@astermind/astermind-premium
Version:
Astermind Premium - Premium ML Toolkit
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JavaScript
// quantum-inspired-elm.ts — Quantum-Inspired ELM
// Quantum computing principles for feature maps and optimization
import { ELM } from '@astermind/astermind-elm';
import { requireLicense } from '../core/license.js';
/**
* Quantum-Inspired ELM
* Features:
* - Quantum feature maps
* - Quantum superposition
* - Quantum entanglement
* - Quantum kernel methods
*/
export class QuantumInspiredELM {
constructor(options) {
this.trained = false;
this.quantumStates = [];
requireLicense(); // Premium feature - requires valid license
this.categories = options.categories;
this.options = {
categories: options.categories,
hiddenUnits: options.hiddenUnits ?? 256,
quantumLayers: options.quantumLayers ?? 2,
entanglement: options.entanglement ?? true,
superposition: options.superposition ?? true,
activation: options.activation ?? 'relu',
maxLen: options.maxLen ?? 100,
useTokenizer: options.useTokenizer ?? true,
};
this.elm = new ELM({
useTokenizer: this.options.useTokenizer ? true : undefined,
hiddenUnits: this.options.hiddenUnits,
categories: this.options.categories,
maxLen: this.options.maxLen,
activation: this.options.activation,
});
}
/**
* Train with quantum-inspired features
*/
train(X, y) {
// Prepare labels
const labelIndices = y.map(label => typeof label === 'number'
? label
: this.options.categories.indexOf(label));
// Apply quantum feature maps
const quantumFeatures = this._applyQuantumFeatureMap(X);
// Train ELM
this.elm.setCategories?.(this.options.categories);
this.elm.trainFromData?.(quantumFeatures, labelIndices);
this.trained = true;
}
/**
* Apply quantum feature map
*/
_applyQuantumFeatureMap(X) {
const features = [];
for (const x of X) {
let quantumState = this._encodeToQuantumState(x);
// Apply quantum layers
for (let layer = 0; layer < this.options.quantumLayers; layer++) {
quantumState = this._applyQuantumLayer(quantumState, layer);
}
// Measure quantum state (convert to classical features)
const measured = this._measureQuantumState(quantumState);
features.push(measured);
}
return features;
}
/**
* Encode classical data to quantum state
*/
_encodeToQuantumState(x) {
// Quantum state encoding (amplitude encoding)
const state = new Array(Math.pow(2, Math.ceil(Math.log2(x.length)))).fill(0);
// Normalize input
const norm = Math.sqrt(x.reduce((sum, v) => sum + v * v, 0));
if (norm > 0) {
for (let i = 0; i < x.length; i++) {
state[i] = x[i] / norm;
}
}
return state;
}
/**
* Apply quantum layer (quantum gates simulation)
*/
_applyQuantumLayer(state, layer) {
let newState = [...state];
// Apply quantum gates (simplified simulation)
if (this.options.superposition) {
// Hadamard-like transformation (superposition)
newState = this._applySuperposition(newState);
}
if (this.options.entanglement) {
// Entanglement (CNOT-like)
newState = this._applyEntanglement(newState);
}
// Rotation gates
newState = this._applyRotation(newState, layer);
return newState;
}
/**
* Apply superposition (Hadamard-like)
*/
_applySuperposition(state) {
const newState = new Array(state.length).fill(0);
const factor = 1 / Math.sqrt(2);
for (let i = 0; i < state.length; i++) {
for (let j = 0; j < state.length; j++) {
// Simplified Hadamard transformation
const phase = (i === j) ? factor : factor * Math.cos(Math.PI * i * j / state.length);
newState[i] += state[j] * phase;
}
}
return newState;
}
/**
* Apply entanglement (CNOT-like)
*/
_applyEntanglement(state) {
const newState = [...state];
// Entangle pairs of qubits
for (let i = 0; i < state.length - 1; i += 2) {
const temp = newState[i];
newState[i] = newState[i + 1];
newState[i + 1] = temp;
}
return newState;
}
/**
* Apply rotation gates
*/
_applyRotation(state, layer) {
const newState = new Array(state.length).fill(0);
const angle = Math.PI / (2 * (layer + 1));
for (let i = 0; i < state.length; i++) {
const cos = Math.cos(angle);
const sin = Math.sin(angle);
newState[i] = state[i] * cos - state[(i + 1) % state.length] * sin;
}
return newState;
}
/**
* Measure quantum state (convert to classical)
*/
_measureQuantumState(state) {
// Measure by computing probabilities (amplitudes squared)
const probabilities = state.map(amp => amp * amp);
// Project to hidden units dimension
const hiddenDim = this.options.hiddenUnits;
const features = new Array(hiddenDim).fill(0);
for (let i = 0; i < hiddenDim; i++) {
const idx = i % probabilities.length;
features[i] = probabilities[idx];
}
return features;
}
/**
* Predict with quantum-inspired model
*/
predict(X, topK = 3) {
if (!this.trained) {
throw new Error('Model must be trained before prediction');
}
const XArray = Array.isArray(X[0]) ? X : [X];
const results = [];
for (const x of XArray) {
// Apply quantum feature map
const quantumFeatures = this._applyQuantumFeatureMap([x])[0];
// Predict
const preds = this.elm.predictFromVector?.([quantumFeatures], topK) || [];
// Get quantum state for this input
let quantumState = this._encodeToQuantumState(x);
for (let layer = 0; layer < this.options.quantumLayers; layer++) {
quantumState = this._applyQuantumLayer(quantumState, layer);
}
const amplitude = Math.sqrt(quantumState.reduce((sum, v) => sum + v * v, 0));
for (const pred of preds.slice(0, topK)) {
results.push({
label: pred.label || this.options.categories[pred.index || 0],
prob: pred.prob || 0,
quantumState: [...quantumState],
amplitude,
});
}
}
return results;
}
}
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