> For the complete documentation index, see [llms.txt](https://openvector.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://openvector.gitbook.io/docs/quick-start/editor-2.md).

# Tensor Multiplication

In this article we continue our quick start series. We assume that you are following from the previous article.

#### 5. Create a Compute Request for Matrix Multiplication

We will create a `ComputeRequest` to perform homomorphic matrix multiplication.

```cpp
    // Create operands for the compute request
    ComputeRequest::ComputeOperationOperand operand1(
        ComputeRequest::DataType::TENSOR,
        ComputeRequest::DataEncrytionType::CIPHERTEXT,
        serialized_ct1
    );

    ComputeRequest::ComputeOperationOperand operand2(
        ComputeRequest::DataType::TENSOR,
        ComputeRequest::DataEncrytionType::CIPHERTEXT,
        serialized_ct2
    );

    // Define the compute operation instance
    ComputeRequest::ComputeOperationInstance operation(
        ComputeRequest::ComputeOperationType::BINARY,
        ComputeRequest::ComputeOperation::MULTIPLY,
        { operand1, operand2 }
    );

    // Create the compute request
    ComputeRequest req(operation);
```

**Explanation:**

* We create two `ComputeOperationOperand` objects representing the serialized tensors.
* We specify that the data type is `TENSOR` and the encryption type is `CIPHERTEXT`.
* We define a `ComputeOperationInstance` for the multiplication operation with two operands.
* The `ComputeRequest` is created with this operation instance.

#### 6. Send the Compute Request and Receive the Response

We send the request to the network and receive the encrypted result.

```cpp
    // Measure the start time
    auto start = std::chrono::high_resolution_clock::now();

    // Perform the computation
    ComputeResponse* res = nullptr;
    client_node.compute(req, &res);

    // Measure the end time
    auto stop = std::chrono::high_resolution_clock::now();

    // Check if the computation was successful
    if (res && res->status() == ComputeResponse::Status::OK) {
        std::cout << "Encrypted result tensor received." << std::endl;
    } else {
        std::cerr << "Computation failed." << std::endl;
        return 1;
    }
```

**Explanation:**

* We measure the time before and after the computation to calculate the duration.
* The `compute` method sends the request and populates the `res` pointer with the response.
* We check the `status` of the response to ensure the computation was successful.


---

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