Fix trailing whitespace and formatting issues in quantum environment documentation - Remove trailing whitespace from code blocks and documentation - Fix end-of-file formatting in README.md - Ensure all pre-commit checks pass for workflow compatibility

environments/community/README.md

@@ -1004,7 +1004,7 @@ qml.RY(classical_data, wires=qubit)
 for layer in range(n_layers):
     for qubit in range(n_qubits):
         qml.RY(learnable_params[layer, qubit], wires=qubit)
-    
+
     # Entanglement pattern
     for i in range(n_qubits - 1):
         qml.CNOT(wires=[i, i + 1])

environments/community/quantum_hybrid/README.md

@@ -91,7 +91,7 @@ qml.RY(classical_data, wires=qubit)
 for layer in range(n_layers):
     for qubit in range(n_qubits):
         qml.RY(learnable_params[layer, qubit], wires=qubit)
-    
+
     # Entanglement pattern
     for i in range(n_qubits - 1):
         qml.CNOT(wires=[i, i + 1])
@@ -133,7 +133,7 @@ Production Systems: Develop practical quantum-enhanced language models
 Repository Structure
 /environments/hack0/env_quant/
 ├── atropos.py                    # Main environment implementation
-├── requirements.txt              # Python dependencies  
+├── requirements.txt              # Python dependencies
 ├── README.md                     # This documentation
 ├── quantum_hybrid_artifacts.tar.gz  # Training artifacts
 └── data/
@@ -164,4 +164,3 @@ Nous Research for Hermes-3-70B API access
 Weights & Biases for experiment tracking
 PyTorch for automatic differentiation through quantum circuits
 This environment represents cutting-edge research in quantum machine learning for NLP. While quantum advantages are still under investigation, the framework provides a foundation for future breakthroughs in quantum-enhanced language processing.
-