A tutorial on Quantum Noise Characterization and Mitigation
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Updated
Sep 19, 2022 - Jupyter Notebook
A tutorial on Quantum Noise Characterization and Mitigation
Schrödinger’s Cat Simulation
Investigating hyperchaotic driving effects on qubit coherence and entanglement
Reproducible open-system framework for tubulin quantum dynamics: decoherence baselines, HEOM/Redfield validation, Bayesian contraction summaries, and falsifiable non-equilibrium tests.
simulation_check.py
This repository contains code for the research paper "Transition Path and Interface Sampling of Stochastic Schrödinger Dynamics (2024)".
15-qubit Loschmidt-echo protocol for benchmarking mid-circuit measurements on near-term quantum hardware. Includes exact state-vector simulation, H2-1 calibrated surrogate noise modeling, and 400-shot Quantinuum emulator validation via Azure Quantum
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.
The Quantum Measurement Problem
Gravitational decoherence rate depends on measurement basis. Testable prediction from Diosi-Penrose model.
Only I can make this.
Spin echo experiment simulation implementing a polinomially expensive algorithm reproducing a cientific paper.
A collection of pivotal prompts and logical synthesis logs generated during deep collaboration with AI to architect future-proof systems.
Observer Frequency Structure Interpretation – interpretative framework on the quantum measurement problem.
"A Python implementation of a deterministic generalization of quantum evolution with entropy-producing decoherence."
Simulation and analysis of a cognitive phase transition in quantum observer perception. Based on the Renkel experiment and categorical quantum models.
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 conceptual model of spacetime based on discrete cell updates.
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