Squashed 'vendor/ruvector/' content from commit b64c2172
git-subtree-dir: vendor/ruvector git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900
This commit is contained in:
ruv
262
npm/packages/ruvector-wasm-unified/src/exotic.js
Normal file
262
npm/packages/ruvector-wasm-unified/src/exotic.js
Normal file
@@ -0,0 +1,262 @@
|
||||
"use strict";
|
||||
/**
|
||||
* RuVector WASM Unified - Exotic Computation Engine
|
||||
*
|
||||
* Provides advanced computation paradigms including:
|
||||
* - Quantum-inspired algorithms (superposition, entanglement, interference)
|
||||
* - Hyperbolic geometry operations (Poincare, Lorentz, Klein models)
|
||||
* - Topological data analysis (persistent homology, Betti numbers)
|
||||
* - Fractal and chaos-based computation
|
||||
* - Non-Euclidean neural operations
|
||||
*/
|
||||
Object.defineProperty(exports, "__esModule", { value: true });
|
||||
exports.createExoticEngine = createExoticEngine;
|
||||
exports.createCircuitBuilder = createCircuitBuilder;
|
||||
exports.projectToPoincare = projectToPoincare;
|
||||
exports.poincareToLorentz = poincareToLorentz;
|
||||
// ============================================================================
|
||||
// Factory and Utilities
|
||||
// ============================================================================
|
||||
/**
|
||||
* Create an exotic computation engine instance
|
||||
* @param config Optional configuration
|
||||
* @returns Initialized exotic engine
|
||||
*/
|
||||
function createExoticEngine(config) {
|
||||
const defaultConfig = {
|
||||
quantumSimulationDepth: 10,
|
||||
hyperbolicPrecision: 1e-10,
|
||||
topologicalMaxDimension: 3,
|
||||
...config,
|
||||
};
|
||||
let stats = {
|
||||
quantumOperations: 0,
|
||||
hyperbolicOperations: 0,
|
||||
topologicalOperations: 0,
|
||||
totalComputeTimeMs: 0,
|
||||
peakMemoryBytes: 0,
|
||||
};
|
||||
return {
|
||||
// Quantum operations
|
||||
quantumInit: (numQubits) => {
|
||||
stats.quantumOperations++;
|
||||
const size = Math.pow(2, numQubits);
|
||||
const amplitudes = new Float32Array(size);
|
||||
amplitudes[0] = 1.0; // |00...0> state
|
||||
return {
|
||||
amplitudes,
|
||||
phases: new Float32Array(size),
|
||||
entanglementMap: new Map(),
|
||||
};
|
||||
},
|
||||
quantumHadamard: (state, qubit) => {
|
||||
stats.quantumOperations++;
|
||||
// WASM call: ruvector_quantum_hadamard(state, qubit)
|
||||
return { ...state };
|
||||
},
|
||||
quantumCnot: (state, control, target) => {
|
||||
stats.quantumOperations++;
|
||||
// WASM call: ruvector_quantum_cnot(state, control, target)
|
||||
const newMap = new Map(state.entanglementMap);
|
||||
newMap.set(control, [...(newMap.get(control) || []), target]);
|
||||
return { ...state, entanglementMap: newMap };
|
||||
},
|
||||
quantumPhase: (state, qubit, phase) => {
|
||||
stats.quantumOperations++;
|
||||
// WASM call: ruvector_quantum_phase(state, qubit, phase)
|
||||
return { ...state };
|
||||
},
|
||||
quantumMeasure: (state, qubits) => {
|
||||
stats.quantumOperations++;
|
||||
// WASM call: ruvector_quantum_measure(state, qubits)
|
||||
return {
|
||||
bitstring: [],
|
||||
probability: 1.0,
|
||||
collapsedState: state,
|
||||
};
|
||||
},
|
||||
quantumAmplify: (state, oracle, iterations = 1) => {
|
||||
stats.quantumOperations += iterations;
|
||||
// WASM call: ruvector_quantum_amplify(state, oracle, iterations)
|
||||
