# PennyLane Feedback **URL:** https://discuss.pennylane.ai/c/pennylane-feedback/3.md [Latest](https://discuss.pennylane.ai/latest.md) · [Categories](https://discuss.pennylane.ai/categories.md) --- ## [Suggesting features, document additions, and enhancements](https://discuss.pennylane.ai/t/suggesting-features-document-additions-and-enhancements/17)
**Author:** [@josh](https://discuss.pennylane.ai/u/josh)\ **Replies:** 0\ **Last updated:** [November 16, 2018, 8:48pm UTC](https://discuss.pennylane.ai/t/suggesting-features-document-additions-and-enhancements/17 "2018-11-16T20:48:55Z")
Guidelines for PennyLane feature requests and enhancements. There is no template required for feature requests and enhancements, but here are a couple of suggestions for things to include. Use a clear and descriptive… --- ## [Calculating effective dimension](https://discuss.pennylane.ai/t/calculating-effective-dimension/3494)
**Author:** [@ShikBan](https://discuss.pennylane.ai/u/ShikBan)\ **Replies:** 3\ **Last updated:** [November 25, 2024, 4:08pm UTC](https://discuss.pennylane.ai/t/calculating-effective-dimension/3494 "2024-11-25T16:08:19Z")
Hi, I want to calculate the effective dimension for a neural network constructed using strawberry fields. Is there a way to do that? If not, are there any suggestions on how to do that? Here is how it is done in the qisk… --- ## [Small inconsistency in the Codebook for Distance Measures](https://discuss.pennylane.ai/t/small-inconsistency-in-the-codebook-for-distance-measures/5983)
**Author:** [@FedeHR](https://discuss.pennylane.ai/u/FedeHR)\ **Replies:** 1\ **Last updated:** [October 9, 2024, 2:45am UTC](https://discuss.pennylane.ai/t/small-inconsistency-in-the-codebook-for-distance-measures/5983 "2024-10-09T02:45:19Z")
In the codebook, I believe there is an inconsistency with the definition of fidelity: In one example, it is defined as the square of the previous definition, as you can see in the pictures. Otherwise, you sometimes… --- ## [Pennylane blog: provide proper RSS feed](https://discuss.pennylane.ai/t/pennylane-blog-provide-proper-rss-feed/5095)
**Author:** [@schance995](https://discuss.pennylane.ai/u/schance995)\ **Replies:** 1\ **Last updated:** [August 29, 2024, 1:45pm UTC](https://discuss.pennylane.ai/t/pennylane-blog-provide-proper-rss-feed/5095 "2024-08-29T13:45:23Z")
Hi! The RSS feed on the Pennylane blog is not correct, as it links back to the same page: Please update with a proper RSS or Atom feed, thanks! --- ## [Documentation in qml.kernels](https://discuss.pennylane.ai/t/documentation-in-qml-kernels/4755)
**Author:** [@Albert\_Nieto](https://discuss.pennylane.ai/u/Albert_Nieto)\ **Replies:** 5\ **Last updated:** [June 20, 2024, 12:39am UTC](https://discuss.pennylane.ai/t/documentation-in-qml-kernels/4755 "2024-06-20T00:39:58Z")
I am seeing all functions in kernels, and I think it would be nice to add an explanation of what is the purpose of that function. For example, what does polarity mean in terms of evaluation, target alignment, etc. Thank… --- ## [Barrier() attribute absent in Pennylane](https://discuss.pennylane.ai/t/barrier-attribute-absent-in-pennylane/4676)
**Author:** [@sleepingcat4](https://discuss.pennylane.ai/u/sleepingcat4)\ **Replies:** 1\ **Last updated:** [June 3, 2024, 1:37pm UTC](https://discuss.pennylane.ai/t/barrier-attribute-absent-in-pennylane/4676 "2024-06-03T13:37:16Z")
I have a feedback for the PennyLane team. While I was diving deep inside PennyLane I noticed there was Barrier module absent. barrier() module is present within Qiskit and it helps a lot in visualisation and execution. I… --- ## [Grader issue with PennyLane Certificate Challenge](https://discuss.pennylane.ai/t/grader-issue-with-pennylane-certificate-challenge/4313)
