diff --git a/include/aidge/aidge.hpp b/include/aidge/aidge.hpp
index f77ddb3d59a771779fc8362ec0d8ec705a4c2bc2..ec0329dd2db45bed05452c25bf06900b1758d009 100644
--- a/include/aidge/aidge.hpp
+++ b/include/aidge/aidge.hpp
@@ -36,6 +36,7 @@
#include "aidge/nodeTester/ConditionalInterpreter.hpp"
#include "aidge/operator/Add.hpp"
+#include "aidge/operator/And.hpp"
#include "aidge/operator/ArgMax.hpp"
#include "aidge/operator/AvgPooling.hpp"
#include "aidge/operator/BatchNorm.hpp"
diff --git a/include/aidge/operator/And.hpp b/include/aidge/operator/And.hpp
new file mode 100644
index 0000000000000000000000000000000000000000..3739f954fb7660b2643d559eb6d272baac561abe
--- /dev/null
+++ b/include/aidge/operator/And.hpp
@@ -0,0 +1,77 @@
+/********************************************************************************
+ * Copyright (c) 2024 CEA-List
+ *
+ * This program and the accompanying materials are made available under the
+ * terms of the Eclipse Public License 2.0 which is available at
+ * http://www.eclipse.org/legal/epl-2.0.
+ *
+ * SPDX-License-Identifier: EPL-2.0
+ *
+ ********************************************************************************/
+
+#ifndef AIDGE_CORE_OPERATOR_AND_H_
+#define AIDGE_CORE_OPERATOR_AND_H_
+
+#include <memory>
+#include <string>
+#include <vector>
+
+#include "aidge/utils/Registrar.hpp"
+#include "aidge/operator/OperatorTensor.hpp"
+#include "aidge/backend/OperatorImpl.hpp"
+#include "aidge/graph/Node.hpp"
+#include "aidge/utils/Types.h"
+
+namespace Aidge {
+
+/**
+ * @brief Tensor element-wise logical and operation.
+ */
+class And_Op : public OperatorTensor,
+ public Registrable<And_Op, std::string, std::shared_ptr<OperatorImpl>(const And_Op&)> {
+public:
+ static const std::string Type;
+
+ And_Op() : OperatorTensor(Type, {InputCategory::Data, InputCategory::Data}, 1) {}
+
+ /**
+ * @brief Copy-constructor. Copy the operator attributes and its output tensor(s),
+ * but not its input tensors (the new operator has no input associated).
+ * @param op Operator to copy.
+ */
+ And_Op(const And_Op& op)
+ : OperatorTensor(op)
+ {
+ if (op.mImpl) {
+ SET_IMPL_MACRO(And_Op, *this, op.backend());
+ } else {
+ mImpl = nullptr;
+ }
+ }
+
+ /**
+ * @brief Clone the operator using its copy-constructor.
+ * @see Operator::And_Op
+ */
+ std::shared_ptr<Operator> clone() const override {
+ return std::make_shared<And_Op>(*this);
+ }
+
+ bool forwardDims(bool allowDataDependency = false) override final;
+
+ void setBackend(const std::string& name, DeviceIdx_t device = 0) override;
+
+ static const std::vector<std::string> getInputsName(){
+ return {"data_input_1", "data_input_2"};
+ }
+ static const std::vector<std::string> getOutputsName(){
+ return {"data_output"};
+ }
+};
+
+inline std::shared_ptr<Node> And(const std::string& name = "") {
+ return std::make_shared<Node>(std::make_shared<And_Op>(), name);
+}
+} // namespace Aidge
+
+#endif /* AIDGE_CORE_OPERATOR_AND_H_ */
diff --git a/python_binding/operator/pybind_And.cpp b/python_binding/operator/pybind_And.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..29448f73bfcdbc130c8e9566c74d8ebeafd5ff12
--- /dev/null
+++ b/python_binding/operator/pybind_And.cpp
@@ -0,0 +1,29 @@
+/********************************************************************************
+ * Copyright (c) 2024 CEA-List
+ *
+ * This program and the accompanying materials are made available under the
+ * terms of the Eclipse Public License 2.0 which is available at
+ * http://www.eclipse.org/legal/epl-2.0.
