A tutorial on Quantum Noise Characterization and Mitigation

Schrödinger’s Cat Simulation

Investigating hyperchaotic driving effects on qubit coherence and entanglement

simulation_check.py

This repository contains code for the research paper "Transition Path and Interface Sampling of Stochastic Schrödinger Dynamics (2024)".

Reproducible open-system framework for tubulin quantum dynamics: decoherence baselines, HEOM/Redfield validation, Bayesian contraction summaries, and falsifiable non-equilibrium tests.

Only I can make this.

Computational verification of Pisot pruning across the trinomial family x^n = x + 1 — three-test suite for the algebraic foundation of Pisot Dimensional Theory.

Gravitational decoherence rate depends on measurement basis. Testable prediction from Diosi-Penrose model.

T1 amplitude and T2 dephasing decay on a qubit density matrix

A conceptual and experimentally feasible triple-layer protocol based on Young’s double-slit experiment, designed to test whether physical interaction alone suffices for loss of interference or whether conscious observation adds any observable role in quantum measurement.

Spin echo experiment simulation implementing a polinomially expensive algorithm reproducing a cientific paper.

The Quantum Measurement Problem

Observer Frequency Structure Interpretation – interpretative framework on the quantum measurement problem.

This repository contains the code accompanying my thesis on decoherence and preferred tensor product structures in multi-qubit systems. The code explores how decoherence influences the emergence of preferred tensor product structures, relevant for understanding quantum information processing and quantum foundations.

Hey, AI can't make things like this.

A collection of pivotal prompts and logical synthesis logs generated during deep collaboration with AI to architect future-proof systems.

A high-fidelity Quantum Double-Slit Simulator that bridges the gap between rigorous physics and the 'Temporal Thread' philosophical model.

Research-as-code: running a rigorous quantum-gravity research program with AI agents as contributors — GitHub issues, PRs, adversarial review, rigor labels, and CI that verifies every citation. The physics is the testbed; the methodology is the point.