The DOI matches its Crossref record; 78 of the 80 references it cites were found in a registry or an index.
t|ket⟩: a retargetable compiler for NISQ devices
Open accessAbstract
We present t | ket ⟩, a quantum software development platform produced by Cambridge Quantum Computing Ltd. The heart of t | ket ⟩ is a language-agnostic optimising compiler designed to generate code for a variety of NISQ devices, which has several features designed to minimise the influence of device error. The compiler has been extensively benchmarked and outperforms most competitors in terms of circuit optimisation and qubit routing.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“It was recently proven [65] that at a fixed gate error, RCS is not a scalable route to quantum supremacy at large N”
From A Race-Track Trapped-Ion Quantum Processor (2023) · cites this paper as [65]
Citations
Cites
Quantum Computing in the NISQ era and beyond
Preskill, J. (2018) · Quantum · doi:10.22331/q-2018-08-06-79 · Cited by 8,830
Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer
Shor, P. W. (1997) · SIAM Journal on Computing · doi:10.1137/s0097539795293172 · Cited by 8,472
Quantum supremacy using a programmable superconducting processor
Arute, F., Arya, K., Babbush, R., Bacon, D., Bardin, J. C., Barends, R., Biswas, R., Boixo, S., Brandao, F. G. S. L., Buell, D. A., et al. (2019) · Nature · doi:10.1038/s41586-019-1666-5 · Cited by 7,720
A single quantum cannot be cloned
Wootters, W. K., & Zurek, W. H. (1982) · Nature · doi:10.1038/299802a0 · Cited by 5,406 · cited 1×
“For qubits, this linear resource management is justified by the no-cloning [50] and no-deleting [51] theorems.”
MethodA variational eigenvalue solver on a photonic quantum processor
Peruzzo, A., McClean, J., Shadbolt, P., Yung, M.-H., Zhou, X.-Q., Love, P. J., Aspuru-Guzik, A., & O’Brien, J. L. (2014) · Nature Communications · doi:10.1038/ncomms5213 · Cited by 4,552
Quantum Algorithm for Linear Systems of Equations
Harrow, A. W., Hassidim, A., & Lloyd, S. (2009) · Physical Review Letters · doi:10.1103/physrevlett.103.150502 · Cited by 3,325
Georgescu, I. M., Ashhab, S., & Nori, F. (2014) · Reviews of Modern Physics · doi:10.1103/revmodphys.86.153 · Cited by 2,932
A Quantum Approximate Optimization Algorithm
Farhi, E., Goldstone, J., & Gutmann, S. (2014) · arXiv · doi:10.48550/arxiv.1411.4028 · Cited by 1,789
Improved simulation of stabilizer circuits
Aaronson, S., & Gottesman, D. (2004) · Physical Review A · doi:10.1103/physreva.70.052328 · Cited by 1,515
Error mitigation extends the computational reach of a noisy quantum processor
Kandala, A., Temme, K., Corcoles, A. D., Mezzacapo, A., Chow, J. M., & Gambetta, J. (2019) · Nature · doi:10.1038/s41586-019-1040-7 · Cited by 947
Cited by
Sorted by citations
Items 301–400 of 473
Treespilation: Architecture- and State-Optimised Fermion-to-Qubit MappingsPreprint
Miller, A., Glos, A., & Zimborás, Z. (2024) · Research Square · doi:10.21203/rs.3.rs-4343077/v1 · Cited by 3
HATT: Hamiltonian Adaptive Ternary Tree for Optimizing Fermion-to-Qubit Mapping
Liu, Y., Yao, K., Hong, J., Froustey, J., Rrapaj, E., Iancull, C., Li, G., & Shi, Y. (2025) · IEEE International Symposium on High-Performance Computer Architecture (HPCA) · doi:10.1109/hpca61900.2025.00022 · Cited by 10
Du, Z.-Q., Li, X.-J., & Li, H. (2025) · Applied Sciences · doi:10.3390/app15116373 · Cited by 2
