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Superconducting Qubits: Current State of Play
Open accessAbstract
Superconducting qubits are leading candidates in the race to build a quantum computer capable of realizing computations beyond the reach of modern supercomputers. The superconducting qubit modality has been used to demonstrate prototype algorithms in the noisy intermediate-scale quantum (NISQ) technology era, in which non-error-corrected qubits are used to implement quantum simulations and quantum algorithms. With the recent demonstrations of multiple high-fidelity, two-qubit gates as well as operations on logical qubits in extensible superconducting qubit systems, this modality also holds promise for the longer-term goal of building larger-scale error-corrected quantum computers. In this brief review, we discuss several of the recent experimental advances in qubit hardware, gate implementations, readout capabilities, early NISQ algorithm implementations, and quantum error correction using superconducting qubits. Although continued work on many aspects of this technology is certainly necessary, the pace of both conceptual and technical progress in recent years has been impressive, and here we hope to convey the excitement stemming from this progress.
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“Not all cavity EO devices use this coupled-ring-resonator approach; other designs exploit neighboring longitudinal [264] or transverse [190,262,265] optical modes of a single optical resonator, but the principle of operation is the same.”
From Integrated photonics on thin-film lithium niobate (2021) · cites this paper as [264]
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Stable and low loss oxide layer on α-Ta (110) film for superconducting qubits
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BackgroundMethodOne-step implementation of a nonadiabatic geometric fSim gate in superconducting circuits
Yun, M.-R., Shan, Z., Sun, L.-N., Yan, L.-L., Jia, Y., Su, S., & Chen, G. (2024) · Physical Review A · doi:10.1103/physreva.110.022608 · Cited by 5
“Superconducting quantum circuits, due to their scalability and anharmonicity [8–11], provide a promising implementation platform for achieving high-fidelity fSim gates.”
BackgroundTang, J., & Shen, H. Z. (2024) · Physical Review A · doi:10.1103/physreva.110.043706 · Cited by 5
Wafer-Scale Fabrication Technologies for Integrated Superconducting Quantum Circuits
Kaczmarek, L., Schmelz, M., Peiselt, K., Sultanov, A. S., Mutsenik, E., Oelsner, G., & Stolz, R. (2024) · IEEE Transactions on Applied Superconductivity · doi:10.1109/tasc.2024.3516747 · Cited by 5
“Toallowcontroland read-out, the integration of resonators and transmission lines is required to form a scalable quantum circuit [1].”
Haldar, S., Munk, M. I. K., Havir, H., Khan, W. H., Lehmann, S., Thelander, C., Dick, K. A., Samuelsson, P., Potts, P. P., & Maisi, V. F. (2025) · Physical Review Letters · doi:10.1103/physrevlett.134.023601 · Cited by 5
“This is particularly important in solid state quantum systems, such as superconducting [6] or semiconductor spin [7] or charge [8] quantum bits, where sources of decoherence are abundant and can couple into the system via the detector, suppressing quantum coherence.”
Flux-pump-induced degradation of T 1 for dissipative cat qubits
Carde, L., Rouchon, P., Cohen, J., & Petrescu, A. (2025) · Physical Review Applied · doi:10.1103/physrevapplied.23.024073 · Cited by 9
Phase-controlled bound states in giant atom waveguide QED setup
Zhang, X., 朱, M. 明. Z., & Wang, Z. (2025) · Communications in Theoretical Physics · doi:10.1088/1572-9494/addb2a · Cited by 5
Closed-loop optimization for high-fidelity controlled- Z gates in superconducting qubits
Glaser, N. J., Roy, F., Tsitsilin, I., Koch, L., Bruckmoser, N., Schirk, J., Romeiro, J. H., Huber, G. B. P., Wallner, F., Singh, M., et al. (2025) · Physical Review Applied · doi:10.1103/pckq-2csc · Cited by 12
Optimal robust control of cat-state qubits against parameter imperfections
Xu, S.-W., Zhang, Z., Ye, J.-T., Zhang, Z., Guo, Y.-Y., Yan, K.-X., Chen, Y.-H., & Xia, Y. (2025) · Optics Express · doi:10.1364/oe.569776 · Cited by 6
“The proposed protocol is possible to be realized in superconducting circuits as discussed in Appendix A [9,30,54–61], especially the platforms with 3-dimension cavities [11,12,23,62–65].”
