From 95a1af8e54ad5245807a947ccf2874a38b37953e Mon Sep 17 00:00:00 2001
From: Guillermo Alonso-Linaje <65235481+KetpuntoG@users.noreply.github.com>
Date: Thu, 21 Sep 2023 17:02:45 -0400
Subject: [PATCH] Update tutorial_adaptive_circuits.py (#935)

Fix dimensional issue in `adaptive_cirucits`
Fix issue with complex coeffs in `tapering_demo` (provisional fix)
---
 demonstrations/tutorial_adaptive_circuits.py | 2 +-
 demonstrations/tutorial_qubit_tapering.py    | 1 +
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/demonstrations/tutorial_adaptive_circuits.py b/demonstrations/tutorial_adaptive_circuits.py
index cd175fb567..df0ee60189 100644
--- 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
index 5a77fe3458..d75771ab06 100644
--- 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)
 
 ##############################################################################