**Author:** [@diemilio](https://discuss.pennylane.ai/u/diemilio)\ **Replies:** 9\ **Last updated:** [April 3, 2024, 9:20am UTC](https://discuss.pennylane.ai/t/grader-issue-with-pennylane-certificate-challenge/4313 "2024-04-03T09:20:14Z")
Hi, I don’t see a category for “Challenges” but I assume the discussion forum is the right place to post this. I just completed the recently-released “PennyLane Certificate Challenge” and noticed there’s a small issue … --- ## [Parallel Quantum Algorithms Results](https://discuss.pennylane.ai/t/parallel-quantum-algorithms-results/3888)
**Author:** [@kevinkawchak](https://discuss.pennylane.ai/u/kevinkawchak)\ **Replies:** 1\ **Last updated:** [January 17, 2024, 12:40am UTC](https://discuss.pennylane.ai/t/parallel-quantum-algorithms-results/3888 "2024-01-17T00:40:24Z")
A 20.0% increase in training loss efficiency (0.42/0.35), and a 14.9% increase in validation loss efficiency (0.54/0.47) was experienced using two QML algorithms in parallel vs. a single QML algorithm with the Bromley, T… --- ## [The Shift Towards a Healthy QiML Industry](https://discuss.pennylane.ai/t/the-shift-towards-a-healthy-qiml-industry/3600)
**Author:** [@kevinkawchak](https://discuss.pennylane.ai/u/kevinkawchak)\ **Replies:** 1\ **Last updated:** [October 30, 2023, 10:23pm UTC](https://discuss.pennylane.ai/t/the-shift-towards-a-healthy-qiml-industry/3600 "2023-10-30T22:23:01Z")
Hello, An inquiry regarding existing quantum inspired machine learning technologies to gain ‘simulator specific’ advantages for new utilities and improved performance over previous models. Best regards. https://github.co… --- ## [Documentation of expval](https://discuss.pennylane.ai/t/documentation-of-expval/3566)
**Author:** [@IanDavis](https://discuss.pennylane.ai/u/IanDavis)\ **Replies:** 4\ **Last updated:** [October 19, 2023, 2:25pm UTC](https://discuss.pennylane.ai/t/documentation-of-expval/3566 "2023-10-19T14:25:15Z")
You need a feedback topic for documentation. qml.expval needs to be better explained in the documentation This function returns an expectationMP which I found it impossible to recover the expval as a double from. Howe… --- ## [GitHub Repository](https://discuss.pennylane.ai/t/github-repository/3501)
**Author:** [@kevinkawchak](https://discuss.pennylane.ai/u/kevinkawchak)\ **Replies:** 1\ **Last updated:** [October 3, 2023, 2:48pm UTC](https://discuss.pennylane.ai/t/github-repository/3501 "2023-10-03T14:48:55Z")
This repository of Code and R&D resources are useful for new Medical Quantum Machine Learning developers, and quantum programmers seeking to create new applications. --- ## [Progress bar for long computations](https://discuss.pennylane.ai/t/progress-bar-for-long-computations/3447)
**Author:** [@Den](https://discuss.pennylane.ai/u/Den)\ **Replies:** 2\ **Last updated:** [September 21, 2023, 12:41pm UTC](https://discuss.pennylane.ai/t/progress-bar-for-long-computations/3447 "2023-09-21T12:41:29Z")
Some VQE computations for molecular ground states may take several hours. It would be good for the community if you could include an input to functions like pennylane.expval to activate something like the tqdm function … --- ## [H2CO, not HCOH on Molecular Dataset](https://discuss.pennylane.ai/t/h2co-not-hcoh-on-molecular-dataset/3441)
**Author:** [@Den](https://discuss.pennylane.ai/u/Den)\ **Replies:** 2\ **Last updated:** [September 19, 2023, 2:14pm UTC](https://discuss.pennylane.ai/t/h2co-not-hcoh-on-molecular-dataset/3441 "2023-09-19T14:14:51Z")
Pennylane’s molecular dataset shows a structure of H2CO (metanal) being associated to a HCOH labeling, which refers to a metanol radical without two hydrogen atoms under IUPAC standards. Non-hydrocarbons are labeled in … --- ## [PennyLane quantum machine learning workflows](https://discuss.pennylane.ai/t/pennylane-quantum-machine-learning-workflows/3434)
