Classiq engineering and research team
Classiq Quantum Computing Tutorials
Classiq's free tutorials. Algorithms are written in Qmod, their high-level language. Includes machine learning and optimization examples.
Topic
Variational Algorithms
3 courses · 8 tutorials
Courses
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IBM Quantum
Variational Algorithm Design (IBM Learning)
IBM's free eight-hour course on hybrid variational algorithms. Covers cost functions, ansatze, optimizers, VQE, SSVQE and VQD, using IBM Quantum primitives.
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IBM Quantum
Quantum Optimization with IBM Quantum (openHPI)
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.
Free Tutorials
- →
- advanced
- 75 minutes
Adaptive Variational Circuits with ADAPT-VQE in PennyLane
Implement a simplified ADAPT-VQE algorithm in PennyLane. Build an operator pool, greedily select operators by gradient magnitude, grow the ansatz iteratively, and compare convergence against fixed UCCSD for the H2 molecule.
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- intermediate
- 25 min read
QAOA: Quantum Approximate Optimisation Algorithm with PennyLane
Implement the Quantum Approximate Optimisation Algorithm to solve the MaxCut graph problem using PennyLane, and understand how QAOA bridges quantum computing and combinatorial optimisation.
- →
- intermediate
- 30 min read
QAOA for MaxCut: A Complete Qiskit Walkthrough
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.
- →
- advanced
- 18 min read
VQE with Cirq and OpenFermion
Build a complete VQE implementation for H2 using Cirq's parametric gates, OpenFermion for the qubit Hamiltonian, scipy for classical optimization, and the parameter shift rule for exact gradients.
- →
- intermediate
- 25 min read
Variational Quantum Eigensolver with PennyLane
Implement the Variational Quantum Eigensolver to find the ground state energy of a hydrogen molecule using PennyLane and gradient-based optimization.
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- intermediate
- 15 min read
Variational Quantum Eigensolver (VQE) Explained
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.
- →
- intermediate
- 16 min read
Variational Quantum Algorithms with tket
How to implement the Variational Quantum Eigensolver (VQE) using tket's parameterized circuits and scipy optimization.
- →
- intermediate
- 20 min read
QAOA for Max-Cut in Cirq
Implement the Quantum Approximate Optimization Algorithm to solve a small Max-Cut problem using Cirq, with parameterized circuits and classical optimization.