fix: use comment-form thumbnail config and assign specific figures

mkdocs-gallery requires thumbnail_path as a comment directive
(# mkdocs_gallery_thumbnail_path = '...'), not a Python assignment.
Also assign relevant figures to each tutorial instead of generic logo.

Author: vprusso

docs/content/examples/basics/intro_tutorial.py

@@ -39,7 +39,7 @@
 
 from toqito.matrices import standard_basis
 
-mkdocs_gallery_thumbnail_path = 'figures/logo.png'
+# mkdocs_gallery_thumbnail_path = 'figures/alice_and_bob.svg'
 # |0>
 standard_basis(2)[0]
 

docs/content/examples/extended_nonlocal_games/bit_commitment.py

@@ -119,7 +119,7 @@
 q_val = bc_binding_game.commuting_measurement_value_upper_bound(k=1)
 
 print("Upper bound on the quantum value (Alice's cheating probability): ", np.around(q_val, decimals=5))
-mkdocs_gallery_thumbnail_path = 'figures/logo.png'
+# mkdocs_gallery_thumbnail_path = 'figures/nonlocal_game_quantum_strategy.svg'
 
 # %%
 # ## Interpreting the Result

docs/content/examples/extended_nonlocal_games/enlg_bb84.py

@@ -189,7 +189,7 @@
 # The non-signaling value of BB84 under parallel repetition.
 import numpy as np
 
-mkdocs_gallery_thumbnail_path = 'figures/logo.png'
+# mkdocs_gallery_thumbnail_path = 'figures/referee.svg'
 from toqito.nonlocal_games.extended_nonlocal_game import ExtendedNonlocalGame
 
 # Define the bb84 game for two parallel repetitions.

docs/content/examples/extended_nonlocal_games/enlg_chsh.py

@@ -141,7 +141,7 @@
 
 # The non-signaling value is 3/4 = 0.75
 print("The non-signaling value is ", np.around(chsh.nonsignaling_value(), decimals=2))
-mkdocs_gallery_thumbnail_path = 'figures/logo.png'
+# mkdocs_gallery_thumbnail_path = 'figures/alice_and_bob.svg'
 
 # %%
 # As we know that $\omega(G_{CHSH}) = \omega_{ns}(G_{CHSH}) = 3/4$ and that

docs/content/examples/extended_nonlocal_games/enlg_introduction.py

@@ -240,5 +240,5 @@
 # games and use `|toqito⟩` to calculate their various values.
 #
 # %%
-mkdocs_gallery_thumbnail_path = 'figures/extended_nonlocal_game.svg'
+# mkdocs_gallery_thumbnail_path = 'figures/extended_nonlocal_game.svg'
 # We will start by examining the BB84 extended nonlocal game in [The BB84 extended nonlocal game](../enlg_bb84)

docs/content/examples/extended_nonlocal_games/enlg_mub.py

@@ -123,7 +123,7 @@
 g_mub = ExtendedNonlocalGame(prob_mat, pred_mat)
 q_val = g_mub.quantum_value_lower_bound()
 print("The standard quantum value lower bound is ", np.around(q_val, decimals=2))
-mkdocs_gallery_thumbnail_path = 'figures/logo.png'
+# mkdocs_gallery_thumbnail_path = 'figures/measurement_inclusions.svg'
 
 # %%
 # Note that as we are calculating a lower bound, it is possible that a value this

docs/content/examples/nonlocal_games/nonlocal_game.py

@@ -443,7 +443,7 @@
 
 from toqito.nonlocal_games import NonlocalGame
 
-mkdocs_gallery_thumbnail_path = 'figures/nonlocal_game.svg'
+# mkdocs_gallery_thumbnail_path = 'figures/nonlocal_game.svg'
 # Define constraints c_1 and c_2.
 c_1 = np.zeros((2, 2))
 c_2 = np.zeros((2, 2))

docs/content/examples/nonlocal_games/xor_quantum_value.py

@@ -319,7 +319,7 @@
 odd_cycle = XORGame(prob_mat, pred_mat)
 print(f"The classical value of games is: {np.around(odd_cycle.classical_value(), decimals=2)}")
 print(f"The quantum value of games is: {np.around(odd_cycle.quantum_value(), decimals=2)}")
-mkdocs_gallery_thumbnail_path = 'figures/logo.png'
+# mkdocs_gallery_thumbnail_path = 'figures/nonlocal_game_quantum_strategy.svg'
 
 # %%
 # Note that the odd cycle game is another example of an XOR game where the

docs/content/examples/quantum_states/circulant_states.py

@@ -93,7 +93,7 @@
 print("\n------------------------------------------------------")
 print(f"Do the analytical and numerical results agree? {analytical_is_ad == numerical_is_ad}")
 print("------------------------------------------------------")
-mkdocs_gallery_thumbnail_path = 'figures/logo.png'
+# mkdocs_gallery_thumbnail_path = 'figures/logo.png'
 
 # %%
 # The results from both the analytical eigenvalue criterion and the numerical

docs/content/examples/quantum_states/classification.py

@@ -261,4 +261,4 @@ def povm_residual(states: list[np.ndarray], povm: dict[tuple[int, int], np.ndarr
 #
 result = factor_width(mat, k=2)
 print(result["feasible"])
-mkdocs_gallery_thumbnail_path = 'figures/classification_tetrahedron.png'
+# mkdocs_gallery_thumbnail_path = 'figures/classification_tetrahedron.png'