**Author:** [@kevinkawchak](https://discuss.pennylane.ai/u/kevinkawchak)\ **Replies:** 1\ **Last updated:** [September 18, 2023, 3:49pm UTC](https://discuss.pennylane.ai/t/pennylane-quantum-machine-learning-workflows/3434 "2023-09-18T15:49:27Z")
Three helpful resources for improving PennyLane quantum machine learning workflows. The first is derived from “Using PennyLane” documentation, the second is qml demos modified or improved, the third is coding tips with e… --- ## [Calling all Coding Challenge enthusiasts!](https://discuss.pennylane.ai/t/calling-all-coding-challenge-enthusiasts/3108)
**Author:** [@isaacdevlugt](https://discuss.pennylane.ai/u/isaacdevlugt)\ **Replies:** 0\ **Last updated:** [June 27, 2023, 7:51pm UTC](https://discuss.pennylane.ai/t/calling-all-coding-challenge-enthusiasts/3108 "2023-06-27T19:51:26Z")
Calling all Coding Challenge enthusiasts :mega: ! We’re redesigning our Coding Challenge platform and seeking your valuable input to make it EPIC :boom: We’ve prepared a couple of questions in this anonymous survey tha… --- ## [Meta-plugin for HPC/super computer environments](https://discuss.pennylane.ai/t/meta-plugin-for-hpc-super-computer-environments/72)
**Author:** [@Christian\_Gogolin](https://discuss.pennylane.ai/u/Christian_Gogolin)\ **Replies:** 1\ **Last updated:** [January 23, 2019, 2:03pm UTC](https://discuss.pennylane.ai/t/meta-plugin-for-hpc-super-computer-environments/72 "2019-01-23T14:03:43Z")
I think it would be nice if PL included a “meta-plugin” to run the actual computations of simulator based plugins on a remote machine, such as a HPC cluster or super computer. i imagine this to be useful especially when … --- ## [Sparse storage of state attribute in device class](https://discuss.pennylane.ai/t/sparse-storage-of-state-attribute-in-device-class/2565)
**Author:** [@zrtstr](https://discuss.pennylane.ai/u/zrtstr)\ **Replies:** 1\ **Last updated:** [February 17, 2023, 10:47pm UTC](https://discuss.pennylane.ai/t/sparse-storage-of-state-attribute-in-device-class/2565 "2023-02-17T22:47:15Z")
Hi all! First of all I want to congratulate the developers for such an amazing library. I would like to ask on the possibility of creating devices for mixed states that are able to store a considerably large number of … --- ## [Reference format for pennylane demos?](https://discuss.pennylane.ai/t/reference-format-for-pennylane-demos/2266)
**Author:** [@EvanPeters](https://discuss.pennylane.ai/u/EvanPeters)\ **Replies:** 1\ **Last updated:** [November 4, 2022, 10:33pm UTC](https://discuss.pennylane.ai/t/reference-format-for-pennylane-demos/2266 "2022-11-04T22:33:00Z")
Is there a preferred reference format for the pennylane demos? It would be nice if each demo had a “cite as…” suggestion. Or maybe an associated Bibtex entry. --- ## [Take the PennyLane user survey](https://discuss.pennylane.ai/t/take-the-pennylane-user-survey/1117)
**Author:** [@nathan](https://discuss.pennylane.ai/u/nathan)\ **Replies:** 0\ **Last updated:** [June 15, 2021, 6:49pm UTC](https://discuss.pennylane.ai/t/take-the-pennylane-user-survey/1117 "2021-06-15T18:49:43Z")
In our quest to make the world’s best quantum software library, we are looking to hear from you (yes YOU!). Please help us in our quest by filling out our PennyLane User Survey. --- ## [Data Reuploading Classifier](https://discuss.pennylane.ai/t/data-reuploading-classifier/899)
**Author:** [@andynader](https://discuss.pennylane.ai/u/andynader)\ **Replies:** 1\ **Last updated:** [March 8, 2021, 4:54am UTC](https://discuss.pennylane.ai/t/data-reuploading-classifier/899 "2021-03-08T04:54:41Z")
Hi! I have a small, maybe nitpicky comment about the data re-uploading classifier demo page. If we have a 30% probability of being in the |0\> state and a 70% probability of being in the |1\> state, the associated state q… --- ## [Imperative Dataflow in QC design?](https://discuss.pennylane.ai/t/imperative-dataflow-in-qc-design/484)
