Enabling Multi-programming Mechanism for Quantum Computing in the NISQ Era

Siyuan Niu1 and Aida Todri-Sanial2,3

1LIRMM, University of Montpellier, 34095 Montpellier, France
2LIRMM, University of Montpellier, 34095 Montpellier, CNRS, France
3Eindhoven University of Technology, 5612 AE, Eindhoven, Netherlands

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Abstract

NISQ devices have several physical limitations and unavoidable noisy quantum operations, and only small circuits can be executed on a quantum machine to get reliable results. This leads to the quantum hardware under-utilization issue. Here, we address this problem and improve the quantum hardware throughput by proposing a Quantum Multi-programming Compiler (QuMC) to execute multiple quantum circuits on quantum hardware simultaneously. This approach can also reduce the total runtime of circuits. We first introduce a parallelism manager to select an appropriate number of circuits to be executed at the same time. Second, we present two different qubit partitioning algorithms to allocate reliable partitions to multiple circuits – a greedy and a heuristic. Third, we use the Simultaneous Randomized Benchmarking protocol to characterize the crosstalk properties and consider them in the qubit partition process to avoid the crosstalk effect during simultaneous executions. Finally, we enhance the mapping transition algorithm to make circuits executable on hardware using a decreased number of inserted gates. We demonstrate the performance of our QuMC approach by executing circuits of different sizes on IBM quantum hardware simultaneously. We also investigate this method on VQE algorithm to reduce its overhead.

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► References

[1] Abdullah Ash-Saki, Mahabubul Alam, and Swaroop Ghosh. Analysis of crosstalk in nisq devices and security implications in multi-programming regime. In Proceedings of the ACM/​IEEE International Symposium on Low Power Electronics and Design, pages 25–30, 2020a. https:/​/​doi.org/​10.1145/​3370748.3406570.
https:/​/​doi.org/​10.1145/​3370748.3406570

[2] Abdullah Ash-Saki, Mahabubul Alam, and Swaroop Ghosh. Experimental characterization, modeling, and analysis of crosstalk in a quantum computer. IEEE Transactions on Quantum Engineering, 2020b. https:/​/​doi.org/​10.1109/​TQE.2020.3023338.
https:/​/​doi.org/​10.1109/​TQE.2020.3023338

[3] Radoslaw C Bialczak, Markus Ansmann, Max Hofheinz, Erik Lucero, Matthew Neeley, AD O’Connell, Daniel Sank, Haohua Wang, James Wenner, Matthias Steffen, et al. Quantum process tomography of a universal entangling gate implemented with josephson phase qubits. Nature Physics, 6 (6): 409–413, 2010. https:/​/​doi.org/​10.1038/​nphys1639.
https:/​/​doi.org/​10.1038/​nphys1639

[4] Carlos Bravo-Prieto, Ryan LaRose, Marco Cerezo, Yigit Subasi, Lukasz Cincio, and Patrick Coles. Variational quantum linear solver: A hybrid algorithm for linear systems. Bulletin of the American Physical Society, 65, 2020.
arXiv:1909.05820

[5] A Robert Calderbank and Peter W Shor. Good quantum error-correcting codes exist. Physical Review A, 54 (2): 1098, 1996. https:/​/​doi.org/​10.1103/​PhysRevA.54.1098.
https:/​/​doi.org/​10.1103/​PhysRevA.54.1098

[6] Marco Cerezo, Andrew Arrasmith, Ryan Babbush, Simon C Benjamin, Suguru Endo, Keisuke Fujii, Jarrod R McClean, Kosuke Mitarai, Xiao Yuan, Lukasz Cincio, et al. Variational quantum algorithms. Nature Reviews Physics, 3 (9): 625–644, 2021. https:/​/​doi.org/​10.1038/​s42254-021-00348-9.
https:/​/​doi.org/​10.1038/​s42254-021-00348-9