Bathalapalli, V. K. V. V., Mohanty, S. P., Pan, C., & Kougianos, E. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3606330 · Cited by 5
Synchrotron Radiation for Quantum Technology
Rader, O., Pascarelli, S., Attenkofer, K., Makarova, A. A., Holldack, K., Roßnagel, K., Temst, K., Kourousias, G., Carretta, S., Biscari, C., et al. (2025) · Advanced Functional Materials · doi:10.1002/adfm.202501043 · Cited by 6
Quantum coherent manipulation and readout of superconducting vortex states
Nambisan, A., Günzler, S., Rieger, D., Gosling, N., Geisert, S., Carpentier, V., Zapata, N., Field, M. E., Miloševıć, M. V., Lopez, C. A. D., et al. (2026) · Nature · doi:10.1038/s41586-026-10441-7 · Cited by 5
“Remarkably, the VQ energy relaxation times are on the order of hundreds of microsec-onds, comparable to those of engineered superconducting qubits [18, 46], and qualitatively distinct from the dissipation expected for Abrikosov vortex dynamics.”
Experimental Distributed Quantum Sensing in a Noisy Environment
Bate, J., Hamann, A., Canteri, M., Winkler, A., Koong, Z. X., Krutyanskiy, V. L., Dür, W., & Lanyon, B. P. (2025) · Physical Review Letters · doi:10.1103/3hgx-wcdn · Cited by 15
“Over distances of hundreds of microns these capabilities are currently under development in various experimental platforms (e.g., [52–55]), and over distances of meters to tens of kilometers there has been significant success establishing entanglement between many of those platforms using traveling…”
Superconducting qubit-resonator quantum processor with effective all-to-all connectivity
Renger, M., Verjauw, J., Wurz, N., Hosseinkhani, A., Ockeloen-Korppi, C. F., Liu, W., Rath, A., Thapa, M., Vigneau, F., Wybo, E., et al. (2025) · Physical Review Research · doi:10.1103/8x68-cx1w · Cited by 15
Two-Photon Interface of Nuclear Spins Based on the Optonuclear Quadrupolar Effect
Xu, H., Li, C., Wang, G., Wang, H., Tang, H., Barr, A., Cappellaro, P., & Li, J. (2023) · Physical Review X · doi:10.1103/physrevx.13.011017 · Cited by 6
“These advances are enabled by the remarkable success of various qubit platforms, including superconducting circuits [1], trapped ions [2], semiconductor defects [3,4], and Rydberg atoms [5,6].”
BackgroundSoliton versus single-photon quantum dynamics in arrays of superconducting qubits
Blain, B., Marchegiani, G., Polo, J., Catelani, G., & Luigi Amico, A. (2023) · Physical Review Research · doi:10.1103/physrevresearch.5.033130 · Cited by 5
Observing quantum many-body scars in random quantum circuits
Andrade, B., Bhattacharya, U., Chhajlany, R. W., Graß, T., & Lewenstein, M. (2024) · Physical Review A · doi:10.1103/physreva.109.052602 · Cited by 6
“There are several different quantum platforms for quantum simulators, such as neutral atoms systems [6, 7], superconducting circuits [8, 9] and trapped ions [10, 11].”
BackgroundDielectric loss due to charged-defect acoustic phonon emission
Turiansky, M. E., & de Walle, C. G. V. (2024) · APL Quantum · doi:10.1063/5.0205532 · Cited by 5
Bit-flip errors in dissipative cat qubits: Second-order perturbation theory
Dubovitskii, K. S. (2025) · Physical Review A · doi:10.1103/physreva.111.012617 · Cited by 10
“Over recent decades, various qubit architectures have been proposed, including plenty of superconducting qubits [1].”
Wright, N. D., Barclay, M. S., Dı́az, S. A., Mathur, D., Ellis, G. A., Knowlton, W. B., Yurke, B., Davis, P. H., Medintz, I. L., Melinger, J. S., et al. (2024) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.4c03246 · Cited by 5
QuAS: Quantum Application Score for Benchmarking the Utility of Quantum Computers
Mesman, K. J., van der Schoot, W., Möller, M., & Neumann, N. M. P. (2024) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce60285.2024.00111 · Cited by 5
“Currently, many different technologies are utilized to realize a quantum device, examples include trapped ions [1], atoms [2], [3], spin systems [4], and superconducting circuits [5], [6].”
BackgroundSketched Nanoscale KTaO 3 -Based Superconducting Quantum Interference Device
Yu, M., Hougland, N., Du, Q., Yang, J., Biswas, S., Ramachandran, R., Yang, D., Bhattacharya, A., Pekker, D., Irvin, P., et al. (2025) · Physical Review X · doi:10.1103/physrevx.15.011037 · Cited by 5
Maiti, S., Banerjee, D., Chakraborty, B., & Huffman, E. (2025) · Physical Review Research · doi:10.1103/physrevresearch.7.013283 · Cited by 11
Approximate inverse measurement channel for shallow shadows
Cioli, R., Ercolessi, E., Ippoliti, M., Turkeshi, X., & Piroli, L. (2025) · Quantum · doi:10.22331/q-2025-04-08-1698 · Cited by 5
Density matrix renormalization group study of domain wall qubits
Qu, G., Zou, J., Loss, D., & Hirosawa, T. (2025) · Physical review. B./Physical review. B · doi:10.1103/mpgp-pqk2 · Cited by 5
Quantum long short-term memory for drug discovery
Zhang, L., Xu, Y., Wu, M., Wang, L., & Xu, H. (2026) · EPJ Quantum Technology · doi:10.1140/epjqt/s40507-026-00467-1 · Cited by 11
“Given this, it is reasonable to infer that the runtime of the VQC scales approximately linearly with the number of qubits [43].”
