Monium vs GlassBox Dev

Monium puts superconducting-qubit physics in your pocket — a mobile companion to the open-source scqubits library, built for researchers, students, and the quantum-curious. Pick a qubit, tune its parameters with live sliders, and watch the physics update in real time: • Energy spectrum vs. any swept parameter • Wavefunctions over the potential (and in the charge basis) • Matrix elements as a heatmap, and vs. the swept parameter • T1 / T2 coherence times per noise channel • Exact computed values behind every plot, as tables Supported qubits: Transmon, Tunable Transmon (SQUID), and Fluxonium. Built for real work: • Enter the Josephson energy the way you measure it — critical current, junction inductance, or room-temperature normal-state resistance (with a cryo/room ratio). • Save and reload presets per qubit. • Convergence indicators so you can trust the numbers. Everything runs on-device. No account, no ads, no tracking, no network — your work stays on your phone. Monium mirrors scqubits' conventions, and its results are tested against it: energy spectra, matrix elements and coherence times for all three qubits are checked against the Python library's own output.

CryptoKit hands you a final hash or ciphertext and hides everything in between. GLASSBOX rebuilds each algorithm by hand so every intermediate value is visible, tappable, and provably correct against Apple's real implementation — then lets an on-device AI try to crack it, winning on the weak and drowning on the strong. Honesty is a hard requirement. No screen ever fakes progress against strong crypto. Where AI or brute force cannot win, the app shows it failing and explains why. The hand-written teaching engine is checked byte-for-byte against Apple's real CryptoKit/Security output — if they ever disagree, a test fails. WHAT YOU CAN DO • Classical ciphers — Caesar, ROT13, Vigenère, XOR — with an on-device AI cracker that breaks them from ciphertext alone using real statistical cryptanalysis. • Modern families rebuilt by hand and verified against the real thing: AES-128, ChaCha20, DES; SHA-256/512, SHA-1, MD5; RSA, ECC, X25519. Scrub AES through its 10 rounds, step RSA one exponent bit at a time, watch SHA-256 churn its state. • The avalanche on camera: flip one input bit and about half the digest flips. • Crack, Tamper, and Breach labs — a dictionary attack cracks weak passwords instantly while a real, device-timed Argon2id shows why strong hashing takes centuries. • Labs of physics and math: a thermodynamic crack lab, a quantum threat layer (Shor/Grover verdicts + post-quantum survivors), an entropy forge that harvests real sensor noise, and Rosetta panels showing the same cipher in Swift, Python, and C++. • The AI, honestly: a hand-written deep net genuinely learns a reduced-round distinguisher — then genuinely fails at full strength, forever. The flat line is the exhibit. • Hermes — a persistent learner whose brain grows across sessions and syncs across your devices via iCloud. PRIVACY All cryptographic computation runs on your device; your inputs never leave it. The only network traffic is optional iCloud sync of the app's own learning data (in your private iCloud database) and anonymous crash/diagnostic reporting. No accounts, no ads, no tracking.