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)".

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

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

The Quantum Measurement Problem

Only I can make this.

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

Simulation and analysis of a cognitive phase transition in quantum observer perception. Based on the Renkel experiment and categorical quantum models.

A conceptual model of spacetime based on discrete cell updates.

"A Python implementation of a deterministic generalization of quantum evolution with entropy-producing decoherence."

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

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

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.

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.