The DOI matches its Crossref record; 57 of the 58 references it cites were found in a registry or an index, and 1 are not checked yet.
Full-stack, real-system quantum computer studies: architectural comparisons and design insights
Open accessAbstract
In recent years, Quantum Computing (QC) has progressed to the point where small working prototypes are available for use. Termed Noisy Intermediate-Scale Quantum (NISQ) computers, these prototypes are too small for large benchmarks or even for Quantum Error Correction (QEC), but they do have sufficient resources to run small benchmarks, particularly if compiled with optimizations to make use of scarce qubits and limited operation counts and coherence times. QC has not yet, however, settled on a particular preferred device implementation technology, and indeed different NISQ prototypes implement qubits with very different physical approaches and therefore widely-varying device and machine characteristics.
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“These multi-controlled operations are not natively supported by most available NISQ devices [201], limiting the practical applicability of approaches relying on this concept.”
From Quantum Combinatorial Optimization in the NISQ Era: A Systematic Mapping Study (2024) · cites this paper as [201]
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Cites
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Cited by
Sorted by citations
Benchmarking an 11-qubit quantum computer
Wright, K., Beck, K. M., Debnath, S., Amini, J., Nam, Y., Grzesiak, N., Chen, J.-S., Pisenti, N. C., Chmielewski, M., Collins, C., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13534-2 · Cited by 575
t|ket⟩: a retargetable compiler for NISQ devices
Sivarajah, S., Dilkes, S., Cowtan, A., Simmons, W., Edgington, A., & Duncan, R. (2021) · Quantum Science and Technology · doi:10.1088/2058-9565/ab8e92 · Cited by 475
Software Mitigation of Crosstalk on Noisy Intermediate-Scale Quantum Computers
Murali, P., Mckay, D. C., Martonosi, M., & Javadi-Abhari, A. (2020) · Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems · doi:10.1145/3373376.3378477 · Cited by 253
Self-citationChallenges and Opportunities of Near-Term Quantum Computing Systems
Corcoles, A. D., Kandala, A., Javadi-Abhari, A., McClure, D. T., Cross, A. W., Temme, K., Nation, P. D., Steffen, M., & Gambetta, J. M. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2954005 · Cited by 203
Self-citationQASMBench: A Low-Level Quantum Benchmark Suite for NISQ Evaluation and Simulation
Li, A., Stein, S., Krishnamoorthy, S., & Ang, J. (2023) · ACM Transactions on Quantum Computing · doi:10.1145/3550488 · Cited by 183
Metadata
- Authors
- Murali, P., Linke, N. M., Martonosi, M., Abhari, A. J., Nguyen, N. H., & Alderete, C. H.
- Affiliations
- Princeton University (US)
- University of Maryland, College Park (US)
- IBM T. J. Watson Research Center
- ORCID
- Venue
- Proceedings of the 46th International Symposium on Computer Architecture
- Publisher
- ACM
- Published
- 2019-06-22
- Pages
- 527-540
- ISSN
- 1063-6897 (ISSN-L)
- OpenAlex
- W2950036696
- Cited by
- 128
- References
- 57
- Citations by year
- 2026: 11 · 2025: 5 · 2024: 11 · 2023: 16 · 2022: 29 · 2021: 25 · 2020: 27 · 2019: 4
- FWCI
- 8.13
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings - International Symposium on Computer Architecture/Proceedings (publishedVersion)
- Funders
- National Science Foundation (1730449)
- 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 computing, NISQ devices, quantum error correction, quantum benchmarking, quantum circuit compilation, coherence time
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