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I am trying to create an adversarial quantum neural networks containing two hybrid quantum classical NN model. In the first model, a classical NN is going to find the parameters for a parameterized qu…
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#### Issue description
Issue posted by user `max` on the [forums](https://discuss.pennylane.ai/t/errors-in-passing-quantum-matrix-operators-to-qnode-object/362)
* *Expected behavior:* The fo…
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Could anyone help to explain how this function works?
def two_qubit_pool(source_qubit, sink_qubit, symbols):
"""Make a Cirq circuit to do a parameterized 'pooling' operation, which
attemp…
ghost updated
4 years ago
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Hi! I am trying to calculate and optimize a loss with TFQ, which corresponds to the negative log likelihood over some datapoints. The idea (https://www.nature.com/articles/s41534-019-0157-8.pdf) is to…
jfold updated
4 years ago
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Hi,
I'm trying to build a custom RNN cell, which is a wrapper of an LSTM cell (or any other RNN cell), and in particular, I would need to add multiple hidden states to this layer. Also, the dimension…
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Is it currently possible to include a PQC as part of a model? The current examples first converts the classical input before passing them into the model. I would like the conversion to happen within t…
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I tried to run the following code through Quantum Engine:
```
import random
a, b = cirq.LineQubit.range(2)
circuit = cirq.Circuit.from_ops(cirq.X(a))
engine = cirq.google.Engine(api_key=api_key…
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Can quantum work on Large-scale distributed platform?such as several gpus?
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TNQVM does not work with Intel MKL (at least on some common systems like my Ubuntu 18.04 desktop). The runtime error is below:
tnqvm/tests/ExatnVisitorTester
[==========] Running 6 tests from 1 t…
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Is this a module you all would be interested in adding to cirq? I suggest this because there are several non-trivial methods of doing this at this point that i would like to implement, and I want to m…