Add initial project structure with harmonic balancer implementation, …

…requirements, and demo interface
dxns-hub · Dec 4, 2024 · 4581113 · 4581113
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diff --git a/.gitignore b/.gitignore
@@ -133,10 +133,10 @@ cython_debug/
 snippitlib.md
 ethics.md
 docsnippitlib.md
-AMI.code-worckspace
+*.code-worckspace
 desktop.ini
 implimentation_list.md
 AMI.md
-AMI.code-workspace
-.gitHub/
+
+# Working Documents
 themathupgrade.txt
diff --git a/app.py b/app.py
@@ -0,0 +1,49 @@
+from flask import Flask, render_template, request, jsonify
+from src.harmonic_balancer import EnhancedHarmonicBalancer
+import numpy as np
+
+app = Flask(__name__)
+
+@app.route('/')
+def index():
+    return render_template('index.html')
+
+@app.route('/api/balance', methods=['POST'])
+def balance():
+    data = request.json
+    base_freq = data['baseFreq']
+    harmonic_level = data['harmonicLevel']
+
+    # Generate a sample signal
+    t = np.linspace(0, 1, 1000)
+    signal = np.sin(2 * np.pi * base_freq * t) + (harmonic_level / 100) * np.sin(2 * np.pi * 2 * base_freq * t)
+
+    # Process the signal
+    balancer = EnhancedHarmonicBalancer(base_freq, num_harmonics=5, application='power')
+    balanced_signal = balancer.balance_signal(signal, sample_rate=1000)
+
+    # Calculate THD before and after
+    thd_before = balancer.calculate_thd(signal, 1000)
+    thd_after = balancer.calculate_thd(balanced_signal, 1000)
+
+    # Prepare data for plotting
+    return jsonify({
+        'signals': [
+            {'x': t.tolist(), 'y': signal.tolist(), 'type': 'scatter', 'name': 'Original'},
+            {'x': t.tolist(), 'y': balanced_signal.tolist(), 'type': 'scatter', 'name': 'Balanced'}
+        ],
+        'layout': {'title': 'Signal Comparison'},
+        'spectrum': [
+            {'x': np.fft.fftfreq(1000, 1/1000)[:500].tolist(), 'y': np.abs(np.fft.fft(signal))[:500].tolist(), 'type': 'scatter', 'name': 'Original Spectrum'},
+            {'x': np.fft.fftfreq(1000, 1/1000)[:500].tolist(), 'y': np.abs(np.fft.fft(balanced_signal))[:500].tolist(), 'type': 'scatter', 'name': 'Balanced Spectrum'}
+        ],
+        'spectrumLayout': {'title': 'Frequency Spectrum'},
+        'metrics': {
+            'thdBefore': f"{thd_before:.2%}",
+            'thdAfter': f"{thd_after:.2%}",
+            'improvement': f"{(thd_before - thd_after) / thd_before:.2%}"
+        }
+    })
+
+if __name__ == '__main__':
+    app.run(debug=True)
diff --git a/css/style.css b/css/style.css
@@ -0,0 +1,66 @@
+body {
+    font-family: Arial, sans-serif;
+    margin: 0;
+    padding: 20px;
+    background-color: #f0f0f0;
+}
+
+.container {
+    max-width: 1200px;
+    margin: 0 auto;
+    background-color: white;
+    padding: 20px;
+    border-radius: 10px;
+    box-shadow: 0 0 10px rgba(0,0,0,0.1);
+}
+
+h1 {
+    text-align: center;
+    color: #333;
+}
+
+.control-panel {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-bottom: 20px;
+}
+
+.parameters {
+    display: flex;
+    gap: 20px;
+}
+
+.visualization {
+    display: flex;
+    gap: 20px;
+    margin-bottom: 20px;
+}
+
+#signalPlot, #spectrumPlot {
+    flex: 1;
+    height: 400px;
+}
+
+.metrics {
+    display: flex;
+    justify-content: space-around;
+}
+
+.metric-box {
+    text-align: center;
+    background-color: #f9f9f9;
+    padding: 10px;
+    border-radius: 5px;
+}
+
+.metric-box h3 {
+    margin: 0;
+    color: #666;
+}
+
+.metric-box span {
+    font-size: 24px;
+    font-weight: bold;
+    color: #333;
+}
diff --git a/index.html b/index.html
@@ -0,0 +1,41 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Harmonic Balancer Demo</title>
+    <link rel="stylesheet" href="{{ url_for('static', filename='css/style.css') }}">
+    <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
+</head>
+<body>
+    <div class="container">
+        <h1>Harmonic Balancer Demonstration</h1>
+        <div class="control-panel">
+            <button id="startDemo">Start Demo</button>
+            <div class="parameters">
+                <label>Base Frequency: <input type="number" id="baseFreq" value="60" min="1" max="400"></label>
+                <label>Harmonic Level: <input type="range" id="harmonicLevel" min="0" max="100" value="30"></label>
+            </div>
+        </div>
+        <div class="visualization">
+            <div id="signalPlot"></div>
+            <div id="spectrumPlot"></div>
+        </div>
+        <div class="metrics">
+            <div class="metric-box">
+                <h3>THD Before</h3>
+                <span id="thdBefore">0%</span>
+            </div>
+            <div class="metric-box">
+                <h3>THD After</h3>
+                <span id="thdAfter">0%</span>
+            </div>
