Quantum Machine Learning

Data Encoding – Quantum Machine Learning

by ComputingNotes
For classical data to be used by quantum circuit, it needs to be encoded which is called data encoding. In qiskit, we can use tools like z_feature_map or zz_feature_map etc. which includes rotation layers and entangling layers. Normalization is required in quantum machine learning similar to in classical machine learning. Normalization Before classical data can ... Read More

Quantum Perceptron

by ComputingNotes
To understand Variational Quantum Circuits, we can have analogy with Classical Neural Networks. NN vs. QNN Classical Perceptrons (Left) vs. Quantum Gates (Right) Mapping to Hilbert Space R U Classical NN Quantum QNN Classical: Data flows through fixed layers of neurons. Quantum: Data is encoded into qubits and transformed via Rotational Gates. Non-Linearity: In QNNs, ... Read More

IBM Course: Introduction to Quantum Machine Learning

by ComputingNotes
Resources: Introduction to Quantum Machine Learning A Comprehensive Course Overview The Classical-Quantum Intersection Quantum Machine Learning (QML) is a symbiotic cycle where quantum and classical systems push each other’s limits. The current focus remains on applying quantum algorithms to classical datasets to complement existing workflows where classical systems already excel. Feature Mapping & Kernels A ... Read More

Qiskit Machine Learning

by ComputingNotes
Resources: What is Qiskit Machine Learning? Qiskit Machine Learning is an open-source library built on top of the core Qiskit framework that integrates quantum computing with classical machine learning. It acts as a bridge, allowing researchers and developers to use quantum algorithms for tasks like classification, regression, and clustering. Instead of manually building every gate, ... Read More

Deutsch’s Algorithm

by ComputingNotes
https://quantum.cloud.ibm.com/learning/en/courses/fundamentals-of-quantum-algorithms/quantum-query-algorithms/deutsch-algorithmhttps://en.wikipedia.org/wiki/Deutsch%E2%80%93Jozsa_algorithm Implementaion link: https://github.com/computingnotes/QuantumAlgorithmsUsingQiskit/blob/main/deutsch_algorithm_using_qiskit.ipynbGitHub: https://github.com/computingnotes deutsch_algorithm_using_qiskit (1) Source: https://quantum.cloud.ibm.com/learning/en/courses/fundamentals-of-quantum-algorithms/quantum-query-algorithms/deutsch-algorithm Deutsch’s Algorithm Implementation in Qiskit¶ In [45]: # --- 1. Installation and Setup --- # Install necessary libraries silently !pip install qiskit qiskit_aer pylatexenc -q In [46]: from qiskit import QuantumCircuit from qiskit_aer import AerSimulator In [47]: # Imports from qiskit import QuantumCircuit from qiskit_aer import AerSimulator from typing ... Read More

Quantum Noise

by ComputingNotes
https://github.com/qiskit-community/qgss-2025/blob/main/lab-2/Lab2.ipynb Accessing device properties Qiskit https://quantum.cloud.ibm.com/docs/en/guides/get-qpu-information

PennyLane-Qiskit

by ComputingNotes
https://docs.pennylane.ai/projects/qiskit/en/latest https://github.com/PennyLaneAI/pennylane-qiskit Installation: Best resources:
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