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                  [4]  Li  H,  Han  ZA,  Lu  K,  Liu  SJ,  Ju  MM.  Comprehensive  SWAP  optimization  strategy  for  improving  initial  qubit  mapping.  Computer
                     Engineering and Applications, 2024, 60(14): 66–73 (in Chinese with English abstract). [doi: 10.3778/j.issn.1002-8331.2310-0211]
                  [5]  Wu TA, Jiang YJ, Fang SY. A robust quantum layout synthesis algorithm with a qubit mapping checker. In: Proc. of the 2022 IEEE/ACM
                     Int’l Conf. on Computer Aided Design. San Diego: IEEE, 2022. 1–9.
                  [6]  Christensen M, Tzimpragos G, Kringen H, Volk J, Sherwood T, Hardekopf B. PyLSE: A pulse-transfer level language for superconductor
                     electronics. In: Proc. of the 43rd ACM SIGPLAN Int’l Conf. on Programming Language Design and Implementation. San Diego: ACM,
                     2022. 671–686. [doi: 10.1145/3519939.3523438]
                  [7]  Gulwani S, Polozov O, Singh R. Program synthesis. Foundations and Trends® in Programming Languages, 2017, 4(1–2): 1–119. [doi: 10.
                     1561/2500000010]
                  [8]  Wang CL, Cheung A, Bodik R. Synthesizing highly expressive SQL queries from input-output examples. In: Proc. of the 38th ACM
                     SIGPLAN  Conf.  on  Programming  Language  Design  and  Implementation.  Barcelona:  ACM,  2017.  452–466.  [doi:  10.1145/3062341.
                     3062365]
                  [9]  Zhang J, Li Y, Peng X, Zhao WY. Inductive SQL synthesis with positive and negative tuples. Ruan Jian Xue Bao/Journal of Software,
                     2023, 34(9): 4132–4152 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/6646.htm [doi: 10.13328/j.cnki.jos.006646]
                 [10]  Feser JK, Chaudhuri S, Dillig I. Synthesizing data structure transformations from input-output examples. ACM SIGPLAN Notices, 2015,
                     50(6): 229–239. [doi: 10.1145/2813885.2737977]
                 [11]  Kang  CG,  Oh  H.  Modular  component-based  quantum  circuit  synthesis.  Proc.  of  the  ACM  on  Programming  Languages,  2023,
                     7(OOPSLA1): 87. [doi: 10.1145/3586039]
                 [12]  Zhang  X.  Research  and  implementation  of  quantum  programming  and  circuit  optimization  [MS.  Thesis].  Chongqing:  Chongqing
                     University, 2019 (in Chinese with English abstract). [doi: 10.27670/d.cnki.gcqdu.2019.002616]
                 [13]  Xie L, Zhai JD. Survey on quantum computing system software. Ruan Jian Xue Bao/Journal of Software, 2024, 35(1): 1–18 (in Chinese
                     with English abstract). http://www.jos.org.cn/1000-9825/6908.htm [doi: 10.13328/j.cnki.jos.006908]
                 [14]  Jang E, Choi S, Ro WW. Quixote: Improving fidelity of quantum program by independent execution of controlled gates. In: Proc. of the
                     60th ACM/IEEE Design Automation Conf. San Francisco: IEEE, 2023. 1–6. [doi: 10.1109/DAC56929.2023.10247757]
                 [15]  Aleksandrowicz G, Alexander T, Barkoutsos P, et al. Qiskit: An open-source framework for quantum computing. 2019. https://zenodo.
                     org/records/2562111
                 [16]  Omole V, Tyagi A, Carey C, Hanus A, Hancock A, Garcia A, Shedenhelm J, Cowen J. Cirq: A Python framework for creating, editing,
                     and invoking quantum circuits. 2020. https://sdmay20-08.sd.ece.iastate.edu/docs/Design-Document-v2.pdf
                 [17]  Iten R, Colbeck R, Kukuljan I, Home J, Christandl M. Quantum circuits for isometries. Physical Review A, 2016, 93(3): 032318. [doi: 10.
                     1103/PhysRevA.93.032318]
                 [18]  Shende VV, Bullock SS, Markov IL. Synthesis of quantum logic circuits. In: Proc. of the 2005 Asia and South Pacific Design Automation
                     Conf. Shanghai: IEEE, 2005. 272–275. [doi: 10.1109/ASPDAC.2005.1466172]
                 [19]  Tan SW, Lang CL, Xiang L, Wang SD, Jia XH, Tan ZQ. QuCT: A framework for analyzing quantum circuit by extracting contextual and
                     topological features. In: Proc. of the 56th IEEE/ACM Int’l Symp. on Microarchitecture. Toronto: IEEE, 2023. 494–508.
                 [20]  Paradis  A,  Dekoninck  J,  Bichsel  B,  Vechev  M.  Synthetiq:  Fast  and  versatile  quantum  circuit  synthesis.  Proc.  of  the  ACM  on
                     Programming Languages, 2024, 8(OOPSLA1): 96. [doi: 10.1145/3649813]
                 [21]  Davis MG, Smith E, Tudor A, Sen K, Siddiqi I, Iancu C. Towards optimal topology aware quantum circuit synthesis. In: Proc. of the 2020
                     IEEE Int’l Conf. on Quantum Computing and Engineering. Denver: IEEE, 2020. 223–234. [doi: 10.1109/QCE49297.2020.00036]
                 [22]  Sutton BD. Computing the complete CS decomposition. Numerical Algorithms, 2009, 50(1): 33–65. [doi: 10.1007/s11075-008-9215-6]
                 [23]  Dawson CM, Nielsen MA. The Solovay-Kitaev algorithm. Quantum Information & Computation, 2006, 6(1): 81–95.
                 [24]  Jiang M. Channel-state duality. Physical Review A, 2013, 87(2): 022310. [doi: 10.1103/PhysRevA.87.022310]
                 [25]  Schutski R, Lykov D, Oseledets I. Adaptive algorithm for quantum circuit simulation. Physical Review A, 2020, 101(4): 042335. [doi: 10.
                     1103/PhysRevA.101.042335]
                 [26]  Bocharov A, Roetteler M, Svore KM. Efficient synthesis of universal repeat-until-success quantum circuits. Physical Review Letters,
                     2015, 114(8): 080502. [doi: 10.1103/PhysRevLett.114.080502]
                 [27]  Soeken M, Miller DM, Drechsler R. Quantum circuits employing roots of the pauli matrices. Physical Review A, 2013, 88(4): 042322.
                     [doi: 10.1103/PhysRevA.88.042322]
                 [28]  Malvetti E, Iten R, Colbeck R. Quantum circuits for sparse isometries. Quantum, 2021, 5: 412. [doi: 10.22331/q-2021-03-15-412]
                 [29]  Peham  T,  Burgholzer  L,  Wille  R.  Equivalence  checking  paradigms  in  quantum  circuit  design:  A  case  study.  In:  Proc.  of  the  59th
                     ACM/IEEE Design Automation Conf. San Francisco: ACM, 2022. 517–522. [doi: 10.1145/3489517.3530480]
                 [30]  Li ZK, Peng JJ, Mei YX, Lin SN, Wu Y, Padon O, Jia ZH. Quarl: A learning-based quantum circuit optimizer. Proc. of the ACM on
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