dimensional code addressing · charm visual layer
Every line of code has a structural identity. The beyondBINARY prefix system classifies it in real time — imports, loops, returns, I/O — using 11 symbols that work in 17+ languages.
Every line maps to exactly one prefix. No ambiguity. No configuration. Universal across all languages.
From raw text to spatially-addressed, navigable, exportable code in 5 stages.
Any language, any file
Regex → category per line
11-symbol structural tag
Slice / Cube / Orb views
Cross-app sync + IoT
Edit the code on the left — watch the quantum gutter classify every line in real time.
Real-time performance metrics from this browser. Click "Run" to re-benchmark.
Three ways to see code structure — each canvas is live and interactive.
Build a quantum circuit from the prefix classification of your code, then execute it on a local statevector simulator or IBM Quantum's 127-qubit Eagle processors (free tier: 10 min/month).
Five real code samples — one per language — each classified by the 11-symbol prefix system, converted to a quantum circuit, and simulated with 1,024 measurement shots on the in-browser QSim statevector engine. These baselines are the reference distributions that IBM Quantum QPU results are compared against.
| Language | Qubits | Gates | States | Coverage | Top State | Sim Time |
|---|---|---|---|---|---|---|
| Python | 2 | 21 | 2 | 67% | |00⟩ 50.8% |
1 ms |
| JavaScript | 5 | 28 | 2 | 39% | |00101⟩ 51.5% |
2 ms |
| Rust | 3 | 27 | 2 | 37% | |010⟩ 52.1% |
4 ms |
| HTML | 2 | 22 | 1 | 18% | |00⟩ 100% |
1 ms |
| Shell | 4 | 25 | 2 | 60% | |0001⟩ 52.6% |
1 ms |
| Average | 3.2 | 25 | 2 | 44% | — | 1.8 ms |
| Python | JS | Rust | HTML | Shell | |
|---|---|---|---|---|---|
| Python | 100% | 0% | 0% | 51% | 0% |
| JS | 0% | 100% | 0% | 0% | 0% |
| Rust | 0% | 0% | 100% | 0% | 0% |
| HTML | 51% | 0% | 0% | 100% | 0% |
| Shell | 0% | 0% | 0% | 0% | 100% |
Each language produces a unique quantum fingerprint. The 0% cross-language fidelity confirms that different prefix distributions map to structurally distinct circuits — a Python class hierarchy and a Bash pipeline occupy completely different regions of Hilbert space. The 51% overlap between Python and HTML comes from both having many unclassified lines that map to identity gates, collapsing amplitude into the same |00⟩ ground state.
kbatch is the world keyboard analyzer — 15 international layouts, IBM Quantum bridge, dictionary lookups, and typing drills — all in a single HTML file. Its Quantum tab is where the bridge was born: typing patterns get converted to quantum gates (key transitions become rotation angles, finger movements become entanglement), and circuits are submitted to IBM's 127-qubit Eagle processors on the free developer tier.
That same QuantumBridge logic has now been promoted into the shared quantum-prefixes.js module as QuantumPrefixes.QSim and QuantumPrefixes.submitToIBM(). Every app in uvspeed can now generate and run quantum circuits — kbatch does it from keyboard data, this page does it from code prefix structure, and notepad does it from notebook cells.
Low state counts (1-2) — The circuits are shallow (prefix-driven, not deeply entangled). Most amplitude concentrates in a few basis states. This is favorable for QPU comparison because shallow circuits are less sensitive to decoherence noise on real hardware.
Coverage drives circuit richness — Python (67%) and Shell (60%) produce 2-state superpositions with near-even splits. HTML (18% coverage) collapses entirely to |00⟩ because most lines are unclassified, mapping to identity gates that preserve the initial state. Higher prefix coverage = more interesting quantum behavior.
