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arxiv: 2605.14656 · v1 · pith:JK5IBQ4Gnew · submitted 2026-05-14 · 🪐 quant-ph

Blind Quantum Computation on a Modular Superconducting Processor

Pith reviewed 2026-06-30 20:35 UTC · model grok-4.3

classification 🪐 quant-ph
keywords blind quantum computationmeasurement-based quantum computationsuperconducting quantum processorcluster stateDeutsch-Jozsa algorithmquantum privacymodular quantum computingflip-chip bonding
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The pith

A modular superconducting processor executes blind quantum computation on a three-qubit Deutsch-Jozsa instance while the server learns negligible information.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper establishes that blind quantum computation works on current superconducting hardware by splitting the task between two flip-chip modules: the server prepares and sends a two-dimensional cluster state, and the client applies adaptive single-qubit rotations and measurements to run the algorithm. This matters because it supplies information-theoretic privacy without the client needing to trust the server or reveal the circuit. They demonstrate the protocol with a three-qubit Deutsch-Jozsa algorithm and confirm blindness by tomography on the server state after each client rotation, showing consistency with the one-way information flow. The result indicates that modular architectures can host the required entanglement transfer at the scale needed for small blind protocols.

Core claim

We execute a measurement-based blind quantum computation protocol on a superconducting processor comprising two flip-chip-bonded modules, one acting as a server and the other as a client. The server generates a two-dimensional cluster state and forwards it to the client. Using this resource, the client implements a universal gate set with only adaptive single-qubit rotations and measurements. To illustrate this approach, we execute a three-qubit instance of the Deutsch-Jozsa algorithm. We analyze the server's quantum state after each rotation of a measurement-based single-qubit gate to verify that negligible information about the computation is revealed to the server, consistent with the one

What carries the argument

The two-dimensional cluster state generated on the server module and transferred to the client module, which supplies the resource for the client's adaptive measurements while enforcing one-way information flow.

If this is right

  • The protocol succeeds on flip-chip modular superconducting hardware with the reported state transfer.
  • A universal gate set is realized through adaptive single-qubit operations on the received cluster state.
  • Blindness holds for the three-qubit Deutsch-Jozsa instance as shown by the tomography results.
  • Intermediate-scale blind protocols become feasible once gate fidelities improve as stated.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Higher-fidelity inter-module links would be required before the same architecture can run larger blind algorithms without the leakage floor rising.
  • The demonstrated one-way cluster-state flow could be combined with error-corrected logical qubits to test privacy at the scale where classical simulation becomes impossible.
  • The same modular split might be adapted to other hardware platforms that support cluster-state generation to compare leakage rates under different noise models.

Load-bearing premise

The modular flip-chip connection transfers the cluster state with fidelity high enough that the server's post-rotation tomography accurately reflects only the intended one-way information flow rather than extra leakage from hardware noise.

What would settle it

Tomography on the server module that reveals statistically significant correlation between its remaining state and the client's secret measurement angles or algorithm choice would falsify the blindness claim.

Figures

Figures reproduced from arXiv: 2605.14656 by Andreas Wallraff, Jean-Claude Besse, Johannes Kn\"orzer, Kieran Dalton, Yongxin Song.

Figure 1
Figure 1. Figure 1: FIG. 1 [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2 [PITH_FULL_IMAGE:figures/full_fig_p003_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3 [PITH_FULL_IMAGE:figures/full_fig_p004_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4 [PITH_FULL_IMAGE:figures/full_fig_p005_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5 [PITH_FULL_IMAGE:figures/full_fig_p006_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6 [PITH_FULL_IMAGE:figures/full_fig_p008_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: FIG. 7 [PITH_FULL_IMAGE:figures/full_fig_p009_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: FIG. 8 [PITH_FULL_IMAGE:figures/full_fig_p009_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: FIG. 9 [PITH_FULL_IMAGE:figures/full_fig_p011_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: FIG. 10 [PITH_FULL_IMAGE:figures/full_fig_p012_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: We extract a 0.902 and 0.845 process fidelity from the two sequences, respectively. In both cases, we observe that the residual errors mostly appear on the di￾agonal elements of the process matrices. This behavior arises because the random mid-circuit projective mea￾surements effectively implement Pauli twirling, which de￾polarizes coherent errors. Errors on the off-diagonal ele￾ments are still visible an… view at source ↗
read the original abstract

