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Macroscopic quantum coherence
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Macroscopic quantum coherence

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christopher-altman/README.md

Starlab | Deep Future

We are at the very beginning of time for the human race. It is not unreasonable that we grapple with problems. But there are tens of thousands of years in the future. Our responsibility is to do what we can, learn what we can, improve the solutions, and pass them on.

— Richard Feynman

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  1. sat-qkd-security-curves sat-qkd-security-curves Public

    Quantum keys don’t fail quietly—loss and noise can leave you with bits, but no secrecy. We model the cliff to surface silent breakage before it becomes a system risk.

    Python

  2. qkernel-telemetry-anomaly qkernel-telemetry-anomaly Public

    Applied quantum kernels for anomaly detection. Low-data anomaly detection on manifold-structured telemetry, benchmarking entanglement kernels vs classical baselines with geometric diagnostics.

    Python 2

  3. sqnt-hardware-demo sqnt-hardware-demo Public

    Adaptive quantum networks in practice: superposed graph topologies and operator-space spatialization, with reproducible hardware-relevant demos and figures.

    Python 1

  4. qml-verification-lab qml-verification-lab Public

    Verification harness for quantum ML. A reproducible lab for stress-testing quantum models where predictive accuracy, identifiability, curvature, and robustness under noise can diverge.

    Python

  5. autodidactic-qml autodidactic-qml Public

    Recursive law learning under measurement constraints. A falsifiable SQNT-inspired testbed for autodidactic rules: internalizing structure under measurement invariants and limited observability.

    Python 2

  6. bqnn-benchmark bqnn-benchmark Public

    Controlled interpolation between classical and quantum learning. Binarized Quantum Neural Network benchmark harness for systematic sweeping a quantumness parameter to map learning phase transitions.

    Python 2