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The variational quantum eigensolver (VQE) is arguably the most common variational quantum algorithm. As every other quantum algorithm, it can be done easily with Classiq. The goal of this issue is to …
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There are some small differences between all the existing tutorials that we should clean up.
All the tutorials currently on learning:
- should use the same wording for each pattern step heading
- sh…
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### URL to the relevant documentation
Source: https://github.com/Qiskit/documentation/blob/main/tutorials/variational-quantum-eigensolver/vqe.ipynb
Webpage: https://learning.quantum.ibm.com/tutori…
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### URL to the relevant documentation
https://learning.quantum.ibm.com/tutorial/variational-quantum-eigensolver
https://learning.quantum.ibm.com/tutorial/grovers-algorithm
https://learning.quantu…
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**Submitting author:** @josh146 (Joshua Izaac)
**Repository:** https://github.com/PennyLaneAI/catalyst
**Branch with paper.md** (empty if default branch): joss-paper
**Version:** v0.7.0
**Editor:** @d…
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Hi!
I'm using the `approximate` function with the `VUMPS` algorithm and it seems to be giving a different result every time. I'm not sure whether there is a call somewhere to a randomized function (m…
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## Issue Description
Implement Schrodinger-Heisenberg quantum variational eigensolver (SHVQE) with quantum architecture search.
## Proposed Solution
I have already implemented it as a script …
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Variational Quantum Eigensolver.
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### Github repo
https://github.com/JoelHBierman/SSVQE
### Description
The SSVQE algorithm (https://arxiv.org/abs/1810.09434) is a generalization of VQE to find low-lying eigenstates of a Herm…
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Hello,
I am using pyscf to produce 1- and 2-electron integrals, but the latter have some signs flipped from run to run.
Code:
```
> from pyscf import scf, ao2mo, gto
> from openfermion.ops.re…