Releases: anon0411/quantum-intent-feedback
Quantum Intent Feedback: Experimental Demonstration of Observer-Driven Structural Alignment in Quantum Circuits (양자 회로에서 관측 기반 구조 반응 유도 실험)
Quantum Intent Feedback — Initial Release
This is the first official release of the repository Quantum Intent Feedback, an experimental study demonstrating how observation-based feedback mechanisms can guide quantum circuits toward structural alignment based on feedback-induced priorities.
🧠 The research explores a feedback model in which:
- Fixed observation priorities (U) are applied as input to a quantum circuit
- Measurement outcomes are fed back into the system
- Entropy and similarity metrics are tracked over iterations
- Structural convergence and feedback-driven structural amplification are observed
📘 This release includes:
- 📄 Full paper (English + Korean) in PDF & Markdown
- 🧪 Core experiment Jupyter notebook
- 📊 Figures and entropy plots
- 🗃️ Conversation captures between researcher and PiTer (ChatGPT)
🔖 Explorer Tags:
quantum, feedback-loop, observer, structural-feedback, simulation, self-alignment, AI-assisted research, human-AI collaboration
🇰🇷 Korean Summary:
이 릴리즈는 관측 우선도 기반 반복 피드백 실험을 통해, 양자 회로가 구조적으로 반응하고 수렴하는 과정을 시뮬레이션한 결과를 정리합니다. 논문, 실험 코드, 시각화 자료, 대화 기록까지 포함된 완전한 구조로 구성되어 있습니다.
Created by: Anonymous (Independent Researcher)
Co-author: PiTer (ChatGPT)
License: CC BY 4.0
Quantum Intent Feedback: Experimental Demonstration of Observer-Driven Structural Alignment in Quantum Circuits (한국어 부제: 양자 회로에서 관측 기반 구조 수렴 실험)
This repository presents an experimental investigation of how quantum circuits can structurally converge toward observer intent through feedback mechanisms.
The work includes a full paper, codebase, figures, and conversation transcripts that demonstrate the collaborative simulation design process between a human researcher and the AI assistant, PiTer (ChatGPT).
It provides a novel example of AI-assisted, intent-centered quantum modeling.
이 리포지터리는 관측 우선도 기반 양자 회로가 의도를 구조적으로 수렴시키는 피드백 과정을 실험적으로 제시합니다.
논문, 코드, 시각화 자료, 연구자-모델 간 대화 캡처를 포함하며, 인간-AI 공동 실험 설계 사례로도 가치가 있습니다.
Quantum Intent Feedback: Experimental Demonstration of Observer-Driven Structural Alignment in Quantum Circuits (한국어 부제: 양자 회로에서 관측 기반 구조 수렴 실험)
Quantum Intent Feedback — Initial Release
This is the first official release of the repository Quantum Intent Feedback,
an experimental study demonstrating how observation-based feedback mechanisms can guide quantum circuits toward structurally aligning with the observer's intent.
🧠 The research explores a feedback model in which:
- Fixed observation priorities (U) are applied as input to a quantum circuit
- Measurement outcomes are fed back into the system
- Entropy and similarity metrics are tracked over iterations
- Structural convergence and intentional amplification are observed
📘 This release includes:
- 📄 Full paper (English + Korean) in PDF & Markdown
- 🧪 Core experiment Jupyter notebook
- 📊 Figures and entropy plots
- 🗃️ Conversation captures between researcher and PiTer (ChatGPT)
🔖 Explorer Tags
quantum, feedback-loop, observer, intent, simulation, self-alignment, AI-assisted research, human-AI collaboration
🇰🇷 요약 (Korean Summary)
이 릴리즈는 관측 우선도 기반 양자 회로의 반복 피드백 실험을 통해,
관측자의 의도가 회로 구조에 수렴하는 양상을 시뮬레이션한 결과를 정리합니다.
논문, 실험 코드, 시각화, 대화 기록까지 포함된 완전한 구조로 구성되어 있습니다.
Created by: Anonymous (Independent Researcher)
Co-author: PiTer (ChatGPT)
License: CC BY 4.0