QR-Map: A Map-Based Approach to Quantum Circuit Abstraction for Qubit Reuse Optimization
Kim, H. J., Jang, E., Choi, S., Kim, Y., & Ro, W. W. (2025) · Proceedings - International Symposium on Computer Architecture/Proceedings · doi:10.1145/3695053.3731020 · Cited by 5
Qukkos: Measurement-Based Quantum Compilation System
Dang, S., Son, Y., & Kim, B. (2025) · International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) · doi:10.1109/acdsa65407.2025.11165960 · Cited by 2
Joven, K. J., Das, E. R., Bierman, J., Majumdar, A., Heris, M. H., & Liu, Y. (2026) · APL Computational Physics · doi:10.1063/5.0312254 · Cited by 2
Local Optimization of Quantum Circuits
Arora, J., Xu, M., Westrick, S., Liu, P., Li, D., Ding, Y., & Acar, U. A. (2025) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce65121.2025.00069 · Cited by 4
Physically-Aware Qubit Reuse for Optimized Quantum Circuit Compilation Using Machine Learning
Kizhuvettil, G., Ioannou, G., Niu, S., & Saeed, S. M. (2025) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce65121.2025.00083 · Cited by 2
Full Quantum Stack: Ket Platform
Rosa, E. C. R., Lussi, E. W., Marchi, J., de Santiago, R., & Duzzioni, E. I. (2025) · Brazilian Journal of Physics · doi:10.1007/s13538-025-01981-w · Cited by 5
A Simple Method for Seniority-Zero Quantum State Preparation
Krompiec, M., Kirsopp, J. J. M., Romero, A. M., & Soloviev, V. P. (2025) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.5c01452 · Cited by 3
Treespilation: architecture- and state-optimised fermion-to-qubit mappings
Miller, A., Glos, A., & Zimborás, Z. (2026) · npj Quantum Information · doi:10.1038/s41534-025-01170-2 · Cited by 2
Joint Optimization of Circuit Transformation and Qubit Mapping for Distributed Quantum Computing
Zhang, X., Xu, X., Liu, Y., Mao, Y., 肖斌, & Yang, Y. (2026) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom59046.2026.11571664 · Cited by 2
El agente cuántico: automating quantum simulations
Gustín, I., Calderón, L., Pérez-Sánchez, J. B., Crebolder, C., Gonthier, J. F., Vakili, M. G., Nakamura, Y., Panicker, K., Ramprasad, M., Yin, A., et al. (2026) · Reports on Progress in Physics · doi:10.1088/1361-6633/ae8933 · Cited by 16
QRANE: lifting QASM programs to an affine IR
Gerard, B., Grosser, T., & Kong, M. (2022) · ACM SIGPLAN International Conference on Compiler Construction (CC) · doi:10.1145/3497776.3517775 · Cited by 3
Chen, M., Zhang, Y., Li, Y., Wang, Z., Li, J., & Li, X. (2022) · International Conference on Computer Aided Design · doi:10.1145/3508352.3549405 · Cited by 2
Exploring the Advantages of Layout Procedure with Fully‐Connected Quantum Computing Technologies
Russo, A., Simoni, M., Volpe, D., Cirillo, G. A., & Graziano, M. (2023) · Advanced Quantum Technologies · doi:10.1002/qute.202300128 · Cited by 2
Christopoulou, G., Paola, C. D., Elzinga, F., Jallat, A., Ramo, D. M., & Krompiec, M. (2024) · Physical Chemistry Chemical Physics · doi:10.1039/d3cp05167f · Cited by 2
Towards Application-Aware Quantum Circuit Compilation
Quetschlich, N., Kiwit, F. J., Wolf, M. A., Riofrío, C. A., Burgholzer, L., Luckow, A., & Wille, R. (2024) · IEEE International Conference on Quantum Software (QSW) · doi:10.1109/qsw62656.2024.00028 · Cited by 6
Distributing Quantum Circuits with Minimum Circuit Execution Time over Quantum Networks