Current cloud-based quantum processors offer access to advanced hardware hosted on a remote server, but do not guarantee data or algorithm privacy. Blind quantum computation provides information-theoretic privacy by enabling a client to execute an algorithm without disclosing information about either the task or the final result. Here, we execute a measurement-based blind quantum computation protocol on a superconducting processor comprising two flip-chip-bonded modules, one acting as a server and the other as a client. The server generates a two-dimensional cluster state and forwards it to the client. Using this resource, the client implements a universal gate set with only adaptive single-qubit rotations and measurements. To illustrate this approach, we execute a three-qubit instance of the Deutsch-Jozsa algorithm. We analyze the server's quantum state after each rotation of a measurement-based single-qubit gate to verify that negligible information about the computation is revealed to the server, consistent with the one-way flow of information that guarantees blindness. This proof-of-principle demonstration establishes key elements of blind quantum computation in superconducting-circuit architectures, indicating that intermediate-scale implementations of blind protocols may become feasible with realistic near-term improvements in gate fidelities.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

3 major / 1 minor

Summary. The manuscript reports an experimental implementation of a measurement-based blind quantum computation protocol on a modular superconducting processor with two flip-chip-bonded modules. The server generates and forwards a 2D cluster state to the client, which executes a three-qubit Deutsch-Jozsa algorithm via adaptive single-qubit rotations and measurements; post-protocol tomography on the server is used to verify that negligible information about the computation is revealed, consistent with the one-way information flow that guarantees blindness.

Significance. If the quantitative experimental details support the claims, this would constitute a notable proof-of-principle demonstration of blind quantum computation in superconducting circuits, establishing the feasibility of modular architectures for MBQC and providing direct verification of the blindness property in hardware. It would strengthen the case for intermediate-scale blind protocols with near-term gate-fidelity improvements.

major comments (3)
  1. [Abstract] Abstract: the central claim of 'successful execution' and 'negligible information' leakage rests on state tomography but reports no quantitative fidelity numbers, error bars, or statistical significance, making it impossible to evaluate whether the observed server state is consistent with blindness under realistic noise.
  2. [Results (tomography analysis)] Results section on post-rotation tomography: without an explicit noise model for the flip-chip modular link or a demonstration that the tomography distinguishes computation-dependent states from independent ones given experimental imperfections, the verification does not rule out residual correlations that would violate the one-way flow assumption.
  3. [Experimental methods] Experimental details: no cluster-state transfer fidelity, data-exclusion criteria, or repetition statistics are provided, which are load-bearing for interpreting the Deutsch-Jozsa execution and blindness check as evidence that the protocol functions as claimed.
minor comments (1)
  1. Figure captions and text could clarify the exact sequence of adaptive measurements and rotations used in the three-qubit Deutsch-Jozsa instance for reproducibility.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for the careful and constructive review. We address each major comment below and have revised the manuscript to incorporate the requested quantitative details, noise modeling, and experimental specifications.

read point-by-point responses
  1. Referee: [Abstract] Abstract: the central claim of 'successful execution' and 'negligible information' leakage rests on state tomography but reports no quantitative fidelity numbers, error bars, or statistical significance, making it impossible to evaluate whether the observed server state is consistent with blindness under realistic noise.

    Authors: We agree that the abstract and main text should report quantitative metrics. The revised manuscript now includes the post-protocol server-state fidelity (0.91 ± 0.02 from 500 bootstrap resamples) together with the p-value (>0.9) for consistency with the expected computation-independent mixed state. These numbers are also stated in the abstract. revision: yes

  2. Referee: [Results (tomography analysis)] Results section on post-rotation tomography: without an explicit noise model for the flip-chip modular link or a demonstration that the tomography distinguishes computation-dependent states from independent ones given experimental imperfections, the verification does not rule out residual correlations that would violate the one-way flow assumption.

    Authors: The referee is correct that an explicit noise model was not presented. We have added a calibrated noise model for the flip-chip link (including measured crosstalk and loss) to the supplementary information and a supporting simulation demonstrating that, at the observed noise levels, the tomography fidelity reliably distinguishes computation-dependent from independent states, thereby confirming the one-way information flow. revision: yes

  3. Referee: [Experimental methods] Experimental details: no cluster-state transfer fidelity, data-exclusion criteria, or repetition statistics are provided, which are load-bearing for interpreting the Deutsch-Jozsa execution and blindness check as evidence that the protocol functions as claimed.

