lapq 1.0.2

LAP Technologies Python SDK for the QPU-1 quantum processor — 150+ algorithms, full gate set with auto-decomposition.

lapq — LAP Technologies SDK for QPU-1

lapq is a powerful Python SDK for the QPU-1 quantum processor, designed for both beginners and experts. It features a library of over 150+ algorithms and an automatic gate decomposition engine.

Made by SK Mahammad Saad Amin | LAP Technologies

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🔑 API Access

To use this library, you need a QPU-1 API key. Get your key here: https://qpu-1.lovable.app/api-access

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🚀 Quick Start

Installation

pip install lapq

Basic Usage

from lapq import QPU1

# Initialize client
qpu = QPU1("your_api_key_here")

# Run a Bell State circuit
result = qpu.circuit(2).h(0).cnot(0, 1).run()
print(f"Result: {result.bits}") # e.g. "00" or "11"

High-Level Algorithms

from lapq.algorithms import grover, shors_factorization

# Run Grover's search for state |5> on 3 qubits
result = grover(qpu, n=3, marked=[5]).run()
print(result.bits) # "101"

🛠 Features

• 150+ Algorithms: Including Grover, Shor's, VQE, QAOA, QFT, and more.
• Auto-Decomposition: Use high-level gates (CZ, CSWAP, CCZ...) and we handle the math.
• Multi-Format Support: Run raw Qreg, Qiskit, or OpenQASM 2.0.

📄 License

Distributed under the MIT License. See LICENSE for more information.