**Author:** [@Aditya\_Muralidhar](https://discuss.pennylane.ai/u/Aditya_Muralidhar)\ **Replies:** 3\ **Last updated:** [July 21, 2020, 8:05am UTC](https://discuss.pennylane.ai/t/imperative-dataflow-in-qc-design/484 "2020-07-21T08:05:40Z")
Hi ᓵᓈᑑ’ I’m a neophyte in your arena, just looking forward to getting my feet wet, I’ve designed a photonic circuit but apart from specifically cancelling outputs from designated junctions interferrometrically, is it po… --- ## [Bias inside keras layer](https://discuss.pennylane.ai/t/bias-inside-keras-layer/438)
**Author:** [@kareem\_essafty](https://discuss.pennylane.ai/u/kareem_essafty)\ **Replies:** 1\ **Last updated:** [June 22, 2020, 2:39pm UTC](https://discuss.pennylane.ai/t/bias-inside-keras-layer/438 "2020-06-22T14:39:06Z")
hi, It’s a small suggestion but it was very helpful in my case. you can modify the Keras layer to accept a variable called “include\_bias=False” and based on that the build function can initialize some bias weights and a… --- ## [Jax instead of autograde](https://discuss.pennylane.ai/t/jax-instead-of-autograde/339)
**Author:** [@kareem\_essafty](https://discuss.pennylane.ai/u/kareem_essafty)\ **Replies:** 9\ **Last updated:** [February 25, 2020, 4:45pm UTC](https://discuss.pennylane.ai/t/jax-instead-of-autograde/339 "2020-02-25T16:45:59Z")
can we use Jax instead of autograde for greater speed while training complex circuits? --- ## [Implementing the implicit part of QML in feature HS](https://discuss.pennylane.ai/t/implementing-the-implicit-part-of-qml-in-feature-hs/173)
**Author:** [@kareem\_essafty](https://discuss.pennylane.ai/u/kareem_essafty)\ **Replies:** 1\ **Last updated:** [July 13, 2019, 2:41pm UTC](https://discuss.pennylane.ai/t/implementing-the-implicit-part-of-qml-in-feature-hs/173 "2019-07-13T14:41:16Z")
hi this is my attempt to implement the first part of this paper I hope i coded it well :smiley: any feedback is much appreciated import numpy as np from sklearn.linear\_model import LogisticRegression as lr from skl… --- ## [Photonic neural network](https://discuss.pennylane.ai/t/photonic-neural-network/151)
**Author:** [@kareem\_essafty](https://discuss.pennylane.ai/u/kareem_essafty)\ **Replies:** 1\ **Last updated:** [June 5, 2019, 1:22pm UTC](https://discuss.pennylane.ai/t/photonic-neural-network/151 "2019-06-05T13:22:40Z")
I have found this paper on the internet. I know that QNN uses the kerr or the cubic phase gates as the nonlinear activation functions however the paper uses the measurement operation itself as a nonlinear function. My qu… --- ## [Variational simulation of imaginary time evolution](https://discuss.pennylane.ai/t/variational-simulation-of-imaginary-time-evolution/33)
**Author:** [@peterwittek](https://discuss.pennylane.ai/u/peterwittek)\ **Replies:** 4\ **Last updated:** [December 21, 2018, 1:17pm UTC](https://discuss.pennylane.ai/t/variational-simulation-of-imaginary-time-evolution/33 "2018-12-21T13:17:16Z")
Hi, It would be great to have the protocol described in arXiv:1804.03023 implemented in Penny Lane. It was implemented in QuEST by the authors, but the automatic differentiation of Penny Lane would work for the method. … --- ## [Simulation on strawberry field.fock](https://discuss.pennylane.ai/t/simulation-on-strawberry-field-fock/43)
**Author:** [@kareem\_essafty](https://discuss.pennylane.ai/u/kareem_essafty)\ **Replies:** 2\ **Last updated:** [December 3, 2018, 9:17am UTC](https://discuss.pennylane.ai/t/simulation-on-strawberry-field-fock/43 "2018-12-03T09:17:45Z")
Hi, I’d like to know something. when I use the decorator @qml.qnode(dev) does that mean that it uses the backend I chose when i called the device as its simulator? another thing does pennylane sf plugin need a toke… --- ## [About the PennyLane Feedback category](https://discuss.pennylane.ai/t/about-the-pennylane-feedback-category/2)
**Author:** [@system](https://discuss.pennylane.ai/u/system)\ **Replies:** 0\ **Last updated:** [November 16, 2018, 5:24pm UTC](https://discuss.pennylane.ai/t/about-the-pennylane-feedback-category/2 "2018-11-16T17:24:08Z")
Discussion about PennyLane, how it works, and how we can improve it.