Quantum circuit engineering for correcting coherent noise
Open accessPublished version of a preprint
Abstract
Crosstalk and several forms of coherent noise are invisible when a qubit or a gate is calibrated or benchmarked in isolation. These are unlocked during the execution of a full quantum circuit applying entangling gates to several qubits simultaneously. Unitary crosstalk noise, such as an unwanted Z-Z coupling, limits the state fidelity during the execution of cross-resonance controlled-not (cnot) gates in superconductor quantum computers. This work presents (1) a method of tracing coherent errors by exploiting their sensitivity to the arrangement of cnot gates in the circuit and (2) a correction scheme that modifies the original circuit by inserting carefully the chosen compensating gates (single- or two-qubit) to possibly undo coherent errors. On two vastly different types of IBMQ processors offering quantum volume 8 to 32, our experimental results show up to 25% reduction in the infidelity of $[[7,1,3]]$ code $|+\ensuremath{\rangle}$ state (Clifford circuits) and five- to 15-qubit $W$ states (non-Clifford circuits). Our experimental circuits aggressively deploy forced commutation of cnot gates to obtain low-noise state-preparation circuits. An encoded state initialized with fewer errors marks an important step towards successful demonstration of fault-tolerant quantum computers.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Higher levels of entanglement are accompanied by higher levels of accumulated noise and error in the circuits.
“This is accompanied by higher levels of accumulated noise and error in the circuits77.”
From Parameterized quantum random number generators for superconducting quantum hardware: novel architectures and NIST SP 800-22 evaluation under IBM noisy simulators (2026) · cites this paper as [77]
The Introduction (p. 1) says sequences of CNOT gates add context-dependent noise, and Previous Work (p. 9) says many entangling gates can accumulate enough errors to impair later operations. These passages support a link between more entangling gates and accumulated error, but do not establish that higher levels of entanglement itself are accompanied by higher noise and error. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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 · see citing works
Dynamical suppression of decoherence in two-state quantum systems
Viola, L., & Lloyd, S. (1998) · Physical Review A · doi:10.1103/physreva.58.2733 · Cited by 1,554 · see citing works
Superconducting Qubits: Current State of Play
Kjaergaard, M., Schwartz, M. E., Braumüller, J., Krantz, P., Wang, J. I.-J., Gustavsson, S., & Oliver, W. D. (2020) · Annual Review of Condensed Matter Physics · doi:10.1146/annurev-conmatphys-031119-050605 · Cited by 1,544 · cited 10× · see citing works
“[[7, 1, 3]] State preparation (encoding) circuits”
BackgroundResultInfluentialColloquium : Non-Markovian dynamics in open quantum systems
Breuer, H., Laine, E.-M., Piilo, J., & Vacchini, B. (2016) · Reviews of Modern Physics · doi:10.1103/revmodphys.88.021002 · Cited by 1,386 · see citing works
Error Mitigation for Short-Depth Quantum Circuits
Temme, K., Bravyi, S., & Gambetta, J. M. (2017) · Physical Review Letters · doi:10.1103/physrevlett.119.180509 · Cited by 1,379 · see citing works
Superconducting Qubits: Current State of PlayPreprint
Kjærgaard, M., Schwartz, M. E., Braumüller, J., Krantz, P., Wang, J. I.-J., Gustavsson, S., & Oliver, W. D. (2020) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 1,182 · see citing works
Multiple particle interference and quantum error correction
Steane, A. M. (1996) · Cited by 871 · see citing works
Quantum accuracy threshold for concatenated distance-3 codesPreprint
