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TEQUILA: a platform for rapid development of quantum algorithms

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Pulser: An open-source package for the design of pulse sequences in programmable neutral-atom arrays

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Paulihedral: a generalized block-wise compiler optimization framework for Quantum simulation kernels

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Quantum machine learning of large datasets using randomized measurements

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QFaaS: A Serverless Function-as-a-Service framework for Quantum computing

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Constrained quantum optimization for extractive summarization on a trapped-ion quantum computer

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The NISQ Analyzer: Automating the Selection of Quantum Computers for Quantum Algorithms

Salm, M., Barzen, J., Breitenbücher, U., Leymann, F., Weder, B., & Wild, K. (2020) · Communications in computer and information science · doi:10.1007/978-3-030-64846-6_5 · Cited by 60 · see citing works

Foundations for Near-Term Quantum Natural Language ProcessingPreprint

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Suppressing Quantum Circuit Errors Due to System Variability

Nation, P. D., & Treinish, M. (2023) · PRX Quantum · doi:10.1103/prxquantum.4.010327 · Cited by 56 · see citing works

Integrating quantum computing resources into scientific HPC ecosystems

Beck, T. L., Baroni, A., Bennink, R. S., Buchs, G., Pérez, E. A. C., Eisenbach, M., da Silva, R. F., Meena, M. G., Gottiparthi, K., Groszkowski, P., et al. (2024) · Future Generation Computer Systems · doi:10.1016/j.future.2024.06.058 · Cited by 59 · see citing works

Optimal Qubit Assignment and Routing via Integer Programming

Nannicini, G., Bishop, L. S., Günlük, O., & Jurcevic, P. (2022) · ACM Transactions on Quantum Computing · doi:10.1145/3544563 · Cited by 54 · see citing works

MorphQ: Metamorphic Testing of the Qiskit Quantum Computing Platform

Paltenghi, M., & Pradel, M. (2023) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1109/icse48619.2023.00202 · Cited by 57 · see citing works

Best Approximate Quantum Compiling Problems

Madden, L., & Simonetto, A. (2022) · ACM Transactions on Quantum Computing · doi:10.1145/3505181 · Cited by 53 · see citing works

AutoComm: A Framework for Enabling Efficient Communication in Distributed Quantum Programs

Wu, A., Zhang, H., Li, G., Shabani, A., Xie, Y., & Ding, Y. (2022) · IEEE/ACM International Symposium on Microarchitecture (MICRO) · doi:10.1109/micro56248.2022.00074 · Cited by 51 · see citing works

Advancing hybrid quantum–classical computation with real-time execution

Lubinski, T., Granade, C., Anderson, A., Geller, A., Roetteler, M., Petrenko, A., & Heim, B. (2022) · Frontiers in Physics · doi:10.3389/fphy.2022.940293 · Cited by 53 · see citing works

Qubit Mapping and Routing via MaxSAT

Molavi, A., Xu, A., Diges, M., Pick, L., Tannu, S., & Albarghouthi, A. (2022) · 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO) · doi:10.1109/micro56248.2022.00077 · Cited by 54 · see citing works

Machine Learning Optimization of Quantum Circuit Layouts

Paler, A., Sasu, L. M., Florea, A.-C., & Andonie, R. (2022) · ACM Transactions on Quantum Computing · doi:10.1145/3565271 · Cited by 49 · see citing works

Alignment between initial state and mixer improves QAOA performance for constrained optimization

He, Z., Shaydulin, R., Chakrabarti, S., Herman, D., Li, C., Sun, Y., & Pistoia, M. (2023) · npj Quantum Information · doi:10.1038/s41534-023-00787-5 · Cited by 51 · see citing works

Application-Motivated, Holistic Benchmarking of a Full Quantum Computing Stack

Mills, D., Sivarajah, S., Scholten, T. L., & Duncan, R. (2021) · Quantum · doi:10.22331/q-2021-03-22-415 · Cited by 51 · see citing works

Variational Inference with a Quantum Computer

Benedetti, M., Coyle, B., Fiorentini, M., Lubasch, M., & Rosenkranz, M. (2021) · Physical Review Applied · doi:10.1103/physrevapplied.16.044057 · Cited by 49 · see citing works

