Learn the basics of machine learning and quantum computing.

Learn how to create parameterized quantum circuits and variational hybrid quantum-classical algorithms that solve classification tasks.

Explore quantum superposition, entanglement, and interference, and how you can use these concepts to solve problems that have been intractable for classical computers.

Extend your knowledge and learn how to solve new problems.

Of course, you will do some math. Of course, you will cover a little physics.

Learn the basics of machine learning and quantum computing.

Learn how to create parameterized quantum circuits and variational hybrid quantum-classical algorithms that solve classification tasks.

Explore quantum superposition, entanglement, and interference, and how you can use these concepts to solve problems that have been intractable for classical computers.

Extend your knowledge and learn how to solve new problems.

Of course, you will do some math. Of course, you will cover a little physics.

Hands-On Quantum Machine Learning With Python is your comprehensive guide to get started with Quantum Machine Learning - the use of quantum computing for the computation of machine learning algorithms. In this course, you'll learn the basics of machine learning and quantum computing. Y...

Hands-on coding environments

You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.

Faster than videos

Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.

No set-up required

Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.

Progress you can show

Built in assessments let you test your skills. Completion certificates let you show them off.

Hands-on coding environments

You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.

Faster than videos

Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.

No set-up required

Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.

Progress you can show

Built in assessments let you test your skills. Completion certificates let you show them off.

IntroductionQuantum Machine Learning—Beyond The HypeQuantum ComputingThe Case for Quantum Machine LearningQuiz: Introduction to Quantum Machine Learning

Getting and Looking at the DatasetData Preprocessing: Missing ValuesData Preprocessing: IdentifiersData Preprocessing: Handling Text and Categorical AttributesData Preprocessing: 4- Feature ScalingData Preprocessing: Training and TestingBaselineClassifier EvaluationClassifier MeasuresUnmask the Hypocrite ClassifierVisualization of Hypocrite ClassifiersPerformance Evaluation of Hypocrite ClassifierQuiz: Binary Classification

The QubitExploring the Quantum StatesA Visual Exploration of the Qubit StateBypassing the NormalizationExploring the Observer EffectParameterized Quantum CircuitVariational Hybrid Quantum Classical AlgorithmImplementing of Variational Hybrid Quantum Classical AlgorithmThe Weighting Pre‐processingQuiz: Qubit and Quantum States

You Don't Need to Be a MathematicianA Reimplementation of ORThe Measured QubitQuantumic MathWhen to Differentiate State |0> From State |1>Gamble with Quantum ComputingProbabilities and the Qubit StatesRotating the Qubit StateQuiz: Working with Qubits

Hands-On Introduction to Quantum EntanglementImplementing the CNOT gateThe Equation Einstein Could Not BelieveThe Two Qubit States and Their TransformationCalculating the Transformation MatrixEntanglementQuantum Programming for Non-mathematiciansRepresenting a Marginal ProbabilityCalculating Joint ProbabilityThe Controlled RY GateCalculating Conditional ProbabilityApplying the PriorCalculating the PosteriorQuiz: Working with Multiple Qubits

More on Naïve BayesPre-ProcessingPQCCalculating the Posterior ProbabilityPost-processingQuiz: Quantum Naïve Bayes

The No-Cloning TheoremHow to Solve a Problem with Quantum ComputingDepicting the Transformation O-gateDeutsch's AlgorithmThe Quantum Oracle, DemystifiedMagician-created CodeQuiz: Working with Multiple Qubits

Introduction to Quantum Bayesian NetworksBayesian NetworksComposing Quantum Computing ControlsThe CCNOT-gateCircuit ImplementationExecuting the CircuitQuiz: Working with Multiple Qubits

Introduction to Bayesian InferenceEstimating a Single Data PointCalculating the log‐likelihood when ignoring the missing dataEstimating a VariableCalculating the Probabilities Related to the Ticket ClassCalculating the ParametersCalculating the Marginal Probability and Log-likelihoodCalculating New ParametersPredict SurvivalQuiz: Bayesian Inference

The Qubit PhaseTwo Different Qubit StatesThe Different States in the Bloch SphereVisualizing the Invisible Qubit PhaseThe Z-gateMulti-qubit PhaseThe Controlled Z-gatePhase KickbackThe Bloch Spheres of the State | +->Quantum Amplitudes and ProbabilitiesQuiz: The World Is Not a Disk

Using Grover's AlgorithmBasic Amplitude AmplificationTwo-qubit AmplificationThe Two‐qubit Grover Searching |10>Quiz: Working with the Qubit Phase

The Convenience Function and Probabilities for RelativesTurning the Problem into a CircuitThe Oracle and Amplifier FunctionsThe Search AlgorithmMultiple ResultsQuiz: Searching for Relatives

Forward SamplingBayesian Rejection SamplingQuantum Rejection SamplingThe Amplifier FunctionQuiz: Sampling

Configuring Your Quantum Machine Learning WorkstationConfiguring Ubuntu for Quantum Machine Learning with PythonHow to Set Up JupyterLab for Quantum Computing on Windows

Course Assessment

Quantum Machine Learning in Python

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