13 courses · 39 tutorials
AMAZON BRAKET
Amazon Web Services
AWS's free two-course learning plan covering quantum computing fundamentals and hands-on Amazon Braket development. Earns an AWS digital badge after an 80% pass on the assessment.
Coursera
SpecialisationPackt
A complete beginner's specialization covering quantum fundamentals, Qiskit programming, and real quantum algorithms, from high-school maths to running code on real quantum hardware.
Coursera
Packt
A Qiskit-based course that moves from quantum fundamentals into the major quantum algorithms: teleportation, Deutsch, Bernstein-Vazirani, Grover's search, and Shor's factoring algorithm, with implementation on simulators and real quantum hardware.
Udemy
Kumaresan Ramanathan
Udemy's bestselling quantum computing course, created by Kumaresan Ramanathan. Builds from quantum physics fundamentals to quantum programming with IBM Qiskit and Microsoft Q#, running programs on real quantum computers, plus an introduction to quantum machine learning.
Coursera
Packt
A hands-on beginner course teaching quantum computing through IBM's Qiskit framework. Starts from quantum mechanics fundamentals and the classical-bit-versus-qubit distinction, then builds up to gates, circuits, the Deutsch-Jozsa algorithm, quantum cryptography, and teleportation.
Coursera
Fractal Analytics (Srinjoy Ganguly, Shalini Devendrababu)
A beginner-friendly introduction to quantum computing from Fractal Analytics. Two modules covering the history and theory of quantum computing, then qubits, superposition, entanglement, quantum gates, and circuits, with hands-on practice in IBM Qiskit.
IBM Quantum
Julien Gacon, Dr. Daniel J. Egger, Dr. Stefan Woerner, Lucia Cuervo Valor (IBM Quantum)
Free openHPI course on quantum approaches to combinatorial optimization, developed with IBM Quantum. Covers QAOA, VQE, and the quadratic unconstrained binary optimization (QUBO) framework with Qiskit implementation.
IBM Quantum
Dr. Christa Zoufal, Julien Gacon, Dr. David Sutter (IBM Quantum)
Free openHPI course on quantum machine learning developed with IBM Quantum Research. Covers variational quantum classifiers, quantum kernel methods, QGANs, and hands-on implementation in Qiskit.
IBM Quantum
Free intermediate course from IBM covering Grover's search, quantum phase estimation, and the fundamentals of quantum algorithm design.
IBM Quantum
Dr. Elisa Bäumer and Carmen Recio Valcarce, IBM Quantum
Free two-week Qiskit course on the Hasso Plattner Institute's openHPI platform, taught by IBM Quantum researchers. Covers quantum computing fundamentals, the Qiskit SDK, and implements Deutsch-Jozsa and Grover's algorithm from scratch.
Qiskit
IBM Quantum / Qiskit Team
The original open-source Qiskit Textbook, now archived on GitHub, covering everything from quantum gates and basic circuits to Grover's algorithm, Shor's algorithm, quantum error correction, and quantum machine learning with interactive Jupyter notebooks.
QUBIT
Dr. Donovan
A free, self-paced introduction to quantum computing. Nine modules take you from what a qubit actually is to running your own circuit in Qiskit, using the interactive Bloch sphere and circuit builder throughout. No physics degree required.
Udemy
Hoang Quy La
A hands-on Udemy course by Hoang Quy La covering qubits, quantum gates, and quantum circuits in Python with Cirq and Qiskit, plus the Deutsch-Jozsa algorithm, Grover's algorithm, the quantum Fourier transform, quantum phase estimation, variational quantum circuits, and an introduction to quantum error correction.
Write your first quantum program in OpenQASM 3, the universal quantum assembly language used by IBM Quantum, Qiskit, and cross-platform toolchains.
A comprehensive beginner guide to Qiskit covering single-qubit gates, two-qubit gates, circuit drawing, statevector simulation, measurement, and histograms, with 20+ code examples.
Learn how Qiskit's transpiler inserts SWAP gates to route circuits onto device connectivity graphs. Understand routing heuristics and how to minimize SWAP overhead.
Implement the quantum volume protocol in Qiskit to compare hardware quality across devices. Understand how QV relates to circuit depth, qubit count, and gate fidelity.
Build the Quantum Approximate Optimization Algorithm from scratch in Qiskit to solve MaxCut on small graphs. Understand the circuit structure, cost function, and how to tune the depth parameter p.
Build a working quantum teleportation circuit in Qiskit - create an entangled pair, perform a Bell measurement, apply classical corrections, and verify the teleported state.
Learn how quantum error correction works by implementing the 3-qubit bit-flip code in Qiskit - encode a logical qubit, introduce an error, detect it with syndrome measurement, and correct it.
