diff --git a/ai-projects/quantum-ml/mcp-requirements.txt b/ai-projects/quantum-ml/mcp-requirements.txt
index 2dbb84646..24ce5f650 100644
--- a/ai-projects/quantum-ml/mcp-requirements.txt
+++ b/ai-projects/quantum-ml/mcp-requirements.txt
@@ -1,2 +1,2 @@
 # Model Context Protocol server dependencies
-mcp>=1.28.0
+mcp>=1.28.1
diff --git a/ai-projects/quantum-ml/production/requirements.txt b/ai-projects/quantum-ml/production/requirements.txt
index 384841098..ea3182a70 100644
--- a/ai-projects/quantum-ml/production/requirements.txt
+++ b/ai-projects/quantum-ml/production/requirements.txt
@@ -19,7 +19,7 @@ torch==2.12.1
 
 # === Quantum ML ===
 # Keep pennylane and pennylane-lightning versions compatible
-pennylane==0.45.0
+pennylane==0.45.1
 pennylane-lightning==0.45.0
 
 # === Production servers / deployment ===
diff --git a/ai-projects/quantum-ml/requirements.txt b/ai-projects/quantum-ml/requirements.txt
index 9fb3baed7..58f97fcfb 100644
--- a/ai-projects/quantum-ml/requirements.txt
+++ b/ai-projects/quantum-ml/requirements.txt
@@ -5,7 +5,7 @@ qiskit==2.4.2
 qiskit-aer==0.17.2
 
 # Quantum Machine Learning
-pennylane>=0.45.0,<1.0.0
+pennylane>=0.45.1,<1.0.0
 ## Pennylane-Qiskit adapter is optional.
 ## It currently conflicts with secure torch baselines because recent torch
 ## versions require sympy>=1.13.1 while pennylane-qiskit 0.39.x requires
@@ -21,7 +21,7 @@ azure-identity>=1.25.3,<2.0.0
 azure-core>=1.41.0,<2.0.0
 
 # Data Processing & Visualization
-pandas>=3.0.3,<4.0.0
+pandas>=3.0.4,<4.0.0
 matplotlib>=3.11.0,<4.0.0
 scikit-learn>=1.9.0,<2.0.0
 seaborn==0.13.2
@@ -36,7 +36,7 @@ pytest==9.1.1
 black>=26.5.1,<27.0.0
 
 # Model Context Protocol (MCP) Server
-mcp>=1.28.0
+mcp>=1.28.1
 pydantic>=2.13.4
 anyio>=4.14.1
 
diff --git a/ai-projects/quantum-ml/web-requirements.txt b/ai-projects/quantum-ml/web-requirements.txt
index 70d8b4282..635b911d6 100644
--- a/ai-projects/quantum-ml/web-requirements.txt
+++ b/ai-projects/quantum-ml/web-requirements.txt
@@ -1,6 +1,6 @@
 Flask==3.1.3
 Flask-CORS==6.0.5
-pennylane==0.45.0
+pennylane==0.45.1
 numpy>=2.5.0
-pandas>=3.0.3
+pandas>=3.0.4
 scikit-learn>=1.9.0