Minimal time robust control for two superconducting qubits
George, N., Allen, J. L., Kosut, R. L., & Ginossar, E. (2025) · Scientific Reports · doi:10.1038/s41598-025-32747-8 · Cited by 7
“Superconducting qubits are among the most promising candidates for quantum computing architectures [1, 2, 3, 4].”
Hybrid quantum error correction in qubit architectures
Kristensen, L. B., Kjærgaard, M., Andersen, C. K., & Zinner, N. T. (2023) · Physical Review A · doi:10.1103/physreva.108.022403 · Cited by 9
“Nevertheless, for many of the most promising architectures, achieving error rates low enough to perform quantum computational tasks to arbitrary precision still poses a significant challenge [7, 8].”
BackgroundNearly optimal time-independent reversal of a spin chain
Bapat, A., Schoute, E., Gorshkov, A. V., & Childs, A. M. (2022) · Physical Review Research · doi:10.1103/physrevresearch.4.l012023 · Cited by 6
Intelligent pharmaceutical patent search on a near-term gate-based quantum computer
Wang, P., Chen, J., & Tseng, Y. J. (2022) · Scientific Reports · doi:10.1038/s41598-021-04031-y · Cited by 5
Low rank approximation in simulations of quantum algorithms
Ma, L., & Yang, C. (2022) · Journal of Computational Science · doi:10.1016/j.jocs.2022.101561 · Cited by 5
Zhu, Q., Lü, C., Wu, J., & Li, Y. (2022) · Laser Physics Letters · doi:10.1088/1612-202x/ac83c2 · Cited by 5
Unveiling and veiling an entangled light-matter quantum state from the vacuum
Stassi, R., Cirio, M., Funo, K., Puebla, J., Lambert, N., & Nori, F. (2023) · Physical Review Research · doi:10.1103/physrevresearch.5.043095 · Cited by 5
Tuning the supercurrent distribution in parallel ballistic graphene Josephson junctions
Schmidt, P., Banszerus, L., Frohn, B., Blien, S., Watanabe, K., Taniguchi, T., Hüttel, A. K., Beschoten, B., Hassler, F., & Stampfer, C. (2023) · Physical Review Applied · doi:10.1103/physrevapplied.20.054049 · Cited by 5
Metadata
- Authors
- Kjaergaard, M., Schwartz, M. E., Braumüller, J., Krantz, P., Wang, J. I.-J., Gustavsson, S., & Oliver, W. D.
- Affiliations
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA;
- MIT Lincoln Laboratory (US)
- Massachusetts Institute of Technology (US)
- Chalmers University of Technology (SE)
- ORCID
- Venue
- Annual Review of Condensed Matter Physics
- Publisher
- Annual Reviews
- Published
- 2020-03-10
- Volume
- 11
- Issue
- 1
- Pages
- 369-395
- ISSN
- 1947-5454 (ISSN-L)
- 1947-5462
- OpenAlex
- W2947902637
- Cited by
- 1,544
- References
- 184
- Citations by year
- 2026: 233 · 2025: 333 · 2024: 269 · 2023: 230 · 2022: 219 · 2021: 192 · 2020: 68
- FWCI
- 7.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Annual Review of Condensed Matter Physics (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Science Foundation (FA8721-05-C-0002, 1720311)
- Office of the Director of National Intelligence
- Knut och Alice Wallenbergs Stiftelse
- Intelligence Advanced Research Projects Activity (FA8721-05-C-0002)
- Multidisciplinary University Research Initiative (W911NF1810218)
- Wallenberg Centre for Molecular and Translational Medicine
- Wallenberg Center for Quantum Technology, Chalmers University of Technology
- Army Research Office (W911NF-18-1-0116, W911NF1810218, W911NF-18-1-0411, W911NF-14-1, W911NF-141-0682, W911NF)
- Topics
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Information and Cryptography
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Superconducting and THz Device Technology
- Keywords
- superconducting qubits, quantum computing hardware, noisy intermediate-scale quantum computing, two-qubit gate fidelity, qubit readout, logical qubits, quantum error correction, quantum algorithms, quantum simulation
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