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A Block-Ring connected Topology of Parameterized Quantum Circuits

arXiv 2308.10791 ↗First posted 21 Aug 2023quant-ph cs.AIcited by 1

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Abstract (arXiv)

It is essential to select efficient topology of parameterized quantum circuits (PQCs) in variational quantum algorithms (VQAs). However, there are problems in current circuits, i.e. optimization difficulties caused by too many parameters or performance is hard to guarantee. How to reduce the number of parameters (number of single-qubit rotation gates and 2-qubit gates) in PQCs without reducing the performance has become a new challenge. To solve this problem, we propose a novel topology, called Block-Ring (BR) topology, to construct the PQCs. This topology allocate all qubits to several blocks, all-to-all mode is adopt inside each block and ring mode is applied to connect different blocks. Compared with the pure all-to-all topology circuits which own the best power, BR topology have similar performance and the number of parameters and 2-qubit gate reduced from 0(n^2) to 0(mn) , m is a hyperparameter set by ourselves. Besides, we compared BR topology with other topology circuits in terms of expressibility and entangling capability. Considering the effects of different 2-qubit gates on circuits, we also make a distinction between controlled X-rotation gates and controlled Z-rotation gates. Finally, the 1- and 2-layer configurations of PQCs are taken into consideration as well, which shows the BR's performance improvement in the condition of multilayer circuits.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 4 of its 17 references that are in the map. First posted on arXiv 21 Aug 2023.

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4 of 17 references.

References · 4

  1. 2018Supervised learning with quantum enhanced feature spacescited by 665
  2. 2018Barren plateaus in quantum neural network training landscapescited by 630
  3. 2018Quantum generative adversarial networkscited by 128
  4. 2020Absence of Barren Plateaus in Quantum Convolutional Neural Networkscited by 125

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