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I'm doing open dynamics simulations with the density matrix represented as vectorized MPO as described in this [publication](https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.114.220601). The…
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Sorry to bother you, I am recently been in the area of compression, take VARIATIONAL IMAGE COMPRESSION WITH A SCALE HYPERPRIOR as example, what is the meaning of each element in y_likelihoods matrix(…
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The current tutorials cover a majority of MCMC. Could we get one for variational inference? The edward tutorial on Supervised Learning shows how to run inference using Kullback-Leibler divergence. It …
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### Team Name:
Team X
(Slimane Thabet & Jonas Landman)
### Project Description:
In this project, we developed a variational quantum algorithm for **Natural Language Processing**. Our goal …
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To support VI we need to decide what different aspect we should implement.
## Data structure
We probably need a special data structure for VI results.
It could contain:
- posterior mean
- p…
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# Abstract
Eigendecompositions have a large variety of applications in physics, biology, mechanical engineering, ML, etc. To find the exact Eigendecomposition of a quantum system one has to employ Ha…
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Hello there,
_I'm not sure if this is a proper place to ask such a question - if not, please guide me to a place where I can find some help._
Is it possible now to implement Variational Autoencod…
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As discussed today, it may be a good idea to incorporate some specialized/customized minimizers for variational circuits.
Here I leave some references where they are introduced or benchmarked.
[…
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https://arxiv.org/abs/1312.6114
TMats updated
7 years ago