Q10 · Variational & near-term
A 20-module path through q10 · variational & near-term, in study order from foundations to the frontier.
Modules
- Variational Quantum Eigensolver
- Parameterized Quantum Circuits and Ansatz Design
- Hardware-Efficient and Chemistry-Inspired Ansätze
- Quantum Approximate Optimization Algorithm
- QAOA Performance Bounds and Concentration
- Cost-Function and Measurement Estimation in Variational Algorithms
- Classical Optimizers for Variational Quantum Algorithms
- Parameter-Shift Rules and Quantum Gradients
- Barren Plateaus in Variational Landscapes
- Strategies to Mitigate Barren Plateaus
- Expressibility, Entangling Capability, and Trainability Trade-offs
- Quantum Machine Learning Models
- Quantum Feature Maps and Kernel Methods
- Digital Quantum Simulation
- Analog Quantum Simulation
- Variational Quantum Dynamics and Imaginary-Time Evolution
- Tensor-Network Methods for Classical Circuit Simulation
- Matrix Product States and Bond-Dimension Limits
- Tensor-Network Contraction and Quantum Advantage Benchmarks
- Classical Surrogates and Dequantization of Variational Models