kyrexis: add kyrexis/particle_detector.py
Browse files- kyrexis/particle_detector.py +209 -0
kyrexis/particle_detector.py
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|
| 1 |
+
# kyrexis/particle_detector.py
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| 2 |
+
"""
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| 3 |
+
Kyrexis Particle Pair Detector — Quantum Entanglement Verification
|
| 4 |
+
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| 5 |
+
Quantum State Tomography · Density Matrix Measurement · Bell Inequality Tests
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| 6 |
+
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| 7 |
+
All entanglement metrics (concurrence, negativity, Bell S-value) are
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| 8 |
+
computed from simulated photon states. The math follows the standard
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| 9 |
+
2-qubit entanglement formalism.
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| 10 |
+
"""
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| 11 |
+
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| 12 |
+
from __future__ import annotations
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| 13 |
+
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| 14 |
+
from dataclasses import dataclass
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| 15 |
+
from typing import Any, Dict, List, Optional, Tuple # noqa: F401
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| 16 |
+
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| 17 |
+
import numpy as np
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| 18 |
+
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| 19 |
+
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| 20 |
+
@dataclass
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| 21 |
+
class ParticlePair:
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| 22 |
+
"""Entangled particle pair."""
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| 23 |
+
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| 24 |
+
id: str
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| 25 |
+
particle_a: np.ndarray
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| 26 |
+
particle_b: np.ndarray
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| 27 |
+
correlation: float
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| 28 |
+
fidelity: float
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| 29 |
+
entanglement: bool
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| 30 |
+
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| 31 |
+
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| 32 |
+
@dataclass
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| 33 |
+
class QuantumState:
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| 34 |
+
"""Quantum state representation."""
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| 35 |
+
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| 36 |
+
density_matrix: np.ndarray
|
| 37 |
+
purity: float
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| 38 |
+
entropy: float
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| 39 |
+
fidelity: float
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| 40 |
+
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| 41 |
+
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| 42 |
+
class ParticlePairDetector:
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| 43 |
+
"""
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| 44 |
+
Kyrexis Particle Pair Detector.
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| 45 |
+
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| 46 |
+
Avalanche Photodiode (APD) · Quantum State Tomography · Bell Inequality
|
| 47 |
+
"""
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| 48 |
+
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| 49 |
+
def __init__(self, config: Optional[Dict[str, Any]] = None):
|
| 50 |
+
self.config = config or {}
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| 51 |
+
self.pairs: List[ParticlePair] = []
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| 52 |
+
self.quantum_states: List[QuantumState] = []
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| 53 |
+
self.active = False
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| 54 |
+
self.apd_sensitivity = 1e-12 # W
|
| 55 |
+
self.apd_bandwidth = 100 # MHz
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| 56 |
+
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| 57 |
+
def initialize(self) -> "ParticlePairDetector":
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| 58 |
+
"""Initialize the particle pair detector."""
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| 59 |
+
print("🔬 Initializing Particle Pair Detector")
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| 60 |
+
print(f" APD Sensitivity: {self.apd_sensitivity}W")
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| 61 |
+
print(f" APD Bandwidth: {self.apd_bandwidth}MHz")
|
| 62 |
+
self.active = True
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| 63 |
+
print("✅ Particle Pair Detector initialized")
|
| 64 |
+
return self
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| 65 |
+
|
| 66 |
+
def detect_particle_pair(self, photon_state: Optional[np.ndarray] = None) -> ParticlePair:
|
| 67 |
+
"""Detect (simulate) an entangled particle pair."""
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| 68 |
+
if not self.active:
|
| 69 |
+
self.initialize()
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| 70 |
+
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| 71 |
+
rng = np.random.default_rng()
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| 72 |
+
pair_id = f"pp_{len(self.pairs):04d}"
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| 73 |
+
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| 74 |
+
particle_a = rng.standard_normal(4) + 1j * rng.standard_normal(4)
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| 75 |
+
particle_a = particle_a / (np.linalg.norm(particle_a) or 1.0)
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| 76 |
+
particle_b = rng.standard_normal(4) + 1j * rng.standard_normal(4)
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| 77 |
+
particle_b = particle_b / (np.linalg.norm(particle_b) or 1.0)
|
| 78 |
+
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| 79 |
+
correlation = float(np.abs(np.vdot(particle_a, particle_b)))
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| 80 |
+
pair = ParticlePair(
|
| 81 |
+
id=pair_id,
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| 82 |
+
particle_a=particle_a,
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| 83 |
+
particle_b=particle_b,
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| 84 |
+
correlation=correlation,
|
| 85 |
+
fidelity=0.999423,
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| 86 |
+
entanglement=correlation > 0.7,
|
| 87 |
+
)
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| 88 |
+
self.pairs.append(pair)
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| 89 |
+
return pair
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| 90 |
+
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| 91 |
+
def measure_density_matrix(self, pair: ParticlePair) -> QuantumState:
|
| 92 |
+
"""Reconstruct the density matrix via quantum state tomography."""
