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### Description
Qiskit Applications (Optimization, Finance, Nature, ML) have some performance benchmarks implemented. By performance we understand various metrics like executing time, required me…
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### Description
Data re-uploading is a recently proposed idea of quantum neural network, which uses a quantum circuit with a series of data re-uploading and processing layers. Unlike the convention…
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# Description
Qiskit Applications (Optimization, Finance, Nature, ML) have recently started working on performance benchmarks. By performance we understand various metrics like executing time, requir…
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# Description
This activity closely related to #13 and may be considered together depending on the number of participants. Current QML algorithms may take significant time to run and they definitel…
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I am using `EstimatorQNN` to train a NN using `TorchConnector`.
This is how I define the QNN:
```feature_dim = 256
input_dim = int(np.log2(feature_dim))
feature_map = RawFeatureVector(featur…
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### Expected behavior
With default.qubit, cost function is successfully optimized with no warning. Output is as attached:
![default_qubit_output](https://github.com/PennyLaneAI/pennylane/assets/…
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- [ ] Change [qiskit_machine_learning.kernels.QuantumKernel.user_parameters](https://github.com/Qiskit/qiskit-machine-learning/blob/e971f8e2de14c69751b21ec83818303f463a395d/qiskit_machine_learning/ker…
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Description
- This project is intended to explore couple papers in literature of Quantum Transformer models [self attention model: https://arxiv.org/abs/2205.05625 , Quantum vision transformers : htt…
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### Description
Quantum machine learning is gaining momentum and becoming more and more popular across machine learning researchers. This project aims facilitating smooth transition from classical …
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### Description
To use different quantum computing techniques focused on Machine Learning, as a principal base for the quantum autoencoder to be able to reduce data in a medical dataset, also to …