+            <div class="metric-box">
+                <h3>Improvement</h3>
+                <span id="improvement">0%</span>
+            </div>
+        </div>
+    </div>
+    <script src="{{ url_for('static', filename='js/demo.js') }}"></script>
+</body>
+</html>
diff --git a/js/demo.js b/js/demo.js
@@ -0,0 +1,33 @@
+document.addEventListener('DOMContentLoaded', function() {
+    const startButton = document.getElementById('startDemo');
+    const baseFreqInput = document.getElementById('baseFreq');
+    const harmonicLevelInput = document.getElementById('harmonicLevel');
+
+    function updatePlots() {
+        fetch('/api/balance', {
+            method: 'POST',
+            headers: {
+                'Content-Type': 'application/json',
+            },
+            body: JSON.stringify({
+                baseFreq: parseFloat(baseFreqInput.value),
+                harmonicLevel: parseFloat(harmonicLevelInput.value)
+            }),
+        })
+        .then(response => response.json())
+        .then(data => {
+            // Update plots
+            Plotly.newPlot('signalPlot', data.signals, data.layout);
+            Plotly.newPlot('spectrumPlot', data.spectrum, data.spectrumLayout);
+
+            // Update metrics
+            document.getElementById('thdBefore').textContent = data.metrics.thdBefore;
+            document.getElementById('thdAfter').textContent = data.metrics.thdAfter;
+            document.getElementById('improvement').textContent = data.metrics.improvement;
+        });
+    }
+
+    startButton.addEventListener('click', updatePlots);
+    baseFreqInput.addEventListener('change', updatePlots);
+    harmonicLevelInput.addEventListener('input', updatePlots);
+});
diff --git a/requirements.txt b/requirements.txt
@@ -0,0 +1,3 @@
+numpy>=1.18.0
+scipy>=1.4.0
+matplotlib>=3.1.0
diff --git a/src/__init__.py b/src/__init__.py
@@ -0,0 +1 @@
+from .harmonic_balancer import EnhancedHarmonicBalancer
diff --git a/src/circuit.py b/src/circuit.py
@@ -0,0 +1,73 @@
+
+import numpy as np
+from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
+
+class QuantumResonanceCircuit:
+    def __init__(self, resonance_freq=4.40e9, coupling_strength=0.1):
+        self.resonance_freq = resonance_freq
+        self.coupling_strength = coupling_strength
+        self.num_qubits = 4
+
+    def initialize_state(self):
+        """Initialize the quantum state"""
+        return np.array([1.0] + [0.0] * (2**self.num_qubits - 1), dtype=complex)
+
+    def get_hamiltonian(self):
+        """Calculate the Hamiltonian of the system"""
+        dim = 2**self.num_qubits
+        H = np.zeros((dim, dim), dtype=complex)
+        # Add resonant coupling terms
+        for i in range(self.num_qubits-1):
+            H[i,i+1] = self.coupling_strength
+            H[i+1,i] = self.coupling_strength
+        # Add energy terms
+        for i in range(dim):
+            H[i,i] = self.resonance_freq * bin(i).count('1')
+        return H
+
+    def evolve_state(self, state, time):
+        """Evolve the quantum state over time"""
+        H = self.get_hamiltonian()
+        U = np.exp(-1j * H * time)
+        return U @ state
+
+    def calculate_resonance_function(self, x, y):
+        """
+        Calculate the resonance function f(x,y) for a pair of qubits
+        """
+        return np.exp(-((x - y)**2) / (2 * self.coupling_strength))
+
+    def calculate_evolutionary_potential(self, x, y):
+        """
+        Calculate the evolutionary potential P(x,y) for a pair of qubits
+        """
+        resonance = self.calculate_resonance_function(x, y)
+        return resonance * np.exp(-1j * self.resonance_freq * (x + y))
+
+    def get_total_possibilities(self):
+        """
+        Calculate the total number of possibilities using the combined formula:
+        T = ∑(i=1 to n)∑(j=i+1 to n) f(x_i, y_j) · P(x_i, y_j)
+        """
+        total = 0
+        for i in range(self.num_qubits):
+            for j in range(i + 1, self.num_qubits):
+                f_xy = self.calculate_resonance_function(i, j)
+                p_xy = self.calculate_evolutionary_potential(i, j)
+                total += f_xy * np.abs(p_xy)
+        return total
+
+    def create_entangled_circuit(self):
+        """
+        Create a quantum circuit with entangled pairs
+        """
+        qr = QuantumRegister(self.num_qubits, 'q')
+        cr = ClassicalRegister(self.num_qubits, 'c')
+        qc = QuantumCircuit(qr, cr)
+
+        # Create entangled pairs
+        for i in range(0, self.num_qubits - 1, 2):
+            qc.h(qr[i])
+            qc.cx(qr[i], qr[i+1])
+
+        return qc
Original file line number	Diff line number	Diff line change
		@@ -0,0 +1 @@
		from .harmonic_balancer import EnhancedHarmonicBalancer