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Leander Reascos
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Optimize calculations for W by impossing [W,E]=0
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‎README.md‎

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- [Schrieffer-Wolff Transformation (SWT)](#schrieffer-wolff-transformation-swt)
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- [Full-Diagonalization (FD)](#full-diagonalization-fd)
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- [Arbitrary Coupling Elimination (ACE)](#arbitrary-coupling-elimination-ace)
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- [Least-Action Multi-Block Transformations](#least-action-multi-block-transformations)
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7. [Advanced Tools](#advanced-tools)
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8. [Contributing](#contributing)
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9. [License](#license)

‎examples/C1_Quantum_rabi_model.ipynb‎

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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Converting to operator form: 100%|███████████████| 3/3 [00:00<00:00, 226.93it/s]\n"
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"Converting to operator form: 100%|██████████| 3/3 [00:00<00:00, 212.57it/s]\n"
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]
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},
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"display_name": "sympt",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.1"
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"version": "3.11.11"
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}
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},
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"nbformat": 4,

‎examples/C2_Quantum_rabi_TD.ipynb‎

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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Computing the effective Hamiltonian: 100%|████████| 2/2 [00:00<00:00, 10.10it/s]\n",
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"Computing the effective Hamiltonian: 100%|██████████| 2/2 [00:00<00:00, 10.43it/s]\n",
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"\u001b[32mThe Hamiltonian has been solved successfully. Please use the get_H method to get the result in the desired form.\u001b[0m\n",
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"Converting to operator form: 100%|████████████████| 2/2 [00:00<00:00, 42.23it/s]\n"
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"Converting to operator form: 100%|██████████| 2/2 [00:00<00:00, 37.09it/s]\n"
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},
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Rotating the expression: 100%|███████████████████| 2/2 [00:00<00:00, 293.80it/s]\n",
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"Converting to operator form: 100%|███████████████| 3/3 [00:00<00:00, 204.67it/s]\n"
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"Rotating the expression: 100%|██████████| 2/2 [00:00<00:00, 297.06it/s]\n",
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"Converting to operator form: 100%|██████████| 3/3 [00:00<00:00, 175.88it/s]\n"
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]
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},
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Computing the effective Hamiltonian: 100%|████████| 2/2 [00:00<00:00, 9.70it/s]\n",
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"Computing the effective Hamiltonian: 100%|██████████| 2/2 [00:00<00:00, 8.27it/s]\n",
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"\u001b[32mThe Hamiltonian has been solved successfully. Please use the get_H method to get the result in the desired form.\u001b[0m\n",
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"Converting to operator form: 100%|████████████████| 2/2 [00:00<00:00, 6.79it/s]\n"
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"Converting to operator form: 100%|██████████| 2/2 [00:00<00:00, 5.81it/s]\n"
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]
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}
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],
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"display_name": "sympt",
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"language": "python",
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"name": "python3"
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.1"
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"version": "3.11.11"
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}
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},
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"nbformat": 4,

‎examples/C3_EDSR.ipynb‎

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"name": "stderr",
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"text": [
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"Computing the effective Hamiltonian: 100%|████████| 5/5 [00:16<00:00, 3.37s/it]\n",
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"Computing the effective Hamiltonian: 100%|██████████| 5/5 [00:07<00:00, 1.54s/it]\n",
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"\u001b[32mThe Hamiltonian has been solved successfully. Please use the get_H method to get the result in the desired form.\u001b[0m\n",
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"Converting to matrix form: 100%|██████████████████| 6/6 [00:00<00:00, 57.79it/s]\n"
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"Converting to matrix form: 100%|██████████| 6/6 [00:00<00:00, 58.80it/s]\n"
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"metadata": {
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"display_name": "sympt",
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"language": "python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.1"
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"version": "3.11.11"
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"nbformat": 4,

‎examples/C4_ParametricLightInteraction.ipynb‎

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{
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"2*|{g_p}|**2*(omega_p**2 + omega_+*omega_-)*(omega_+ - omega_-)*cos(omega_p*t + phi_p)**2/((-omega_p + omega_+)*(-omega_p + omega_-)*(omega_p + omega_+)*(omega_p + omega_-))"
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"2*|{g_p}|**2*(omega_p**2 + omega_+*omega_-)*(omega_+ - omega_-)*cos(omega_p*t + phi_p)**2/((-omega_p + omega_+)*(-omega_p + omega_-)*(omega_p + omega_+)*(omega_p + omega_-))"
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"-4*|{g_p}|**2*(-omega_p**2 + omega_+*omega_-)*(omega_+ + omega_-)*cos(omega_p*t + phi_p)**2/((-omega_p + omega_+)*(-omega_p + omega_-)*(omega_p + omega_+)*(omega_p + omega_-))"
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"-2*|{g_p}|**2*(-omega_p**2 + omega_+*omega_-)*(omega_+ + omega_-)*(cos(2*omega_p*t + 2*phi_p) + 1)/((-omega_p + omega_+)*(-omega_p + omega_-)*(omega_p + omega_+)*(omega_p + omega_-))"
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"metadata": {},
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"-|{g_p}|**2*(omega_+ + omega_-)*(-omega_p**2*cos(2*omega_p*t + 2*phi_p) - omega_p**2 - I*omega_p*omega_+*sin(2*omega_p*t + 2*phi_p) + I*omega_p*omega_-*sin(2*omega_p*t + 2*phi_p) + omega_+*omega_-*cos(2*omega_p*t + 2*phi_p) + omega_+*omega_-)/((-omega_p + omega_+)*(-omega_p + omega_-)*(omega_p + omega_+)*(omega_p + omega_-))"
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"-|{g_p}|**2*(omega_+ + omega_-)*(-omega_p**2*cos(2*omega_p*t + 2*phi_p) - omega_p**2 - I*omega_p*omega_+*sin(2*omega_p*t + 2*phi_p) + I*omega_p*omega_-*sin(2*omega_p*t + 2*phi_p) + omega_+*omega_-*cos(2*omega_p*t + 2*phi_p) + omega_+*omega_-)/((-omega_p + omega_+)*(-omega_p + omega_-)*(omega_p + omega_+)*(omega_p + omega_-))"
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"metadata": {
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"kernelspec": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.1"
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"version": "3.11.11"
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}
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},
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"nbformat": 4,

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