Sundaram, R. G., Gupta, H., & Ramakrishnan, C. R. (2024) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce60285.2024.00224 · Cited by 8
Louamri, M. M., Belaloui, N. E., Tounsi, A., & Rouabah, M. T. (2024) · International Conference on Innovative and Intelligent Information Technologies (IC3IT) · doi:10.1109/ic3it63743.2024.10869429 · Cited by 2
Towards Effective Local Search for Qubit Mapping
Luo, C. W., Cao, S., Guo, S., & Hu, C. (2025) · IEEE Transactions on Computers · doi:10.1109/tc.2025.3544869 · Cited by 2
Performance analysis of a filtering variational quantum algorithm
Marin-Sanchez, G., & Amaro, D. (2025) · New Journal of Physics · doi:10.1088/1367-2630/add365 · Cited by 4
Ha, J., Kang, Y., Lee, J., & Heo, J. (2025) · Quantum Information Processing · doi:10.1007/s11128-025-04789-4 · Cited by 2
Qubit mapping: the adaptive divide-and-conquer approach
Huang, Y., Zhou, X., Meng, F., & Li, S. (2025) · Quantum Information Processing · doi:10.1007/s11128-025-04815-5 · Cited by 5
Measuring correlation and entanglement between molecular orbitals on a trapped-ion quantum computer
Greene‐Diniz, G., Self, C. N., Krompiec, M., Coopmans, L., Benedetti, M., Ramo, D. M., & Rosenkranz, M. (2025) · Scientific Reports · doi:10.1038/s41598-025-04365-x · Cited by 7
ZX-calculus is Complete for Finite-Dimensional Hilbert Spaces
Poór, B., Shaikh, R. A., & Wang, Q. (2025) · Electronic Proceedings in Theoretical Computer Science · doi:10.4204/eptcs.426.5 · Cited by 2
Understanding and Estimating the Execution Time of Quantum Circuits
Ma, N., & Li, H. (2025) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3778031 · Cited by 13
Is Circuit Depth Accurate for Comparing Quantum Circuit Runtimes?
Tremba, M., Hovland, P., & Liu, J. (2025) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce65121.2025.00049 · Cited by 5
Belkhir, M., Benkaouha, H., & Benkhelifa, E. (2022) · International Conference on Software Defined Systems (SDS) · doi:10.1109/sds57574.2022.10062870 · Cited by 2
Comparing Quantum Service Offerings
Obst, J., Barzen, J., Beisel, M., Leymann, F., Salm, M., & Truger, F. (2023) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce57702.2023.10206 · Cited by 2
Ha, J., Lee, J., & Heo, J. (2024) · Scientific Reports · doi:10.1038/s41598-024-54434-w · Cited by 4
Non-parametric Greedy Optimization of Parametric Quantum Circuits
Phalak, K., & Ghosh, S. (2024) · International Symposium on Quality Electronic Design (ISQED) · doi:10.1109/isqed60706.2024.10528696 · Cited by 3
Expanding Hardware-Efficiently Manipulable Hilbert Space via Hamiltonian Embedding
Leng, J., Li, J., Peng, Y., & Wu, X. (2025) · Quantum · doi:10.22331/q-2025-09-11-1857 · Cited by 10
Practical randomness and privacy amplificationPreprint
Foreman, C., Wright, S., Edgington, A., Berta, M., & Curchod, F. J. (2020) · arXiv (Cornell University) · Cited by 2
Self-citationString Abstractions for Qubit MappingPreprint
Gerard, B., & Kong, M. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2111.03716 · Cited by 4
Algorithm-Aware Qubit MappingPreprint
Ji, Y., & Polian, I. (2022) · doi:10.36227/techrxiv.21786146 · Cited by 1
Towards High-Level Synthesis of Quantum Circuits
Lu, C., Pilato, C., & Basu, K. (2023) · Design, Automation, and Test in Europe · doi:10.23919/date56975.2023.10137010 · Cited by 1
Li, Y., Zhang, Y., Deng, H., Chen, M., & Li, Z. (2024) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · doi:10.1109/tcad.2024.3509794 · Cited by 1
