Resource-Efficient Fault-Tolerant Quantum Computing Architectures Based on Surface Codes with Dynamic Error Suppression
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Fault Tolerance, Resource Efficiency, Surface Codes
Abstract
Quantum computing has the potential to revolutionize industries by solving complex problems that are intractable for classical computers. However, achieving fault tolerance in large-scale quantum systems remains a significant challenge due to the high resource overhead required for error correction. Surface codes, a leading quantum error correction technique, provide robust fault tolerance but demand a large number of physical qubits. This research explores a resource-efficient approach by integrating dynamic error suppression with surface codes to reduce qubit overhead while maintaining fault tolerance in quantum computing architectures. The objective of this study is to investigate how dynamic error suppression can enhance the performance of surface code-based quantum computing architectures by minimizing resource usage and improving system reliability. The research employs computational simulations to model quantum systems under varying error rates, qubit numbers, and dynamic error correction strategies. The results demonstrate that combining dynamic error suppression with surface codes significantly reduces the physical qubit overhead while maintaining or improving fault tolerance. The proposed architecture achieves higher efficiency and robustness in large-scale systems, especially at higher error rates. In conclusion, this study offers a practical solution for scaling quantum computing systems by optimizing resource usage without compromising fault tolerance. These findings have important implications for the development of efficient, fault-tolerant quantum computers suitable for real-world applications.
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References
Basmadjian, R., & Paler, A. (2023). Queuing theory models for (fault-tolerant) quantum circuits: Analysis and optimization. In Quantum comput.: Circuits, syst., autom. And appl. (pp. 141–151). Springer International Publishing; Scopus. https://doi.org/10.1007/978-3-031-37966-6_8
Biswal, L., Bhattacharjee, A., Das, R., Thirunavukarasu, G., & Rahaman, H. (2019). Quantum Domain Design of Clifford+T-Based Bidirectional Barrel Shifter. In S. Rajaram, N. B. Balamurugan, D. Gracia Nirmala Rani, & V. Singh (Eds.), Commun. Comput. Info. Sci. (Vol. 892, pp. 606–618). Springer Verlag service@springer.de; Scopus. https://doi.org/10.1007/978-981-13-5950-7_50
Biswal, L., Maity, N. P., & Rahaman, H. (2023). Quantum Fault-Tolerant Implementation of a Majority-Based 4-Bit BCD Adder. In Lect. Notes Electr. Eng. (Vol. 1004, pp. 33–45). Springer Science and Business Media Deutschland GmbH; Scopus. https://doi.org/10.1007/978-981-99-0055-8_4
Brookfield, A. E., Ajami, H., Carroll, R. W. H., Tague, C., Sullivan, P. L., & Condon, L. E. (2023). Recent advances in integrated hydrologic models: Integration of new domains. Journal of Hydrology, 620. Scopus. https://doi.org/10.1016/j.jhydrol.2023.129515
Chandrasekaran, V., & Levine, A. (2022). Quantum error correction in SYK and bulk emergence. Journal of High Energy Physics, 2022(6). Scopus. https://doi.org/10.1007/JHEP06(2022)039
Cowtan, A., & Majid, S. (2022). Quantum double aspects of surface code models. Journal of Mathematical Physics, 63(4). Scopus. https://doi.org/10.1063/5.0063768
Duivenvoorden, K., Breuckmann, N. P., & Terhal, B. M. (2019). Renormalization Group Decoder for a Four-Dimensional Toric Code. IEEE Transactions on Information Theory, 65(4), 2545–2562. Scopus. https://doi.org/10.1109/TIT.2018.2879937
Fan, Z., Tian, C., Xiao, B., Guo, X., & Ma, H. (2025). Quantum error correction with Kolmogorov–Arnold network for rotated surface codes decoding. Quantum Information Processing, 24(7). Scopus. https://doi.org/10.1007/s11128-025-04826-2
Fujisaki, J., Maruyama, K., Oshima, H., Sato, S., Sakashita, T., Takeuchi, Y., & Fujii, K. (2023). Quantum error correction with an Ising machine under circuit-level noise. Physical Review Research, 5(4). Scopus. https://doi.org/10.1103/PhysRevResearch.5.043261
Goings, J. J., White, A. F., Lee, J., Tautermann, C. S., Degroote, M., Gidney, C., Shiozaki, T., Babbush, R., & Rubin, N. C. (2022). Reliably assessing the electronic structure of cytochrome P450 on today’s classical computers and tomorrow’s quantum computers. Proceedings of the National Academy of Sciences of the United States of America, 119(38). Scopus. https://doi.org/10.1073/pnas.2203533119
