1
Hybrid Quantum-Classical Systems
Architecture of Variational Algorithms
The variational principle, quantum-classical architecture, expectation value estimation, gradient estimation, the hybrid optimization landscape, VQA as system identification — plus the Platonic frame (poker vs Bell), the quantum subsystem as a stochastic objective generator, and the separation of objective from dynamics.
Lessons
1.1
The Variational Principle
1.2
The Quantum-Classical Architecture
1.3
Expectation Value Estimation
1.4
Gradient Estimation
1.5
The Hybrid Optimization Landscape
1.6
VQA as System Identification
1.7
Epistemic vs Ontological Uncertainty: The Poker/Bell Frame
1.8
The Quantum Subsystem as Stochastic Objective Generator
1.9
The Separation of Objective and Dynamics
Guided instruction and research mentorship are offered separately → hbar.work