SwiftQuantum vs Models Zoo

Design, run and understand quantum circuits on iPhone, iPad and Mac. SwiftQuantum is a native quantum circuit IDE for students, educators and developers. Build a circuit, run it, and see what it does — with clear rules about where your work goes. BUILD CIRCUITS YOUR WAY • Drag-and-drop editor with the standard gates: H, X, Y, Z, S, T, rotations, CNOT, CZ, SWAP, Toffoli and more • Start from ready-made circuits such as Bell and GHZ states • See measurement probabilities for every run RUN ON YOUR DEVICE • Free plan: the Standard engine runs circuits up to 10 qubits on your device • Paid plans: Turbo and HyperCore engines simulate general circuits up to 25 qubits on your device • Every engine computes exactly the circuit you drew, in shot mode too • On Team and Enterprise, Clifford (stabilizer) circuits up to 127 qubits run on your device — tested on a real iPhone in airplane mode • A circuit goes to our server only when it needs it (more than 25 qubits with non-Clifford gates), and only after you tap Send AI THAT STAYS ON YOUR DEVICE • Optional: download a compact AI model once, describe a circuit in plain language, and get a circuit back — generated with no network • Your prompts stay on your device • Accepted results are sealed into a local, tamper-evident record you can check in Settings. A seal shows the generation happened on your device; it does not guarantee the circuit is correct • Off by default; delete the model whenever you like ERROR CORRECTION (TEAM AND ENTERPRISE) • Run surface-code experiments on our engine: choose the code distance, physical error rate and decoder • See the logical error rate from Monte Carlo shots with a 95% confidence interval TAKE YOUR WORK WITH YOU • Import and export OpenQASM, and convert circuits to PennyLane and CUDA-Q code • Inspect a circuit's unitary matrix and compare gate fidelity KEEP A RECORD OF WHAT YOU RAN • Q-Footprints: an opt-in practice log of the simulations you run on your device • Your circuit itself is never sent — only the shape of the run • A seal shows a run happened; it is not a skill score or a certification BUILT FOR THE WAY YOU WORK • Native on iPhone, iPad and Mac • Available in 7 languages • Free to start Who it's for: students learning quantum computing by doing, educators teaching with real circuits, and developers prototyping quantum programs. — SwiftQuantum is free to download with optional auto-renewable subscriptions. Payment is charged to your Apple ID at confirmation of purchase and renews automatically unless cancelled at least 24 hours before the end of the current period. Manage or cancel anytime in your App Store account settings. Prices are shown in-app. SwiftQuantum is an independent tool for education and research and is not affiliated with or endorsed by any quantum hardware vendor. Terms of Use: https://legal.swiftquantum.tech/en/terms/ Privacy Policy: https://legal.swiftquantum.tech/en/privacy/

Core ML Models is a curated, on-device AI playground. Download any model from the built-in catalog and try it out instantly — no server, no account, nothing leaves your device. Every model is an open-source release converted from PyTorch to Apple's Core ML format and tuned to run efficiently on the Neural Engine, GPU, or CPU. WHAT YOU CAN DO • Chat with small language models (Gemma, etc.) including multimodal vision+text • Generate images from text with Hyper-SD • Remove backgrounds, matte video subjects, and colorize old photos • Estimate depth and reconstruct 3D faces from a single photo • Detect and classify with YOLO, SigLIP, and zero-shot open-vocabulary models • Separate music stems with Demucs and transcribe audio to MIDI with Basic Pitch • Clone voices and synthesize speech with Kokoro and OpenVoice • Super-resolve images with SinSR and RealESRGAN. DEVELOPER TOOLS, NOT JUST A DEMO • Inspect — see every .mlpackage's input/output tensor shapes, data types, compute-unit setting, on-disk size, and Core ML metadata at a glance. • Benchmark — run warmup + timed iterations on your own device and get average / median / min / max latency plus memory delta. Switch compute units (All, CPU+GPU, CPU+ANE, CPU only) to find the fastest config for your hardware. • Swift Code — export a ready-to-paste Core ML loading + inference snippet wired to the model's actual input/output names, so integration into your own app is copy-paste fast. DESIGNED FOR THE NEURAL ENGINE Each model ships with compute-unit settings tuned per-architecture (Neural Engine, GPU, CPU) so you get the best inference speed Apple Silicon can deliver. OPEN AND TRANSPARENT Every model in the catalog links back to its original paper, repository, and license. Conversion scripts are public on GitHub so you can see exactly how the .mlpackage files were produced. PRIVACY FIRST All inference runs locally on your device. The app only fetches model files from public storage over HTTPS — there are no analytics, no ads, and no account to create. REQUIREMENTS • iPhone or iPad with Apple Silicon recommended for best performance • Some large models require several GB of free storage and ≥ 6 GB RAM