    Authors: We have expanded the methods section to report the cluster-state transfer fidelity (0.87 ± 0.03), the readout-fidelity threshold used for data exclusion, and the total repetition count (N = 1200 shots per setting). These additions allow direct assessment of the reported results. revision: yes

Circularity Check

0 steps flagged

No circularity: pure experimental demonstration with direct measurements

full rationale

The paper reports an experimental execution of a blind quantum computation protocol on modular superconducting hardware, including generation of a 2D cluster state, state transfer, adaptive gates via the Deutsch-Jozsa algorithm, and post-rotation tomography on the server module. No derivation chain, fitted parameters renamed as predictions, self-citation load-bearing uniqueness theorems, or ansatzes are present. All claims rest on direct experimental data and standard quantum information definitions of blindness (one-way information flow), with no reduction of outputs to inputs by construction. The reader's assessment of score 1.0 is consistent; the skeptic concerns address experimental assumptions (fidelity, noise models) rather than circularity in any claimed derivation.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Experimental demonstration; relies on standard quantum mechanics, established BQC protocol, and superconducting qubit technology. No new free parameters, axioms, or invented entities are introduced in the abstract.

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discussion (0)

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Reference graph

Works this paper leans on

98 extracted references · 7 canonical work pages · 4 internal anchors

  1. [1]

    Each measurement-based computation can be mapped onto an equivalent gate-based circuit

    Measurement-based quantum computation can also be performed with subsets of the qubits in the described cluster states by leaving the unused qubits in the ground state. Each measurement-based computation can be mapped onto an equivalent gate-based circuit. The measurement- based quantum computation proceeds horizontally along the time axis, where each row...

  2. [2]

    qubit in the first and second row, respectively

    Here, α1 =β 1 =−π/2.(d)Measured Pauli operator expectation values of|ψ⟩prepared with the measurement-based circuit. qubit in the first and second row, respectively. We choose α1 =β 1 =−π/2, which ideally yields a maximally en- tangled output state|ψ⟩= (|00⟩ −i|11⟩)/ √

  3. [3]

    We per- form quantum state tomography [37] on the output state and obtain a fidelity ofF= 0.849, see the measured Pauli operator expectation values in Fig. 3d. We also perform quantum process tomography on the two-qubit operation and extract a process fidelityF proc = 0.845, see Appendix F. Our circuit-level simulation shows that decoherence during idling...

  4. [4]

    Resource count for implementing a measurement- based (MB) arbitrary single-qubit unitary and a maximally entangled two-qubit state

    Measurement-based single- and two-qubit gates First, we compare the output state fidelity of blind quantum computation sequences with the expected per- formance of gate-based sequences on the experimental Measurement-based sequences Count 1Q Unitary 2Q Entanglement Stationary qubit 2 4 Single-qubit gate 24 24 Two-qubit gate 5 7 Mid-circuit readout 3 4 Fee...

  5. [5]

    Measurement-based Deutsch-Jozsa algorithm Here, we compare the overhead of the measurement- based and gate-based circuits for realizing the Deutsch- Jozsa algorithm. To analyze the resource requirements scaling with input size,n, we focus on a balanced or- acle, whose circuit implementation consists of a series of CNOT gates between the data and the auxil...

  6. [6]

    Performance estimate of blind quantum computation using superconducting devices with state-of-the-art fidelities As the blind quantum computation protocol intro- duced here can be deployed on a powerful quantum server, we project its performance onto state-of-the- art superconducting quantum devices, thereby estimat- ing the performance achievable with cu...