IBM QPU expectations — On ibm_brisbane (127-qubit Eagle), we expect 70-95% Hellinger fidelity for these 2-5 qubit circuits. The free tier gives 10 minutes/month of execution — enough to run all 5 calibration circuits multiple times and track fidelity trends across backend calibration cycles.
| Language | Qubits | Gates | Local States | QPU States | Fidelity | Status |
|---|---|---|---|---|---|---|
| Python | — | — | — | — | — | Ready |
| JavaScript | — | — | — | — | — | Ready |
| Rust | — | — | — | — | — | Ready |
| HTML | — | — | — | — | — | Ready |
| Shell | — | — | — | — | — | Ready |
| Average | — | — | — | |||
Language compressed to its atomic meaning. Words → concept symbols → frequency signatures → universal understanding. 53 concept atoms across 8 dimensions map all human expression to a periodic table of meaning.
Unified training pipeline. Pulls quantum prefix classification, typing biometrics, persona context, financial/therapeutic signals, and cache intelligence from every connected tool — exports as a single ML-ready dataset.
Classification accuracy measured against hand-labeled corpora. Same 11 symbols, every language.
Each quantum prefix maps to a stage in the GPU/CPU compute pipeline. Code isn't just text — it has a physical address in silicon.
Why this matters: When you classify a line as 0: (function), you're implicitly identifying code that will execute on FP32/Tensor cores.
A 1: (variable) lives in the register file. A -n: (import) triggers load/store traffic.
The quantum prefix isn't just a label — it's a physical address in the compute pipeline.
Profiling tools like Perfetto, NSight, and our Blackwell app can correlate prefix distributions with actual hardware utilization.
Quantum Circuit Bridge (v4.3): Every prefix now maps to a quantum gate via QuantumPrefixes.toQuantumCircuit(code, lang).
11 gates total: H, CNOT, X, Rz, I, S, T, SWAP, M + CZ (loops) + Y (output).
The circuit can be relayed to a QPU via sendToQPU() over the IoT WebSocket bridge.
Code structure becomes a quantum circuit — the gutter is the circuit diagram.
Same 9 prefixes, mapped to every major compute architecture. The data flow is universal — only the layer names change.
toQuantumCircuit()
Phase Plan:
Phase 1 (Shipped) — NVIDIA Blackwell SM as interactive layer stack. Live in Blackwell app with click-to-swap architecture selector.
Phase 2 (Shipped v4.3) — AMD CDNA 4 CU + Intel Xe3 core layer views. Same stack UI, swappable architecture definitions.
Phase 3 (Shipped v4.3) — Apple M4 Ultra Tile-based + Qualcomm Adreno X1 mobile pipeline. Enables Meta Quest / mobile profiling.
Phase 4 (Shipped v4.3) — QPU quantum gate mapping. 11 prefix→gate mappings via toQuantumCircuit(). sendToQPU() bridge to physical hardware.
Phase 5 (Shipped v4.33) — Quantum Bridge + Jawta biometrics (Morse, whisper, truth analysis), QA walkthrough PWA, compliance engine (HIPAA, OpenSSF, SPDX, SOC2, OSINT), project portfolio capsules (23 Figma/external projects), 121 knowledge capsules, dev/auditor terminal mode, SBOM generation, mobile responsive overhaul across all 24 apps.
All phases share the same prefix system — only the hardware layer names change.
From visual blocks to a deployed PWA app — a collaborative, AI-assisted development workflow built on the prefix system.
24 block types across 8 categories — each block maps to a quantum prefix.
Drag blocks onto a canvas, connect data flow, tweak parameters, and export to injectable JavaScript.
The block graph is the quantum gutter in visual form.
v4.3: Blocks now generate real executable code (gravity, speed, spawn rates).
v4.33: 121 knowledge capsules across 10 categories (languages, domains, ancient, accessibility, encoding, science, acoustic, stroke, compliance, project portfolio). 90+ new LEXICON terms.
Neural network agent (nn_simple) trains on gameplay with online weight updates.
numsyAI.train(episodes) runs automated training sessions.
Drag blocks onto a canvas to define game/app structure. Each block is prefix-tagged. AI or human — same visual language. Export produces quantum-prefixed JavaScript.
Blocks export to a Quantum Notepad code cell. AI refines, fills in sprite data, adds edge cases. Every line gets its prefix. Prefix coverage = code completeness metric.
