<?php
/*
dobu {
file:id(`SEC010301`),name(`quantum-ai-jml-visualizer`) {
ascoos {
logo {`
__ _ ___ ___ ___ ___ ___ ___ ___
/ _` |/ / / __/ _ \ / _ \ / / / _ \ / /
| (_| |\ \| (_| (_) | (_) |\ \ | (_) |\ \
\__,_|/__/ \___\___/ \___/ /__/ \___/ /__/
`},
name {`ASCOOS OS`},
version {`1.0.0`},
},
example {
case-study {`quantum-ai-jml-visualizer`},
source {`quantum_ai_jml_visualizer.php`},
category:langs {
en {`Quantum and AI`},
el {`???????? ??? AI`}
},
desc:langs {
en {`Visualization of Quantum Decoherence and AI Decision through JML.`},
el {`???????????? ????????? ?????????? ??? AI ???????? ???? JML.`}
},
author {`Drogidis Christos`},
sincePHP {`8.4.0`}
}
}
}
*/
declare(strict_types=1);
use ASCOOS\OS\Kernel\{
Science\Physics\Quantum\TQuantumEverettSimulator,
Science\Physics\Quantum\TQuantumHandler,
AI\NeuralNet\TNeuralNetworkHandler,
Statistics\Analysis\TStatisticAnalysisHandler,
HTML\THTML
};
// --- [ 1. QUANTUM & AI LOGIC ] ---
$quantum = new TQuantumEverettSimulator();
$math = new TQuantumHandler();
$ai = new TNeuralNetworkHandler();
$html = new THTML();
// Bell State |?+> & Decoherence (???? ????)
$bellState = $quantum->normalize([[0.707, 0.0], [0.0, 0.0], [0.0, 0.0], [0.707, 0.0]]);
$lambda = 0.75;
$D = [[[1.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [$lambda, 0.0]]];
$I = [[[1.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [1.0, 0.0]]];
$U = $math->tensor($I, $D);
$noisyState = $quantum->normalize($quantum->applyUnitary($U, $bellState));
// Measurements
$branchesZ = $quantum->measureQubit($noisyState, 0, 2);
$objStat = new TStatisticAnalysisHandler([$branchesZ[0]['probability'], $branchesZ[1]['probability']]);
$driftFactor = $objStat->variance();
// Free TStatisticAnalysisHandler, TQuantumEverettSimulator, TQuantumHandler
$objStat->Free();
$quantum->Free();
$math->Free();
// AI Prediction
$ai->compile([['input' => 1, 'output' => 4, 'activation' => 'relu'], ['input' => 4, 'output' => 1, 'activation' => 'sigmoid']]);
$ai->fit([[$driftFactor]], [[($driftFactor > 0.2 ? 1 : 0)]], epochs: 100);
$prediction = $ai->predictNetwork([[$driftFactor]])[0];
$statusColor = $prediction > 0.5 ? "#ff4d4d" : "#4dff88";
$statusText = $prediction > 0.5 ? "DANGER: HIGH DRIFT" : "SYSTEM STABLE";
// --- [ 2. JML PRESENTATION ] ---
$jmlString = <<<JML
div:class('quantum-dashboard'),style('font-family:sans-serif; padding:20px; background:#1a1a1a; color:#eee; border-radius:10px;') {
h1 {`Ascoos Web 5.0 Quantum Monitor`}
div:class('status-bar'),style('padding:15px; margin-bottom:20px; border-radius:5px; background:{$statusColor}; color:#000; font-weight:bold; text-align:center;') {
`STATUS: {$statusText}`
}
div:class('metrics-grid'),style('display:grid; grid-template-columns:1fr 1fr; gap:20px;') {
div:class('metric-card'),style('background:#2a2a2a; padding:15px; border-left:4px solid #00d4ff;') {
h3 {`Quantum Drift Factor`}
p:style('font-size:24px; margin:10px 0;') {`{$driftFactor}`}
small {`Based on Bell State Decoherence (?={$lambda})`}
}
div:class('metric-card'),style('background:#2a2a2a; padding:15px; border-left:4px solid #cc00ff;') {
h3 {`AI Confidence Score`}
p:style('font-size:24px; margin:10px 0;') {`{$prediction}`}
small {`Neural Network Instability Prediction`}
}
}
div:class('raw-data'),style('margin-top:20px; font-family:monospace; background:#000; padding:10px; font-size:12px;') {
h4 {`Measurement Probabilities (Z-Basis)`}
ul {
li {`State |0>: ` b {`{$branchesZ[0]['probability']}`}}
li {`State |1>: ` b {`{$branchesZ[1]['probability']}`}}
}
}
div:class('footer'),style('margin-top:30px; text-align:right; font-size:10px; color:#666;') {
`Generated by Ascoos OS Kernel v1.0.0 - No Dependencies - Native Execution`
}
}
JML;
// Render JML to HTML
echo $html->fromJMLString($jmlString);
// Cleanup
$ai->Free();
$html->Free();
?>
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