lapq 1.0.6.2

LAP Technologies Python SDK for the QPU-1 quantum processor — 170+ algorithms, full gate set with auto-decomposition. ECC Shor RCA adder + SSE read timeout fix (no more random ReadTimeoutError on long circuits).

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 170+ quantum algorithms across 12 categories and an automatic gate decomposition engine that handles all the math for you.

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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📦 Installation

pip install lapq

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🚀 Quick Start

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"

Three Levels of Access

1. High-Level Algorithms (150+ ready-to-run)

from lapq.algorithms import bell_state, grover, vqe_molecular, shors_factorization

# Bell state
result = bell_state(qpu).run()

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

# VQE molecular simulation
result = vqe_molecular(qpu, n_qubits=4).run()

2. Mid-Level Circuit Builder (Fluent API)

result = qpu.circuit(3).h(0).crx(0, 1, 0.5).cswap(0, 1, 2).ccz(0, 1, 2).run()

3. Low-Level Raw Access (Qreg / Qiskit / OpenQASM)

# Raw Qreg
qpu.run_qreg("q = Qreg(2)\nq.H(0)\nq.CNOT(0,1)\nprint(q.measure())")

# Qiskit
qpu.run_qiskit("""
from qiskit import QuantumCircuit
qc = QuantumCircuit(2)
qc.h(0); qc.cx(0, 1); qc.measure_all()
""")

# OpenQASM
qpu.run_openqasm("""
OPENQASM 2.0;
include "qelib1.inc";
qreg q[2]; creg c[2];
h q[0]; cx q[0],q[1];
measure q -> c;
""")

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🛠 Features

170+ Quantum Algorithms

Category	Examples
Search & Optimization	Grover, QAOA MaxCut, Amplitude Amplification, TSP
Chemistry & Simulation	VQE, QPE, Trotter-Suzuki, Hubbard Model
Machine Learning	QNN, QSVM, QGAN, Quantum Autoencoder
Cryptography	BB84, E91, Shor's Factorization, Quantum Money
Oracle & Boolean	Deutsch-Jozsa, Bernstein-Vazirani, Simon's
Transforms & Arithmetic	QFT, Adder, Multiplier, Comparator, GCD
States & Communication	Bell, GHZ, W, Teleportation, Superdense
Quantum Walks	Discrete, Continuous, Coined, Szegedy
Benchmarking	RB, XEB, Quantum Volume, Mirror
Dynamics & Lattice	Heisenberg, Ising, XY Model, Floquet
ECC Shor	Shor's for Elliptic Curve Cryptography (P-256, secp256k1)
Miscellaneous	HHL, VQLS, Monte Carlo, Error Correction

Auto Gate Decomposition

Use high-level gates like CZ, CSWAP, CCZ, RXX, RYY, RZZ, ECR, and more — they are automatically decomposed into QPU-1 native primitives (H, X, Y, Z, S, T, Rx, Ry, Rz, CNOT, CCNOT, SWAP) with minimal CNOT count.

Batch Execution

results = qpu.batch_fast([
    qpu.circuit(2).h(0).cnot(0, 1),
    qpu.circuit(3).ghz(),
    qpu.circuit(4).qft(),
])
for r in results:
    print(r.bits)

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📊 Circuit Inspection

Generate and inspect circuits without an API key:

from lapq.circuit import Circuit

c = Circuit(3, client=None)
c.h(0).cnot(0, 1).cnot(1, 2)
print(c.to_qreg())   # View Qreg source code
print(c.gate_count()) # Gate count
c.draw()              # Pretty-print circuit

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📄 License

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

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🔗 Links

• QPU-1 Dashboard: https://qpu-1.lovable.app
• API Key Signup: https://qpu-1.lovable.app/api-access
• PyPI: https://pypi.org/project/lapq/