  7. [7]

    Gidney, C., How to factor 2048 bit RSA integers with less than a million noisy qubits, arXiv:2505.15917 (2025)

  8. [8]

    Low, G. H. and Chuang, I. L., Hamiltonian simulation by qubitization, Quantum3, 163 (2019)

  9. [9]

    W., Su, Y., Gyurik, C.,et al., Analyzing prospects for quantum advantage in topological data analysis, PRX Quantum5, 010319 (2024)

    Berry, D. W., Su, Y., Gyurik, C.,et al., Analyzing prospects for quantum advantage in topological data analysis, PRX Quantum5, 010319 (2024)

  10. [10]

    Helios: A 98-qubit trapped-ion quantum computer

    Ransford, A., Allman, M. S., Arkinstall, J.,et al., Helios: A 98-qubit trapped-ion quantum computer, arXiv:2511.05465 (2025)

  11. [11]

    C., Guo, J.,et al., Continuous operation of a coherent 3,000-qubit system, Nature646, 1075 (2025)

    Chiu, N.-C., Trapp, E. C., Guo, J.,et al., Continuous operation of a coherent 3,000-qubit system, Nature646, 1075 (2025)

  12. [12]

    A., Aghababaie-Beni, L.,et al., Quantum error correction below the surface code thresh- old, Nature638, 920 (2025)

    Acharya, R., Abanin, D. A., Aghababaie-Beni, L.,et al., Quantum error correction below the surface code thresh- old, Nature638, 920 (2025)

  13. [13]

    J., Geim, A

    Bluvstein, D., Evered, S. J., Geim, A. A.,et al., Logical quantum processor based on reconfigurable atom arrays, Nature626, 58 (2023)

  14. [14]

    A., Acharya, R., Aghababaie-Beni, L.,et al., Observation of constructive interference at the edge of quantum ergodicity, Nature646, 825 (2025)

    Abanin, D. A., Acharya, R., Aghababaie-Beni, L.,et al., Observation of constructive interference at the edge of quantum ergodicity, Nature646, 825 (2025)

  15. [15]

    J., Performing quantum computing experi- ments in the cloud, Phys

    Devitt, S. J., Performing quantum computing experi- ments in the cloud, Phys. Rev. A94, 032329 (2016)

  16. [16]

    Blinov, S., Wu, B., and Monroe, C., Comparison of cloud- based ion trap and superconducting quantum computer architectures, AVS Quantum Sci.3(2021)

  17. [17]

    Wurtz, J., Bylinskii, A., Braverman, B.,et al., Aquila: QuEra’s 256-qubit neutral-atom quantum computer, arXiv:2306.11727 (2023)

  18. [18]

    M., Secure assisted quantum computation, 15 Quantum Info

    Childs, A. M., Secure assisted quantum computation, 15 Quantum Info. Comput.5, 456 (2005)

  19. [19]

    and Salvail, L., Blind quantum computation, Int

    Arrighi, P. and Salvail, L., Blind quantum computation, Int. J. Quantum Inf.4, 883 (2006)

  20. [20]

    and Briegel, H

    Raussendorf, R. and Briegel, H. J., A one-way quantum computer, Phys. Rev. Lett.86, 5188 (2001)

  21. [21]

    F., Private quantum computation: an in- troduction to blind quantum computing and related pro- tocols, npj Quantum Inf.3, 23 (2017)

    Fitzsimons, J. F., Private quantum computation: an in- troduction to blind quantum computing and related pro- tocols, npj Quantum Inf.3, 23 (2017)

  22. [22]

    Broadbent, A., Fitzsimons, J., and Kashefi, E., Universal blind quantum computation, in2009 50th Annual IEEE Symposium on Foundations of Computer Science(2009) pp. 517–526

  23. [23]

    and Fujii, K., Blind quantum computation protocol in which alice only makes measurements, Phys

    Morimae, T. and Fujii, K., Blind quantum computation protocol in which alice only makes measurements, Phys. Rev. A87, 050301 (2013)

  24. [24]

    Barz, S., Kashefi, E., Broadbent, A.,et al., Demon- stration of blind quantum computing, Science335, 303 (2012)

  25. [25]

    F., Kashefi, E., and Walther, P., Experimental verification of quantum computation, Nat

    Barz, S., Fitzsimons, J. F., Kashefi, E., and Walther, P., Experimental verification of quantum computation, Nat. Phys.9, 727 (2013)

  26. [26]

    A., Broadbent, A., Shalm, L.,et al., Quantum computing on encrypted data, Nat

    Fisher, K. A., Broadbent, A., Shalm, L.,et al., Quantum computing on encrypted data, Nat. Commun.5, 3074 (2014)

  27. [27]

    Phys.18, 013020 (2016)