+ *
+ * SPDX-License-Identifier: EPL-2.0
+ *
+ ********************************************************************************/
+
+#include <pybind11/pybind11.h>
+
+#include "aidge/data/Tensor.hpp"
+#include "aidge/operator/And.hpp"
+#include "aidge/operator/OperatorTensor.hpp"
+
+namespace py = pybind11;
+namespace Aidge {
+
+void init_And(py::module& m) {
+ py::class_<And_Op, std::shared_ptr<And_Op>, OperatorTensor>(m, "AndOp", py::multiple_inheritance())
+ .def(py::init<>())
+ .def_static("get_inputs_name", &And_Op::getInputsName)
+ .def_static("get_outputs_name", &And_Op::getOutputsName);
+ declare_registrable<And_Op>(m, "AndOp");
+ m.def("And", &And, py::arg("name") = "");
+}
+} // namespace Aidge
diff --git a/python_binding/pybind_core.cpp b/python_binding/pybind_core.cpp
index 9a65449debfb4fe5a0eb82359332f41d1ed3719e..bb83b9d32166b838d50b3b8c2de54520262a9674 100644
--- a/python_binding/pybind_core.cpp
+++ b/python_binding/pybind_core.cpp
@@ -28,6 +28,7 @@ void init_Operator(py::module&);
void init_OperatorTensor(py::module&);
void init_Add(py::module&);
+void init_And(py::module&);
void init_ArgMax(py::module&);
void init_AvgPooling(py::module&);
void init_BatchNorm(py::module&);
@@ -101,6 +102,7 @@ void init_Aidge(py::module& m) {
init_Operator(m);
init_OperatorTensor(m);
init_Add(m);
+ init_And(m);
init_ArgMax(m);
init_AvgPooling(m);
init_BatchNorm(m);
diff --git a/src/operator/And.cpp b/src/operator/And.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..43aeebe24ef0e6d0e0b820d1459f25d64e7054a7
--- /dev/null
+++ b/src/operator/And.cpp
@@ -0,0 +1,58 @@
+/********************************************************************************
+ * Copyright (c) 2024 CEA-List
+ *
+ * This program and the accompanying materials are made available under the
+ * terms of the Eclipse Public License 2.0 which is available at
+ * http://www.eclipse.org/legal/epl-2.0.
+ *
+ * SPDX-License-Identifier: EPL-2.0
+ *
+ ********************************************************************************/
+
+#include <cstddef> // std::size_t
+#include <memory>
+#include <stdexcept> // std::runtime_error
+#include <string>
+#include <vector>
+
+#include "aidge/backend/OperatorImpl.hpp"
+#include "aidge/data/Tensor.hpp"
+#include "aidge/operator/And.hpp"
+#include "aidge/utils/ErrorHandling.hpp"
+#include "aidge/utils/Types.h"
+
+const std::string Aidge::And_Op::Type = "And";
+
+bool Aidge::And_Op::forwardDims(bool /*allowDataDependency*/) {
+ if (inputsAssociated()) {
+ const std::vector<std::size_t>& inputsDims0 = getInput(0)->dims();
+ const std::vector<std::size_t>& inputsDims1 = getInput(1)->dims();
+
+ std::vector<std::size_t> outDims = (inputsDims0.size() >= inputsDims1.size()) ? inputsDims0 : inputsDims1;
+ const std::vector<std::size_t>& lowDims = (inputsDims0.size() < inputsDims1.size()) ? inputsDims0 : inputsDims1;
+
+ std::size_t out_id = outDims.size() - 1;
+ std::size_t low_id = lowDims.size() - 1;
+ std::size_t i = 0;
+ while (i++ < lowDims.size()) {
+ if (outDims[out_id] == 1) {
+ outDims[out_id] = lowDims[low_id];
+ }
+ else if ((lowDims[low_id] != 1) && (lowDims[low_id] != outDims[out_id])) {
+ AIDGE_THROW_OR_ABORT(std::runtime_error, "Incompatible Tensor shape for And Operation: {} for input#0 vs {} for input#1",
+ inputsDims0, inputsDims1);
+ }
+ --out_id;
+ --low_id;
+ }
+ mOutputs[0]->resize(outDims);
+ return true;
+ }
+
+ return false;
+}
+
+void Aidge::And_Op::setBackend(const std::string& name, Aidge::DeviceIdx_t device) {
+ SET_IMPL_MACRO(And_Op, *this, name);
+ mOutputs[0]->setBackend(name, device);
+}