MichaelBroughton

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Consolidate the different implementations of state tomography

Is this still an open concern ?

SampledExpectation layer seems to recompute the same circuits for different measurement ops

Thanks for raising this issue. I'm going to refer to the examples from the documentation here: https://www.tensorflow.org/quantum/api_docs/python/tfq/layers/SampledExpectation ```python3 bit = cirq.GridQubit(0, 0) symbols = sympy.symbols('x y z') ops = [cirq.Z(bit),...

SampledExpectation layer seems to recompute the same circuits for different measurement ops

Good idea! I can take that on, unless you would like to :) ?

qGANs

We do have a qgan tutorial featured now in `/research` branch.

TF Quantum Starter Example

I think we might be able to fit this in as a tutorial, right after the hello many worlds and before the MNIST classification tutorial. The goal of our tutorials...

Add Quantum Generative Adversarial Networks tutorial

I think this notebook may be a fair ways away from being "tutorial ready". We do have a very similar notebook in the `/research` branch which is accessible from the...

Add adjoint hessian called tfq.math.inner_product_hessian

Hi Jae, thanks for writing all of this! I have a few high level questions/comments: 1. > It's independent of TensorFlow's Jacobian routine, so you can get the Hessian directly...

Update hello_many_worlds.ipynb

Would you be willing to sign the CLA so we can go ahead and merge ?

Error in TFQ API Rendering 2: Electric Boogaloo

Gahhh this one is strange..... I'll try and take another crack at this.

[Discussion] Dataset integrations

Good question! Some initial thoughts: In general a library like Cirq encourages research/experiments that are relevant for the NiSQ era (though it is possible to do much more than just...