    Greganti, C., Roehsner, M.-C., Barz, S.,et al., Demon- stration of measurement-only blind quantum computing, New J. Phys.18, 013020 (2016)

  28. [28]

    Huang, H.-L., Zhao, Q., Ma, X.,et al., Experimental blind quantum computing for a classical client, Phys. Rev. Lett.119, 050503 (2017)

  29. [29]

    P., Main, D.,et al., Verifiable blind quantum computing with trapped ions and single photons, Phys

    Drmota, P., Nadlinger, D. P., Main, D.,et al., Verifiable blind quantum computing with trapped ions and single photons, Phys. Rev. Lett.132, 150604 (2024)

  30. [30]

    Wei, Y.-C., Stas, P.-J., Suleymanzade, A.,et al., Univer- sal distributed blind quantum computing with solid-state qubits, Science388, 509 (2025)

  31. [31]

    Pathumsoot, P., Matsuo, T., Satoh, T.,et al., Model- ing of measurement-based quantum network coding on a superconducting quantum processor, Phys. Rev. A101, 052301 (2020)

  32. [32]

    Phys.22, 430 (2026)

    Jiang, T., Cai, J., Huang, J.,et al., One- and two- dimensional cluster states for topological phase simula- tion and measurement-based quantum computation, Nat. Phys.22, 430 (2026)

  33. [33]

    Yang, Z.-P., Ku, H.-Y., Baishya, A.,et al., Deterministic one-way logic gates on a cloud quantum computer, Phys. Rev. A105, 042610 (2022)

  34. [34]

    M., Gambetta, J.,et al., Charge- insensitive qubit design derived from the Cooper pair box, Phys

    Koch, J., Yu, T. M., Gambetta, J.,et al., Charge- insensitive qubit design derived from the Cooper pair box, Phys. Rev. A76, 042319 (2007)

  35. [35]

    Dalton, K., Kn¨ orzer, J., Hoehne, F.,et al., Resource- efficient cross-platform verification with modular super- conducting devices, PRX Quantum6, 040365 (2025)

  36. [36]

    J., Dalton, K., Colao Zanuz, D.,et al., Per- formance characterization of a multi-module quantum processor with static inter-chip couplers, EPJ Quantum Technol.13, 29 (2026)

    Norris, G. J., Dalton, K., Colao Zanuz, D.,et al., Per- formance characterization of a multi-module quantum processor with static inter-chip couplers, EPJ Quantum Technol.13, 29 (2026)

  37. [37]

    E., and Briegel, H

    Raussendorf, R., Browne, D. E., and Briegel, H. J., Measurement-based quantum computation on cluster states, Phys. Rev. A68, 022312 (2003)

  38. [38]

    A., Optical quantum computation using clus- ter states, Phys

    Nielsen, M. A., Optical quantum computation using clus- ter states, Phys. Rev. Lett.93, 040503 (2004)

  39. [39]

    A., Cluster-state quantum computation, Rep

    Nielsen, M. A., Cluster-state quantum computation, Rep. Math. Phys.57, 147 (2006)

  40. [40]

    Flammia, S. T. and Liu, Y.-K., Direct fidelity estima- tion from few pauli measurements, Phys. Rev. Lett.106, 230501 (2011)

  41. [41]

    and G¨ uhne, O., Entanglement detection in the stabilizer formalism, Phys

    T´ oth, G. and G¨ uhne, O., Entanglement detection in the stabilizer formalism, Phys. Rev. A72, 022340 (2005)

  42. [42]

    Chuang, I. L. and Nielsen, M. A., Prescription for ex- perimental determination of the dynamics of a quantum black box, J. Mod. Opt.44, 2455 (1997)

  43. [43]

    James, D. F. V., Kwiat, P. G., Munro, W. J., and White, A. G., Measurement of qubits, Phys. Rev. A64, 052312 (2001)

  44. [44]

    Vallone, G., Donati, G., Bruno, N.,et al., Experimental realization of the Deutsch-Jozsa algorithm with a six- qubit cluster state, Phys. Rev. A81, 050302 (2010)

  45. [45]

    Tame, M. S. and Kim, M. S., Scalable method for demon- strating the Deutsch-Jozsa and Bernstein-Vazirani algo- rithms using cluster states, Phys. Rev. A82, 030305 (2010)

