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quantum-computing

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QuantumKatas
tcNickolas
tcNickolas commented Oct 1, 2019

Several katas could have better error messaging:

  • Superposition : the test harness could log the actual state of the system after prep vs the expected state before asserting that they are the same (the change would add state prep and logging using DumpMachine to AssertEqualOnZeroState)
  • BasicGates : a similar improvement, but a bit more extra code to write a unified test wrapper
Cirq
obriente
obriente commented Jul 30, 2020

To get this codebase up to standard, we need to add type hints. At the very least, perhaps we should start insisting that all new code has type hints added, but moreover we need to add typing to the code that currently exists.

This is a pretty large project, but luckily it can be done incrementally - I believe at this point it's a stretch goal for v1, if anyone wants to help it would be much ap

BOBO1997
BOBO1997 commented Apr 12, 2021

Is your feature request related to a problem? Please describe.
I would like to check the behavior of the parameter index in the function QubitCircuit.add_gate()

In qutip.qip.QubitCircuit.add_gate(), there is a optional list type attribute called index.
This seems to be used to insert gates in the middle of the gate list (qutip.qip.QubitCircuit.gates).
The corresponding code is

pennylane
rob7112
rob7112 commented Oct 20, 2021

Feature details

I would like to enable a regularizer option for the weights of a KerasLayer, i.e., something similar to a “kernel_regularizer” option for Dense and Conv layers in Tensorflow:

https://www.tensorflow.org/api_docs/python/tf/keras/layers/Dense

More background provided here: https://discuss.pennylane.ai/t/adding-regularization-to-keraslayer/1420

Implementation

Yes, it

qiskit-textbook

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