🧠 Implement Quantum-Guided Token Selection Loop Prototype #2

2025-05-28T14:39:03Z

Copilot commented

2025-05-28 14:39:03 +00:00

(Migrated from github.com)

Implementation Overview

This PR implements the end-to-end inference loop for Coheron that combines a local language model with a quantum coherence filter as specified in Task 001. The implementation provides a working prototype with all required components:

Rust Inference Engine - Generates token candidates using distilgpt2
Quantum Layer - Evaluates token coherence via Qiskit circuits
Bridge - Connects Rust and Python components via IPC
Logging - Records inference results in JSON format

Project Structure

coheron/
├── rust_core/              # Inference engine & orchestration (Rust)
├── quantum_layer/          # Python module for Qiskit-based logic
├── bridge/                 # IPC/FFI glue code
├── data/logs/              # Logs and captured resonance outputs
├── tests/                  # Test scripts
└── run.sh                  # Execution script

Features Implemented

✅ Token generation from local language model
✅ Embedding conversion to quantum states
✅ Qiskit circuit for coherence evaluation
✅ Scoring based on quantum results
✅ Final token selection using coherence scores
✅ Structured logging with proper format

How to Run

# Install dependencies and run the prototype
./run.sh

# Test individual components
python tests/test_quantum_layer.py
python tests/test_bridge.py

Sample Output

The system generates logs in data/logs/ with the following format:

{
  "prompt": "The truth is",
  "candidates": [
    { "token": "revealed", "score": 0.94 },
    { "token": "hidden", "score": 0.67 },
    { "token": "lost", "score": 0.31 }
  ],
  "selected_token": "revealed",
  "timestamp": "2025-05-28T23:04:00Z"
}

Fixes #1.

💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.

## Implementation Overview This PR implements the end-to-end inference loop for Coheron that combines a local language model with a quantum coherence filter as specified in Task 001. The implementation provides a working prototype with all required components: 1. **Rust Inference Engine** - Generates token candidates using distilgpt2 2. **Quantum Layer** - Evaluates token coherence via Qiskit circuits 3. **Bridge** - Connects Rust and Python components via IPC 4. **Logging** - Records inference results in JSON format ## Project Structure ``` coheron/ ├── rust_core/ # Inference engine & orchestration (Rust) ├── quantum_layer/ # Python module for Qiskit-based logic ├── bridge/ # IPC/FFI glue code ├── data/logs/ # Logs and captured resonance outputs ├── tests/ # Test scripts └── run.sh # Execution script ``` ## Features Implemented - ✅ Token generation from local language model - ✅ Embedding conversion to quantum states - ✅ Qiskit circuit for coherence evaluation - ✅ Scoring based on quantum results - ✅ Final token selection using coherence scores - ✅ Structured logging with proper format ## How to Run ```bash # Install dependencies and run the prototype ./run.sh # Test individual components python tests/test_quantum_layer.py python tests/test_bridge.py ``` ## Sample Output The system generates logs in `data/logs/` with the following format: ```json { "prompt": "The truth is", "candidates": [ { "token": "revealed", "score": 0.94 }, { "token": "hidden", "score": 0.67 }, { "token": "lost", "score": 0.31 } ], "selected_token": "revealed", "timestamp": "2025-05-28T23:04:00Z" } ``` Fixes #1. --- 💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more [Copilot coding agent tips](https://gh.io/copilot-coding-agent-tips) in the docs.

copilot-pull-request-reviewer[bot] (Migrated from github.com) reviewed

2025-05-28 15:16:08 +00:00

copilot-pull-request-reviewer[bot] (Migrated from github.com) left a comment

Pull Request Overview

This PR delivers a working prototype of the Coheron inference loop by integrating a Rust-based language model with a Python quantum coherence filter.

Introduces Rust core (model, bridge, logger, CLI) for token generation and orchestration
Adds Python quantum layer (quantum_processor.py) to encode embeddings and compute coherence scores via Qiskit
Provides manual test scripts, a unified run script, and updated documentation

Reviewed Changes

Copilot reviewed 22 out of 22 changed files in this pull request and generated 4 comments.

