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I think that a function to generate parameterized GGM matrices will be useful especially on TFQ for the PQCs (they are used in [Quantum Convolutional Neural Networks (arXiv:1810.03787v2)](https://arxi…
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Project name: Implementation of Quantum Reservoir Computing
Team Name: QHackers2023
Which challenges would you like to submit your project for?
Quantum Computing Today
Power-up Plan:
AWS C…
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Implement the well-known Blossom algorithm for maximum weight (perfect) matching in generic graphs.
- wiki link: https://en.wikipedia.org/wiki/Blossom_algorithm
- many simple (not-optimized) imple…
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### Subroutines, ideas, foundational material.
- Quantum algorithm for finding the minimum https://arxiv.org/abs/quant-ph/9607014
- Quantum algorithms revisited https://arxiv.org/pdf/quant-ph/97080…
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**Is your feature request related to a problem? Please describe.**
To efficiently simulate systems beyond a few dozen qubits, alternative methods are necessary due to the exponential increase in co…
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Project Name: ImpQAlgo4Qchem
Team Name: Tensor Algebra
Which challenges would you like to submit your project for?
Quantum Chemistry Challenge
Quantum computing today!
NVIDIA Challenge
Pow…
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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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Claro, aquí te proporciono una guía básica sobre seguridad web:
Utilizar HTTPS: Es esencial asegurarse de que tu sitio web esté protegido con HTTPS, lo que significa que se utiliza el protocolo SSL/T…
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Project Name:
Quantum Neural Network Autoencoder
Team Name:
Quantum Synapse
Which challenges would you like to submit your project for?
Hybrid Quantum-Classical Computing Challenge
TBD
Pr…
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It would be great if QuTiP, Quantum Toolbox in Python (http://qutip.org, https://github.com/qutip), could be added to the score cards in https://qosf.org/evaluation/.
While its core is quantum opt…