Redefining Lexicographical Ordering: Optimizing Pauli String Decompositions for Quantum Compiling
Huang, Q., Winderl, D., de Griend, A. M.-V., & Yeung, R. W. K. (2024) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce60285.2024.00108 · Cited by 8
Modeling and Simulation of Multiple-Valued and Nonlinear Quantum Photonic Components
Ange, J., Tuller, M., Henderson, J. M., Henderson, E. R., Moores, B. A., MacFarlane, D. L., & Thornton, M. A. (2025) · IEEE International Symposium on Multiple-Valued Logic (ISMVL) · doi:10.1109/ismvl64713.2025.00032 · Cited by 1
Kundu, S., & Ghosh, S. (2025) · ACM Great Lakes Symposium on VLSI (GLSVLSI) · doi:10.1145/3716368.3735298 · Cited by 6
Hybrid (Quantum-Classical) Service Applications Deployment Configuration System
Aparicio-Morales, Á. M., García-Alonso, J. M., Cámara, J., & Murillo, J. M. (2025) · Lecture notes in computer science · doi:10.1007/978-981-96-7423-7_1 · Cited by 1
DQC-QR: Distributing and Routing Quantum Circuits with Minimum Execution Time
Sundaram, R. G., Gupta, H., & Ramakrishnan, C. (2025) · ACM Transactions on Quantum Computing · doi:10.1145/3757069 · Cited by 3
High-Precision Multi-Qubit Clifford+T Synthesis by Unitary Diagonalization
Weiden, M., Kalloor, J., Kubiatowicz, J., Younis, E., & Iancu, C. (2024) · QPL · doi:10.4204/eptcs.426.8 · Cited by 8
Shuttling for Trapped-Ion Quantum Computers with Embedded Processing Zones
Schoenberger, D., Hilder, J., Schmidt‐Kaler, F., & Wille, R. (2025) · IEEE International Conference on Quantum Software (QSW) · doi:10.1109/qsw67625.2025.00023 · Cited by 2
An experience-based classification of quantum bugs in quantum software
Quetschlich, N., & Matteo, O. D. (2025) · Computing · doi:10.1007/s00607-025-01547-3 · Cited by 1
Suppressing quantum errors by noise-aware circuit design
Hu, Y., Zheng, C., Wang, X., Meng, F., Yu, X., & Zhang, Z. (2025) · Quantum Science and Technology · doi:10.1088/2058-9565/ae05c4 · Cited by 3
Zade, A. A., Sugisaki, K., Werner, M., Palacios, A., Riu, J., Nogué, J., García-Sáez, A., Riera, A., & Prasannaa, V. S. (2025) · The European Physical Journal Plus · doi:10.1140/epjp/s13360-025-06858-0 · Cited by 5
An HPC-Inspired Blueprint for a Technology-Agnostic Quantum Middle Layer
Markidis, S., Netzer, G., Pennati, L., & Peng, I. B. (2025) · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · doi:10.1145/3731599.3767554 · Cited by 1
A Practical Quantum Solver for Multidimensional Partial Differential Equations
Chaudhary, M., El-Araby, K., Nobel, A., Islam, I., Singh, M., Ogundele, S., Egan, K., Thomas, S., Vordtriede, V., Bontrager, D., et al. (2025) · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · doi:10.1145/3731599.3767550 · Cited by 1
Ejima, S., Seki, K., Fauseweh, B., & Yunoki, S. (2025) · Physical Review Research · doi:10.1103/2s2p-kvcx · Cited by 5
Orchestrating Multi-Zone Shuttling in Trapped-Ion Quantum Computers
Schoenberger, D., & Wille, R. (2025) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce65121.2025.00119 · Cited by 1
CONQURE: A Co-Execution Environment for Quantum and Classical Resources
Mahesh, A., & Mueller, F. (2025) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce65121.2025.10290 · Cited by 1
Quantum Circuit Optimization for the Fault-Tolerance Era: Do We Have to Start from Scratch?
