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      • 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
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      • Kapitel 6 - Quantum-Code
      • Kapitel 7
      • Kapitel 8
      • Kapitel 9
      • Kapitel 10
      • Special:
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        • Saturday I
    • Axiome der Quanten-Mechanik
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      • 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
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      • Understanding the Haar Measure
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        • stochastic vs deterministic
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        • Bellman equation
        • Hamilton–Jacobi–Bellman (HJB) equation
    • Classification
    • Code Example:
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      • Spin
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    • Collection[unsorted]
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    • offtopic
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    • Additional TOOLs:
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    • Anaconda
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    • 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
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    • This GitBook
  • Quantum-Simulation
    • Quest
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    • Cloud
      • Kubernetes
      • Kubernetes Tutorial
      • K8s & JupyterHUB
      • JupyterLAB @ JupyterHUB
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  1. Course
  2. Lecture

Kapitel 1 - Welcome and cold start

Da wir uns gemeinsam einer großen Herausforderung stellen, lasst uns nach einem kurzen kennen lernen gleich starten -> Qantum Supremacy Story oder das "Who is Who" der Quanten-Welt.

PreviousDSE meets QuantumNextCoding-Part

Last updated 3 years ago

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Wir werden uns primär an den Präsentationsfolien orientieren.

Weiter Informationen findet ihr hier.

Folie OpenCampus:

Folie FH Kiel:

https://docs.google.com/presentation/d/e/2PACX-1vR6Kvr6KBYDFDAMer6LFjWUTk1qd8AuhEZCdwY8v7yN8BehUSDCDMSqACFXpnsonA/pub?start=false&loop=false&delayms=3000
https://docs.google.com/presentation/d/e/2PACX-1vTG8UP8M4-EOEUXDg3h-y4pz1O8vD6Nkt7sBnU_4N4QMHZRzdDBoXVyZpJvO2szSg/pub?start=false&loop=false&delayms=3000