add advantages/disadvantages to various QAS types

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Noa Aarts 2025-12-08 17:23:19 +01:00
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2 changed files with 69 additions and 7 deletions

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@ -148,7 +148,7 @@
url = {https://arxiv.org/abs/2402.13754},
}
@article{architecture-search,
@article{supernet-qas,
author = {Du, Yuxuan and Huang, Tao and You, Shan and Hsieh, Min-Hsiu and
Tao, Dacheng},
title = {Quantum circuit architecture search for variational quantum
@ -456,3 +456,19 @@
primaryClass = {quant-ph},
url = {https://arxiv.org/abs/2509.05804},
}
@article{Zhang_2022,
doi = {10.1088/2058-9565/ac87cd},
url = {https://doi.org/10.1088/2058-9565/ac87cd},
year = {2022},
month = {aug},
publisher = {IOP Publishing},
volume = {7},
number = {4},
pages = {045023},
author = {Zhang, Shi-Xin and Hsieh, Chang-Yu and Zhang, Shengyu and Yao, Hong},
title = {Differentiable quantum architecture search},
journal = {Quantum Science and Technology},
abstract = {Quantum architecture search (QAS) is the process of automating architecture engineering of quantum circuits. It has been desired to construct a powerful and general QAS platform which can significantly accelerate current efforts to identify quantum advantages of error-prone and depth-limited quantum circuits in the NISQ era. Hereby, we propose a general framework of differentiable quantum architecture search (DQAS), which enables automated designs of quantum circuits in an end-to-end differentiable fashion. We present several examples of circuit design problems to demonstrate the power of DQAS. For instance, unitary operations are decomposed into quantum gates, noisy circuits are re-designed to improve accuracy, and circuit layouts for quantum approximation optimization algorithm are automatically discovered and upgraded for combinatorial optimization problems. These results not only manifest the vast potential of DQAS being an essential tool for the NISQ application developments, but also present an interesting research topic from the theoretical perspective as it draws inspirations from the newly emerging interdisciplinary paradigms of differentiable programming, probabilistic programming, and quantum programming.}
}