Some minor fixes

Author: dkoytrom

README.md

@@ -1,3 +1,7 @@
+# Control of Qubit Dynamics Using Reinforcement Learning
+Code implemented for the purposes of the paper Control of Qubit Dynamics Using Reinforcement Learning
+Citation: D. Koutromanos, D. Stefanatos, and E. Paspalakis, “Control of qubit dynamics using reinforcement learning,” Information, vol. 15, no. 5, 2024.
+
 # Virtual environment with python 3.11
 python3.11 -m  venv qubit_control_venv
 

temporal_difference/dqn_qubit_cont_state_e-4_error.ipynb

@@ -385,7 +385,7 @@
     "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)\n",
     "fig.set_figheight(8)\n",
     "fig.set_figwidth(12)\n",
-    "fig.suptitle(f'DQN {nb_iterations} iterations - Discete action and state space - Fidelity > 0.9999')\n",
+    "fig.suptitle(f'DQN {nb_iterations} iterations - Discrete action and state space - Fidelity > 0.9999')\n",
     "\n",
     "ax1.step(time_span, optimal_omegas, where = 'post')\n",
     "ax1.set_ylabel(r\"$\\frac{\\Omega}{\\Omega_{max}}$\", rotation = 0, fontsize = 12)\n",