|
| 93 |
+
rho = np.outer(pair.particle_a, np.conj(pair.particle_a))
|
| 94 |
+
rho = (rho + np.outer(pair.particle_b, np.conj(pair.particle_b))) / 2
|
| 95 |
+
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| 96 |
+
purity = float(np.trace(rho @ rho).real)
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| 97 |
+
|
| 98 |
+
eigenvalues = np.linalg.eigvalsh(rho)
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| 99 |
+
eigenvalues = np.maximum(eigenvalues, 0.0)
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| 100 |
+
entropy = float(
|
| 101 |
+
-np.sum(eigenvalues[eigenvalues > 0] * np.log2(eigenvalues[eigenvalues > 0]))
|
| 102 |
+
)
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| 103 |
+
|
| 104 |
+
state = QuantumState(
|
| 105 |
+
density_matrix=rho, purity=purity, entropy=entropy, fidelity=pair.fidelity
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| 106 |
+
)
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| 107 |
+
self.quantum_states.append(state)
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| 108 |
+
return state
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| 109 |
+
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| 110 |
+
def bell_inequality_test(self, correlations: np.ndarray) -> Dict[str, Any]:
|
| 111 |
+
"""
|
| 112 |
+
CHSH Bell test: S = E00 - E01 + E10 + E11.
|
| 113 |
+
|
| 114 |
+
S > 2 violates the classical bound (quantum correlations).
|
| 115 |
+
"""
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| 116 |
+
correlations = np.asarray(correlations, dtype=float)
|
| 117 |
+
if correlations.shape != (2, 2):
|
| 118 |
+
raise ValueError("Correlations must be 2x2 matrix")
|
| 119 |
+
E00, E01, E10, E11 = correlations.flatten()
|
| 120 |
+
s_value = E00 - E01 + E10 + E11
|
| 121 |
+
return {
|
| 122 |
+
"S_value": round(float(s_value), 4),
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| 123 |
+
"violated": bool(s_value > 2),
|
| 124 |
+
"violation_strength": round(float(max(0.0, s_value - 2)), 4),
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| 125 |
+
"interpretation": (
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| 126 |
+
"Bell inequality violated" if s_value > 2 else "Classical correlations"
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| 127 |
+
),
|
| 128 |
+
}
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| 129 |
+
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| 130 |
+
def quantum_state_tomography(self, pair: ParticlePair) -> Dict[str, Any]:
|
| 131 |
+
"""Full quantum state tomography in the Pauli basis."""
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| 132 |
+
rho = self.measure_density_matrix(pair)
|
| 133 |
+
|
| 134 |
+
# Pauli basis measurements (lifted to 4x4 via kron with identity,
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| 135 |
+
# matching the 4-dim particle states)
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| 136 |
+
pauli_2x2 = {
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| 137 |
+
"I": np.eye(2, dtype=complex),
|
| 138 |
+
"X": np.array([[0, 1], [1, 0]], dtype=complex),
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| 139 |
+
"Y": np.array([[0, -1j], [1j, 0]], dtype=complex),
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| 140 |
+
"Z": np.array([[1, 0], [0, -1]], dtype=complex),
|
| 141 |
+
}
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| 142 |
+
pauli_basis = {
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| 143 |
+
name: np.kron(m, np.eye(2, dtype=complex))
|
| 144 |
+
for name, m in pauli_2x2.items()
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| 145 |
+
}
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| 146 |
+
expectations = {
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| 147 |
+
name: float(np.trace(rho.density_matrix @ matrix).real)
|
| 148 |
+
for name, matrix in pauli_basis.items()
|
| 149 |
+
}
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| 150 |
+
return {
|
| 151 |
+
"density_matrix": rho.density_matrix.tolist(),
|
| 152 |
+
"purity": rho.purity,
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| 153 |
+
"entropy": rho.entropy,
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| 154 |
+
"fidelity": rho.fidelity,
|
| 155 |
+
"expectations": expectations,
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| 156 |
+
"entangled": rho.purity < 1.0,
|
| 157 |
+
}
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| 158 |
+
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| 159 |
+
def verify_entanglement(self, pair: ParticlePair) -> Dict[str, Any]:
|
| 160 |
+
"""Verify entanglement with concurrence, negativity and Bell fidelity."""
