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Qlens

A testing, debugging, and observability SDK for quantum programs, simulator-first.

Quantum software development lacks the testing and debugging ergonomics classical developers take for granted. Qlens packages statevector inspection, statistical output validation, and circuit equivalence checking into one pip-installable SDK for Qiskit and PennyLane, with a pytest-native testing API built on instrumented execution that captures the statevector after every gate.

import qlens
from qiskit import QuantumCircuit


def test_bell_distribution():
    circuit = QuantumCircuit(2)
    circuit.h(0)
    circuit.cx(0, 1)

    result = qlens.run(circuit)
    qlens.assert_distribution(result, {"00": 0.5, "11": 0.5}, seed=0)

The same test body works against a PennyLane QNode unchanged, and produces the same canonical results: Qlens defines one semantic convention (big-endian bitstrings, canonical basis ordering) and every backend converts at its own boundary.

Install

pip install qlens[qiskit]

Extras: qlens[qiskit], qlens[pennylane], or both. Python 3.11+. Simulator-only; no quantum hardware access is involved anywhere.

What it does

  • qlens.run(circuit): instrumented execution capturing the statevector after every gate, with lazy sampled counts.
  • qlens.assert_distribution(result, expected): chi-square or KS validation of measurement output against an expected distribution, without hand-rolling the statistics.
  • qlens.assert_unitary(circuit): unitarity within numerical tolerance.
  • qlens.assert_equivalent(a, b): same unitary up to global phase, across different gate decompositions.
  • A bundled pytest plugin: fixtures and a qlens marker, registered on install.
  • A public backend contract with entry-point discovery, so further frameworks (Cirq and beyond) plug in as separate packages certified against a shipped conformance suite.

Documentation

Status

Pre-release. Not yet published to PyPI.

License

MIT.


Built by Mo Shehu — mohammedshehu.com

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