# Is there a way to parallelize the same circuit for multiple input data? **URL:** \ **Category:** PennyLane Help\ **Created:** [February 8, 2023, 2:24am UTC](https://discuss.pennylane.ai/t/is-there-a-way-to-parallelize-the-same-circuit-for-multiple-input-data/2516 "2023-02-08T02:24:05Z")\ **Posts on this page:** 1\ **Showing post:** 7
**Author:** ![Abhishek](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/abhishek/32/1530_2.png) [@Abhishek](https://discuss.pennylane.ai/u/Abhishek)\ **Post date:** [March 10, 2023, 11:14am UTC](https://discuss.pennylane.ai/t/is-there-a-way-to-parallelize-the-same-circuit-for-multiple-input-data/2516/7 "2023-03-10T11:14:58Z")
Hi, I am struggling with same problem. I tried the following with dask, ![image](https://canada1.discourse-cdn.com/flex012/uploads/pennylane/original/2X/9/94ce7d531f6b4a0e33b80ee222c327c3dcfbdb8a.png) ![image](https://canada1.discourse-cdn.com/flex012/uploads/pennylane/original/2X/0/0b0c18fb9c18f01a2e49c1d28c3a42e94c162a4f.png) Now, if we are parallelising the expectation values of 5 different inputs for same circuit as below, ![image](https://canada1.discourse-cdn.com/flex012/uploads/pennylane/original/2X/8/86048bdd2cd1a27f54c50db103107d3daa50442a.png) ![image](https://canada1.discourse-cdn.com/flex012/uploads/pennylane/original/2X/5/507c6c9003e791012d936d06a21ffc494ee428d0.png) But this is only until computing the expectation values in parallel. But machine learning requires computing the gradients of parameters for optimization. I want to speed up the simulations and got stuck with the gradients computations as follows, Gradients : qml.grad(expval)(params) ERROR : - Failed to deserialize - Cannot pickle ‘generator’ object Can someone please help in this regard or show some directions on the alternatives. Thanks a lot!!! --- _[View the full topic](https://discuss.pennylane.ai/t/is-there-a-way-to-parallelize-the-same-circuit-for-multiple-input-data/2516)._