High-performance quantum circuit simulation powered by MLX. Run QFT, VQE, and QCBM benchmarks on Apple Silicon with GPU acceleration. Democratizing quantum computing research.
QFT, VQE, QCBM, Grover
GPU + Unified Memory
M1 / M2 / M3 / M4 Max
Run benchmarks interactively with our native macOS application. Real-time visualization, job management, and automatic result export.
We present mlxQ, an open-source quantum circuit simulation framework built on Apple's MLX array framework, targeting the unified memory architecture of Apple Silicon processors. By eliminating host-device memory transfers inherent in discrete GPU systems, mlxQ enables mid-scale state-vector simulations on consumer hardware with 128-512 GB unified memory. The framework provides a Python-first programming model with automatic Metal GPU acceleration, supporting single- and multi-qubit gate libraries, variational quantum algorithms (VQE, QAOA, QCBM), Hamiltonian simulation with Trotter-Suzuki decomposition, and OpenQASM 2.0 circuit import. We validate correctness through over 230 regression tests with analytical verification. On Apple M1 Max hardware, we demonstrate complete 25-qubit simulation for QFT (7.03s), QAOA (11.07s), and Hamiltonian evolution (40.73s), with sub-millisecond execution for shallow circuits.
Built with State-of-the-Art Technology
A complete toolkit for quantum computing research on Apple Silicon: state vector simulation, comprehensive gate library, algorithm implementations, and publication-ready benchmarks.
Automatic GPU acceleration via Apple's MLX framework. Unified memory eliminates data transfer overhead between CPU and GPU.
Simulate from 1 to 25 qubits with exponential scaling analysis. Sub-millisecond to hours of compute, all on consumer hardware.
Full quantum gate support: Pauli, Hadamard, CNOT, Toffoli, phase gates, rotations, and custom unitaries with automatic adjoint.
yaoquantum.org compatible benchmarks with PennyLane, Qulacs, and Yao.jl patterns. JSON/CSV export and automated plotting.
Run comprehensive quantum circuit benchmarks compatible with yaoquantum.org. Compare QFT, QCBM, VQE, and individual gate operations across qubit counts with automated visualization.
Complete benchmark scaling from 1-25 qubits on Apple M1 Max. All measurements confirm expected O(2n) complexity.
7.03s at 25 qubits
26.28s at 25 qubits (9 layers)
11.07s at 25 qubits
~4.6 hours at 15 qubits
40.73s at 25 qubits
113.26s at 25 qubits
Unlike discrete GPUs that require explicit memory transfers, Apple Silicon's unified memory architecture enables seamless CPU-GPU data sharing. This eliminates the primary bottleneck in quantum state manipulation.
Complete quantum algorithm implementations validated against analytical expectations and established frameworks. Run Grover's search, quantum phase estimation, variational circuits, and Hamiltonian simulation.
QuantumStudio is built on mlxQuantum, a research-grade quantum simulation framework targeting PRX Quantum publication. All benchmarks follow yaoquantum.org standards for direct comparison with established frameworks.
The framework has been validated against PennyLane, Qulacs, Yao.jl, and cuQuantum with comprehensive test coverage across 62 test cases spanning quantum operations, algorithms, and information-theoretic primitives.
A production-ready platform for quantum computing research on Apple Silicon. Pure C++ core with MLX integration, Flutter desktop UI, and comprehensive benchmark compatibility.
Apple's array framework for machine learning. Automatic GPU acceleration, just-in-time compilation, and unified memory optimization.
Native desktop app for macOS. Material 3 design with responsive layouts, live benchmark logs, and result visualization.
High-performance quantum simulation library with complete gate operations, state management, and algorithm implementations.
Dense state vector representation with efficient tensor operations. Support for 1-25 qubits with exponential scaling analysis.
yaoquantum.org compatible benchmarks with JSON/CSV export. Automated plotting with gnuplot integration.
Validated against PennyLane, Qulacs, Yao.jl, and cuQuantum. API patterns match established quantum computing libraries.
Run research-grade quantum simulations on your Mac. Open source, Apple Silicon optimized, no CUDA required.