[7] Ophelia Crawford, Barnaby van Straaten, Daochen Wang, Thomas Parks, Earl Campbell, and Stephen Brierley. Efficient quantum measurement of pauli operators in the presence of finite sampling error. Quantum, 5: 385, 2021. https:/​/​doi.org/​10.22331/​q-2021-01-20-385.
https:/​/​doi.org/​10.22331/​q-2021-01-20-385

[8] Andrew W Cross, Lev S Bishop, John A Smolin, and Jay M Gambetta. Open quantum assembly language. arXiv preprint arXiv:1707.03429, 2017.
arXiv:1707.03429

[9] Andrew W Cross, Lev S Bishop, Sarah Sheldon, Paul D Nation, and Jay M Gambetta. Validating quantum computers using randomized model circuits. Physical Review A, 100 (3): 032328, 2019. https:/​/​doi.org/​10.1103/​PhysRevA.100.032328.
https:/​/​doi.org/​10.1103/​PhysRevA.100.032328

[10] Poulami Das, Swamit S Tannu, Prashant J Nair, and Moinuddin Qureshi. A case for multi-programming quantum computers. In Proceedings of the 52nd Annual IEEE/​ACM International Symposium on Microarchitecture, pages 291–303, 2019. https:/​/​doi.org/​10.1145/​3352460.3358287.
https:/​/​doi.org/​10.1145/​3352460.3358287

[11] Eugene F Dumitrescu, Alex J McCaskey, Gaute Hagen, Gustav R Jansen, Titus D Morris, T Papenbrock, Raphael C Pooser, David Jarvis Dean, and Pavel Lougovski. Cloud quantum computing of an atomic nucleus. Physical review letters, 120 (21): 210501, 2018. https:/​/​doi.org/​10.1103/​PhysRevLett.120.210501.
https:/​/​doi.org/​10.1103/​PhysRevLett.120.210501

[12] Alexander Erhard, Joel J Wallman, Lukas Postler, Michael Meth, Roman Stricker, Esteban A Martinez, Philipp Schindler, Thomas Monz, Joseph Emerson, and Rainer Blatt. Characterizing large-scale quantum computers via cycle benchmarking. Nature communications, 10 (1): 1–7, 2019. https:/​/​doi.org/​10.1038/​s41467-019-13068-7.
https:/​/​doi.org/​10.1038/​s41467-019-13068-7

[13] Héctor Abraham et al. Qiskit: An open-source framework for quantum computing. https:/​/​qiskit.org/​, 2019.
https:/​/​qiskit.org/​

[14] Jay M Gambetta, AD Córcoles, Seth T Merkel, Blake R Johnson, John A Smolin, Jerry M Chow, Colm A Ryan, Chad Rigetti, S Poletto, Thomas A Ohki, et al. Characterization of addressability by simultaneous randomized benchmarking. Physical review letters, 109 (24): 240504, 2012. https:/​/​doi.org/​10.1103/​PhysRevLett.109.240504.
https:/​/​doi.org/​10.1103/​PhysRevLett.109.240504

[15] Pranav Gokhale, Olivia Angiuli, Yongshan Ding, Kaiwen Gui, Teague Tomesh, Martin Suchara, Margaret Martonosi, and Frederic T Chong. Optimization of simultaneous measurement for variational quantum eigensolver applications. In 2020 IEEE International Conference on Quantum Computing and Engineering (QCE), pages 379–390. IEEE, 2020. https:/​/​doi.org/​10.1109/​QCE49297.2020.00054.
https:/​/​doi.org/​10.1109/​QCE49297.2020.00054

[16] Gian Giacomo Guerreschi and Jongsoo Park. Two-step approach to scheduling quantum circuits. Quantum Science and Technology, 3 (4): 045003, 2018. https:/​/​doi.org/​10.1088/​2058-9565/​aacf0b.
https:/​/​doi.org/​10.1088/​2058-9565/​aacf0b

