Help Shape the Future of PennyLane
As the quantum landscape evolves, your insights are the most valuable tools we have. Whether you are a researcher pushing the boundaries of quantum chemistry, a developer building cross-platform workflows, or a student just running your first circuit, your feedback directly influences our development roadmap.

By submitting, you agree that we may use your feedback to improve our products without compensation.

By participating in the PennyLane Quantum Programming Survey, you help us understand what’s working, what needs improvement, and which features we should prioritize next.

  • Estimated Time: ~5 minutes.
  • Deadline: Thursday, February 19, 2026, at 11:59 PM EST

Thank you for being a part of the PennyLane community and for helping us make quantum computing more accessible and powerful for everyone!

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Which of the following describes you?
Clear selection
What is your highest level of achieved education?
Clear selection
Which major areas are you interested in? Check all that apply.
If you are performing quantum computing research, which research areas are you involved in? Check all that apply.
Why do you use pennylane.ai? Check all that apply.
What operating system do you use for quantum programming work?
Clear selection
Which of the following scientific computing or machine learning libraries do you use? Check all that apply.
Which special-purpose computing devices do you have access to? Check all that apply.
Which of these major quantum software libraries do you use?
Never heard of it
Heard of it, haven't used
Have used, but not regularly
Use regularly
PennyLane (PennyLane, Catalyst, Lightning)
Qiskit
Cirq
AWS Braket SDK
CUDA Quantum
TKET/Guppy
Classiq
Clear selection
Other:
Which of the following hardware platforms do you use?
Never heard of it
Heard of it, haven't used
Have used, but not regularly
Use regularly
IBM Quantum
AWS Braket
Azure Quantum
IonQ
Quantinuum
Google Quantum
Rigetti QCS
Oxford Quantum Circuits QCaaS
Alpine Quantum Technologies
Quantum Inspire
IQM
Clear selection
Other
Do you use these features in your workflows?
No, it's not important to me
No, but I'm interested
Yes, rarely
Yes, occasionally
Yes, frequently
Execution on hardware backends
Exact simulation (i.e. state-vector simulation)
Approximate simulation (i.e. tensor-network simulation)
Noise models and noisy simulators
Just-in-time compilation (JIT)
Quantum compilation passes and transforms
Quantum gradients/optimization
Resource estimation
Program/circuit visualization
Mid-circuit measurements
Dynamic wire allocation
Clear selection
Which components of PennyLane OSS have you used?
Never heard of it
Heard of it, haven't used
Have used, but not regularly
Use regularly
PennyLane Python library
PennyLane Lightning
Catalyst
PennyLane plugins
PennyLane datasets
Clear selection
Where do you get news and updates about quantum software? Check all that apply.
Do you have any feedback for us? Feel free to include requests for features, content, or anything you would like to see in the PennyLane ecosystem!
Submit
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