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        • Rechnen mit Zuständen
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          • selbstadjunktierter Operator mit Spur N
          • unitärer Operator
      • Kapitel 5
      • DSE meets Quantum
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      • Kapitel 1
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      • Kapitel 7
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    • 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
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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
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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
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      • Grover's algorithm
      • Deutsch-Josza
      • Shor-Algorithm for Prime Factorization
    • Classification
    • Regression
  • Quantum @ LinuxFoundation
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  • Quantum-Simulation
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  1. Algorithmen

Supervised Learning

Quantum Computing Methods for Supervised Learning

https://arxiv.org/pdf/2006.12025.pdf

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Last updated 3 years ago

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