[17] Vojtěch Havlíček, Antonio D Córcoles, Kristan Temme, Aram W Harrow, Abhinav Kandala, Jerry M Chow, and Jay M Gambetta. Supervised learning with quantum-enhanced feature spaces. Nature, 567 (7747): 209–212, 2019. https:/​/​doi.org/​10.1038/​s41586-019-0980-2.
https:/​/​doi.org/​10.1038/​s41586-019-0980-2

[18] Toshinari Itoko, Rudy Raymond, Takashi Imamichi, and Atsushi Matsuo. Optimization of quantum circuit mapping using gate transformation and commutation. Integration, 70: 43–50, 2020. 10.1016/​j.vlsi.2019.10.004.
https:/​/​doi.org/​10.1016/​j.vlsi.2019.10.004

[19] Abhinav Kandala, Antonio Mezzacapo, Kristan Temme, Maika Takita, Markus Brink, Jerry M Chow, and Jay M Gambetta. Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets. Nature, 549 (7671): 242–246, 2017. https:/​/​doi.org/​10.1038/​nature23879.
https:/​/​doi.org/​10.1038/​nature23879

[20] Iordanis Kerenidis and Anupam Prakash. Quantum gradient descent for linear systems and least squares. Physical Review A, 101 (2): 022316, 2020. 10.1103/​PhysRevA.101.022316.
https:/​/​doi.org/​10.1103/​PhysRevA.101.022316

[21] Benjamin P Lanyon, James D Whitfield, Geoff G Gillett, Michael E Goggin, Marcelo P Almeida, Ivan Kassal, Jacob D Biamonte, Masoud Mohseni, Ben J Powell, Marco Barbieri, et al. Towards quantum chemistry on a quantum computer. Nature chemistry, 2 (2): 106–111, 2010. https:/​/​doi.org/​10.1038/​nchem.483.
https:/​/​doi.org/​10.1038/​nchem.483

[22] Gushu Li, Yufei Ding, and Yuan Xie. Tackling the qubit mapping problem for nisq-era quantum devices. In Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, pages 1001–1014, 2019. 10.1145/​3297858.3304023.
https:/​/​doi.org/​10.1145/​3297858.3304023

[23] Lei Liu and Xinglei Dou. Qucloud: A new qubit mapping mechanism for multi-programming quantum computing in cloud environment. In 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA), pages 167–178. IEEE, 2021. https:/​/​doi.org/​10.1109/​HPCA51647.2021.00024.
https:/​/​doi.org/​10.1109/​HPCA51647.2021.00024

[24] Pranav Mundada, Gengyan Zhang, Thomas Hazard, and Andrew Houck. Suppression of qubit crosstalk in a tunable coupling superconducting circuit. Physical Review Applied, 12 (5): 054023, 2019. https:/​/​doi.org/​10.1103/​PhysRevApplied.12.054023.
https:/​/​doi.org/​10.1103/​PhysRevApplied.12.054023

[25] Prakash Murali, Jonathan M Baker, Ali Javadi-Abhari, Frederic T Chong, and Margaret Martonosi. Noise-adaptive compiler mappings for noisy intermediate-scale quantum computers. In Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, pages 1015–1029, 2019. 10.1145/​3297858.3304075.
https:/​/​doi.org/​10.1145/​3297858.3304075

[26] Prakash Murali, David C McKay, Margaret Martonosi, and Ali Javadi-Abhari. Software mitigation of crosstalk on noisy intermediate-scale quantum computers. In Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems, pages 1001–1016, 2020. https:/​/​doi.org/​10.1145/​3373376.3378477.
https:/​/​doi.org/​10.1145/​3373376.3378477

[27] Siyuan Niu and Aida Todri-Sanial. Analyzing crosstalk error in the nisq era. In 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pages 428–430, 2021. https:/​/​doi.org/​10.1109/​ISVLSI51109.2021.00084.
https:/​/​doi.org/​10.1109/​ISVLSI51109.2021.00084