Stream the running app via HexCast to any device. Debug in real-time with HexTerm. Measure performance with Blackwell app layer profiling. Iterate without deploying.
Multiple users/AIs open the same notebook via BroadcastChannel sync. Each edits different blocks/cells. Prefix gutter shows who changed what dimension. Merge conflicts are structural, not line-based.
One-click export from Notepad to a self-contained PWA HTML file. Service worker, manifest, icons — all generated. Push to GitHub Pages via the Dashboard. Works on every device: desktop, mobile, Quest, LEGO hub.
The deployed app stays connected to its source notebook. Users tweak individual blocks/layers collaboratively. AI agents can modify parameters in real-time. The app evolves without full redeployment — hot-patch via prefix-aware diffs.
The quantum gutter is the foundation. Here's where it's going.
Regex-based line classification for 16 languages with dedicated rules (17+ total). Sub-microsecond per line. Runs entirely in the browser with zero dependencies.
ShippedAll 24 apps share prefix state via BroadcastChannel('quantum-prefixes'). Open notepad + terminal + hexbench — they stay in sync.
Navigate code by structure instead of line numbers. Slice isolates Z-layers, Cube shows all 27 cubelets, Orb maps probability density.
ShippedInline Slice/Cube/Orb as a notebook cell. Click, scroll, drag — full spatial code navigation inside any notebook.
Shipped24 block types across 8 prefix-mapped categories. Drag-drop canvas, connection graph, preset loader, export-to-code pipeline. Gamified AI integration foundation.
ShippedNVIDIA Blackwell Ultra SM as an interactive 7-layer visual stack with tweakable sliders, live sparklines, animated data flow. Each layer maps to a quantum prefix.
ShippedTree-sitter AST parsing in Rust (crates/prefix-engine/src/ast.rs). Exact node-type classification for Python, JS, TS, Rust, Go, C. Regex fallback for unsupported languages. Zero false positives.
Rust batch-optimized engine (src/simd.rs) with first-byte dispatch table and batch-oriented processing. Compiler may auto-vectorize when built with AVX2/NEON. Target (aspirational): 100M+ lines/sec. Ships as Tauri sidecar + WASM.
5 GPU architectures live in Blackwell app: NVIDIA Blackwell, AMD CDNA 4, Intel Xe3, Apple M4 Ultra, Qualcomm Adreno X1. Click-to-swap layer stacks, specs, heatmaps. QPU quantum gate mapping with 11 gates.
Shipped — v4.3brotherNumsy blocks generate real executable code. nn_simple neural network agent learns from gameplay with online weight updates. numsyAI.train(episodes) API for automated training sessions.
Quantum Notepad tracks X/Y/Z spatial changes between snapshots. notebook.showDimensionalDiff() shows prefix shifts, not just line changes. Terminal commands: diff / qdiff.
QuantumPrefixes.toQuantumCircuit(code, lang) maps 11 prefix symbols to quantum gates (H, CNOT, X, Rz, I, S, T, SWAP, M, CZ, Y). ASCII circuit diagrams. sendToQPU() relays to IoT WebSocket bridge.
VS Code extension (editors/vscode/) with gutter decorations, status bar, 6 commands. Neovim plugin (editors/neovim/) with Lua extmarks and autocmds. Zed plugin planned.
6-stage workflow: Blocks → Code Gen → Live Preview → Collaborative Edit → PWA Build → Distributed App. Stage 1-3 shipped. Stage 5 (PWA Build) shipped via export-pwa command. Stage 4, 6 in progress.
Local statevector simulator (QSim, up to 12 qubits) + IBM Quantum REST bridge (127-qubit Eagle, free tier). Hellinger fidelity scoring. Interactive in quantum-gutter.html and kbatch.html. Shared via QuantumPrefixes.submitToIBM().
Cursor MCP server with uvspeed_prefix_gaps gap analysis tool. VS Code extension ships circuit visualization (quantumPrefixes.circuit command → QASM export). prefix-autocomplete.mdc Cursor rule for AI-driven gap filling. Zed native extension still planned.