Equivalence Checking of Quantum Circuits With the ZX-Calculus

Peham, T., Burgholzer, L., & Wille, R. (2022) · IEEE Journal on Emerging and Selected Topics in Circuits and Systems · doi:10.1109/jetcas.2022.3202204 · Cited by 47 · see citing works

Compiler Optimization for Quantum Computing Using Reinforcement Learning

Quetschlich, N., Burgholzer, L., & Wille, R. (2023) · ACM/IEEE Design Automation Conference (DAC) · doi:10.1109/dac56929.2023.10248002 · Cited by 47 · see citing works

Quantum Circuit Optimization and Transpilation via Parameterized Circuit Instantiation

Younis, E., & Iancu, C. (2022) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce53715.2022.00068 · Cited by 46 · see citing works

Compiling Quantum Circuits for Dynamically Field-Programmable Neutral Atoms Array Processors

Tan, D. B., Bluvstein, D., Lukin, M. D., & Cong, J. (2024) · Quantum · doi:10.22331/q-2024-03-14-1281 · Cited by 48 · see citing works

Qiskit Experiments: A Python package to characterize and calibrate quantum computers

Kanazawa, N., Egger, D. J., Ben‐Haim, Y., Zhang, H., Shanks, W., Aleksandrowicz, G., & Wood, C. J. (2023) · The Journal of Open Source Software · doi:10.21105/joss.05329 · Cited by 43 · see citing works

Synthesizing Quantum-Circuit Optimizers

Xu, A., Molavi, A., Pick, L., Tannu, S., & Albarghouthi, A. (2023) · Proceedings of the ACM on Programming Languages · doi:10.1145/3591254 · Cited by 42 · see citing works

Multi-Neutrino Entanglement and Correlations in Dense Neutrino Systems

Illa, M., & A, M. J. S. (2023) · Physical Review Letters · doi:10.1103/physrevlett.130.221003 · Cited by 42 · see citing works

Demonstrating Bayesian quantum phase estimation with quantum error detection

Yamamoto, K., Duffield, S., Kikuchi, Y., & Ramo, D. M. (2024) · Physical Review Research · doi:10.1103/physrevresearch.6.013221 · Cited by 42 · see citing works

Relaxed Peephole Optimization: A Novel Compiler Optimization for Quantum Circuits

Liu, J., Bello, L., & Zhou, H. (2021) · Proceedings of the CGO/Proceedings of the ... CGO · doi:10.1109/cgo51591.2021.9370310 · Cited by 42 · see citing works

Realization of quantum signal processing on a noisy quantum computer

Kikuchi, Y., Keever, C. M., Coopmans, L., Lubasch, M., & Benedetti, M. (2023) · npj Quantum Information · doi:10.1038/s41534-023-00762-0 · Cited by 43 · see citing works

NetQASM—a low-level instruction set architecture for hybrid quantum–classical programs in a quantum internet

Dahlberg, A., van der Vecht, B., Donne, C. D., Skrzypczyk, M., Raa, I. T., Kozlowski, W., & Wehner, S. (2022) · Quantum Science and Technology · doi:10.1088/2058-9565/ac753f · Cited by 41 · see citing works

LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach

Smith, E., Davis, M. G., Larson, J. M., Younis, E., Oftelie, L. B., Lavrijsen, W., & Iancu, C. (2022) · ACM Transactions on Quantum Computing · doi:10.1145/3548693 · Cited by 45 · see citing works

MQT QMAP: Efficient Quantum Circuit Mapping

Wille, R., & Burgholzer, L. (2023) · Proceedings of the 2023 International Symposium on Physical Design · doi:10.1145/3569052.3578928 · Cited by 41 · see citing works

Experimental Benchmarking of an Automated Deterministic Error-Suppression Workflow for Quantum Algorithms

Mundada, P., Barbosa, A., Maity, S., Wang, Y., Merkh, T., Stace, T. M., Nielson, F. F., Carvalho, A. R. R., Hush, M., Biercuk, M. J., et al. (2023) · Physical Review Applied · doi:10.1103/physrevapplied.20.024034 · Cited by 41 · see citing works