[28] Siyuan Niu, Adrien Suau, Gabriel Staffelbach, and Aida Todri-Sanial. A hardware-aware heuristic for the qubit mapping problem in the nisq era. IEEE Transactions on Quantum Engineering, 1: 1–14, 2020. 10.1109/​TQE.2020.3026544.
https:/​/​doi.org/​10.1109/​TQE.2020.3026544

[29] Yasuhiro Ohkura, Takahiko Satoh, and Rodney Van Meter. Simultaneous quantum circuits execution on current and near-future nisq systems. arXiv preprint arXiv:2112.07091 https:/​/​doi.org/​10.1109/​TQE.2022.3164716, 2021.
https:/​/​doi.org/​10.1109/​TQE.2022.3164716
arXiv:2112.07091

[30] Elijah Pelofske, Georg Hahn, and Hristo N Djidjev. Parallel quantum annealing. Scientific Reports, 12 (1): 1–11, 2022. https:/​/​doi.org/​10.1038/​s41598-022-08394-8.
https:/​/​doi.org/​10.1038/​s41598-022-08394-8

[31] Alberto Peruzzo, Jarrod McClean, Peter Shadbolt, Man-Hong Yung, Xiao-Qi Zhou, Peter J Love, Alán Aspuru-Guzik, and Jeremy L O’brien. A variational eigenvalue solver on a photonic quantum processor. Nature communications, 5: 4213, 2014. https:/​/​doi.org/​10.1038/​ncomms5213 (2014).
https:/​/​doi.org/​10.1038/​ncomms5213%20(2014)

[32] John Preskill. Quantum Computing in the NISQ era and beyond. Quantum, 2: 79, August 2018. ISSN 2521-327X. 10.22331/​q-2018-08-06-79.
https:/​/​doi.org/​10.22331/​q-2018-08-06-79

[33] Timothy J Proctor, Arnaud Carignan-Dugas, Kenneth Rudinger, Erik Nielsen, Robin Blume-Kohout, and Kevin Young. Direct randomized benchmarking for multiqubit devices. Physical review letters, 123 (3): 030503, 2019. https:/​/​doi.org/​10.1103/​PhysRevLett.123.030503.
https:/​/​doi.org/​10.1103/​PhysRevLett.123.030503

[34] Salonik Resch, Anthony Gutierrez, Joon Suk Huh, Srikant Bharadwaj, Yasuko Eckert, Gabriel Loh, Mark Oskin, and Swamit Tannu. Accelerating variational quantum algorithms using circuit concurrency. arXiv preprint arXiv:2109.01714, 2021.
arXiv:2109.01714

[35] Mohan Sarovar, Timothy Proctor, Kenneth Rudinger, Kevin Young, Erik Nielsen, and Robin Blume-Kohout. Detecting crosstalk errors in quantum information processors. Quantum, 4: 321, 2020. https:/​/​doi.org/​10.22331/​q-2020-09-11-321.
https:/​/​doi.org/​10.22331/​q-2020-09-11-321

[36] Peter W. Shor. Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer. SIAM Journal on Computing, 26 (5): 1484–1509, 1997. 10.1137/​S0097539795293172.
https:/​/​doi.org/​10.1137/​S0097539795293172

[37] Bochen Tan and Jason Cong. Optimality study of existing quantum computing layout synthesis tools. IEEE Transactions on Computers, 70 (9): 1363–1373, 2021. https:/​/​doi.org/​10.1109/​TC.2020.3009140.
https:/​/​doi.org/​10.1109/​TC.2020.3009140

[38] Swamit S Tannu and Moinuddin K Qureshi. Not all qubits are created equal: a case for variability-aware policies for nisq-era quantum computers. In Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, pages 987–999, 2019. https:/​/​doi.org/​10.1145/​3297858.3304007.
https:/​/​doi.org/​10.1145/​3297858.3304007

