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# Benchmarking near-term quantum algorithms is an art | PennyLane Blog
Scientific literature often describes quantum machine learning models outperforming classical models. In our most recent paper, …
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### Expected behavior
(I develop the `pennylane-qrack` custom back end.) When we run the [ZNE tutorial](https://github.com/unitaryfund/qml/blob/zne-catalyst-tutorial/demonstrations/tutorial_zne_cat…
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This thread is intended to collect some concrete use cases for adding first-class support for quantum machine learning (QML) use cases.
We have identified several classes of use cases we would lik…
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As user, I organize my PDFs in folders. Example:
```
Related_Work_Collection
├── Quantum_Computing
│ ├── Algorithms
│ │ ├── Quantum_Factorization_Overview.pdf
│ │ └── Grover_Search_I…
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#### Issue description
I am benchmarking quantum circuits using Catalyst on a GPU. However, the speedup over CPU execution seems unexpectedly low.
* *Expected behavior:* Much higher speedup (ord…
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# Abstract
Financial wellbeing involves measuring people's financial comfort in the context of their day to day expenses, future savings (e.g., retirement) and their resilience to financial shocks.
…
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### What is the expected enhancement?
While most of the datasets have been deprecated in #319 the `ad_hoc` dataset is available in the module. This dataset is used in a few places and this issue is…
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#### Issue description
when i use the lightning.qubit device i got the error below i already install `pennylane-lightning` latest version.
#### Source code and tracebacks
```python
import penny…
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# Abstract
Construct Hangul MNIST classifier using Qiskit Quantum Machine Learning.
# Description
We have MNIST classifier made by 1) [Quantum Support Vector Machine](https://learn.qiskit.org/co…
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### Description
In this work we will explore ways of finding the dissipative terms of the quantum master equation by deploying an agent to explore the system and bath and learn from its actions and r…