2QAN

Lao, L., & Browne, D. E. (2022) · Proceedings - International Symposium on Computer Architecture/Proceedings · doi:10.1145/3470496.3527394 · Cited by 40 · see citing works

Distributing circuits over heterogeneous, modular quantum computing network architectures

Andrés-Martí­nez, P., Forrer, T., Mills, D., Wu, J.-Y., Henaut, L., Yamamoto, K., Murao, M., & Duncan, R. (2024) · Quantum Science and Technology · doi:10.1088/2058-9565/ad6734 · Cited by 41 · see citing works

Clifford Circuit Optimization with Templates and Symbolic Pauli Gates

Bravyi, S. B., Shaydulin, R., Hu, S., & Maslov, D. (2021) · Quantum · doi:10.22331/q-2021-11-16-580 · Cited by 38 · see citing works

Application-motivated, holistic benchmarking of a full quantum computing stack

Mills, D., Sivarajah, S., Scholten, T. L., & Duncan, R. (2021) · Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) · Cited by 40 · see citing works

DisCoPy: Monoidal Categories in Python

de Felice, G., Toumi, A., & Coecke, B. (2021) · Electronic Proceedings in Theoretical Computer Science · doi:10.4204/eptcs.333.13 · Cited by 37 · see citing works

Grammar-aware sentence classification on quantum computers

Meichanetzidis, K., Toumi, A., de Felice, G., & Coecke, B. (2023) · Quantum Machine Intelligence · doi:10.1007/s42484-023-00097-1 · Cited by 76 · see citing works

Scalable Optimal Layout Synthesis for NISQ Quantum Processors

Lin, W.-H., Kimko, J., Tan, D. B., Bjørner, N. S., & Cong, J. (2023) · Design Automation Conference · doi:10.1109/dac56929.2023.10247760 · Cited by 43 · see citing works

Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices

Bechtold, M., Barzen, J., Leymann, F., Mandl, A., Obst, J., Truger, F., & Weder, B. (2023) · Quantum Science and Technology · doi:10.1088/2058-9565/acf59c · Cited by 35 · see citing works

Mapping Quantum Circuits to Modular Architectures with QUBO

Bandić, M., Prielinger, L., Nüßlein, J., Ovide, A., Rodrigo, S., Abadal, S., van Someren, H., Vardoyan, G., Alarcón, E., Almudéver, C. G., et al. (2023) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce57702.2023.00094 · Cited by 34 · see citing works

Software-Hardware Co-Optimization for Computational Chemistry on Superconducting Quantum Processors

Li, G., Shi, Y., & Javadi-Abhari, A. (2021) · Proceedings - International Symposium on Computer Architecture/Proceedings · doi:10.1109/isca52012.2021.00070 · Cited by 37 · see citing works

Optimal qubit mapping with simultaneous gate absorption

Tan, D. B., & Cong, J. (2021) · International Conference on Computer Aided Design · doi:10.1109/iccad51958.2021.9643554 · Cited by 34 · see citing works

A Generic Compilation Strategy for the Unitary Coupled Cluster AnsatzPreprint

Cowtan, A., Simmons, W., & Duncan, R. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.10515 · Cited by 49 · see citing works

Computational capabilities and compiler development for neutral atom quantum processors—connecting tool developers and hardware experts

Schmid, L., Locher, D. F., Rispler, M., Blatt, S., Zeiher, J., Müller, M., & Wille, R. (2024) · Quantum Science and Technology · doi:10.1088/2058-9565/ad33ac · Cited by 34 · see citing works

Modelling carbon capture on metal-organic frameworks with quantum computing

Greene‐Diniz, G., Manrique, D. Z., Sennane, W., Magnin, Y., Shishenina, E., Cordier, P., Llewellyn, P. L., Krompiec, M., Rančić, M. J., & Ramo, D. M. (2022) · EPJ Quantum Technology · doi:10.1140/epjqt/s40507-022-00155-w · Cited by 35 · see citing works

