Owen L
Owen L
### Team Name: hauntological haberdashery ### Project Description: In this project, we evaluate the potential of using classical machine learning to help expedite quantum machine learning. Specifically, we seek to...
The ability to easily use custom mixer's would be nice, currently I see only x and xy supported, but there is a work in exploring more options. The input format...
Is there a built in way to get the actual/exact/true solution to a given problem? Obviously it doesn't scale, but I would like to evaluate how well the QAOA is...
### Description As the title indicated, with a double while loop, where the inner while loop may change in length over outer while loop steps, `pmap` is substantially faster than...
Is there a reference for the Tanyam solver? I am unfamiliar with it, and don't see it online or in the paper
I was encountering some poor performance and was able to track down the cause to 2 places. 1) there was a mistake in the scaling of the new learning rate...
If I want to compute the jacobian inside of gradient tape (so I can use it downstream in optimization) classically I can do: ```python x = tf.random.normal([7, 1]) model =...
While there are still problems with the rendering of the new math ops (see https://github.com/tensorflow/quantum/issues/594), I found what I think is another documentation problem on the tfq website. The descriptions...
Currently using channels (noise or reset, either way non-unitary) is not supported in the fidelity operation. Perhaps the fidelity could be modified or a "noisy fidelity" could be added which...
The latest version of jax seems to break things when you parallelize, both `pmap` and sharding have the same error. Here is MVC: ```python import os import multiprocessing os.environ["XLA_FLAGS"] =...