یادگیری ماشین کوانتومی

Headline of Quantum Machine Learning course

• Machine Learning
• Cost Functions
• Regression
• Classification
• Clustering
• Linear Regression
• Support Vector Machine
• K-Means
• PCA
• Introduction to Quantum Machine Learning
• HHL Algorithm
• Initializing the Registers
• Performing Quantum Phase Estimation
• Inverting the Eigenvalues
• Uncomputing the Work Registers
• Measuring the Ancilla Qubit
• HHL Algorithm Implementation Using Cirq
• Quantum Linear Regression
• Quantum Swap Test Subroutine
• Initial State
• Hadamard Gate on the Ancilla Qubit
• Controlled Swap Operation
• Hadamard Gate on the Control Qubit
• Swap Test Implementation
• Quantum Euclidean Distance Calculation
• Creating the Initial States Without QRAM
• Quantum Euclidean Distance Compute Routine Implementation
• Quantum K-Means Clustering
• Quantum K-Means Clustering Using Cosine Distance
• Quantum Principal Component Analysis
• Preprocessing and Transforming the Classical Data to Quantum States
• The Mixed Density Matrix or the Covariance Matrix Creation
• Density Matrix as a Hamiltonian
• Quantum Phase Estimation for Spectral Decomposition of the Unitary Operator
• Extracting the Principal Components
• Quantum Support Vector Machines
• Quantum Least Square SVM