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Contents
Overview
Installation
Quickstart / Tutorials
Minimal Core Demo
Benchmark Performance Demo
Hypercausal Chain Demo
Training with Callbacks Demo
Advanced Training with Callbacks
Quantum Hypercore Case Study
Full Hypercausal System Demo (PennyLane + SPSA + KL)
Architecture
Theory & Concepts
Changelog / Versioning
Contributing
API Overview
Backends
C++ Backend (pybind11)
PennyLane Backend
Qiskit Backend
Core Engine
Backend Interface
Quantum Model Abstractions
Backend Registry
Core Types
Hypercausal Graph
Hypercausal Graph
Hypercausal Node
Projection Policies
Loss Functions
Task Losses
Coherence Loss
Consistency Loss
Callbacks
Callback Base Classes
Depth Control Callback
Telemetry Callback
Predictors
Anticipator
Projector
Metrics
Anomaly Metrics
Control Metrics
Forecasting Metrics
Causal-Indefiniteness Metrics
Optimization
Optimizer API
NumPy Registry
NumPy Optimizers
Adaptive Adam Optimizer (Adam)
Dual Ascent Controller (DA)
Finite Difference Evaluator (FD)
K-FAC Natural Curvature Optimizer (K-FAC)
Model Predictive Controller (MPC)
Natural Gradient Descent (NGD)
SPSA Stochastic Optimizer (SPSA)
Trust-Region Stability Optimizer (TR)
Core Utility Functions (Utils)
Examples
Minimal Core Demo
GitHub Repository
.rst
.pdf
Examples
Contents
Submodules
Examples
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Submodules
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Minimal Core Demo
Contents
Submodules
