🌊 PennyLane Backend¶

🔐 Licensed Component - Contact: bajpaikrishna715@gmail.com for licensing

PennyLane Integration Architecture¶

graph TB
    subgraph "PennyLane Components"
        A[Quantum Devices]
        B[Differentiable Circuits]
        C[Optimization Routines]
        D[Quantum ML Models]
    end

    subgraph "Backend Interface"
        E[Device Management]
        F[Gradient Computation]
        G[Circuit Execution]
        H[Parameter Updates]
    end

    subgraph "QuantumLangChain Integration"
        I[Differentiable Chains]
        J[Trainable Memory]
        K[Optimizable Agents]
        L[ML Integration]
    end

    A --> E
    B --> F
    C --> G
    D --> H

    E --> I
    F --> J
    G --> K
    H --> L

🌟 Core Features¶

PennyLane Backend Configuration¶

from quantumlangchain.backends import PennyLaneBackend

# Initialize PennyLane backend
backend = PennyLaneBackend(
    device="default.qubit",
    shots=1000,
    interface="autograd"
)

# Configure for QuantumLangChain
qlchain = QLChain(
    backend=backend,
    quantum_dim=8,
    differentiable=True
)

🔐 License Requirements¶

• Basic PennyLane: Basic license tier (basic devices)
• Professional PennyLane: Professional license tier (advanced devices)
• Enterprise PennyLane: Enterprise license tier (hardware integration)
• Research PennyLane: Research license tier (experimental features)

Contact bajpaikrishna715@gmail.com for licensing.