Gowda, M. G., & Sarvepalli, P. K. (2020). Quantum computation with generalized dislocation codes. Physical Review A, 102(4). Scopus. https://doi.org/10.1103/PhysRevA.102.042616
Ha, J., Lee, J., & Heo, J. (2024). Resource analysis and modifications of quantum computing with noisy qubits for elliptic curve discrete logarithms. Scientific Reports, 14(1). Scopus. https://doi.org/10.1038/s41598-024-54434-w
Ji, N.-H., Sun, H.-Q., Xiao, B., Song, P.-L., & Ma, H. (2025). Quantum decoder design for subsystem surface code based on multi-head graph attention and edge weighting. Chinese Physics B, 34(2). Scopus. https://doi.org/10.1088/1674-1056/ada1c7
Jin, K.-S., & Cha, G. (2023). QPlayer: Lightweight, scalable, and fast quantum simulator. ETRI Journal, 45(2), 304–317. Scopus. https://doi.org/10.4218/etrij.2021-0442
Liang, Z., Yang, F., Yi, Z., & Wang, X. (2025). Quantum XYZ cyclic codes for biased noise. Physical Review A, 112(1), 012402-012402–012414. Scopus. https://doi.org/10.1103/6qbg-xslr
Lutz, J. J., Jensen, D. S., Hubbard, J. A., Dewyer, A. L., & Zádor, J. (2024). Relativistic coupled-cluster simulation of the kinetics of the hydrolysis of uranium hexafluoride. Molecular Physics. Scopus. https://doi.org/10.1080/00268976.2024.2373345
Makkonen, I. (2025). Quantum Monte Carlo in Positron Physics. In Solid State Phenomena (Vol. 373, pp. 155–164). Trans Tech Publications Ltd; Scopus. https://doi.org/10.4028/p-pU83Bq
McEwen, M., Kafri, D., Chen, Z., Atalaya, J., Satzinger, K. J., Quintana, C., Klimov, P. V., Sank, D., Gidney, C., Fowler, A. G., Arute, F., Arya, K., Buckley, B. B., Burkett, B., Bushnell, N., Chiaro, B., Collins, R., Demura, S., Dunsworth, A., … Barends, R. (2021). Removing leakage-induced correlated errors in superconducting quantum error correction. Nature Communications, 12(1). Scopus. https://doi.org/10.1038/s41467-021-21982-y
Mohammad, S. I., Al-Daoud, K., Qraini, B. A., Khanfar, I. A. A., & Vasudevan, A. (2025). Quantum Error Correction with Surface Code Analysis on Quantum Computing platform. Applied Mathematics and Information Sciences, 19(2), 423–435. Scopus. https://doi.org/10.18576/amis/190216
Neukart, F., Marx, E., Vinokur, V., & Titus, J. (2025). QMM-Enhanced Error Correction: Demonstrating Reversible Imprinting and Retrieval for Robust Quantum Computation. Advanced Quantum Technologies, 8(9). Scopus. https://doi.org/10.1002/qute.202500262
Roffe, J. (2019). Quantum error correction: An introductory guide. Contemporary Physics, 60(3), 226–245. Scopus. https://doi.org/10.1080/00107514.2019.1667078
Rolander, A., Kinos, A., & Walther, A. (2022). Quantum error correction in the noisy intermediate-scale quantum regime for sequential quantum computing. Physical Review A, 105(6). Scopus. https://doi.org/10.1103/PhysRevA.105.062604
Sethi, S., & Baker, J. M. (2025). RESCQ: Realtime Scheduling for Continuous Angle Quantum Error Correction Architectures. Int Conf Archit Support Program Lang Oper Syst ASPLOS, 2, 1028–1043. Scopus. https://doi.org/10.1145/3676641.3716018
Strikis, A., Benjamin, S. C., & Brown, B. J. (2023). Quantum Computing is Scalable on a Planar Array of Qubits with Fabrication Defects. Physical Review Applied, 19(6). Scopus. https://doi.org/10.1103/PhysRevApplied.19.064081
Ueno, Y., Kondo, M., Tanaka, M., Suzuki, Y., & Tabuchi, Y. (2022). QULATIS: A Quantum Error Correction Methodology toward Lattice Surgery. Proc. Int. Symp. High Perform. Comput. Archit., 2022-April, 274–287. Scopus. https://doi.org/10.1109/HPCA53966.2022.00028
Ye, M., & Delfosse, N. (2025). Quantum error correction for long chains of trapped ions. Quantum, 9. Scopus. https://doi.org/10.22331/q-2025-11-27-1920
Zalivako, I. V., Semenin, N. V., Zhadnov, N. O., Galstyan, K. P., Kamenskikh, P. A., Smirnov, V. N., Korolkov, A. E., Sidorov, P. L., Borisenko, A. S., Anosov, Yu. P., Semerikov, I. A., Khabarova, K. Yu., & Kolachevsky, N. N. (2025). Quantum computing with trapped ions: Principles, achievements, and prospects. Physics-Uspekhi, 68(6), 552–583. Scopus. https://doi.org/10.3367/UFNe.2024.12.039884
Zobrist, N., Zhu, N., Zhang, Y., Zalcman, A., Young, G., Yosri, N., Yoo, J., Ying, B., Yeh, P., Yao, Z. J., Xing, C., Woo, B. W. K., Wong, K., White, T., Weidel, T., Weber, K., Ware, B., Wang, S. X., Waltman, S., … Acharya, R. (2025). Quantum error correction below the surface code threshold. Nature, 638(8052), 920–926. Scopus. https://doi.org/10.1038/s41586-024-08449-y
