🧬 QuantumLangChain: Complete Theory & Architecture¶
📋 Table of Contents¶
- License Requirements
- Theoretical Foundation
- System Architecture
- Quantum-Classical Hybridization
- Implementation Details
- License Integration Points
- Development Guidelines
🔐 License Requirements¶
⚠️ IMPORTANT: ALL features require valid licensing with 24-hour grace period for evaluation.
License Tiers¶
graph TB
subgraph "License Tiers"
A[Free Trial - 24hrs]
B[Basic License]
C[Professional License]
D[Enterprise License]
E[Research License]
end
subgraph "Feature Access"
F[Basic Chains]
G[Quantum Memory]
H[Multi-Agent Systems]
I[Enterprise Backends]
J[Research Features]
end
A --> F
B --> F
B --> G
C --> G
C --> H
D --> H
D --> I
E --> J
Grace Period Policy¶
- Duration: 24 hours from first use
- Contact: bajpaikrishna715@gmail.com with machine ID
- Machine ID: Automatically generated hardware fingerprint
- Features: Limited to basic functionality during grace period
🧠 Theoretical Foundation¶
Quantum Information Theory¶
QuantumLangChain is built upon fundamental principles of quantum information theory, extended to classical AI systems through mathematical abstractions.
graph LR
subgraph "Quantum Principles"
A[Superposition]
B[Entanglement]
C[Decoherence]
D[Measurement]
end
subgraph "AI Applications"
E[Parallel Reasoning]
F[Memory Correlation]
G[State Evolution]
H[Decision Collapse]
end
A --> E
B --> F
C --> G
D --> H
Mathematical Foundation¶
Quantum State Representation
Entangled Memory States
Decoherence Evolution
Hybrid Quantum-Classical Framework¶
graph TB
subgraph "Classical Layer"
A[LLM Processing]
B[Traditional ML]
C[Logic Systems]
end
subgraph "Quantum Layer"
D[Quantum Circuits]
E[Quantum States]
F[Quantum Algorithms]
end
subgraph "Hybrid Interface"
G[State Encoding]
H[Measurement]
I[Feedback Loop]
end
A <--> G
B <--> H
C <--> I
G --> D
H --> E
I --> F
D --> G
E --> H
F --> I
🏗️ System Architecture¶
Complete System Overview¶
graph TB
subgraph "User Interface Layer"
A[Python API]
B[CLI Tools]
C[Jupyter Integration]
D[Web Dashboard]
end
subgraph "License Management"
E[License Validator]
F[Grace Period Manager]
G[Feature Gating]
H[Usage Tracking]
end
subgraph "Core Framework"
I[QLChain Engine]
J[EntangledAgents]
K[QuantumMemory]
L[QuantumRetriever]
M[Context Manager]
N[Tool Executor]
O[Prompt Chain]
end
subgraph "Quantum Backends"
P[Qiskit Backend]
Q[PennyLane Backend]
R[Braket Backend]
S[Cirq Backend]
T[Simulator Backend]
end
subgraph "Storage Systems"
U[HybridChromaDB]
V[QuantumFAISS]
W[Classical Stores]
X[Cache Layer]
end
subgraph "Infrastructure"
Y[Monitoring]
Z[Logging]
AA[Security]
BB[Error Handling]
end
A --> E
B --> E
C --> E
D --> E
E --> I
F --> J
G --> K
H --> L
I --> P
J --> Q
K --> R
L --> S
M --> T
I --> U
J --> V
K --> W
L --> X
I --> Y
J --> Z
K --> AA
L --> BB
License Integration Points¶
graph LR
subgraph "Entry Points"
A[Package Import]
B[Function Calls]
C[Class Instantiation]
D[API Endpoints]
end
subgraph "License Checks"
E[Validation]
F[Feature Check]
G[Usage Count]
H[Expiry Check]
end
subgraph "Actions"
I[Allow Access]
J[Grace Period]
K[Deny Access]
L[Upgrade Prompt]
end
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B --> F
C --> G
D --> H
E --> I
F --> J
G --> K
H --> L
⚛️ Quantum-Classical Hybridization¶
Theoretical Model¶
The hybridization follows a structured approach where quantum operations enhance classical computations:
graph TB
subgraph "Classical Processing"
A[Input Processing]
B[Context Analysis]
C[Response Generation]
end
subgraph "Quantum Enhancement"
D[Superposition States]
E[Entangled Memory]
F[Quantum Interference]
end
subgraph "Hybrid Operations"
G[State Encoding]
H[Quantum Evolution]
I[Measurement]
J[Classical Decoding]
end
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B --> G
C --> G
G --> D
G --> E
G --> F
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E --> H
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H --> I
I --> J
J --> A
J --> B
J --> C
Quantum Memory Architecture¶
graph TB
subgraph "Memory Hierarchy"
A[Working Memory]
B[Short-term Memory]
C[Long-term Memory]
D[Episodic Memory]
end
subgraph "Quantum States"
E[psi_work]
F[psi_short]
G[psi_long]
H[psi_episode]
end
subgraph "Operations"
I[Entangle]
J[Evolve]
K[Measure]
L[Decohere]
end
