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
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.
The Quantum Measurement Problem
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
Gravitational decoherence rate depends on measurement basis. Testable prediction from Diosi-Penrose model.
Computational verification of Pisot pruning across the trinomial family x^n = x + 1 — three-test suite for the algebraic foundation of Pisot Dimensional Theory.
Only I can make this.
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.
Transliteration of “Decoherence vs Dynamical Casimir Effect” (Schützhold & Tiersch, 2005). Part of the Eckohaus Core Repository Framework — one repo per paper linking formulae, transliteration, schematic design, and authorship metadata in an open catalogue.
Spin echo experiment simulation implementing a polinomially expensive algorithm reproducing a cientific paper.
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.
T1 amplitude and T2 dephasing decay on a qubit density matrix
A bounded, epistemically-labeled CLI harness verifying model-output consistency for a phenomenological spacetime-curvature -> quantum-channel mapping. Model-consistency only, not a physics proof.
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