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[BUG] qml.AmplitudeEmbedding
not supported in lightning.qubit
in the middle of the circuit
#5526
[BUG] qml.AmplitudeEmbedding
not supported in lightning.qubit
in the middle of the circuit
#5526
Comments
@KetpuntoG have you tried with master? Might. have different behavior with the new device interface. |
@albi3ro This happens because |
Expected behavior
This code should give the same output than default.qubit.
Actual behavior
Additional information
No response
Source code
No response
Tracebacks
No response
System information
Name: PennyLane Version: 0.36.0.dev0 Summary: PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network. Home-page: https://github.com/PennyLaneAI/pennylane Author: Author-email: License: Apache License 2.0 Location: /usr/local/lib/python3.10/dist-packages Requires: appdirs, autograd, autoray, cachetools, networkx, numpy, pennylane-lightning, requests, rustworkx, scipy, semantic-version, toml, typing-extensions Required-by: PennyLane_Lightning Platform info: Linux-6.1.58+-x86_64-with-glibc2.35 Python version: 3.10.12 Numpy version: 1.25.2 Scipy version: 1.11.4 Installed devices: - lightning.qubit (PennyLane_Lightning-0.35.1) - default.clifford (PennyLane-0.36.0.dev0) - default.gaussian (PennyLane-0.36.0.dev0) - default.mixed (PennyLane-0.36.0.dev0) - default.qubit (PennyLane-0.36.0.dev0) - default.qubit.autograd (PennyLane-0.36.0.dev0) - default.qubit.jax (PennyLane-0.36.0.dev0) - default.qubit.legacy (PennyLane-0.36.0.dev0) - default.qubit.tf (PennyLane-0.36.0.dev0) - default.qubit.torch (PennyLane-0.36.0.dev0) - default.qutrit (PennyLane-0.36.0.dev0) - null.qubit (PennyLane-0.36.0.dev0)
Existing GitHub issues
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