Aliferis, P., Gottesman, D., & Preskill, J. (2005) · Quantum information & computation · doi:10.48550/arxiv.quant-ph/0504218 · Cited by 564 · see citing works
Practical Quantum Error Mitigation for Near-Future Applications
Endo, S., Benjamin, S. C., & Li, Y. (2018) · Physical Review X · doi:10.1103/physrevx.8.031027 · Cited by 562 · see citing works
Noise tailoring for scalable quantum computation via randomized compiling
Wallman, J. J., & Emerson, J. (2016) · Physical Review A · doi:10.1103/physreva.94.052325 · Cited by 535 · see citing works
Simple All-Microwave Entangling Gate for Fixed-Frequency Superconducting Qubits
Chow, J. M., Corcoles, A. D., Gambetta, J., Rigetti, C. T., Johnson, B., Smolin, J. A., Rozen, J., Keefe, G., Rothwell, M. B., Ketchen, M. B., et al. (2011) · Physical Review Letters · doi:10.1103/physrevlett.107.080502 · Cited by 463 · see citing works
Quantum accuracy threshold for concatenated distance-3 code
Aliferis, P., Gottesman, D., & Preskill, J. (2006) · Quantum Information and Computation · doi:10.26421/qic6.2-1 · Cited by 412 · see citing works
Rigetti, C. T., & Devoret, M. (2010) · Physical Review B · doi:10.1103/physrevb.81.134507 · Cited by 357 · see citing works
Mitigating measurement errors in multiqubit experiments
Bravyi, S., Sheldon, S., Kandala, A., Mckay, D. C., & Gambetta, J. M. (2021) · Physical Review A · doi:10.1103/physreva.103.042605 · Cited by 343 · see citing works
Universal quantum logic in hot silicon qubits
Petit, L., Eenink, H. G. J., Rimbach-Russ, M., Lawrie, W. I. L., Hendrickx, N. W., Philips, S. G. J., Clarke, J. S., Vandersypen, L. M. K., & Veldhorst, M. (2020) · Nature · doi:10.1038/s41586-020-2170-7 · Cited by 313 · see citing works
Realization of Real-Time Fault-Tolerant Quantum Error Correction
Ryan-Anderson, C., Bohnet, J. G., Lee, K., Gresh, D., Hankin, A., Gaebler, J. P., Francois, D., Chernoguzov, A., Lucchetti, D., Brown, N. C., et al. (2021) · Physical Review X · doi:10.1103/physrevx.11.041058 · Cited by 306 · see citing works
Characterizing large-scale quantum computers via cycle benchmarking
Erhard, A., Wallman, J. J., Postler, L., Meth, M., Stricker, R., Martinez, E. A., Schindler, P., Monz, T., Emerson, J., & Blatt, R. (2019) · Nature Communications · doi:10.1038/s41467-019-13068-7 · Cited by 254 · see citing works
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 · see citing works
Detecting crosstalk errors in quantum information processors
Sarovar, M., Proctor, T. J., Rudinger, K., Young, K., Nielsen, E., & Blume-Kohout, R. (2020) · Quantum · doi:10.22331/q-2020-09-11-321 · Cited by 249 · see citing works
Fault-tolerant operation of a logical qubit in a diamond quantum processor
Abobeih, M. H., Wang, Y., Randall, J., Loenen, S. J. H., Bradley, C. E., Markham, M., Twitchen, D. J., Terhal, B. M., & Taminiau, T. H. (2022) · Nature · doi:10.1038/s41586-022-04819-6 · Cited by 230 · see citing works
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits
Wang, H., Ding, Y., Gu, J., Lin, Y., Pan, D. Z., Chong, F. T., & Han, S. (2022) · IEEE International Symposium on High-Performance Computer Architecture (HPCA) · doi:10.1109/hpca53966.2022.00057 · Cited by 215 · see citing works
Leakage reduction in fast superconducting qubit gates via optimal control
Werninghaus, M., Egger, D. J., Roy, F., Machnes, S., Wilhelm, F. K., & Filipp, S. (2021) · npj Quantum Information · doi:10.1038/s41534-020-00346-2 · Cited by 195 · see citing works
Random Decoupling Schemes for Quantum Dynamical Control and Error Suppression
Viola, L., & Knill, E. (2005) · Physical Review Letters · doi:10.1103/physrevlett.94.060502 · Cited by 180 · see citing works
Non-Markovianity through Accessible Information