Not All SWAPs Have the Same Cost: A Case for Optimization-Aware Qubit Routing

Liu, J., Li, P., & Zhou, H. (2022) · IEEE International Symposium on High-Performance Computer Architecture (HPCA) · doi:10.1109/hpca53966.2022.00058 · Cited by 32 · see citing works

Quantum algorithms with local particle-number conservation: Noise effects and error correction

Streif, M., Leib, M., Wudarski, F., Rieffel, E. G., & Wang, Z. (2021) · Physical Review A · doi:10.1103/physreva.103.042412 · Cited by 30 · see citing works

Reducing the CNOT Count for Clifford+T Circuits on NISQ Architectures

Gheorghiu, V., Huang, J., Li, S. M., Mosca, M., & Mukhopadhyay, P. (2020) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · doi:10.1109/tcad.2022.3213210 · Cited by 45 · see citing works

Predicting Good Quantum Circuit Compilation Options

Quetschlich, N., Burgholzer, L., & Wille, R. (2023) · IEEE International Conference on Quantum Software (QSW) · doi:10.1109/qsw59989.2023.00015 · Cited by 30 · see citing works

Interaction graph-based characterization of quantum benchmarks for improving quantum circuit mapping techniques

Bandić, M., Almudéver, C. G., & Feld, S. (2023) · Quantum Machine Intelligence · doi:10.1007/s42484-023-00124-1 · Cited by 30 · see citing works

Revisiting the Mapping of Quantum Circuits: Entering the Multi-core Era

Escofet, P., Ovide, A., Bandić, M., Prielinger, L., van Someren, H., Feld, S., Alarcón, E., Abadal, S., & Almudéver, C. G. (2024) · ACM Transactions on Quantum Computing · doi:10.1145/3655029 · Cited by 30 · see citing works

Noisy intermediate-scale quantum simulation of the one-dimensional wave equation

Wright, L., Keever, C. M., First, J. T., Johnston, R., Tillay, J., Chaney, S., Rosenkranz, M., & Lubasch, M. (2024) · Physical Review Research · doi:10.1103/physrevresearch.6.043169 · Cited by 30 · see citing works

Automating the Comparison of Quantum Compilers for Quantum Circuits

Salm, M., Barzen, J., Leymann, F., Weder, B., & Wild, K. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-87568-8_4 · Cited by 30 · see citing works

Shuttling for Scalable Trapped-Ion Quantum Computers

Schoenberger, D., Hillmich, S., Brandl, M., & Wille, R. (2024) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · doi:10.1109/tcad.2024.3513262 · Cited by 31 · see citing works

Quantum Compiling

Maronese, M., Moro, L. D., Rocutto, L., & Prati, E. (2022) · Springer eBooks · doi:10.1007/978-3-030-89746-8_2 · Cited by 30 · see citing works

Architecture-Aware Synthesis of Phase Polynomials for NISQ Devices

de Griend, A. M.-V., & Duncan, R. (2020) · Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) · doi:10.4204/eptcs.394.8 · Cited by 11 · see citing works

A Quantum Natural Language Processing Approach to Musical Intelligence

Miranda, E. R., Yeung, R. W. K., Pearson, A., Meichanetzidis, K., & Coecke, B. (2022) · Springer eBooks · doi:10.1007/978-3-031-13909-3_13 · Cited by 27 · see citing works

Quantum Circuit Compiler for a Shuttling-Based Trapped-Ion Quantum Computer

Kreppel, F., Melzer, C., Millán, D. O., Wagner, J., Hilder, J., Poschinger, U., Schmidt‐Kaler, F., & Brinkmann, A. (2023) · Quantum · doi:10.22331/q-2023-11-08-1176 · Cited by 26 · see citing works

Tackling the Qubit Mapping Problem with Permutation-Aware Synthesis

Liu, J., Younis, E., Weiden, M., Hovland, P., Kubiatowicz, J. D., & Iancu, C. (2023) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce57702.2023.00090 · Cited by 27 · see citing works

NISQ Quantum Computing: A Security-Centric Tutorial and Survey [Feature]

