macquerel 0.1.1

Quantum state-vector simulator for Apple Silicon

macquerel

A quantum state-vector simulator targeting Apple Silicon's unified-memory architecture.

Features

• CPU backend — pure NumPy reference implementation using the tensordot reshape trick
• MLX backend — Apple Silicon GPU acceleration via MLX, with graceful fallback on other platforms
• Gate fusion compiler — greedy left-to-right fusion of adjacent gates (up to 4 qubits) into composite unitaries
• Gate classification — automatically classifies gates as diagonal, permutation, or dense for optimized dispatch
• Full gate library — I, H, X, Y, Z, S, T, Rx, Ry, Rz, P, CNOT, CZ, SWAP, CP

Installation

Requires Python 3.11+.

uv sync

To enable the MLX backend on Apple Silicon:

uv sync --extra mlx

Usage

from macquerel import Circuit, Simulator

# Bell state
circuit = Circuit(2)
circuit.h(0).cx(0, 1).measure_all()

sim = Simulator()               # defaults to CPU backend
counts = sim.run(circuit, shots=1000)
print(counts)  # Counter({'00': ~500, '11': ~500})

# Statevector (no measurement)
circuit = Circuit(2)
circuit.h(0).cx(0, 1)

sv = sim.statevector(circuit)
print(sv)  # [0.707+0j, 0+0j, 0+0j, 0.707+0j]

# Apple Silicon GPU backend
sim = Simulator(backend="mlx")

Available gates

Method	Gate
.h(q)	Hadamard
.x(q) / .y(q) / .z(q)	Pauli X/Y/Z
.s(q) / .t(q)	S / T phase
.rx(q, θ) / .ry(q, θ) / .rz(q, θ)	Rotation gates
.p(q, λ)	Phase gate
.cx(ctrl, tgt)	CNOT
.cz(ctrl, tgt)	Controlled-Z
.swap(q0, q1)	SWAP
.cp(ctrl, tgt, λ)	Controlled-Phase
.measure(qubits) / .measure_all()	Measurement

Builders return self for chaining.

Architecture

macquerel/
├── gates.py         # Gate matrices + classify()
├── circuit.py       # Circuit / Gate / MeasureOp dataclasses
├── compiler.py      # Gate fusion (fuse_gates)
├── simulator.py     # Simulator — statevector() and run()
└── backends/
    ├── cpu.py       # NumPy backend
    └── mlx_backend.py  # MLX backend (Apple Silicon)

Running tests

uv run pytest

MLX backend tests are automatically skipped when MLX is not installed.

Benchmarks

Quick smoke run (completes in a few seconds):

uv run python tests/benchmarks/bench_backends.py --qubits 10 14 --reps 1

Full benchmarks (may take several minutes at 24+ qubits):

# CPU vs MLX backend — random circuits, various qubit counts
uv run python tests/benchmarks/bench_backends.py

# Single-gate throughput (GB/s)
uv run python benchmarks/bench_single_gate.py

# QFT, random, QAOA circuits + fusion-width sweep
uv run python benchmarks/bench_circuits.py

All scripts print results live as each configuration completes. Pass --json FILE to save results for later comparison.

Requirements

• Python ≥ 3.11
• numpy ≥ 1.24
• mlx ≥ 0.3.0 (optional, Apple Silicon only)