Forster, T. V., Quetschlich, N., & Wille, R. (2025) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce65121.2025.00070 · Cited by 1
Quantum state preparation of multiconfigurational states for quantum chemistry
Greene‐Diniz, G., Prokopiou, G., Manrique, D. Z., & Ramo, D. M. (2025) · Digital Discovery · doi:10.1039/d5dd00350d · Cited by 1
Quantum Opacity, Classical Clarity: A Hybrid Approach to Quantum Circuit Obfuscation
Raj, A., & Balachandran, V. (2025) · doi:10.1145/3733817.3762698 · Cited by 1
Pornmaneerattanatri, S., Tsuji, M., Maheshwari, K., & Sato, M. (2026) · doi:10.1145/3784828.3786263 · Cited by 1
Dhankhar, H., & Cazenave, T. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-15931-1_6 · Cited by 1
Quantum artificial intelligence: A comprehensive survey
Jiang, H., Pan, Y., Chen, J., Liu, Z., Sun, L., Li, Q., Zhang, L., Zhu, D., Wang, X., Liu, W., et al. (2026) · Meta-Radiology · doi:10.1016/j.metrad.2026.100205 · Cited by 1
Estimating the Jones polynomial for Ising anyons on noisy quantum computers
Self, C. N., Iblisdir, S., Brennen, G. K., & Meichanetzidis, K. (2026) · Physical Review Research · doi:10.1103/zqzv-zzrp · Cited by 1
Quantum Oracle Synthesis from HDL Designs via Multi Level Intermediate Representation
Lancellotti, G., Buda, F., Carugati, G., Gazzola, D., Barenghi, A., Agosta, G., & Pelosi, G. (2026) · Asia and South Pacific Design Automation Conference (ASP-DAC) · doi:10.1109/asp-dac66049.2026.11420750 · Cited by 1
C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development
Ye, B., Khan, A. A., Pihkakoski, T., Liang, P., Akbar, M. A., Silveri, M., & Malmi, L. (2026) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3803018 · Cited by 1
Kalam, A., Deb, P., Sakurai, A., Sahoo, B. K., Prasannaa, V. S., & Das, B. P. (2026) · Physical Review Research · doi:10.1103/kmb5-nkqz · Cited by 1
Quantum Computing Applications in Engineering: Current Status and Future Prospects
Rukmanikanthan, S., Dullah, H., Teoh, Y. X., & Ahmed, A. N. (2026) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-026-10569-9 · Cited by 1
Chen, X., Zhu, H., Yang, Z., Su, Z., Chen, J., Wu, F., & Zhao, H. (2026) · Design, Automation, and Test in Europe · doi:10.23919/date69613.2026.11539678 · Cited by 1
Rovibrational energy levels of H2O by quantum computing
Lötstedt, E., & Szidarovszky, T. (2026) · The Journal of Chemical Physics · doi:10.1063/5.0333947 · Cited by 2
Zhao, Z., Li, T., & Yin, J. (2026) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3770854.3785697 · Cited by 1
A Pattern Matching Based Framework for Quantum Circuit Rewriting
Jiang, H., Li, D.-K., Deng, Y., & Xu, M. Q. (2024) · Journal of Computer Science and Technology · doi:10.1007/s11390-024-2726-3 · Cited by 2
Weaver: A Retargetable Compiler Framework for FPQA Quantum Architectures
Kırmemiş, O., Romão, F., Giortamis, E., & Bhatotia, P. (2025) · Proceedings of the CGO/Proceedings of the ... CGO · doi:10.1145/3696443.3708965 · Cited by 3
ML-QLS: Multilevel Quantum Layout Synthesis
Lin, W.-H., & Cong, J. (2025) · International Symposium on Physical Design · doi:10.1145/3698364.3705358 · Cited by 3
Solving Multidimensional Partial Differential Equations Using Efficient Quantum Circuits
