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# Question : Write a JavaScript program to implement a basic quantum neural network (QNN) for solving machine learning tasks.
Path to create the file : `TGyiT7/LgzwKn.js`
To assign yourself for thi…
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# Question : Implement a program for real-time recommendation systems based on quantum deep reinforcement learning with recurrent neural networks.
Path to create the file : `004ENw/DRqQ0F.cs`
To as…
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### Team Name:
Hooked on Photonics
### Project Description:
One of the most promising applications of variational quantum algorithms is the study of condensed matter phenomena, such as quan…
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# Abstract
The analysis of over-parameterised Artificial Neural Networks (ANNs) reveal that the optimisation (training) process only slightly changes the parameters of the model. This allows one to a…
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### Description
The qiskit-neko project: https://github.com/mtreinish/qiskit-neko is a new effort to add a proper integration test suite to the overall qiskit project. It's designed to be run in CI t…
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The idea is inspired by this paper ( https://arxiv.org/pdf/2202.00555.pdf)!
### Quick Summary:
The authors of this claim that they can make the Autoencoder learn error correction routines. The pape…
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### Feature details
Hi Pennylane developers! I'm opening this feature request to propose the implementation of the novel ***Quantum Dropout technique*** in Pennylane. This feature request is motivate…
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When the `conditional` argument is `False`, i.e. when dynamic circuits are not used, a `cz` gate should be applied to adjacent qubits to perform the pooling function. The adjacent qubits must be in pa…
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# Abstract
Using quantum generative neural networks for estimating the probability of being admitted to university based on CSAT(Korean SAT) score.
# Description
South Korea has the two typ…
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### Expected behavior
Hi,
I have a simple example using "default.qubit" device and I would like to specify c_dtype to be {np.complex64, np.complex128}
### Actual behavior
I have 2 problems:
1.…