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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. persistence-signal-detector persistence-signal-detector Public

    A multi-criterion diagnostic framework for detecting latent continuation-interest signatures in autonomous agents using density-matrix entanglement entropy.

    Python 1

  2. ibm-qml-kernel ibm-qml-kernel Public

    Quantum kernel estimation with backend-matched IBM noise modeling, plus reproducible “Wigner’s friend” branch-transfer coherence-witness experiments executed on superconducting quantum hardware.

    Python 7

  3. 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 2

  4. 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

  5. sat-qkd-security-curves sat-qkd-security-curves Public

    Quantum keys can fail quietly. Loss and noise can leave you with bits, but no secrecy. We model the cliff to expose silent breakage before it becomes a system risk.

    Python 2

  6. 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 3