Update tutorial_adaptive_circuits.py (#935)

Fix dimensional issue in `adaptive_cirucits` Fix issue with complex coeffs in `tapering_demo` (provisional fix)
PennyLaneAI · Sep 21, 2023 · 95a1af8 · 95a1af8
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diff --git a/demonstrations/tutorial_adaptive_circuits.py b/demonstrations/tutorial_adaptive_circuits.py
@@ -346,7 +346,7 @@ def circuit(params):
     t1 = time.time()
     params, energy = opt.step_and_cost(circuit, params)
     t2 = time.time()
-    print("n = {:},  E = {:.8f} H, t = {:.2f} s".format(n, energy[0], t2 - t1))
+    print("n = {:},  E = {:.8f} H, t = {:.2f} s".format(n, energy, t2 - t1))
 
 ##############################################################################
 # Using the sparse method reproduces the ground state energy while the optimization time is

diff --git a/demonstrations/tutorial_qubit_tapering.py b/demonstrations/tutorial_qubit_tapering.py
@@ -167,6 +167,7 @@
 # eigenvalues.
 
 H_tapered = qml.taper(H, generators, paulixops, paulix_sector)
+H_tapered = qml.Hamiltonian(np.real(H_tapered.coeffs), H_tapered.ops)
 print(H_tapered)
 
 ##############################################################################