Quantum Algorithms

Explore famous quantum algorithms that offer potential speedups over classical counterparts. Study the theory and application of algorithms like Shor's, Grover's, and the Quantum Fourier Transform.

53 courses

Securing Systems Against Quantum Computing Risks

Learn to assess quantum security threats, understand post-quantum cryptography, and implement practical migration strategies to protect sensitive organizational data.
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CAT Quantitative Aptitude: Fast-Solving Techniques and Solutions

Master CAT quantitative aptitude questions using efficient shortcuts and step-by-step written explanations designed for aspiring management students.

Grover's Quantum Search Algorithm: Foundations and Implementation

Understand how quantum computing accelerates search tasks through superposition, amplitude amplification, and practical circuit design.

Boolean Algebra and Digital Logic for Physics Exams

Master binary logic, gate minimization, and circuit simplification techniques to solve competitive physics and electronics exam problems with confidence.

Quantum Information Science: Error Correction and Fault Tolerance

Master the foundational concepts of quantum error correction, fault-tolerant systems, and quantum complexity theory through clear, step-by-step written lessons.

Coding Grover's Algorithm for Quantum Search

Learn to implement unstructured quantum search simulations using Qiskit and Cirq, starting from foundational quantum gates to complete algorithmic execution.

Quantum Naive Bayes: Calculating Posterior Probability

Learn to calculate posterior probabilities using controlled quantum rotations to build foundational quantum machine learning classifiers.

Estimating Missing Data with Quantum Bayesian Inference

Learn to apply quantum Bayesian networks and log-likelihood methods to estimate single missing data points and calculate conditional probabilities.

Quantum Machine Learning: Weighted Preprocessing for Hybrid Classifiers

Improve variational quantum classifiers by mastering state-angle encoding and probability-weighting techniques for hybrid machine learning workflows.

Quantum Resource Estimation for Quantum Algorithms

Learn to calculate the physical qubits, runtime, and error correction overhead required to run quantum algorithms on fault-tolerant hardware.

Grover's Algorithm and Amplitude Amplification for Quantum Search

Understand the mechanics of quantum search algorithms by mastering oracles, diffusion operators, and phase manipulation through written explanations.

Quantum Search and Grover's Algorithm for Data Retrieval

Learn how to build quantum circuits and apply Grover's search algorithm to query unstructured data and solve predictive search problems using Python.

Quantum Search with Grover's Algorithm and Amplitude Amplification

Understand the core principles of quantum unstructured search, design oracles, and analyze amplitude amplification through clear written explanations and circuit examples.

Shor's Algorithm: Quantum Period Finding and Factoring

Demystify the quantum mechanics behind prime factorization, explore period finding, and understand the fundamentals of quantum-resistant cryptography.

Quantum Mechanics: WKB Approximation and Variational Method

Master key quantum approximation techniques and solve complex energy expectation values through step-by-step written derivations and exam-style practice problems.

Quantum Computing Fundamentals: First Steps for Beginners

Start your journey into quantum computing by mastering foundational concepts like qubits, superposition, and quantum gates through structured written lessons.

Building Hybrid Quantum-Classical Algorithms for Data Classification

Learn to design and implement parameterized quantum circuits to solve real-world classification problems using hybrid quantum-classical workflows.

Quantum Machine Learning Foundations: Navigating the NISQ Era

Understand how quantum computing enhances classical machine learning models and learn to navigate the practical challenges of noisy intermediate-scale quantum devices.

Demystifying Phase Kickback in Quantum Computing

Master the foundational quantum mechanics of phase kickback to design and analyze quantum algorithms using CNOT gates and Bloch sphere representations.

Quantum Mechanics Approximation: Second-Order Perturbation Theory

Learn to solve complex quantum systems using second-order perturbation theory through clear written explanations and step-by-step mathematical derivations.
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