From ca7cf6a122323f2c6e4d737ed22088a11c112e38 Mon Sep 17 00:00:00 2001
From: "renovate[bot]" <29139614+renovate[bot]@users.noreply.github.com>
Date: Thu, 14 Nov 2024 13:23:52 +0100
Subject: [PATCH 1/2] Update dependency pasqal-cloud to v0.12.5 (#611)

Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 74c612c9..7cbf030f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -64,7 +64,7 @@ allow-ambiguous-features = true
 pulser = [
     "pulser-core==1.1.1",
     "pulser-simulation==1.1.1",
-    "pasqal-cloud==0.12.4",
+    "pasqal-cloud==0.12.5",
 ]
 visualization = [
     "graphviz",

From 465506538e151e541208433d9e1ef8844270ed14 Mon Sep 17 00:00:00 2001
From: chMoussa <charles.moussa@pasqal.com>
Date: Fri, 15 Nov 2024 12:21:23 +0100
Subject: [PATCH 2/2] [Bugfix] Fix noisy simulation pulser and test (#612)

---
 qadence/backends/pulser/backend.py | 27 +++++++--------------------
 tests/conftest.py                  |  2 +-
 2 files changed, 8 insertions(+), 21 deletions(-)

diff --git a/qadence/backends/pulser/backend.py b/qadence/backends/pulser/backend.py
index 7eb383de..8d086af3 100644
--- a/qadence/backends/pulser/backend.py
+++ b/qadence/backends/pulser/backend.py
@@ -351,27 +351,14 @@ def expectation(
                     noise=noise,
                 )
                 support = sorted(list(circuit.abstract.register.support))
-                # TODO: There should be a better check for batched density matrices.
-                if dms.size()[0] > 1:
-                    res_list = [
-                        [
-                            obs.native(
-                                dm.squeeze(), param_values, qubit_support=support, noise=noise
-                            )
-                            for dm in dms
-                        ]
-                        for obs in observable
-                    ]
-                    res = torch.stack(
-                        [torch.transpose(torch.stack(res), 0, -1) for res in res_list]
-                    )
-
-                else:
-                    res_list = [
-                        obs.native(dms, param_values, qubit_support=support) for obs in observable
+                res_list = [
+                    [
+                        obs.native(dm.squeeze(), param_values, qubit_support=support, noise=noise)
+                        for dm in dms
                     ]
-                    res = torch.transpose(torch.stack(res_list), 0, 1)
-                res = res if len(res.shape) > 0 else res.reshape(1)
+                    for obs in observable
+                ]
+                res = torch.stack([torch.transpose(torch.stack(res), 0, -1) for res in res_list])
                 return res.real
         elif mitigation is not None:
             logger.warning(
diff --git a/tests/conftest.py b/tests/conftest.py
index fbbb6364..9b0b9f91 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -33,7 +33,7 @@ def batched_noisy_pulser_sim() -> Tensor:
 
 @fixture
 def noisy_pulser_sim() -> Tensor:
-    return tensor([[[0.3043, 0.0000, 0.0000, -0.0038]]])
+    return tensor([[0.3597]])
 
 
 @fixture