[39] R. Wille, D. Große, L. Teuber, G. W. Dueck, and R. Drechsler. RevLib: An online resource for reversible functions and reversible circuits. In Int'l Symp. on Multi-Valued Logic, pages 220–225, 2008. URL http:/​/​www.revlib.org.
http:/​/​www.revlib.org

[40] Robert Wille, Lukas Burgholzer, and Alwin Zulehner. Mapping quantum circuits to ibm qx architectures using the minimal number of swap and h operations. In 2019 56th ACM/​IEEE Design Automation Conference (DAC), pages 1–6. IEEE, 2019. https:/​/​doi.org/​10.1145/​3316781.3317859.
https:/​/​doi.org/​10.1145/​3316781.3317859

[41] Feng Zhang, Niladri Gomes, Noah F Berthusen, Peter P Orth, Cai-Zhuang Wang, Kai-Ming Ho, and Yong-Xin Yao. Shallow-circuit variational quantum eigensolver based on symmetry-inspired hilbert space partitioning for quantum chemical calculations. Physical Review Research, 3 (1): 013039, 2021. https:/​/​doi.org/​10.1103/​PhysRevResearch.3.013039.
https:/​/​doi.org/​10.1103/​PhysRevResearch.3.013039

[42] Peng Zhao, Peng Xu, Dong Lan, Ji Chu, Xinsheng Tan, Haifeng Yu, and Yang Yu. High-contrast z z interaction using superconducting qubits with opposite-sign anharmonicity. Physical Review Letters, 125 (20): 200503, 2020. https:/​/​doi.org/​10.1103/​PhysRevLett.125.200503.
https:/​/​doi.org/​10.1103/​PhysRevLett.125.200503

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[1] Koki Chinzei, Quoc Hoan Tran, Kazunori Maruyama, Hirotaka Oshima, and Shintaro Sato, "Splitting and parallelizing of quantum convolutional neural networks for learning translationally symmetric data", Physical Review Research 6 2, 023042 (2024).

[2] Elijah Pelofske, Georg Hahn, and Hristo N Djidjev, "Noise dynamics of quantum annealers: estimating the effective noise using idle qubits", Quantum Science and Technology 8 3, 035005 (2023).

[3] David Barral, F. Javier Cardama, Guillermo Díaz-Camacho, Daniel Faílde, Iago F. Llovo, Mariamo Mussa-Juane, Jorge Vázquez-Pérez, Juan Villasuso, César Piñeiro, Natalia Costas, Juan C. Pichel, Tomás F. Pena, and Andrés Gómez, "Review of Distributed Quantum Computing: From single QPU to High Performance Quantum Computing", Computer Science Review 57, 100747 (2025).

[4] Siyuan Niu and Aida Todri-Sanial, "Effects of Dynamical Decoupling and Pulse-Level Optimizations on IBM Quantum Computers", IEEE Transactions on Quantum Engineering 3, 1 (2022).

[5] Nathaniel Tornow, Emmanouil Giortamis, and Pramod Bhatotia, "QVM: Quantum Gate Virtualization Machine", Proceedings of the ACM on Programming Languages 9 PLDI, 993 (2025).

[6] Benjamin Harper, Behnam Tonekaboni, Bahar Goldozian, Martin Sevior, and Muhammad Usman, "Crosstalk Attacks and Defence in a Shared Quantum Computing Environment", Advanced Quantum Technologies 8 10, e2500009 (2025).

[7] Xinyu Piao, Joongheon Kim, and Jong-Kook Kim, "GraMA: A gradient matrix-guided assignment method for solving qubit mapping problems", Future Generation Computer Systems 182, 108485 (2026).

[8] Mingsheng Ying, Foundations of Quantum Programming 233 (2024) ISBN:9780443159428.