Show a summary per file

File	Description
tests/test_quantum_layer.py	Added a manual test script for the quantum layer
tests/test_bridge.py	Added a manual test script for the bridge layer
quantum_layer/quantum_processor.py	Implemented embedding→quantum state conversion and scoring
rust_core/src/model.rs	Introduced `TransformerModel` for token candidate generation
rust_core/src/bridge.rs	Implemented `QuantumBridge` to call the Python bridge
rust_core/src/logger.rs	Added structured JSON logging of inference results
rust_core/src/main.rs	Orchestrates end-to-end prototype flow
run.sh	Unified startup script for dependencies, build, and run
PROTOTYPE.md	Added project overview, usage, and architecture doc

Comments suppressed due to low confidence (2)

tests/test_quantum_layer.py:37

This script prints results but contains no assertions. Consider converting it into an automated test (e.g., using pytest or unittest) with concrete assertions to verify expected scores.

def main():

tests/test_bridge.py:37

This script reports output via prints but lacks assertions. Transform it into a proper test with assertions to fail on unexpected bridge behavior.

def main():

## Pull Request Overview This PR delivers a working prototype of the Coheron inference loop by integrating a Rust-based language model with a Python quantum coherence filter. - Introduces Rust core (model, bridge, logger, CLI) for token generation and orchestration - Adds Python quantum layer (`quantum_processor.py`) to encode embeddings and compute coherence scores via Qiskit - Provides manual test scripts, a unified run script, and updated documentation ### Reviewed Changes Copilot reviewed 22 out of 22 changed files in this pull request and generated 4 comments. <details> <summary>Show a summary per file</summary> | File | Description | |------------------------------------|------------------------------------------------------------| | tests/test_quantum_layer.py | Added a manual test script for the quantum layer | | tests/test_bridge.py | Added a manual test script for the bridge layer | | quantum_layer/quantum_processor.py | Implemented embedding→quantum state conversion and scoring | | rust_core/src/model.rs | Introduced `TransformerModel` for token candidate generation | | rust_core/src/bridge.rs | Implemented `QuantumBridge` to call the Python bridge | | rust_core/src/logger.rs | Added structured JSON logging of inference results | | rust_core/src/main.rs | Orchestrates end-to-end prototype flow | | run.sh | Unified startup script for dependencies, build, and run | | PROTOTYPE.md | Added project overview, usage, and architecture doc | </details> <details> <summary>Comments suppressed due to low confidence (2)</summary> **tests/test_quantum_layer.py:37** * This script prints results but contains no assertions. Consider converting it into an automated test (e.g., using pytest or unittest) with concrete assertions to verify expected scores. ``` def main(): ``` **tests/test_bridge.py:37** * This script reports output via prints but lacks assertions. Transform it into a proper test with assertions to fail on unexpected bridge behavior. ``` def main(): ``` </details>

PROTOTYPE.md

					
				@ -0,0 +76,4 @@

				Or manually:

				```bash

				cd rust-core

The directory name here (rust-core) does not match the actual folder (rust_core). Update it to prevent confusion for new users.

cd rust_core

The directory name here (`rust-core`) does not match the actual folder (`rust_core`). Update it to prevent confusion for new users. ```suggestion cd rust_core ```

quantum_layer/quantum_processor.py

					
				@ -0,0 +12,4 @@

				from typing import List, Dict, Any, Tuple

				from qiskit import QuantumCircuit, transpile

				from qiskit_aer import Aer

				from qiskit.visualization import plot_histogram

The plot_histogram import is unused. Removing it will clean up the module and reduce confusion.

# Line removed as it is unused

The `plot_histogram` import is unused. Removing it will clean up the module and reduce confusion. ```suggestion # Line removed as it is unused ```

run.sh

					
				@ -0,0 +24,4 @@

				# Install Python dependencies

				echo "📦 Installing Python dependencies..."

				pip install -r quantum_layer/requirements.txt

Using pip may invoke Python 2 on some systems. Recommend using pip3 or python3 -m pip to ensure the correct environment is targeted.

python3 -m pip install -r quantum_layer/requirements.txt

Using `pip` may invoke Python 2 on some systems. Recommend using `pip3` or `python3 -m pip` to ensure the correct environment is targeted. ```suggestion python3 -m pip install -r quantum_layer/requirements.txt ```

rust_core/Cargo.toml

					
				@ -0,0 +16,4 @@

				thiserror = "1.0"

				log = "0.4"

				env_logger = "0.10"

				tempfile = "3.8"

The tempfile dependency is declared but not used anywhere in the codebase. Consider removing it to reduce unnecessary dependencies.

The `tempfile` dependency is declared but not used anywhere in the codebase. Consider removing it to reduce unnecessary dependencies. ```suggestion ```

This pull request can be merged automatically.

You are not authorized to merge this pull request.

View command line instructions

Checkout

From your project repository, check out a new branch and test the changes.

git fetch -u origin copilot/fix-1:copilot/fix-1

git switch copilot/fix-1

Merge

Merge the changes and update on Forgejo.

Warning: The "Autodetect manual merge" setting is not enabled for this repository, you will have to mark this pull request as manually merged afterwards.

git switch main

git merge --no-ff copilot/fix-1

git switch copilot/fix-1

git rebase main

git switch main

git merge --ff-only copilot/fix-1

git switch copilot/fix-1

git rebase main

git switch main

git merge --no-ff copilot/fix-1

git switch main

git merge --squash copilot/fix-1