MichaelBroughton

Hmmm is `circuit_batch` something has had `tfq.convert_to_tensor` called on it ?

Hmmm looks like either the windows fix didn't translate well over to Mac or over the course of releases from `0.3.1 -> 0.5.0dev` we managed to re-introduce the problem somewhere....

That's correct @zaqqwerty . For most (if not all) of the NiSQ research we are doing float32 is more than enough precision. To add float64 support one would first need...

> I also tried to convert ragged tensor to normal tensor, but I didn't work How did you go about doing this ? it looks like the error you posted...

This could be a bug. Would you mind posting what version of TFQ you are using, your OS and a full snippet that produces this error (imports and everything) ?

Finally got around to re-reading this. Did you get a chance to look into the high level feedback I left before ? I see the tutorial is still missing some...

I've just sent a request (using my @google.com email). Will be able to look more closely into things once you can share the notebook with me. I will be sure...

No problem. So at first glance I think you've solved your own problem in your comment on the side there. The `compressed_image_size` is too big with a value of 8....

That's awesome! Always happy to see more publications making use of TFQ!

Hi @sassan72 thanks for opening this issue, could you please provide a working snippet of code I could run to reproduce the problem on my end ? Right now the...