Fanchini, F. F., Karpat, G., Çakmak, B., Castelano, L. K., Aguilar, G. H., Farías, O. J., Walborn, S. P., Ribeiro, P. H. S., & de Oliveira, M. C. (2014) · Physical Review Letters · doi:10.1103/physrevlett.112.210402 · Cited by 179 · see citing works
Randomized Compiling for Scalable Quantum Computing on a Noisy Superconducting Quantum Processor
Hashim, A., Naik, R., Morvan, A., Ville, J.-L., Mitchell, B., Kreikebaum, J. M., Davis, M., Smith, E., Iancu, C., O’Brien, K. P., et al. (2021) · Physical Review X · doi:10.1103/physrevx.11.041039 · Cited by 161 · see citing works
Three-Qubit Randomized Benchmarking
McKay, D. C., Sheldon, S., Smolin, J. A., Chow, J. M., & Gambetta, J. M. (2019) · Physical Review Letters · doi:10.1103/physrevlett.122.200502 · Cited by 156 · see citing works
Reducing Unitary and Spectator Errors in Cross Resonance with Optimized Rotary Echoes
Sundaresan, N., Lauer, I., Pritchett, E., Magesan, E., Jurcevic, P., & Gambetta, J. M. (2020) · PRX Quantum · doi:10.1103/prxquantum.1.020318 · Cited by 154 · see citing works
Suppression of Crosstalk in Superconducting Qubits Using Dynamical Decoupling
Tripathi, V., Chen, H., Khezri, M., Yip, K.-W., Levenson-Falk, E. M., & Lidar, D. A. (2022) · Physical Review Applied · doi:10.1103/physrevapplied.18.024068 · Cited by 138 · see citing works
Fault-Tolerant Logical Gates in the IBM Quantum Experience
Harper, R., & Flammia, S. T. (2019) · Physical Review Letters · doi:10.1103/physrevlett.122.080504 · Cited by 128 · see citing works
Optimization of quantum circuit mapping using gate transformation and commutation
Itoko, T., Raymond, R., Imamichi, T., & Matsuo, A. (2019) · Integration · doi:10.1016/j.vlsi.2019.10.004 · Cited by 115 · see citing works
Extracting Success from IBM’s 20-Qubit Machines Using Error-Aware Compilation
Nishio, S., Pan, Y., Satoh, T., Amano, H., & Meter, R. V. (2020) · ACM Journal on Emerging Technologies in Computing Systems · doi:10.1145/3386162 · Cited by 114 · see citing works
Larus, J., Switzerland, A. '. A. S. F. P. L. A. O. S. 2. L., Association for Computing Machinery-Digital Library, ACM Special Interest Group on Computer Architecture, ACM Special Interest Group on Embedded Systems, ACM Special Interest Group on Operating Systems, ACM Special Interest Group on Programming Languages, & SIGs, A. (2020) · doi:10.1145/3373376 · Cited by 107 · see citing works
Efficient arbitrary simultaneously entangling gates on a trapped-ion quantum computer
Grzesiak, N., Blümel, R., Wright, K., Beck, K. M., Pisenti, N. C., Li, M., Chaplin, V. L., Amini, J., Debnath, S., Chen, J.-S., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16790-9 · Cited by 101 · see citing works
High-Contrast Z Z Interaction Using Superconducting Qubits with Opposite-Sign Anharmonicity
Zhao, P., Xu, P., Lan, D., Chu, J., Tan, X., Yu, H., & Yu, Y. (2020) · Physical Review Letters · doi:10.1103/physrevlett.125.200503 · Cited by 94 · see citing works
Demonstration of quantum volume 64 on a superconducting quantum computing system
Jurcevic, P., Javadi-Abhari, A., Bishop, L. S., Lauer, I., Bogorin, D. F., Brink, M., Capelluto, L., Günlük, O., Itoko, T., Kanazawa, N., et al. (2021) · Quantum Science and Technology · doi:10.1088/2058-9565/abe519 · Cited by 85 · see citing works
Dynamical decoupling using slow pulses: Efficient suppression of 1/f noise
Shiokawa, K., & Lidar, D. A. (2004) · Physical Review A · doi:10.1103/physreva.69.030302 · Cited by 83 · see citing works
Modeling coherent errors in quantum error correction
Greenbaum, D., & Dutton, Z. (2017) · Quantum Science and Technology · doi:10.1088/2058-9565/aa9a06 · Cited by 81 · see citing works
All-optical non-Markovian stroboscopic quantum simulator
Jin, J., Giovannetti, V., Fazio, R., Sciarrino, F., Mataloni, P., Crespi, A., & Osellame, R. (2015) · Physical Review A · doi:10.1103/physreva.91.012122 · Cited by 62 · see citing works
