Update README.md

README.md

@@ -39,17 +39,15 @@ This model demonstrates a proof-of-concept for hybrid quantum-classical machine
 
 Chronos 1.5B supports multiple quantum kernel execution modes:
 
-| Mode                          | Description                                                                                             | Availability                                   |
-|-------------------------------|---------------------------------------------------------------------------------------------------------|------------------------------------------------|
-| **Classical simulation**      | Fully classical implementation of the quantum kernel (default in `inference.py`)                       | Works out-of-the-box                           |
-| **Local quantum circuit**     | Real 125-qubit parametric quantum circuit stored in the repository (`quantum_kernel_circuit.json` + trained gate angles); can be executed via Qiskit Runtime on local backends or simulators | Requires manual activation  |
-| **Cloud execution on IBM Quantum** | Quantum kernel was compiled and executed on the **Heron r2** processor (**backend: ibm_fez**) in 2025 using Qiskit Runtime Sampler (resilience_level=1, optimization_level=3) | Available with an IBM Quantum account |
-
-**Key technical details**:
-- The main 1.5B-parameter model is a **merged** version of VibeThinker-1.5B with a LoRA adapter that contains **trained quantum parameters** (rotation angles of the quantum feature map).
-- These quantum angles were obtained from real executions on the Heron r2 processor (ibm_fez).
-- When loading the model with standard `AutoModel.from_pretrained()`, you get the already-merged weights — the quantum-trained parameters are baked in and work in pure classical mode without requiring quantum hardware.
-- Optionally, users can load the separate quantum circuit from the repository and run the kernel on real IBM Quantum hardware or simulators.
+## Quantum Component Details
+
+| Feature                            | Implementation                                                                 |
+|------------------------------------|---------------------------------------------------------------------------------|
+| Real quantum training              | Quantum rotation angles were optimized on IBM **Heron r2** (`ibm_fez`) in 2025 |
+| Saved quantum parameters           | `quantum_kernel.pkl` — trained 125-qubit gate angles (pickle)                    |
+| Quantum circuit definition         | Available in `k_train_quantum.npy` / `k_test_quantum.npy` (future use)          |
+| Current inference                  | Classical simulation using the trained quantum angles (via cosine similarity)  |
+| True quantum execution (optional)  | Possible by loading `quantum_kernel.pkl` + circuit files and running on IBM Quantum (example scripts will be added) |
 
 ## Architecture