Chen, F., Jiang, L., Müller, H. A., Richerme, P., Chu, C., Fu, Z., & Min, Y. (2024) · IEEE Circuits and Systems Magazine · doi:10.1109/mcas.2024.3349665 · Cited by 27 · see citing works

HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware

Sawaya, N. P. D., Marti-Dafcik, D., Ho, Y., Tabor, D. P., Bernal, D. E., Magann, A. B., Premaratne, S., Dubey, P. K., Matsuura, A. Y., Bishop, N. C., et al. (2024) · Quantum · doi:10.22331/q-2024-12-11-1559 · Cited by 26 · see citing works

Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search

Sinha, A., Azad, U., & Singh, H. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v36i9.21231 · Cited by 26 · see citing works

Noisy gates for simulating quantum computers

Bartolomeo, G. D., Vischi, M., Cesa, F., Wixinger, R., Grossi, M., Donadi, S., & Bassi, A. (2023) · Physical Review Research · doi:10.1103/physrevresearch.5.043210 · Cited by 26 · see citing works

Benchmarking quantum computer simulation software packages: State vector simulators

Jamadagni, A., Läuchli, A. M., & Hempel, C. (2024) · SciPost Physics Core · doi:10.21468/scipostphyscore.7.4.075 · Cited by 32 · see citing works

Limiting the Search Space in Optimal Quantum Circuit Mapping

Burgholzer, L., Schneider, S., & Wille, R. (2022) · Springer eBooks · doi:10.1007/978-3-032-06770-8_11 · Cited by 25 · see citing works

MQT Predictor: Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

Quetschlich, N., Burgholzer, L., & Wille, R. (2024) · ACM Transactions on Quantum Computing · doi:10.1145/3673241 · Cited by 27 · see citing works

Integration of Quantum Accelerators with High Performance Computing—A Review of Quantum Programming Tools

Elsharkawy, A., To, X.-T. M., Seitz, P., Chen, Y., Stade, Y., Geiger, M., Huang, Q., Guo, X., Ansari, M. A., Mendl, C. B., et al. (2025) · ACM Transactions on Quantum Computing · doi:10.1145/3743149 · Cited by 27 · see citing works

Quantum hardware calculations of periodic systems with partition-measurement symmetry verification: Simplified models of hydrogen chain and iron crystals

Yamamoto, K., Manrique, D. Z., Khan, I. T., Sawada, H., & Ramo, D. M. (2022) · Physical Review Research · doi:10.1103/physrevresearch.4.033110 · Cited by 27 · see citing works

Improving Quantum Computation by Optimized Qubit Routing

Wagner, F., Bärmann, A., Liers, F., & Weissenbäck, M. (2023) · Journal of Optimization Theory and Applications · doi:10.1007/s10957-023-02229-w · Cited by 24 · see citing works

Graphical structures for design and verification of quantum error correction

Chancellor, N., Kissinger, A., Zohren, S., Roffe, J., & Horsman, D. C. (2023) · Quantum Science and Technology · doi:10.1088/2058-9565/acf157 · Cited by 41 · see citing works

An open-source, industrial-strength optimizing compiler for quantum programs

Smith, R., Peterson, E., Skilbeck, M. G., & Davis, E. (2020) · Quantum Science and Technology · doi:10.1088/2058-9565/ab9acb · Cited by 42 · see citing works

Investigating Retargetability Claims for Quantum CompilersPreprint

Southall, L., Ammermann, J., Kelmendi, R., Eichhorn, D., & Schaefer, I. (2026) · arXiv (Cornell University) · doi:10.48550/arxiv.2601.16779

Compiler Design for Quantum Programming Languages

Lindberg, E., & Silva, A. (2025) · Quantum Frontiers Journal

MQT Predictor: Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

Quetschlich, N., Burgholzer, L., & Wille, R. (2024) · ACM Transactions on Quantum Computing · doi:10.1145/3673241 · Cited by 27 · see citing works

Tough Errors Are no Match (TEAM): Optimizing the quantum compiler for noise resilience

Shammah, N., CHO Chicago Office, A., Stemen, N. T., Mari, A., Russo, V., Wahl, M., & Zeng, W. J. (2025) · doi:10.2172/2569159