Coherence in logical quantum channels
Iverson, J. K., & Preskill, J. (2020) · New Journal of Physics · doi:10.1088/1367-2630/ab8e5c · Cited by 61 · see citing works
Errors and pseudothresholds for incoherent and coherent noise
Gutiérrez, M., Smith, C., Lulushi, L., Janardan, S., & Brown, K. R. (2016) · Physical Review A · doi:10.1103/physreva.94.042338 · Cited by 57 · see citing works
Achieving high-fidelity single-qubit gates in a strongly driven charge qubit with 1/f charge noise
Yang, Y., Coppersmith, S. N., & Friesen, M. G. (2019) · npj Quantum Information · doi:10.1038/s41534-019-0127-1 · Cited by 56 · see citing works
Just-in-time Quantum Circuit Transpilation Reduces Noise
Wilson, E., Singh, S., & Mueller, F. (2020) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce49297.2020.00050 · Cited by 48 · see citing works
Error-Transparent Quantum Gates for Small Logical Qubit Architectures
Kapit, E. (2018) · Physical Review Letters · doi:10.1103/physrevlett.120.050503 · Cited by 37 · see citing works
Non-Markovian Noise Characterization with the Transfer Tensor Method
Chen, Y., Ma, K., Zheng, Y.-C., Allcock, J., Zhang, S., & Hsieh, C. (2020) · Physical Review Applied · doi:10.1103/physrevapplied.13.034045 · Cited by 37 · see citing works
Realization of real-time fault-tolerant quantum error correction
Ryan-Anderson, C., Bohnet, J., Lee, K., Gresh, D., Hankin, A. M., Gaebler, J., Francois, D., Chernoguzov, A., Lucchetti, D., Brown, N., et al. (2022) · Quantum Computing, Communication, and Simulation · doi:10.1117/12.2614870 · Cited by 35 · see citing works
Edmunds, C., Hempel, C., Harris, R. J., Frey, V., Stace, T. M., & Biercuk, M. J. (2020) · Physical Review Research · doi:10.1103/physrevresearch.2.013156 · Cited by 28 · see citing works
Demonstrating NISQ era challenges in algorithm design on IBM’s 20 qubit quantum computer
Koch, D., Martin, B., Patel, S., Wessing, L., & Alsing, P. M. (2020) · AIP Advances · doi:10.1063/5.0015526 · Cited by 24 · see citing works
Fault-tolerant operation of a logical qubit in a diamond quantum processor
Abobeih, M. H., Wang, Y., Randall, J., Loenen, S. J. H., Bradley, C. E., Markham, M., Twitchen, D. J., Terhal, B. M., & Taminiau, T. H. (2022) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.6461871 · Cited by 9 · see citing works
High-fidelity two-qubit gates in silicon above one KelvinPreprint
Petit, L., Russ, M., Eenink, H. G. J., Lawrie, W. I. L., Clarke, J. S., Vandersypen, L. M. K., & Veldhorst, M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.09034 · Cited by 7 · see citing works
Performance of topological quantum error correction in the presence of correlated noise
Ahsan, M., & Naqvi, S. A. Z. (2018) · Quantum Information and Computation · doi:10.26421/qic18.9-10-2 · Cited by 3 · see citing works
Self-citationReconfiguring quantum error-correcting codes for real-life errors
Ahsan, M., & Naqvi, S. A. Z. (2020) · Journal of Physics D Applied Physics · doi:10.1088/1361-6463/ab96eb · Cited by 3 · see citing works
Self-citationNon-Markovianity through Accessible Information
Fanchini, F. F., Karpat, G., Çakmak, B., Castelano, L. K., Aguilar, G. H., Farías, O. J., Walborn, S. P., Ribeiro, P. H. S., & de Oliveira, M. C. (2014) · Latin America Optics and Photonics Conference · doi:10.1364/laop.2014.ltu1b.3 · Cited by 2 · see citing works
Reconfiguring Quantum Error-correcting Codes for Real-life ErrorsPreprint
Ahsan, M. (2023) · doi:10.36227/techrxiv.23786790.v1 · Cited by 1 · see citing works
Self-citation
Flagged first, then by citations
8 of the 63 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- [35]J. Jin, V. Giovannetti, R. Fazio, F. Sciarrino, P. Mataloni, A. Crespi, and R. Osellame, All-optical nonmarkovian stroboscopic quantum simulator, Physical Review A 91 , 012122 (2015).
