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server/app.py

@@ -251,7 +251,7 @@ def do_step(action_type, gate_type, qubit_0, qubit_1, parameter):
 TASK_DESCRIPTIONS = {
     "Bell State (Easy)": {
         "description": "Create the famous Bell state: (|00⟩ + |11⟩)/√2",
-        "difficulty": "🟢 Easy",
+        "difficulty": "Easy",
         "qubits": 2,
         "noise": "None",
         "connectivity": "Full",
@@ -259,7 +259,7 @@ TASK_DESCRIPTIONS = {
     },
     "GHZ State (Medium)": {
         "description": "Build a 3-qubit GHZ state: (|000⟩ + |111⟩)/√2",
-        "difficulty": "🟡 Medium",
+        "difficulty": "Medium",
         "qubits": 3,
         "noise": "Depolarizing",
         "connectivity": "Linear (0↔1↔2)",
@@ -267,7 +267,7 @@ TASK_DESCRIPTIONS = {
     },
     "Unitary Approx (Hard)": {
         "description": "Approximate a complex unitary: Ry(π/3) ⊗ Rz(π/4) · CNOT",
-        "difficulty": "🔴 Hard",
+        "difficulty": "Hard",
         "qubits": 2,
         "noise": "Thermal",
         "connectivity": "Restricted",
@@ -275,7 +275,7 @@ TASK_DESCRIPTIONS = {
     },
     "Imperfect but Efficient": {
         "description": "GHZ state with emphasis on circuit efficiency",
-        "difficulty": "🟡 Medium",
+        "difficulty": "Medium",
         "qubits": 3,
         "noise": "None",
         "connectivity": "Full",
@@ -283,7 +283,7 @@ TASK_DESCRIPTIONS = {
     },
     "Noise-Dominant": {
         "description": "Bell state optimized for noise resilience",
-        "difficulty": "🟡 Medium",
+        "difficulty": "Medium",
         "qubits": 2,
         "noise": "Thermal (High)",
         "connectivity": "Full",
@@ -291,7 +291,7 @@ TASK_DESCRIPTIONS = {
     },
     "Budgeted Optimization": {
         "description": "GHZ state with strict 3-gate budget",
-        "difficulty": "🟡 Medium",
+        "difficulty": "Medium",
         "qubits": 3,
         "noise": "None",
         "connectivity": "Full",
@@ -299,7 +299,7 @@ TASK_DESCRIPTIONS = {
     },
     "Approximate Target": {
         "description": "4-qubit GHZ with relaxed fidelity threshold (0.80)",
-        "difficulty": "🟡 Medium",
+        "difficulty": "Medium",
         "qubits": 4,
         "noise": "None",
         "connectivity": "Full",
@@ -324,12 +324,12 @@ ACTION_DESCRIPTIONS = {
 }
 
 def create_gradio_app() -> gr.Blocks:
-    with gr.Blocks(title="⚛️ Quantum Circuit Optimizer", theme=gr.themes.Soft()) as demo:
+    with gr.Blocks(title="Quantum Circuit Optimizer", theme=gr.themes.Soft()) as demo:
 
         # Header
         gr.Markdown(
             """
-            # ⚛️ Quantum Circuit Optimizer
+            # Quantum Circuit Optimizer
             ### Build quantum circuits step-by-step to maximize fidelity with target states
             
             **Goal:** Design circuits that are accurate, efficient, noise-resistant, and hardware-compliant.
@@ -337,24 +337,24 @@ def create_gradio_app() -> gr.Blocks:
         )
 
         # Task Selection Section
-        with gr.Accordion("📋 Available Tasks & Challenges", open=False):
+        with gr.Accordion("Available Tasks & Challenges", open=False):
             gr.Markdown(
                 """
                 Choose a task below to start optimizing. Each task has different constraints:
                 
                 | Task | Difficulty | Qubits | Noise | Connectivity | Focus |
                 |------|------------|--------|-------|--------------|-------|
-                | **Bell State** | 🟢 Easy | 2 | None | Full | Basic entanglement |
-                | **GHZ State** | 🟡 Medium | 3 | Depolarizing | Linear | Noise + topology |
-                | **Unitary Approx** | 🔴 Hard | 2 | Thermal | Restricted | Parametric tuning |
-                | **Efficient** | 🟡 Medium | 3 | None | Full | Minimize depth/gates |
-                | **Noise-Dominant** | 🟡 Medium | 2 | High thermal | Full | Noise resilience |
-                | **Budgeted** | 🟡 Medium | 3 | None | Full | 3-gate limit |
-                | **Approximate** | 🟡 Medium | 4 | None | Full | Scale to 4 qubits |
+                | **Bell State** | Easy | 2 | None | Full | Basic entanglement |
+                | **GHZ State** | Medium | 3 | Depolarizing | Linear | Noise + topology |
+                | **Unitary Approx** | Hard | 2 | Thermal | Restricted | Parametric tuning |
+                | **Efficient** | Medium | 3 | None | Full | Minimize depth/gates |
+                | **Noise-Dominant** | Medium | 2 | High thermal | Full | Noise resilience |
+                | **Budgeted** | Medium | 3 | None | Full | 3-gate limit |
+                | **Approximate** | Medium | 4 | None | Full | Scale to 4 qubits |
                 """
             )
 
