • unitärer Operator
      • Kapitel 5
      • DSE meets Quantum
      • Kapitel 1 - Welcome and cold start
    • Coding-Part
      • Kapitel 1
        • Installation der Arbeitsumgebung
          • Install Anaconda
          • Spyder Installation und Start
          • Umgang mit Conda im Terminal
        • Clean Template
      • Kapitel 2
        • First steps /w Python
        • Hello Qiskit
        • Hello Pennylane
      • Kapitel 3
      • Quantum-Gates
      • First own steps
      • Kapitel 6 - Quantum-Code
      • Kapitel 7
      • Kapitel 8
      • Kapitel 9
      • Kapitel 10
      • Special:
        • Saturday II
        • Saturday I
    • Axiome der Quanten-Mechanik
    • Course Kick-Off
  • Literature list
    • Deep Learning
  • Quantum Machine Learning
    • Quantum Projects
      • The Quantum Graph Recurrent Neural Network
      • Quantum circuit structure learning
      • Training and evaluating quantum kernels
      • Kernel-based training of quantum models with scikit-learne 2
      • Qubit_Rotation
      • Variational Quantum Linear Solver
      • Variational classifier
      • Understanding the Haar Measure
        • Unitary Designs
      • Lineare Regression @QML
      • Quantum-Simulation @Kubernetes with QuEST
      • Documentation
    • Reinforcement Learning
      • Konfidenzinterval [ ger. ]
      • Multi Arm Bandits
      • Markov Decision Processes
        • stochastic vs deterministic
        • path dependency
        • Value Function
        • markov probability
        • Bellman equation
        • Hamilton–Jacobi–Bellman (HJB) equation
    • Classification
    • Code Example:
    • Optimizer
    • Regression
  • Research Papers & More
    • Variational quantum Algorithms
    • Quantum Natural Gradient Descent
    • Boolsche Logik
    • Quantum-Logik
    • Bra-Ket
    • Quantum-Mathe
    • Quanten-Mechanik
      • Entanglement
      • Mathematische Grundlagen:
      • Quanten-Theorie
      • Born'sche Wahrscheinlichkeitsinterpretation
      • Quantenmechanische Gleichungen
      • Wellen-Gleichung
      • Wellen-Funktion
      • "The fundamental idea of wave mechanics " Schrödinger
      • Spin
    • Visualisation
    • Quantum-Informatik
      • Gradient Descent
      • UCSM Unit cycle state machine
    • Quanten-Physik
    • Collection[unsorted]
    • Quantum-Hardware
      • Hardware Vergleich
      • Quantum Trapping
    • Spin 1/2 (Fermion)
    • offtopic
    • Physik
      • Ising Model
      • Feynman Lectures
    • Komplexitätstheorie
      • Graph isomorphism problem
      • Quantum Komplexität
    • Quantum-Simulation
      • Hamiltonian simulation
      • QiBo -Simulation
    • Machine Learing
    • Reading Guide:
  • Coders Help
    • Pyhton
    • Anaconda
    • komplexe Zahlen
    • Numpy
    • Jupyter-Notebook
    • Logik
    • Terminal[Linux]
      • Mint
    • Collection-Folder
    • Additional TOOLs:
    • Code Book Quantum
    • Pennylane
  • Documentation-Guide
    • Jupyter Notebook
    • Qiskit
    • Python
      • NetworkX
      • MatPlotLib
    • Anaconda
    • Pennylane
    • Pennylane
    • Quantum-Gates
      • Controlled Z (CZ) Gate
      • Swap Gate
      • Phase ( S,P) Gate
      • Pauli Y Gate
      • Pauli X Gate
      • Hadamard ( H ) Gate
      • Toffoli double controlled-Not CCX Gate
      • Pauli Z Gate
      • CNOT ( CX )Gate
      • density matrix
  • Quantum-Hommage
    • ecosystem Quantum
    • Richard Bellman
    • Wolfgang Pauli
    • Max Planck
    • Andrew Helwer
    • William Rowan Hamilton
    • Bell's Theorie: Das Quanten-Venn-Diagramm-Paradoxon
    • Dirac–von Neumann axioms
    • Schrödingers Gleichung
    • Von Neumann
    • von Neumann Landauer Limit
    • Deutsch-Joza
      • Simon's problem
  • Algorithmen
    • The Basics
    • Graph Algorithms & Data Structures
    • Greedy Algorithms & Dynamic Programming
    • Worst-Case Analysis
    • Basic-Python Algorithms
    • Unsupervised Learning
    • Supervised Learning
    • Reinforcement Learning
    • Quantum
      • Shor-Algorithm
      • Grover's algorithm
      • Deutsch-Josza
      • Shor-Algorithm for Prime Factorization
    • Classification
    • Regression
  • Quantum @ LinuxFoundation
    • QIR
    • aide-qc
    • QCoDeS
  • Github
    • Team-Members
    • This GitBook
  • Quantum-Simulation
    • Quest
      • Publications
    • Cloud
      • Kubernetes
      • Kubernetes Tutorial
      • K8s & JupyterHUB
      • JupyterLAB @ JupyterHUB
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  1. Course
  2. Coding-Part

Kapitel 1

@Glimpse ( coming soon )

Folie: https://docs.google.com/presentation/d/e/2PACX-1vRAWgDXXum9xvvJ8wyGQtKl9aTYvNSsYhUiSg8k5GPqTkyW_fpnNYECOHJ2cv9GYFQnfadD3qbX7zkB/pub?start=false&loop=false&delayms=3000

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Last updated 3 years ago

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