From 5c249cb72729c855ff6d74e5b886b2aea9f3ce23 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Fri, 23 May 2025 22:54:46 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 src/qibotn/backends/quimb.py | 15 +++++++++++----
 1 file changed, 11 insertions(+), 4 deletions(-)

diff --git a/src/qibotn/backends/quimb.py b/src/qibotn/backends/quimb.py
index 8ce49ce..b3b0b72 100644
--- a/src/qibotn/backends/quimb.py
+++ b/src/qibotn/backends/quimb.py
@@ -8,6 +8,7 @@ from qibo.result import QuantumState
 from qibotn.backends.abstract import QibotnBackend
 from qibotn.result import TensorNetworkResult
 
+
 class QuimbBackend(QibotnBackend, NumpyBackend):
 
     def __init__(self):
@@ -108,11 +109,17 @@ class QuimbBackend(QibotnBackend, NumpyBackend):
         )
 
         frequencies = Counter(circ_quimb.sample(nshots)) if nshots is not None else None
-        main_frequencies = {state: count for state, count in frequencies.most_common(n=100)}
+        main_frequencies = {
+            state: count for state, count in frequencies.most_common(n=100)
+        }
         computational_states = [state for state in main_frequencies.keys()]
-        amplitudes = {state: circ_quimb.amplitude(state) for state in computational_states}
-        measured_probabilities = {state: abs(amplitude) ** 2 for state, amplitude in amplitudes.items()}
-            
+        amplitudes = {
+            state: circ_quimb.amplitude(state) for state in computational_states
+        }
+        measured_probabilities = {
+            state: abs(amplitude) ** 2 for state, amplitude in amplitudes.items()
+        }
+
         statevector = circ_quimb.to_dense() if return_array else None
         return TensorNetworkResult(
             nqubits=circuit.nqubits,