Build a true quantum random number generator using superposition and measurement in Qiskit, and understand why quantum randomness is fundamentally different from classical pseudo-randomness.
Split a large quantum circuit across smaller QPUs using Qiskit's circuit cutting addon. Covers both wire cuts and gate cuts, plus when the classical overhead becomes prohibitive.
How Qiskit's transpiler transforms abstract circuits into hardware-executable form: qubit mapping, SWAP insertion, gate decomposition, and optimization passes.
Write your first quantum program in Qiskit, build a Bell state, run it on a local simulator, and interpret the results.
Implement discrete-time quantum walks on a line and cycle graph in Qiskit, visualize the quadratic spreading advantage over classical random walks, and understand the deep connection to Grover's algorithm.
Step-by-step guide to installing Qiskit, building your first quantum circuit, creating a Bell state, simulating it locally, and running it on a real IBM Quantum device.
Use Qiskit fake backends to simulate real IBM quantum device noise locally, enabling fast and realistic circuit testing without using hardware credits.
How to visualize quantum circuits, measurement histograms, statevectors, and Bloch sphere representations using Qiskit's built-in tools.
Reconstruct an unknown quantum state from measurement data using Qiskit's StateTomography workflow. Understand when tomography is useful and when it is not.
Learn how the Deutsch-Jozsa algorithm solves in a single query a problem that requires exponentially many classical queries, and implement both constant and balanced oracles in Qiskit.
Use the statevector simulator to debug quantum circuits: print amplitudes, plot probability distributions, probe mid-circuit state, and catch common bugs.
How to design and implement oracles for Grover's search algorithm: from Boolean functions to quantum circuits, phase kickback, and multi-target search.
Understand density matrices, mixed states, and the partial trace. Essential for reasoning about noise, decoherence, and real hardware, with working Qiskit examples.
Simulate quantum systems by decomposing time evolution into circuits using first and second-order Trotterization. Practical implementation with Qiskit's PauliEvolutionGate and LieTrotter.
Install Qiskit, build your first quantum circuit in Python, and run it on a real IBM quantum computer, all in under 30 minutes.
Run randomized benchmarking protocols in Qiskit to measure average gate fidelity and diagnose systematic errors on real quantum hardware.
Implement noise characterization using Qiskit Experiments: T1 inversion recovery, T2 Ramsey, single-qubit RB, two-qubit RB, and cross-resonance tomography on a fake backend.
How VQE works: the variational principle, ansatz design, classical optimizer loop, and a complete Qiskit implementation for finding the ground state of a simple Hamiltonian.
Implement quantum volume measurement from scratch using random SU(4) circuits, ideal vs noisy simulation, and the heavy output generation problem.
Extend Grover's algorithm to handle multiple marked items. Derive the optimal number of iterations, implement multi-solution oracles in Qiskit, and use quantum counting to find the solution count.
Side-by-side Qiskit Runtime and Mitiq for zero-noise extrapolation: which library handles gate folding better, when Richardson extrapolation outperforms linear fits, and which to pick.
How to convert between Qiskit QuantumCircuit objects and OpenQASM 3 strings for sharing, archiving, and cross-platform workflows.
Reconstruct an unknown 1- or 2-qubit state with Qiskit's state tomography protocol. Covers measurement basis selection, SPAM correction, and how many shots you actually need.
A practical guide to porting Qiskit 0.x code to Qiskit 1.0: deprecated APIs removed, primitives V2 migration, backend changes, and transpiler updates.
Understand Simon's algorithm, the first proof of exponential quantum speedup, covering the hidden period problem, quantum circuit, classical post-processing over GF(2), and a complete Qiskit implementation.
Characterize quantum gates and channels using process tomography in Qiskit. Understand how to reconstruct the process matrix and interpret fidelity results.
Build and manipulate Hamiltonians efficiently using Qiskit's SparsePauliOp class for variational algorithms and quantum chemistry simulations.
Build the quantum Fourier transform circuit from scratch in Qiskit, understand why it works, and see how it underpins Shor's algorithm and quantum phase estimation.
Everything you need to set up Python for quantum computing: virtual environments, NumPy fundamentals, and your first quantum program from scratch.
Implement the Bernstein-Vazirani algorithm in Qiskit: find a hidden bit string in a single query using superposition and phase kickback, versus N queries classically.
How to use Qiskit Runtime's Sampler and Estimator primitives to run circuits on IBM quantum hardware efficiently, replacing the deprecated execute() API.
Step-by-step Qiskit noise model with depolarizing channels, T1/T2 decay, and readout error. Includes importing real IBM backend calibrations so simulations match hardware.