-        with gr.Accordion("🎓 Quick Start Guide", open=False):
+        with gr.Accordion("Quick Start Guide", open=False):
             gr.Markdown(
                 """
                 ### How to Use:
@@ -378,7 +378,7 @@ def create_gradio_app() -> gr.Blocks:
         gr.Markdown("---")
 
         # Step 1: Task Selection
-        gr.Markdown("### 🎯 Step 1: Select Task")
+        gr.Markdown("### Step 1: Select Task")
         with gr.Row():
             with gr.Column(scale=3):
                 task_dd = gr.Dropdown(
@@ -388,7 +388,7 @@ def create_gradio_app() -> gr.Blocks:
                     info="Select the optimization challenge you want to solve"
                 )
             with gr.Column(scale=1):
-                reset_btn = gr.Button("🔄 Reset Environment", variant="primary", size="lg")
+                reset_btn = gr.Button("Reset Environment", variant="primary", size="lg")
 
         # Task info display
         task_info = gr.Markdown("")
@@ -400,7 +400,7 @@ def create_gradio_app() -> gr.Blocks:
             
             {info.get('description', '')}
             
-            🎯 **Goal:** {info.get('goal', '')}
+            **Goal:** {info.get('goal', '')}
             """
         
         task_dd.change(fn=update_task_info, inputs=[task_dd], outputs=[task_info])
@@ -408,7 +408,7 @@ def create_gradio_app() -> gr.Blocks:
         gr.Markdown("---")
 
         # Step 2: Circuit Building
-        gr.Markdown("### 🔧 Step 2: Build Your Circuit")
+        gr.Markdown("### Step 2: Build Your Circuit")
         
         with gr.Row():
             with gr.Column():
@@ -454,52 +454,52 @@ def create_gradio_app() -> gr.Blocks:
             )
 
         with gr.Row():
-            step_btn = gr.Button("▶️ Execute Step", variant="primary", size="lg", scale=2)
-            state_btn = gr.Button("📊 Get Full State", variant="secondary", scale=1)
+            step_btn = gr.Button("Execute Step", variant="primary", size="lg", scale=2)
+            state_btn = gr.Button("Get Full State", variant="secondary", scale=1)
 
         gr.Markdown("---")
 
         # Step 3: Monitor Progress
-        gr.Markdown("### 📊 Step 3: Monitor Your Progress")
+        gr.Markdown("### Step 3: Monitor Your Progress")
         
         with gr.Row():
             with gr.Column():
                 status_out = gr.Textbox(
-                    label="📍 Current Status",
+                    label="Current Status",
                     lines=4,
                     interactive=False,
                     placeholder="Click 'Reset Environment' to start..."
                 )
                 scores_out = gr.Textbox(
-                    label="🎯 Score Breakdown",
+                    label="Score Breakdown",
                     lines=6,
                     interactive=False
                 )
             
             with gr.Column():
                 circuit_out = gr.Textbox(
-                    label="⚡ Current Circuit",
+                    label="Current Circuit",
                     lines=10,
                     interactive=False,
                     placeholder="Your circuit will appear here..."
                 )
 
         history_out = gr.Textbox(
-            label="📜 Step History",
+            label="Step History",
             lines=8,
             interactive=False,
             placeholder="Action history will be logged here..."
         )
 
         # Advanced: Full State
-        with gr.Accordion("🔬 Advanced: Full Environment State", open=False):
+        with gr.Accordion("Advanced: Full Environment State", open=False):
             state_out = gr.JSON(label="Complete State Dump")
 
         # Footer
         gr.Markdown(
             """
             ---
-            💡 **Tips:**
+            **Tips:**
             - Start simple: H on qubit 0, then CNOT(0,1) creates a Bell state
             - Watch the fidelity score — aim for >0.90 on easy tasks
             - Fewer gates = better efficiency and noise scores