神经网络 vs QM Simulator

这是一个受 Google Tensorflow 的 Deep playground 启发而制作的应用。本程序大量代码都借鉴了开源项目 Deep playground 。 本程序致力于普及神经网络、人工智能的相关知识。通过本程序可以直观地感受到神经网络训练过程中的变化，包括连接的强弱、每个结点负责识别的特征和最终输出等图像等。 开源地址：https://github.com/ypwhs/NNPlayground_iPad

QM Simulator is a hands-on quantum physics atlas: 54 interactive simulation modules spanning the full arc from quantum foundations to quantum information, paired with 47 bilingual articles. Every computation and rendering happens on your device — no network, no sign-up. WHAT YOU CAN DO • Play with parameters: adjust slit spacing, raise a potential barrier, tune cavity coupling — every chart recomputes in real time. • Learn by level: Basics → Advanced (perturbation, degeneracy, radiation) → Topics (Bell inequalities, quantum error correction, Grover's algorithm), from high-school extension to university QM. • Read linked notes: each article is tied to its simulation, with formulas and figures side by side — switch between Chinese and English anytime. • Explore freely: Bloch sphere, hydrogen wavefunctions, blackbody radiation, Compton scattering, Kronig–Penney, BB84 quantum key distribution — from Planck's 1900 hypothesis to today's quantum computing. WHO IT'S FOR • Physics students: turn textbook formulas into images you can see and manipulate. • Educators & researchers: validate intuitions and demonstrate in class. • The curious: no derivation skills needed — dial the parameters and build quantum intuition. HIGHLIGHTS • 54 simulation modules, all driven by real physics computation (not pre-baked animations). • 47 in-depth articles, fully bilingual, with figures and code. • Fully offline: no ads, no purchases, no tracking, no account required. • Chinese & English UI, follows system language. Educational use: QM Simulator works as a lecture-demonstration companion for quantum mechanics courses.