Quantum Circuit Evolution on NISQ Devices-Reference-Cited by-同舟云学术

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Quantum Circuit Evolution on NISQ Devices

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Franken Lukas¹,Georgiev Bogdan²,Mucke Sascha³,Wolter Moritz⁴,Heese Raoul⁵,Bauckhage Christian⁴,Piatkowski Nico⁶

Affiliation:

1. University of Edinburgh

2. Google DeepMind

3. TU Dortmund University and Machine Learning Rhine-Ruhr (ML2R)

4. University of Bonn

5. Fraunhofer ITWM, Kaiserslautern,Germany

6. Fraunhofer IAIS, Sankt Augustin, Germany and Machine Learning Rhine-Ruhr (ML2R)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870216/9870201/09870269.pdf?arnumber=9870269

Reference40 articles.

1. Using models to improve optimizers for variational quantum algorithms

2. Solvable Model of a Spin-Glass

3. Elementary gates for quantum computation

4. Evolving Neural Networks through Augmenting Topologies

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AutoQML: Automatic generation and training of robust quantum-inspired classifiers by using evolutionary algorithms on grayscale images;Expert Systems with Applications;2024-06

2. Simulating the operation of a quantum computer in a dissipative environment;The Journal of Chemical Physics;2024-02-01

3. Quantum Deep Reinforcement Learning for Robot Navigation Tasks;IEEE Access;2024

4. Real-Part Quantum Support Vector Machines;Lecture Notes in Computer Science;2024

5. Monte Carlo graph search for quantum circuit optimization;Physical Review A;2023-12-19

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