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B <--> F
C <--> G
D <--> H
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G --> K
H --> L
I --> E
J --> F
K --> G
L --> H
Multi-Agent Entanglement¶
graph TB
subgraph "Agent Network"
A[Agent 1]
B[Agent 2]
C[Agent 3]
D[Agent N]
end
subgraph "Entangled States"
E[Psi_12]
F[Psi_13]
G[Psi_23]
H[Psi_global]
end
subgraph "Shared Resources"
I[Quantum Memory]
J[Belief States]
K[Decision Space]
L[Communication Channel]
end
A <--> E
A <--> F
B <--> E
B <--> G
C <--> F
C <--> G
E --> I
F --> J
G --> K
H --> L
A --> I
B --> J
C --> K
D --> L
🔧 Implementation Details¶
Core Components¶
QLChain Engine¶
# Licensed quantum chain implementation
class QLChain:
def __init__(self, **kwargs):
self._validate_license("quantumlangchain", ["core"])
self.quantum_state = None
self.decoherence_level = 0.0
# ... implementation
async def arun(self, query: str) -> Dict:
self._validate_license("quantumlangchain", ["execution"])
# Quantum-enhanced processing
# ... implementation
Quantum Memory System¶
class QuantumMemory:
def __init__(self, classical_dim: int, quantum_dim: int):
self._validate_license("quantumlangchain", ["memory"])
self.classical_memory = np.zeros(classical_dim)
self.quantum_memory = QuantumRegister(quantum_dim)
# ... implementation
async def store(self, key: str, value: Any):
self._validate_license("quantumlangchain", ["storage"])
# Quantum storage with entanglement
# ... implementation
Entangled Agents¶
class EntangledAgents:
def __init__(self, agent_count: int):
self._validate_license("quantumlangchain", ["multi-agent"])
self.agents = []
self.entanglement_matrix = np.zeros((agent_count, agent_count))
# ... implementation
async def collaborate(self, task: str):
self._validate_license("quantumlangchain", ["collaboration"])
# Multi-agent quantum collaboration
# ... implementation
License Validation System¶
graph TB
subgraph "Validation Process"
A[License Check Request]
B[Hardware Fingerprint]
C[License Database]
D[Feature Validation]
E[Grace Period Check]
end
subgraph "Decision Tree"
F{Valid License?}
G{Grace Period?}
H{Feature Allowed?}
end
subgraph "Outcomes"
I[Allow Access]
J[Limited Access]
K[Deny Access]
L[Contact Support]
end
A --> B
B --> C
C --> D
D --> E
E --> F
F -->|Yes| H
F -->|No| G
G -->|Yes| J
G -->|No| K
H -->|Yes| I
H -->|No| L
K --> L
License Integration Points¶
Package-Level Integration¶
# quantumlangchain/__init__.py
from .licensing import LicenseManager, validate_license
# Global license validation on import
_license_manager = LicenseManager()
def _check_package_license():
"""Validate package license on import."""
try:
validate_license("quantumlangchain", grace_hours=24)
print("✅ QuantumLangChain: License validated")
except LicenseExpiredError:
print("❌ License expired. Contact: bajpaikrishna715@gmail.com")
print(f"🔧 Machine ID: {_license_manager.get_machine_id()}")
# Allow 24-hour grace period
_license_manager.start_grace_period()
except LicenseNotFoundError:
print("⚠️ No license found. Starting 24-hour evaluation period.")
print(f"📧 Contact: bajpaikrishna715@gmail.com")
print(f"🔧 Machine ID: {_license_manager.get_machine_id()}")
_license_manager.start_grace_period()
# Automatic license check
_check_package_license()
Function-Level Decorators¶
from functools import wraps
from .licensing import validate_license, FeatureNotLicensedError
def requires_license(features=None, tier="basic"):
"""Decorator for license-protected functions."""
def decorator(func):
@wraps(func)
async def async_wrapper(*args, **kwargs):
try:
validate_license("quantumlangchain", features, tier)
return await func(*args, **kwargs)
except FeatureNotLicensedError as e:
raise RuntimeError(
f"Feature '{func.__name__}' requires {tier} license. "
f"Contact: bajpaikrishna715@gmail.com"
)
@wraps(func)
def sync_wrapper(*args, **kwargs):
try:
validate_license("quantumlangchain", features, tier)
return func(*args, **kwargs)
except FeatureNotLicensedError as e:
raise RuntimeError(
f"Feature '{func.__name__}' requires {tier} license. "
f"Contact: bajpaikrishna715@gmail.com"
)
return async_wrapper if asyncio.iscoroutinefunction(func) else sync_wrapper
return decorator
Class-Level Licensing¶
class LicensedQuantumComponent:
"""Base class for all licensed quantum components."""
