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# Abstract
When performing variational quantum computations on noisy quantum processors, the measured expectation values ‘drift’ as the amount of noise increases. By making use of increasingly noisy …
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Pre-Request Checklist
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- [v] I am running the latest versions of pyQuil and the Forest SDK
- [v] I checked to make sure that this feature has not already been requested
Is…
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Hi Hanrui,
Code below from _examples/quantumnat.py_ loads the noise model from IBM's **ibmq_quito** machine
```
noise_model_tq = tq.NoiseModelTQ(
noise_model_name="ibmq_quito",
…
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# Abstract
Qiskit has a built-in noise simulator library that allows the quantum programmer to simulate a quantum circuit with noise. This allows the programmer to predict the outcome of a real imple…
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### Description
In this project, we aim to use extend and run a new class of variational algorithms in IBM quantum hardware.
### Deliverables
benchmarking the algorithm for different data and stud…
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# Description
I'm interested in creative, visual representations of quantum concepts/phenomena to engage students, industry professionals, and the general population.
I'd like to focus on quant…
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![image](https://user-images.githubusercontent.com/30803146/70693628-7fb6a500-1cc6-11ea-86a2-2ec7f15c9bbd.png)
![image](https://user-images.githubusercontent.com/30803146/70693609-762d3d00-1cc6-1…
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### Description
Circuit cutting [1] has been proposed as a method to partition a circuit into multiple smaller sub-circuits or fragments. Each fragment can be executed independent of the other, and…
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After installing (on a Windows machine) tensorflow and tensorflow-quantum as explained in the repository, I don't manage to import tensorflow_quantum, since I get the _tfq_simulate_ops.so error (_ten…
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I would like to simulate a circuit with the device noise model. I tried the following code
```python
qvm = get_qc("Aspen-1-16Q-A", as_qvm=True, noisy=True)
ro = p.declare(name='ro', memory_type='BI…