Chaudhary, M., El-Araby, K., Nobel, A., Jha, V., Kneidel, D., Islam, I., Singh, M., Ogundele, S., Phillips, B., Egan, K., et al. (2025) · Algorithms · doi:10.3390/a18030176 · Cited by 1
An Efficient Quantum Solver for Multidimensional Partial Differential Equations
Chaudhary, M., Islam, I., Levy, D., Nobel, A., Kneidel, D., Jha, V., & El‐Araby, E. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-85884-0_6 · Cited by 1
Nuwa: A Quantum Circuit Transpiler Based on a Finite-Horizon Heuristic for Placement and RoutingPreprint
Ren, S., Chen, K., Ghadermarzy, N., Nguyen, B., Huang, Y., & Ronagh, P. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2110.00592 · Cited by 3
Algorithm-Aware Qubit MappingPreprint
Ji, Y., & Polian, I. (2022) · doi:10.36227/techrxiv.21786146.v1 · Cited by 1
Alvarado-Valiente, J., Romero-Álvarez, J., Casco-Seco, J., Moguel, E., García-Alonso, J., & Murillo, J. M. (2025) · SoftwareX · doi:10.1016/j.softx.2025.102402 · Cited by 1
Testing of flag-based fault-tolerance on IBM quantum devicesPreprint
Lanka, A. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.03224
Representing Matrices Using Algebraic ZX-calculus.Preprint
Wang, Q. (2021) · arXiv (Cornell University)
Quantum Circuits in Additive Hilbert SpacePreprint
Mondada, L. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2111.01211 · Cited by 1
Quantum CompilingPreprint
Maronese, M., Rocutto, L., & Prati, E. (2021) · arXiv (Cornell University)
A Tale of Four Disciplines for All Ages and All Languages
Coecke, B. (2022) · Electronic Proceedings in Theoretical Computer Science · doi:10.4204/eptcs.366.1
Layout Synthesis for Near-Term Quantum Computing: Gap Analysis and Optimal Solution
Tan, D. B., & Cong, J. (2022) · Springer eBooks · doi:10.1007/978-3-031-15699-1_2
Bqa: A High-Performance Quantum Circuits Scheduling Strategy Based on Heuristic SearchPreprint
Chen, X.-M., Wang, S., Ye, Y.-J., Wu, Y.-Z., & Jiang, B. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4261653
Template matching-based connected constraint mapping optimization method for quantum circuits
gao, X., Guan, Z., Feng, S., Liu, R., Qian, Y., Cheng, X., & Zhu, P. (2023) · International Conference on Mechanical, Electronics and Electrical and Automation Control (METMS) · doi:10.1117/12.2679552
Algorithm-Aware Qubit MappingPreprint
Ji, Y., & Polian, I. (2023) · doi:10.36227/techrxiv.21786146.v2
An Ising-based Model for Qubit Mapping
Ushijima‐Mwesigwa, H., & Liu, X. (2023) · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · doi:10.1145/3624062.3624225
Estimating Fidelity Lower Bounds of Quantum Subroutines
Mayer, K., & Baldwin, C. (2023) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce57702.2023.10287
Mitigating CNOT Errors via Noise-aware Token Swapping
Sharma, A., & Banerjee, A. (2023) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce57702.2023.00044
A Systematic Literature Review on Optimization Techniques for Quantum Computing Compilers
da Rocha, C. V. B., Santos, A. L. D., & Souza, M. A. (2023) · doi:10.5753/wscad_estendido.2023.235804
BQA: a high-performance quantum circuits scheduling strategy based on heuristic search