[9] Wenjie Wu, Yiquan Wang, Ge Yan, Yuming Zhao, Bo Zhang, and Junchi Yan, Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design 1 (2024) ISBN:9798400710773.

[10] Suryansh Upadhyay and Swaroop Ghosh, 2024 37th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID) 474 (2024) ISBN:979-8-3503-8440-6.

[11] Shuchang Cao, Xin Zhou, Qiang Chen, and Ang Zhang, 2025 5th International Conference on Communication Technology and Information Technology (ICCTIT) 382 (2025) ISBN:979-8-3315-5587-0.

[12] Qi Zhou, Zi-Hao Mei, Han-Qing Shi, Liang-Liang Guo, Xiao-Yan Yang, Yun-Jie Wang, Xiao-Fan Xu, Cheng Xue, Wei-Cheng Kong, Jun-Chao Wang, Yu-Chun Wu, Zhao-Yun Chen, and Guo-Ping Guo, "HiMA: Hierarchical quantum microarchitecture for qubit-scaling and quantum process-level parallelism", Future Generation Computer Systems 182, 108484 (2026).

[13] Chuanqi Xu and Jakub Szefer, Design Automation for Quantum Computing 341 (2026) ISBN:978-3-032-09302-8.

[14] Hong-Ze Xu, Xu-Dan Chai, Meng-Jun Hu, Zheng-An Wang, Yu-Long Feng, Yu Chen, Xinpeng Zhang, Jingbo Wang, Wei-Feng Zhuang, Yu-Xin Jin, Yirong Jin, Haifeng Yu, Heng Fan, and Dong E. Liu, "A Resource-Virtualized and Hardware-Aware Quantum Compilation Framework for Real Quantum Computing Processors", Research 8, 0947 (2025).

[15] René Zander and Colin Kai‐Uwe Becker, "Benchmarking Multipartite Entanglement Generation with Graph States", Advanced Quantum Technologies 8 1, 2400239 (2025).

[16] Subrata Das and Swaroop Ghosh, Proceedings of the Great Lakes Symposium on VLSI 2025 155 (2025) ISBN:9798400714962.

[17] Aaron Orenstein and Vipin Chaudhary, 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) 1105 (2024) ISBN:979-8-3503-6460-6.

[18] Changbin Lu, Mengjun Hu, Fuyou Miao, and Junpeng Hou, "Gate-based quantum neurons in hybrid neural networks", New Journal of Physics 26 9, 093037 (2024).

[19] Selçuk Çakmak, Murat Kurt, and Azmi Gençten, "Quantum Fourier Transform‐Based Arithmetic Logic Unit on a Quantum Processor", Annalen der Physik 536 4, 2300457 (2024).

[20] Wakade Kartik, Vyawahare Shubham, Mhase Dhananjay, and Prof. P. V. Gaikwad, "Modeling and Performance Evaluation of Hybrid Classical–Quantum Serverless Computing Platforms", International Journal of Advanced Research in Science Communication and Technology 428 (2025).

[21] Lana Mineh and Ashley Montanaro, "Accelerating the variational quantum eigensolver using parallelism", Quantum Science and Technology 8 3, 035012 (2023).

[22] Manpreet Singh Jattana, "Quantum annealer accelerates the variational quantum eigensolver in a triple-hybrid algorithm", Physica Scripta 99 9, 095117 (2024).

[23] Julien Rauch, Damien Rontani, and Stéphane Vialle, "Data clustering on hybrid classical-quantum NISQ architecture with generative-based variational and parallel algorithms", Journal of Systems Architecture 165, 103431 (2025).

[24] Javier Romero-Alvarez, Jaime Alvarado-Valiente, Jorge Casco-Seco, Enrique Moguel, Jose Garcia-Alonso, and Juan M. Murillo, 2024 IEEE International Conference on Quantum Computing and Engineering (QCE) 182 (2024) ISBN:979-8-3315-4137-8.