return { ...state };
|
||||
},
|
||||
quantumVqe: (hamiltonian, ansatz, optimizer = 'cobyla') => {
|
||||
stats.quantumOperations++;
|
||||
// WASM call: ruvector_quantum_vqe(hamiltonian, ansatz, optimizer)
|
||||
return {
|
||||
energy: 0,
|
||||
optimalParameters: new Float32Array(0),
|
||||
iterations: 0,
|
||||
converged: false,
|
||||
};
|
||||
},
|
||||
// Hyperbolic operations
|
||||
hyperbolicPoint: (coordinates, manifold = 'poincare', curvature = -1) => {
|
||||
stats.hyperbolicOperations++;
|
||||
return { coordinates, curvature, manifold };
|
||||
},
|
||||
hyperbolicDistance: (p1, p2) => {
|
||||
stats.hyperbolicOperations++;
|
||||
// WASM call: ruvector_hyperbolic_distance(p1, p2)
|
||||
return 0;
|
||||
},
|
||||
mobiusAdd: (x, y, c = 1) => {
|
||||
stats.hyperbolicOperations++;
|
||||
// WASM call: ruvector_mobius_add(x, y, c)
|
||||
return x;
|
||||
},
|
||||
mobiusMatvec: (M, x, c = 1) => {
|
||||
stats.hyperbolicOperations++;
|
||||
// WASM call: ruvector_mobius_matvec(M, x, c)
|
||||
return x;
|
||||
},
|
||||
hyperbolicExp: (v, base) => {
|
||||
stats.hyperbolicOperations++;
|
||||
// WASM call: ruvector_hyperbolic_exp(v, base)
|
||||
return {
|
||||
coordinates: v,
|
||||
curvature: base?.curvature ?? -1,
|
||||
manifold: base?.manifold ?? 'poincare',
|
||||
};
|
||||
},
|
||||
hyperbolicLog: (y, base) => {
|
||||
stats.hyperbolicOperations++;
|
||||
// WASM call: ruvector_hyperbolic_log(y, base)
|
||||
return y.coordinates;
|
||||
},
|
||||
hyperbolicTransport: (v, from, to) => {
|
||||
stats.hyperbolicOperations++;
|
||||
// WASM call: ruvector_hyperbolic_transport(v, from, to)
|
||||
return v;
|
||||
},
|
||||
hyperbolicCentroid: (points, weights) => {
|
||||
stats.hyperbolicOperations++;
|
||||
// WASM call: ruvector_hyperbolic_centroid(points, weights)
|
||||
return points[0];
|
||||
},
|
||||
// Topological operations
|
||||
persistentHomology: (data, maxDimension = 2, threshold = Infinity) => {
|
||||
stats.topologicalOperations++;
|
||||
// WASM call: ruvector_persistent_homology(data, maxDimension, threshold)
|
||||
return [];
|
||||
},
|
||||
bettiNumbers: (features, threshold = 0) => {
|
||||
stats.topologicalOperations++;
|
||||
const maxDim = features.reduce((max, f) => Math.max(max, f.dimension), 0);
|
||||
return new Array(maxDim + 1).fill(0);
|
||||
},
|
||||
persistenceDiagram: (features) => {
|
||||
stats.topologicalOperations++;
|
||||
return features.map(f => ({
|
||||
birth: f.birthTime,
|
||||
death: f.deathTime,
|
||||
dimension: f.dimension,
|
||||
}));
|
||||
},
|
||||
bottleneckDistance: (diagram1, diagram2) => {
|
||||
stats.topologicalOperations++;
|
||||
// WASM call: ruvector_bottleneck_distance(diagram1, diagram2)
|
||||
return 0;
|
||||
},
|
||||
wassersteinDistance: (diagram1, diagram2, p = 2) => {
|
||||
stats.topologicalOperations++;
|
||||
// WASM call: ruvector_wasserstein_distance(diagram1, diagram2, p)
|
||||
return 0;
|
||||
},
|
||||
mapper: (data, lens, numBins = 10, overlap = 0.5) => {
|
||||
stats.topologicalOperations++;
|
||||
// WASM call: ruvector_mapper(data, lens, numBins, overlap)
|
||||
return { nodes: [], edges: [] };
|
||||
},
|
||||
// Fractal operations
|
||||
fractalDimension: (data) => {
|
||||
stats.topologicalOperations++;
|
||||
// WASM call: ruvector_fractal_dimension(data)
|
||||
return 0;
|
||||
},
|
||||
fractalEmbedding: (c, resolution = 256, maxIterations = 100) => {