Chen, X.-M., Wang, S., Ye, Y.-J., Wu, Y.-Z., & Jiang, B. (2023) · The Journal of Supercomputing · doi:10.1007/s11227-023-05848-2
Simulation of time-dependent quantum dynamics using quantum computers
Lötstedt, E., Nishi, T., & Yamanouchi, K. (2024) · Advances in atomic, molecular, and optical physics · doi:10.1016/bs.aamop.2024.05.002
Simulation of Time-Dependent Quantum Dynamics Using Quantum Computers
Lötstedt, E., & Yamanouchi, K. (2024) · Topics in applied physics · doi:10.1007/978-3-031-55463-6_7
Ji, Y., & Polian, I. (2024) · OPUS Publication Server of the University of Stuttgart (University of Stuttgart) · doi:10.18419/opus-14924
Performance-Oriented Layout Synthesis for Quantum Computing
Kao, C., & Lin, H.-Y. (2024) · Computer Systems Science and Engineering · doi:10.32604/csse.2024.055073
Genetic Algorithm Based Optimisation Framework for Quantum Circuit Mapping GAQCMPreprint
Lu, K., Li, H., Han, Z., Ju, M., & Liu, S. (2024) · Research Square · doi:10.21203/rs.3.rs-4862662/v1
Kole, A., Datta, K., & Drechsler, R. (2024) · IEEE Computer Society Annual Symposium on VLSI · doi:10.1109/isvlsi61997.2024.00114 · Cited by 1
Efficient Simulation of Open Quantum Systems on NISQ Trapped‐Ion Hardware
Burdine, C., Bauer, N. M., Siopsis, G., & Blair, E. P. (2025) · Advanced Quantum Technologies · doi:10.1002/qute.202400606 · Cited by 3
Quantum Computing: From Weakest Preconditions to Voltage Pulses
Noll, T., Gehnen, C., & Hermanns, R. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-75783-9_9
Shuttling Compiler for a Trapped-Ion Quantum Computer Architecture with Junctions
Kreppel, F., Melzer, C., Wagner, J., Hilder, J., Poschinger, U., Schmidt‐Kaler, F., & Brinkmann, A. (2024) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce60285.2024.00126
Sun, S., Kumar, C., Shen, K., Shishenina, E., & Mendl, C. B. (2025) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.4c07045 · Cited by 1
Scalable Pattern Matching in Computation Graphs
Mondada, L., & Andrés-Martínez, P. (2025) · Electronic Proceedings in Theoretical Computer Science · doi:10.4204/eptcs.417.5
Metadata
- Authors
- Sivarajah, S., Dilkes, S., Cowtan, A., Simmons, W., Edgington, A., & Duncan, R.
- Affiliations
- Cambridge Quantum Computing (United Kingdom) (GB)
- University of Strathclyde (GB)
- Corresponding author
- Sivarajah, Seyon
- Dilkes, Silas
- Cowtan, Alexander
- Simmons, Will
- Edgington, Alec
- Duncan, Ross
- Venue
- Quantum Science and Technology
- Publisher
- IOP Publishing
- Published
- 2020-11-06
- Volume
- 6
- Issue
- 1
- Pages
- 014003
- ISSN
- 2058-9565 (ISSN-L)
- OpenAlex
- W3013348036
- Cited by
- 475
- References
- 80
- Citations by year
- 2026: 69 · 2025: 111 · 2024: 84 · 2023: 88 · 2022: 66 · 2021: 40 · 2020: 16
- FWCI
- 20.64
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Quantum Science and Technology (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Information and Cryptography
- Physical Sciences › Computer Science › Hardware and Architecture › Parallel Computing and Optimization Techniques
- Keywords
- quantum compiler, NISQ devices, quantum circuit optimization, qubit routing, noise mitigation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review