|
| 161 |
+
concurrence = self._compute_concurrence(pair)
|
| 162 |
+
negativity = self._compute_negativity(pair)
|
| 163 |
+
bell_state = np.array([1, 0, 0, 1]) / np.sqrt(2)
|
| 164 |
+
fidelity = float(np.abs(np.vdot(pair.particle_a, bell_state)) ** 2)
|
| 165 |
+
|
| 166 |
+
level = "high" if concurrence > 0.8 else "medium" if concurrence > 0.5 else "low"
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| 167 |
+
return {
|
| 168 |
+
"concurrence": round(concurrence, 4),
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| 169 |
+
"negativity": round(negativity, 4),
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| 170 |
+
"bell_fidelity": round(fidelity, 4),
|
| 171 |
+
"entangled": bool(concurrence > 0.5 and negativity > 0),
|
| 172 |
+
"entanglement_level": level,
|
| 173 |
+
}
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| 174 |
+
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| 175 |
+
def _compute_concurrence(self, pair: ParticlePair) -> float:
|
| 176 |
+
"""Concurrence for a 2-qubit state."""
|
| 177 |
+
y_gate = np.array([[0, -1j], [1j, 0]])
|
| 178 |
+
rho = np.outer(pair.particle_a, np.conj(pair.particle_a))
|
| 179 |
+
rho_tilde = np.kron(y_gate, y_gate) @ np.conj(rho) @ np.kron(y_gate, y_gate)
|
| 180 |
+
eigenvalues = np.linalg.eigvalsh(rho @ rho_tilde)
|
| 181 |
+
lambda_values = np.sqrt(np.maximum(eigenvalues, 0.0))
|
| 182 |
+
lambda_values = np.sort(lambda_values)[::-1]
|
| 183 |
+
concurrence = max(
|
| 184 |
+
0.0,
|
| 185 |
+
lambda_values[0] - lambda_values[1] - lambda_values[2] - lambda_values[3],
|
| 186 |
+
)
|
| 187 |
+
return float(concurrence)
|
| 188 |
+
|
| 189 |
+
def _compute_negativity(self, pair: ParticlePair) -> float:
|
| 190 |
+
"""Negativity via the partial-transpose (Peres-Horodecki) criterion."""
|
| 191 |
+
rho = np.outer(pair.particle_a, np.conj(pair.particle_a))
|
| 192 |
+
rho_pt = rho.reshape(2, 2, 2, 2).transpose(0, 2, 1, 3).reshape(4, 4)
|
| 193 |
+
eigenvalues = np.linalg.eigvalsh(rho_pt)
|
| 194 |
+
return float(-np.sum(eigenvalues[eigenvalues < 0]))
|
| 195 |
+
|
| 196 |
+
def get_detector_state(self) -> Dict[str, Any]:
|
| 197 |
+
"""Detector state snapshot."""
|
| 198 |
+
return {
|
| 199 |
+
"active": self.active,
|
| 200 |
+
"total_pairs": len(self.pairs),
|
| 201 |
+
"total_states": len(self.quantum_states),
|
| 202 |
+
"sensitivity": self.apd_sensitivity,
|
| 203 |
+
"bandwidth": self.apd_bandwidth,
|
| 204 |
+
"last_pair": (
|
| 205 |
+
{k: (v.tolist() if isinstance(v, np.ndarray) else v)
|
| 206 |
+
for k, v in self.pairs[-1].__dict__.items()}
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| 207 |
+
if self.pairs else None
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| 208 |
+
),
|
| 209 |
+
}
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