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### What is your issue?
Hi everyone.
I am using quimb to optimize QAOA circuit. In the documentation, there is the example of " Bayesian Optimizing QAOA Circuit Energy" doing that for 3-reg grap…
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### Is your feature request related to a problem?
At the moment, as far as I can tell, the tensor network objects don't have any implementations for `__eq__`, which results in python using the standa…
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### What should we add?
Given the demand for robust coupling with PyTorch, we propose to enhance the module https://github.com/qiskit-community/qiskit-machine-learning/blob/60f2c2e1b6469b0ba878d202…
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**Describe the bug**
I have implemented SNPE_C with a uniform prior and a sine simulator with noise. However, it randomly won't sample/sample very slowly from the posterior, even after the network co…
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### System Info
- CPU architecture: x86_64
- CPU/Host memory size: 32GB DDR4
- GPU properties
- GPU name: RTX 3070 Ti
- GPU memory size: 8GB
- Libraries
- TensorRT-LLM version: 0.12.0.d…
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I was wondering if there exists functionality in `cotengra` or `quimb` or `opt_einsum` to parse a file for the purposes of calculating contraction costs alone, without needing or caring about the elem…
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Keywords: tensor network, MPS, DMRG, iDMRG, TEBD, iTEBD, PEPS, MERA, TRG
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We add the support for the benchmarking of tensor network backend in simulation. First quimb, then cuQuantum.
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# Abstract
[ZX calculus](zxcalculus.com) is a pictorial language for circuit rewriting. It is an example of a tensor network method. A circuit is decomposed into a network of _spiders_; for example, …
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Hi,
First of all, thank you for your excellent work on this project. I am currently working with the predictor.py file and have a question regarding the input data for the predictor model.
Specific…