Cited by
Sorted by citations
Variational Quantum Pulse Learning
Liang, Z., Wang, H., Cheng, J., Ding, Y., Ren, H., Gao, Z., Hu, Z., Boning, D. S., Qian, X., Han, S., et al. (2022) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce53715.2022.00078 · Cited by 36 · 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
Noise dynamics of quantum annealers: estimating the effective noise using idle qubits
Pelofske, E., Hahn, G., & Djidjev, H. N. (2023) · Quantum Science and Technology · doi:10.1088/2058-9565/accbe6 · Cited by 12 · see citing works
QuantumLeak: Stealing Quantum Neural Networks from Cloud-based NISQ Machines
Fu, Z., Yang, M., Chu, C., Xu, Y., Huang, G., & Chen, F. (2024) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn60899.2024.10651540 · Cited by 9 · see citing works
Toward a Hybrid Quantum Differential Privacy
Song, B., Pokhrel, S. R., Vasilakos, A. V., Zhu, T., & Li, G. (2025) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2025.3568046 · Cited by 6 · see citing works
Datta, K., Kole, A., Sengupta, I., & Drechsler, R. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-38100-3_14 · Cited by 6 · see citing works
JustQ: Automated Deployment of Fair and Accurate Quantum Neural Networks
Wang, R., Yara, F. B., & Chen, F. (2024) · Asia and South Pacific Design Automation Conference (ASP-DAC) · doi:10.1109/asp-dac58780.2024.10473829 · Cited by 5 · see citing works
Quantum information processing with superconducting circuits: A perspective
Wendin, G. P. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-90800-9.00226-2 · Cited by 11 · see citing works
QM-DLA: an efficient qubit mapping method based on dynamic look-ahead strategy
Liu, H., Zhang, B., Zhu, Y., Yang, H., & Zhao, B. (2024) · Scientific Reports · doi:10.1038/s41598-024-64061-0 · Cited by 4 · see citing works
Enhancing Virtual Distillation with Circuit Cutting for Quantum Error Mitigation
Li, P., Liu, J., Patil, H. P., Hovland, P., & Zhou, H. (2023) · IEEE International Conference on Computer Design: VLSI in Computers and Processors (ICCD) · doi:10.1109/iccd58817.2023.00024 · Cited by 4 · see citing works
Estimating Coherent Contributions to the Error Profile Using Cycle Error Reconstruction
Carignan-Dugas, A., Ranu, S. K., & Dreher, P. (2024) · Quantum · doi:10.22331/q-2024-06-13-1367 · Cited by 4 · see citing works
PULSEE: A software for the quantum simulation of an extensive set of magnetic resonance observables
Candoli, D., Nikolov, I. K., Brito, L. Z., Carr, S., Sanna, S., & Mitrović, V. F. (2022) · Computer Physics Communications · doi:10.1016/j.cpc.2022.108598 · Cited by 2 · see citing works
Exploiting the Extended Neighborhood of Hexagonal Qubit Architecture for Mapping Quantum Circuits
Kole, A., Datta, K., Sengupta, I., & Drechsler, R. (2024) · ACM Journal on Emerging Technologies in Computing Systems · doi:10.1145/3688391 · Cited by 1 · see citing works
Secure nano-communication framework using RSCV cryptographic circuit in IBM Q
Kundu, A., Das, J. C., Debnath, B., De, D., & Sarkar, A. (2023) · Physica Scripta · doi:10.1088/1402-4896/ad1740 · Cited by 2 · see citing works
Rebón, J. C., & Delgado, F. (2025) · Entropy · doi:10.3390/e27111089 · Cited by 1 · see citing works
Tailoring transport in quantum spin chains via disorder and collisions
Stanzione, V., Civolani, A., Malo, J. Y., & Chiofalo, M. L. (2025) · Physical review. B./Physical review. B · doi:10.1103/zt36-nkbv · Cited by 1 · see citing works
Layered KIK quantum error mitigation for dynamic circuits
Bar, B., Santos, J. P., & Uzdin, R. (2026) · npj Quantum Information · doi:10.1038/s41534-026-01207-0 · Cited by 1 · see citing works
Salehi, R., Malik, A. W., Novotny, M. A., & Khan, S. U. (2026) · Scientific Reports · doi:10.1038/s41598-026-51033-9
Nonclassicality and Coherent Error Detection via Pseudo-Entropy
Katz, A., Bloch, S., & Cohen, E. (2025) · Entropy · doi:10.3390/e27111165
Ahsan, M. (2026) · ACM Transactions on Quantum Computing · doi:10.1145/3815786
Self-citationDaka, C., & Bhattacharyya, S. (2026) · New Journal of Physics · doi:10.1088/1367-2630/ae8053
Multipartite entanglement generation via unsharp-measurement-feedback control
Ran, D., He, Z., Su, P., Dang, S., Li, Y.-D., & Liu, S. (2026) · Physical Review A · doi:10.1103/qj72-3m1r
- Authors
- Ahsan, M., Naqvi, S. A. Z., & Anwer, H.
- Affiliations
- University of Engineering and Technology Lahore (PK)
- Venue
- Physical Review A
- Publisher
- American Physical Society (APS)
- Published
- 2022-02-18
- Volume
- 105
- Issue
- 2
- ISSN
- 0556-2791 (ISSN-L)
- 2469-9926
- 2469-9934
- OpenAlex
- W3196799976
- Cited by
- 22
- References
- 63
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 6 · 2023: 5 · 2022: 2
- FWCI
- 1.40
- Type
- journal article
- Language
- en
- Update notices
- correction (2022-03-01)
- Open access
- green
- dx.doi.org
- Licence
- Locations
- Physical Review A (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- arXiv (Cornell University)
- Funders
- International Business Machines Corporation
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum many-body systems
- Keywords
- coherent noise, crosstalk, superconducting qubits, error correction, W state, Clifford circuits, state fidelity, fault tolerance
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