Advances in Quantum Computation and Quantum Information

A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Physics".

Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 2711

Special Issue Editor


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Guest Editor
Russian Quantum Center, Skolkovo, Moscow 121205, Russia
Interests: quantum computing; statistical mechanics; quantum optics; quantum information

Special Issue Information

Dear Colleagues,

At present, an international effort exists to use quantum mechanical systems in everyday life. The main example of this, is the development of the quantum computer and related quantum devices, still in their early days, which promise to provide answers to problems impossible to approach by classical computation.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

  • The study of finite and continuous quantum systems suitable for the definition of qubits or qudits.
  • Direct applications either theoretical, experimental, or numerical, relevant in the context of quantum information and quantum computing.
  • Error correction techniques.
  • Gate and channel engineering.
  • Thermal and decoherence effects.
  • Optimization problems.
  • Quantum tomography and reconstruction techniques.
  • Quantum algorithms. 

I look forward to receiving your contributions. 

Dr. Julio López-Saldívar
Guest Editor

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Keywords

  • quantum computing
  • quantum information
  • quantum systems
  • quantum tomography and reconstruction techniques
  • quantum algorithms

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Published Papers (1 paper)

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Research

17 pages, 5771 KiB  
Article
Quantum Circuit Template Matching Optimization Method for Constrained Connectivity
by Xiaofeng Gao, Zhijin Guan, Shiguang Feng and Yibo Jiang
Axioms 2023, 12(7), 687; https://doi.org/10.3390/axioms12070687 - 14 Jul 2023
Cited by 1 | Viewed by 1568
Abstract
The execution of quantum algorithms requires two key considerations. On the one hand, it should meet the connectivity constraint requirements of quantum circuit mapping for quantum architectures, and on the other hand, it needs to consider reducing the probability of errors in the [...] Read more.
The execution of quantum algorithms requires two key considerations. On the one hand, it should meet the connectivity constraint requirements of quantum circuit mapping for quantum architectures, and on the other hand, it needs to consider reducing the probability of errors in the execution of quantum circuits as much as possible. This paper proposes a novel optimization technique based on template matching that to satisfy both requirements. The template matching optimization method can significantly reduce the number of gates in a quantum circuit and further enhance its practicality. It stands as advanced optimization technology available today. Our method optimizes quantum logic circuits mapped onto quantum architecture by initially selecting their linear substructure. We then zone the circuit according to the gate dependency graph and optimize each block through template matching. Finally, we reorganize the circuit to obtain the optimized version as the final result. Our proposed method is amenable to various quantum architectures. To evaluate its efficacy, we conduct a comparative analysis with the t|ket⟩ and Qiskit compiler using a set of benchmark test circuits. Specifically, compare to the t|ket⟩ compiler method, the highest average optimization rate of our method can reach 25.75%. Compare with the Qiskit compiler method, the highest average optimization rate can reach 32.72%. Overall, our approach has significant optimization advantages. Full article
(This article belongs to the Special Issue Advances in Quantum Computation and Quantum Information)
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