Mathematics#

The equations behind every model in Quantum Mind, written in the form the code computes them. Each page names the class or function that implements each equation, so the mathematics, the model atlas diagrams and the API reference can be read side by side.

        flowchart LR
    accTitle: Mathematics, diagram 1
    accDescr: The core rules feed the quantum-like families, the COBRA belief filter and the decision layer; perception feeds the decision layer.
    C["Core<br/>Born and Lüders rules · Lindblad · likelihood · AIC/BIC"]:::op --> QL["Quantum-like families<br/>projections · interference · walks · Zeno"]:::hum
    C --> B["COBRA belief filter<br/>density matrix · rotated measurement · dephasing"]:::in
    Q["Quantum computing for robots<br/>QUBO encodings · QAOA"]:::in --> R
    S["Quantum sensing<br/>quantum limits · atom interferometer · Kalman filter"]:::in --> R
    C --> R["Decision layer<br/>value of information · calibration · conformal · empirical Bayes"]:::out
    QL --> R
    B --> R
    P["Perception<br/>adapters · Bayes · Dempster-Shafer · Kraus fusion"]:::in --> R
    classDef in fill:#0b2a4a,stroke:#79c0ff,color:#e6edf3
    classDef op fill:#2a1b3d,stroke:#d2a8ff,color:#e6edf3
    classDef out fill:#0f2e1a,stroke:#7ee787,color:#e6edf3
    classDef hum fill:#3d1414,stroke:#ff7b72,color:#e6edf3
    
Core

States, projectors, the Born and Lüders rules, open-system dynamics, parameter transforms, likelihood, AIC, BIC, model recovery.

Core: states, measurement, fitting and comparison
Quantum-like families

Question order and the QQ equality, QLBN, walks, the trust qubit and Zeno perception.

Quantum-like families
COBRA belief filter

Density-matrix belief, context-rotated generalised measurement, dephasing, and the two classical limits.

COBRA belief filter
Quantum computing for robots

QUBO encodings of robot problems and QAOA through Qiskit.

Quantum computing for robot algorithms
Quantum sensing

Quantum limits, the atom interferometer and the dead-reckoning Kalman filter.

Quantum sensing
Robot decision layer

Ensemble uncertainty, ask or act, calibration, conformal sets, Clopper-Pearson, gates, value of information, partial pooling, hand-over costs.

Robot decision layer
Perception and fusion

Detector, speech and gaze adapters; Bayesian, Dempster-Shafer and quantum-like (Kraus) fusion.

Perception and multimodal fusion
Infrastructure

Environments with simulated people, the state-vector simulator and the QUBO container.

Infrastructure