{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'\\nFor 2×2 and 2×3 systems, the Positive Partial Transpose (PPT) criterion is necessary and sufficient for separability.\\n\\nExercises:\\n- Extend to a 2×3 example by padding qubits or adding a qutrit toy model with dims=(2,3).\\n- Wrap into a helper function `is_entangled_ppt(rho, dims)`.\\n'" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\"\"\"\n", "For 2×2 and 2×3 systems, the Positive Partial Transpose (PPT) criterion is necessary and sufficient for separability.\n", "\n", "Exercises:\n", "- Extend to a 2×3 example by padding qubits or adding a qutrit toy model with dims=(2,3).\n", "- Wrap into a helper function `is_entangled_ppt(rho, dims)`.\n", "\"\"\"" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "p=1.0 min eig(ρ^T_B)=-5.000000e-01 ENTANGLED\n", "p=0.8 min eig(ρ^T_B)=-3.500000e-01 ENTANGLED\n", "p=0.6 min eig(ρ^T_B)=-2.000000e-01 ENTANGLED\n", "p=0.4 min eig(ρ^T_B)=-5.000000e-02 ENTANGLED\n" ] } ], "source": [ "import numpy as np\n", "from qiskit.quantum_info import Statevector, DensityMatrix\n", "\n", "phi = Statevector([1,0,0,1])/np.sqrt(2)\n", "rho_pure = DensityMatrix(phi).data\n", "I4 = np.eye(4)/4\n", "\n", "def isotropic(p):\n", " # |Φ+> density matrix with simple depolarizing noise when p<1\n", " return p*rho_pure + (1-p)*I4\n", "\n", "for p in [1.0, 0.8, 0.6, 0.4]:\n", " rho = isotropic(p)\n", " rho_pt = DensityMatrix.partial_transpose(DensityMatrix(rho), [1]).data\n", " eig = np.linalg.eigvalsh(rho_pt)\n", " print(f\"p={p} min eig(ρ^T_B)={eig.min(): .6e} {'ENTANGLED' if eig.min()< -1e-10 else 'PPT'}\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.8" } }, "nbformat": 4, "nbformat_minor": 2 }