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in my own benchmarking lib I'm introducing `preventOptimizeOut` based on `volatileLoad` to:
* prevent optimizing out results
* have minimum impact on runtime performace
* be as simple to use as pos…
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#### Issue description
I am trying to run some experiments with Variational Quantum Circuits.
Curiously training seems to be consistently **slower** when done on GPU, irrelevant of the used back…
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Hi all,
I am working on optimizing a black box function. The problem has 52 variables.
PyNOMAD on running for around 2.5 hours (BB function evaluation is costly) is giving inferior answers as comp…
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FLAML offers `metric_constraints`, which are supposed to guide the optimizer towards narrowing (as much as possible) the search space to a region specified by the user. [Here](https://github.com/micro…
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This issue keeps track of the support for constraints in GPFlowOpt.
Support for expensive constraints will be initially added using the Probability of Feasbility (PoF). With the acquisition functio…
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Is there a way to resume the optimization after if is interrupted. Resume means that past trial histories will be considered by the optimizer.
I also thought about saving the parameters and its obj…
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Hi,
It seems that with your current documentation it looks hard (or impossible) to get access to the "fitted" model to make posterior predictions at arbitrary points without running the Markov chai…
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This is a tracking issue for the RFC "The optimize attribute" (rust-lang/rfcs#2412).
**Steps:**
- [x] Implement the RFC. Partially done, see https://github.com/rust-lang/rust/issues/54882#issuec…
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![want-you](https://user-images.githubusercontent.com/8080177/206915216-49011ad2-0374-492d-809c-3f5f94b9f100.png)
I would like to know how people are using this software. As I have developed a lot …
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### Feature details
For good reason, the autograd features of pennylane don't work with circuits that conclude with `qml.sample()`. However, there are many circumstances wherein one would want to d…