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# Description
lambeq provides a large number of models and trainers, covering a broad range of [use cases](https://cqcl.github.io/lambeq/use-cases.html), both quantum and "classical", where the lat…
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**Description**
Implement a custom optimizer for Qiskit specifically designed to work with IonQ's trapped-ion quantum computers. The optimizer should be able to transpile quantum circuits into the …
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## Issue Description
Benchmark quantum circuit are a crucial ingredient to test empirically the performance of quantum error mitigation techniques on real or simulated devices, and can be used as a d…
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**Describe the feature you'd like**
Stabilizer circuits can be [classically simulated efficiently](https://en.wikipedia.org/wiki/Gottesman%E2%80%93Knill_theorem), and are very useful in quantum infor…
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Example:
The [How to build and transpile Qiskit quantum circuits](https://github.com/qiskit-community/ffsim/blob/main/docs/how-to-guides/qiskit-circuits.ipynb) notebook begins with the markdown
…
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**Description**
Compare the performance of the custom optimizer against Qiskit's default optimizer. This demonstration should highlight the improvements in terms of gate count and circuit depth red…
splch updated
3 weeks ago
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**Describe the feature you'd like**
Currently, the Tracker counts the number of on-demand tasks, but not LocalSimulator tasks. For example
```python
from braket.aws import AwsDevice
from braket.c…
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Here are some references:
1. Measuring orbital interaction using quantum information theory (https://arxiv.org/abs/cond-mat/0508524)
2. Simulating Strongly Correlated Quantum Systems with Tree Tenso…
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Hi There~
I want to ask how can I run the benchmark circuit and visualize the result by using these benchmark sample scripts provided by MQT Bench on the local or remote simulator?
Thanks
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### What should we have?
tensorflow_quantum has `tfq.covert_to_tensor` and `tfq.from_tensor` to convert circuits into tensors for machine learning etc.
Since tfq is pretty fickle and doesn't ha…