[25] Vinooth Kulkarni, Aaron Orenstein, Xinpeng Li, Shuai Xu, Daniel Blankenberg, and Vipin Chaudhary, 2025 Supercomputing India (SCI) 1 (2025) ISBN:979-8-3315-5758-4.

[26] Elijah Pelofske, Georg Hahn, and Hristo N. Djidjev, "Solving larger maximum clique problems using parallel quantum annealing", Quantum Information Processing 22 5, 219 (2023).

[27] Sorana Catrina and Alexandra Băicoianu, "Quantum Tunneling: From Theory to Error‐Mitigated Quantum Simulation", Advanced Quantum Technologies 8 1, 2400163 (2025).

[28] Samuel Ovaskainen, Majid Haghparast, and Tommi Mikkonen, 2025 IEEE International Conference on Quantum Computing and Engineering (QCE) 68 (2025) ISBN:979-8-3315-5736-2.

[29] Kui Ye, Shengxin Dai, Bing Guo, Yan Shen, Chuanjie Liu, Kejun Bi, Fei Chen, Yuchuan Hu, and Mingjie Zhao, "A Mutual-Influence-Aware Heuristic Method for Quantum Circuit Mapping", IEEE Transactions on Computers 73 12, 2855 (2024).

[30] Yasuhiro Ohkura, Takahiko Satoh, and Rodney Van Meter, "Simultaneous Execution of Quantum Circuits on Current and Near-Future NISQ Systems", IEEE Transactions on Quantum Engineering 3, 1 (2022).

[31] Danyang Zheng, Jinchen Xv, Feng Yue, Qiming Du, Zhiheng Wang, and Zheng Shan, "A Novel Scheduling Framework for Multi-Programming Quantum Computing in Cloud Environment", Computers, Materials & Continua 79 2, 1957 (2024).

[32] Daisuke Tsukayama, Jun-ichi Shirakashi, Tetsuo Shibuya, and Hiroshi Imai, "Enhancing computational accuracy with parallel parameter optimization in variational quantum eigensolver", AIP Advances 15 1, 015226 (2025).

[33] Julien Rauch, Brice Chichereau, Stephane Vialle, Patrick Carribault, and Damien Rontani, 2024 IEEE International Conference on Quantum Computing and Engineering (QCE) 199 (2024) ISBN:979-8-3315-4137-8.

[34] Miguel Palma, Shuwen Kan, Wenqi Wei, Juntao Chen, Kaixun Hua, Sara Mouradian, and Ying Mao, "Hardware-Aware and Resource-Efficient Circuit Packing and Scheduling on Trapped-Ion Quantum Computers", IEEE Transactions on Quantum Engineering 7, 1 (2026).

[35] Foundations of Quantum Programming 435 (2024) ISBN:9780443159428.

[36] Julien Baglio, "Cross-platform hardware benchmark of style-based quantum GANs for data augmentation on superconducting and trapped-ion processors", AIP Advances 16 6, 065008 (2026).

[37] Claudio Cicconetti, "Modeling and Performance Evaluation of Hybrid Classical–Quantum Serverless Computing Platforms", IEEE Transactions on Quantum Engineering 6, 1 (2025).

[38] Ruilin Zhou, Yuhang Gan, Yi Liu, and Chen Qian, 2025 IEEE 45th International Conference on Distributed Computing Systems (ICDCS) 155 (2025) ISBN:979-8-3315-1723-6.

[39] Jinyang Li, Yuhong Song, Yipei Liu, Jianli Pan, Lei Yang, Travis Humble, and Weiwen Jiang, "QuSplit: achieving both high fidelity and throughput via job splitting on noisy quantum computers", Quantum Machine Intelligence 7 2, 99 (2025).

[40] Aaron Orenstein and Vipin Chaudhary, 2024 IEEE International Conference on Quantum Computing and Engineering (QCE) 990 (2024) ISBN:979-8-3315-4137-8.

