I am looking some good paper and coding tutorial for variational quantum eigensolver. It would be great if someone can guide me on this?
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$\begingroup$ Did you take a look at this? $\endgroup$– FDGodCommented Dec 7 at 5:41
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$\begingroup$ Also, what exactly are IBM and PennyLane tutorials lacking? $\endgroup$– FDGodCommented Dec 7 at 5:42
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$\begingroup$ Thank you for the response @FDGod. These tutorials are not good and are too abstract. Really not useful. I am looking for some well written paper or tutorial by which I can thoroughly understand the concept of VQE. $\endgroup$– ManuCommented Dec 7 at 6:17
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$\begingroup$ And what about the first link and paper linked therein? $\endgroup$– FDGodCommented Dec 7 at 6:22
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$\begingroup$ Yes, the paper in the first line is good. @FDGod. $\endgroup$– ManuCommented Dec 7 at 15:56
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3 Answers
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Adding summarizing to what already said in the comments and other answers -
Reviews
- The Variational Quantum Eigensolver: a review of methods and best practices (This is a long review on VQA)
- Variational quantum state eigensolver
- Variational quantum algorithms (Comprehensive review on VQE)
- Noisy intermediate-scale quantum algorithms
- VQE method: a short survey and recent developments
- Variational quantum algorithms: fundamental concepts, applications and challenges
Tutorials
- Variational quantum algorithms (IBM)
- Variational quantum eigensolver (IBM)
- More exercises based on Qiskit available in github rep
There are bunch of YouTube lectures on qiskit channel like this
Related
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I think this is a good qiskit tutorial. Also, this is a book I got to know through this question, it described a fermionic creation/annihilation operators and fermion to qubit mappings in an easy way to understand followed by a coding.
answered Dec 7 at 6:36
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There is an entire book on how to use the VQE and QAOA to solve combinatorial optimization problems:
Hands-On Quantum Machine Learning With Python: Volume 2: Combinatorial Optimization
It thoroughly goes through all the concepts the VQE builds on
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