def __init__(self, required_features=None, tier="basic"):
self.required_features = required_features or ["core"]
self.tier = tier
self._validate_access()
def _validate_access(self):
"""Validate license access for this component."""
try:
validate_license("quantumlangchain", self.required_features, self.tier)
except LicenseError as e:
machine_id = LicenseManager().get_machine_id()
raise RuntimeError(
f"License required for {self.__class__.__name__}. "
f"Contact: bajpaikrishna715@gmail.com with Machine ID: {machine_id}"
)
def _check_feature_access(self, feature):
"""Check access to specific feature."""
try:
validate_license("quantumlangchain", [feature], self.tier)
return True
except FeatureNotLicensedError:
return False
Usage Tracking¶
graph LR
subgraph "Usage Events"
A[Function Call]
B[Class Creation]
C[Feature Access]
D[API Request]
end
subgraph "Tracking System"
E[Event Logger]
F[Usage Counter]
G[Feature Stats]
H[Time Tracker]
end
subgraph "Actions"
I[License Check]
J[Grace Period]
K[Usage Limits]
L[Renewal Alert]
end
A --> E
B --> F
C --> G
D --> H
E --> I
F --> J
G --> K
H --> L
🛠️ Development Guidelines¶
License-First Development¶
- Every Component: Must include license validation
- Clear Messaging: User-friendly license error messages
- Grace Period: 24-hour evaluation period
- Contact Information: Always provide contact details
- Machine ID: Include hardware fingerprint in errors
- Feature Gating: Tier-based feature access
Error Handling Strategy¶
class QuantumLicenseError(Exception):
"""Base class for quantum license errors."""
def __init__(self, message, machine_id=None, contact_email="bajpaikrishna715@gmail.com"):
self.machine_id = machine_id or LicenseManager().get_machine_id()
self.contact_email = contact_email
full_message = (
f"{message}\n"
f"📧 Contact: {self.contact_email}\n"
f"🔧 Machine ID: {self.machine_id}\n"
f"⏰ Grace Period: 24 hours from first use"
)
super().__init__(full_message)
class LicenseExpiredError(QuantumLicenseError):
"""License has expired."""
pass
class FeatureNotLicensedError(QuantumLicenseError):
"""Feature not available in current license tier."""
pass
class GracePeriodExpiredError(QuantumLicenseError):
"""Grace period has expired."""
pass
Testing with License Mocks¶
import pytest
from unittest.mock import patch
@pytest.fixture
def mock_valid_license():
"""Mock valid license for testing."""
with patch('quantumlangchain.licensing.validate_license', return_value=True):
yield
@pytest.fixture
def mock_expired_license():
"""Mock expired license for testing."""
with patch('quantumlangchain.licensing.validate_license',
side_effect=LicenseExpiredError("License expired")):
yield
def test_quantum_chain_with_license(mock_valid_license):
"""Test quantum chain with valid license."""
chain = QLChain()
result = chain.run("test query")
assert result is not None
def test_quantum_chain_without_license(mock_expired_license):
"""Test quantum chain behavior without license."""
with pytest.raises(RuntimeError, match="License required"):
QLChain()
Documentation Standards¶
Every component must include:
- License Requirements: Clear tier requirements
- Grace Period Notice: 24-hour evaluation period
- Contact Information: bajpaikrishna715@gmail.com
- Feature Matrix: What features require which tier
- Error Handling: Expected license-related errors
- Examples: License-aware usage examples
📊 Feature Matrix¶
graph TB
subgraph "Feature Tiers"
A[Basic - $29/month]
B[Professional - $99/month]
C[Enterprise - $299/month]
D[Research - $49/month]
end
subgraph "Core Features"
E[Basic Chains]
F[Quantum Memory]
G[Simple Backends]
end
subgraph "Professional Features"
H[Multi-Agent Systems]
I[Advanced Backends]
J[Quantum Retrieval]
end
subgraph "Enterprise Features"
K[Distributed Systems]
L[Custom Backends]
M[Advanced Analytics]
end
subgraph "Research Features"
N[Experimental APIs]
O[Research Backends]
P[Academic License]
end
A --> E
A --> F
A --> G
B --> E
B --> F
B --> G
B --> H
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C --> M
D --> N
D --> O
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This comprehensive architecture ensures that every aspect of QuantumLangChain is properly licensed, with clear user guidance and a generous 24-hour grace period for evaluation.