[41] Yiding Liu, "MPGP-QOC: Multi-programming and graph-partition-based QOC for QNN inference", Future Generation Computer Systems 174, 107966 (2026).

[42] Suryansh Upadhyay and Swaroop Ghosh, 2024 IEEE International Conference on Quantum Computing and Engineering (QCE) 1109 (2024) ISBN:979-8-3315-4137-8.

[43] Laszlo Gyongyosi and Sandor Imre, "Networked Quantum Services†", Quantum Information & Computation 25 2, 97 (2025).

[44] Emmanouil Giortamis, Francisco Romao, Nathaniel Tornow, Dmitry Lugovoy, and Pramod Bhatotia, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis 728 (2025) ISBN:9798400714665.

[45] Bao Bach, Ilya Safro, and Ed Younis, "Efficient Compilation for Shuttling Trapped-Ion Machines via the Position Graph Architectural Abstraction", ACM Transactions on Quantum Computing 3831246 (2026).

[46] Davide Ferrari and Michele Amoretti, Proceedings of the 2024 Workshop on High Performance and Quantum Computing Integration 4 (2024) ISBN:9798400706431.

[47] Ryo Wakizaka, Shin Nishio, Daisuke Sakuma, Yosuke Ueno, and Yasunari Suzuki, 2025 IEEE International Conference on Quantum Computing and Engineering (QCE) 779 (2025) ISBN:979-8-3315-5736-2.

[48] Norihiro Kakuko, Shun Gokita, Naoyuki Masumoto, Keita Matsumoto, Kosuke Miyaji, Takafumi Miyanaga, Toshio Mori, Haruki Nakayama, Keita Sasada, Yasuhito Takamiya, Satoyuki Tsukano, Ryo Uchida, and Masaomi Yamaguchi, "A Practical Open-Source Software Stack for a Cloud-Based Quantum Computing System", arXiv:2507.23165, (2025).

[49] Andrew Eddins, Mario Motta, Tanvi P. Gujarati, Sergey Bravyi, Antonio Mezzacapo, Charles Hadfield, and Sarah Sheldon, "Doubling the Size of Quantum Simulators by Entanglement Forging", PRX Quantum 3 1, 010309 (2022).

[50] Siyuan Niu and Aida Todri-Sanial, "Multi-programming Cross Platform Benchmarking for Quantum Computing Hardware", arXiv:2206.03144, (2022).

[51] Gilchan Park, Kun Zhang, Kwangmin Yu, and Vladimir Korepin, "Quantum multi-programming for Grover's search", Quantum Information Processing 22 1, 54 (2023).

[52] Binhan Lu, Zhaoyun Chen, and Yuchun Wu, "QSRA: A QPU Scheduling and Resource Allocation Approach for Cloud-Based Quantum Computing", arXiv:2411.05283, (2024).

[53] Jack S. Baker, Gilchan Park, Kwangmin Yu, Ara Ghukasyan, Oktay Goktas, and Santosh Kumar Radha, "Parallel hybrid quantum-classical machine learning for kernelized time-series classification", arXiv:2305.05881, (2023).

[54] James Mills, Debasis Sadhukhan, and Elham Kashefi, "Simplifying errors by symmetry and randomisation", arXiv:2303.02712, (2023).

[55] Siyuan Niu and Aida Todri-Sanial, "Effects of Dynamical Decoupling and Pulse-level Optimizations on IBM Quantum Computers", arXiv:2204.01471, (2022).

[56] Evan E. Dobbs, Robert Basmadjian, Alexandru Paler, and Joseph S. Friedman, "Fast Swapping in a Quantum Multiplier Modelled as a Queuing Network", arXiv:2106.13998, (2021).

[57] Siyuan Niu and Aida Todri-Sanial, "How Parallel Circuit Execution Can Be Useful for NISQ Computing?", arXiv:2112.00387, (2021).

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