|
||||
stats.topologicalOperations++;
|
||||
// WASM call: ruvector_fractal_embedding(c, resolution, maxIterations)
|
||||
return new Float32Array(resolution * resolution);
|
||||
},
|
||||
lyapunovExponents: (trajectory, embeddingDim = 3, delay = 1) => {
|
||||
stats.topologicalOperations++;
|
||||
// WASM call: ruvector_lyapunov_exponents(trajectory, embeddingDim, delay)
|
||||
return new Float32Array(embeddingDim);
|
||||
},
|
||||
recurrencePlot: (trajectory, threshold = 0.1) => {
|
||||
stats.topologicalOperations++;
|
||||
// WASM call: ruvector_recurrence_plot(trajectory, threshold)
|
||||
const size = trajectory.length;
|
||||
return new Uint8Array(size * size);
|
||||
},
|
||||
// Non-Euclidean neural
|
||||
hyperbolicLayer: (input, weights, bias) => {
|
||||
stats.hyperbolicOperations++;
|
||||
// WASM call: ruvector_hyperbolic_layer(input, weights, bias)
|
||||
return input;
|
||||
},
|
||||
sphericalLayer: (input, weights) => {
|
||||
stats.hyperbolicOperations++;
|
||||
// WASM call: ruvector_spherical_layer(input, weights)
|
||||
return input;
|
||||
},
|
||||
productManifoldLayer: (input, curvatures, weights) => {
|
||||
stats.hyperbolicOperations++;
|
||||
// WASM call: ruvector_product_manifold_layer(input, curvatures, weights)
|
||||
return input;
|
||||
},
|
||||
// Utility
|
||||
getStats: () => ({ ...stats }),
|
||||
configure: (newConfig) => {
|
||||
Object.assign(defaultConfig, newConfig);
|
||||
},
|
||||
};
|
||||
}
|
||||
/**
|
||||
* Create quantum circuit builder
|
||||
* @param numQubits Number of qubits
|
||||
* @returns Circuit builder
|
||||
*/
|
||||
function createCircuitBuilder(numQubits) {
|
||||
const gates = [];
|
||||
return {
|
||||
h: (qubit) => gates.push({ type: 'H', targets: [qubit] }),
|
||||
x: (qubit) => gates.push({ type: 'X', targets: [qubit] }),
|
||||
cnot: (control, target) => gates.push({ type: 'CNOT', targets: [control, target] }),
|
||||
rx: (qubit, angle) => gates.push({ type: 'RX', targets: [qubit], parameter: angle }),
|
||||
ry: (qubit, angle) => gates.push({ type: 'RY', targets: [qubit], parameter: angle }),
|
||||
rz: (qubit, angle) => gates.push({ type: 'RZ', targets: [qubit], parameter: angle }),
|
||||
build: () => ({ numQubits, gates }),
|
||||
};
|
||||
}
|
||||
/**
|
||||
* Utility: Project from Euclidean to Poincare ball
|
||||
* @param x Euclidean coordinates
|
||||
* @param c Curvature parameter
|
||||
*/
|
||||
function projectToPoincare(x, c = 1) {
|
||||
const normSq = x.reduce((sum, v) => sum + v * v, 0);
|
||||
const maxNorm = (1 - 1e-5) / Math.sqrt(c);
|
||||
if (normSq > maxNorm * maxNorm) {
|
||||
const scale = maxNorm / Math.sqrt(normSq);
|
||||
return new Float32Array(x.map(v => v * scale));
|
||||
}
|
||||
return x;
|
||||
}
|
||||
/**
|
||||
* Utility: Project from Poincare to Lorentz model
|
||||
* @param x Poincare coordinates
|
||||
* @param c Curvature parameter
|
||||
*/
|
||||
function poincareToLorentz(x, c = 1) {
|
||||
const normSq = x.reduce((sum, v) => sum + v * v, 0);
|
||||
const denom = 1 - c * normSq;
|
||||
const result = new Float32Array(x.length + 1);
|
||||
result[0] = (1 + c * normSq) / denom; // Time component
|
||||
for (let i = 0; i < x.length; i++) {
|
||||
result[i + 1] = 2 * Math.sqrt(c) * x[i] / denom;
|
||||
}
|
||||
return result;
|
||||
}
|
||||
//# sourceMappingURL=exotic.js.map
|
||||
Reference in New Issue
Block a user