Teague Tomesh

Pre-Report Checklist -------------------- - [x] I am running the latest versions of pyQuil and the Forest SDK - [x] I checked to make sure that this bug has not already...

`tq2qiskit` fails when the `QuantumModule` contains a `nn.ModuleList()` of gates

1

I wanted to visualize the model I had built to check whether I had correctly implemented it. However, the conversion to qiskit fails when the quantum model contains a `nn.ModuleList`...

Allow for users to generate benchmark circuits in either cirq or qiskit

2

Use the functionality given by `converters.cirq_to_qiskit` for now (see #18), in the future, an api endpoint will be added to - `cirq-superstaq` -> [PR#265](https://github.com/SupertechLabs/cirq-superstaq/pull/265) - `qiskit-superstaq` -> [PR#176](https://github.com/SupertechLabs/qiskit-superstaq/pull/176)

This is necessary for the ISCA tutorial since [SuperstaQ#1023](https://github.com/SupertechLabs/SuperstaQ/pull/1023) isn't merged yet. If we know that the ECP benchmarks will only be run on IBM machines, then the score function...

Adding additional benchmarks

2

- Linear cross entropy - Quantum volume - Unbiased coin flipping (random-number generator) - QED-C benchmarks ([Github link](https://github.com/SRI-International/QC-App-Oriented-Benchmarks))

See #22 and [SuperstaQ#1023](https://github.com/SupertechLabs/SuperstaQ/pull/1023)

```python def _close_line(self, line: matplotlib.lines.Line2D) -> None: x, y = line.get_data() # FIXME: markers at x[0], y[0] get doubled-up if x[0] != x[-1]: x = np.append(x, x[0]) y = np.append(y,...