Advanced Quantum Computing Solutions

QpiAI-Quantum SDK

State Preparation & Quantum Circuit Implementation

Enterprise-grade quantum computing SDK with high-performance simulators, QPU access, and comprehensive state preparation implementations. Execute quantum circuits with precision on our advanced backends.

SDK v1.0 | Python 3.8+

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Quick Start Installation


# Import and initialize
from qpiai_quantum import Circuit

# Create a quantum circuit
circuit = Circuit(2, 2)
circuit.h(0)
circuit.cx(0, 1)
circuit.measure([0, 1], [0, 1])

# Execute on QpiAI-Indus QPU
result = circuit.run(shots=1024, experiment_name="Bell", device_type='qpu')
print(result.get_counts())

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Getting Started

Comprehensive documentation and setup guide for QpiAI-Quantum SDK

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Documentation Guide

Complete technical documentation covering SDK installation, API reference, quantum computing fundamentals, and development best practices for production-grade quantum applications.

Level: All Levels Time: 15 min

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Quantum State Preparations

Fundamental quantum state implementations demonstrating entanglement and superposition on QpiAI backends

Bell States

Implementation of maximally entangled two-qubit Bell states (|Φ⁺⟩, |Φ⁻⟩, |Ψ⁺⟩, |Ψ⁻⟩). Foundation of quantum teleportation, superdense coding, and quantum cryptography protocols. Executed on QpiAI simulators and QPU hardware.

Qubits: 2 Gates: H, CNOT Complexity: O(1)

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GHZ States

Greenberger-Horne-Zeilinger states: multi-qubit maximally entangled states showcasing non-classical correlations. Critical for quantum error correction, multi-party quantum communication, and tests of quantum mechanics fundamentals.

Qubits: 3+ Gates: H, CNOT Complexity: O(n)

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W States

Symmetric multi-qubit entangled states with unique robustness properties. Unlike GHZ states, W states maintain entanglement when qubits are lost, making them valuable for distributed quantum networks and quantum sensing applications.

Qubits: 3+ Gates: RY, CNOT Complexity: O(n)

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Technical Specifications

Simulators

State vector backends with optimized performance

QPU Access

Direct integration with QpiAI-Indus QPU hardware for real quantum execution

Gate Library

Prominent quantum gates support including single-qubit, two-qubit, and parametric operations

Visualization

Built-in circuit diagrams, Bloch sphere, and histogram plotting capabilities

Python API

Intuitive Pythonic interface with comprehensive type hints and documentation

QASM Support

Full OpenQASM compatibility for circuit import/export and interoperability