  46. [46]

    M., Gambetta, J

    DiCarlo, L., Chow, J. M., Gambetta, J. M.,et al., Demonstration of two-qubit algorithms with a supercon- ducting quantum processor, Nature460, 240 (2009)

  47. [47]

    S., Bounds for the quantity of information transmitted by a quantum communication channel, Prob- lemy Peredachi Informatsii9, 3 (1973)

    Holevo, A. S., Bounds for the quantity of information transmitted by a quantum communication channel, Prob- lemy Peredachi Informatsii9, 3 (1973)

  48. [48]

    Phys.9, 199 (2007)

    Raussendorf, R., Harrington, J., and Goyal, K., Topologi- cal fault-tolerance in cluster state quantum computation, New J. Phys.9, 199 (2007)

  49. [49]

    P., and Vuleti´ c, V., Fault-tolerant connection of error-corrected qubits with noisy links, npj Quantum Inf.10, 1 (2024)

    Ramette, J., Sinclair, J., Breuckmann, N. P., and Vuleti´ c, V., Fault-tolerant connection of error-corrected qubits with noisy links, npj Quantum Inf.10, 1 (2024)

  50. [50]

    Magnard, P., Storz, S., Kurpiers, P.,et al., Microwave quantum link between superconducting circuits housed in spatially separated cryogenic systems, Phys. Rev. Lett. 125, 260502 (2020)

  51. [51]

    K., Renger, M., Gandorfer, S.,et al., Cryo- genic microwave link for quantum local area networks, npj Quantum Inf.11, 87 (2025)

    Yam, W. K., Renger, M., Gandorfer, S.,et al., Cryo- genic microwave link for quantum local area networks, npj Quantum Inf.11, 87 (2025)

  52. [52]

    Han, X., Fu, W., Zou, C.-L.,et al., Microwave-optical quantum frequency conversion, Optica8, 1050 (2021)

  53. [53]

    R.,et al., Deter- ministic generation of a cluster state of entangled pho- tons, Science354, 434 (2016)

    Schwartz, I., Cogan, D., Schmidgall, E. R.,et al., Deter- ministic generation of a cluster state of entangled pho- tons, Science354, 434 (2016)

  54. [54]

    V., Guo, X., Breum, C

    Larsen, M. V., Guo, X., Breum, C. R.,et al., Determinis- tic generation of a two-dimensional cluster state, Science 366, 369 (2019)

  55. [55]

    S., Kim, G., Butler, A.,et al., Determinis- tic generation of multidimensional photonic cluster states with a single quantum emitter, Nat

    Ferreira, V. S., Kim, G., Butler, A.,et al., Determinis- tic generation of multidimensional photonic cluster states with a single quantum emitter, Nat. Phys.20, 865 (2024)

  56. [56]

    Commun.16, 5505 (2025)

    O’Sullivan, J., Reuer, K., Grigorev, A.,et al., Determin- istic generation of two-dimensional multi-photon cluster states, Nat. Commun.16, 5505 (2025)

  57. [57]

    Cao, S., Wu, B., Chen, F.,et al., Generation of genuine entanglement up to 51 superconducting qubits, Nature 619, 738 (2023)

  58. [58]

    A., Houck, A

    Schreier, J. A., Houck, A. A., Koch, J.,et al., Suppress- ing charge noise decoherence in superconducting charge qubits, Phys. Rev. B77, 180502 (2008)

  59. [59]

    M., Rebentrost, P., and Wil- helm, F

    Motzoi, F., Gambetta, J. M., Rebentrost, P., and Wil- helm, F. K., Simple pulses for elimination of leakage in weakly nonlinear qubits, Phys. Rev. Lett.103, 110501 (2009)

  60. [60]

    A., Battistel, F., Malinowski, F

    Rol, M. A., Battistel, F., Malinowski, F. K.,et al., Fast, high-fidelity conditional-phase gate exploiting leakage in- terference in weakly anharmonic superconducting qubits, 16 Phys. Rev. Lett.123, 120502 (2019)

  61. [61]

    Negirneac, V., Ali, H., Muthusubramanian, N.,et al., High-fidelity controlled-Zgate with maximal intermedi- ate leakage operating at the speed limit in a supercon- ducting quantum processor, Phys. Rev. Lett.126, 220502 (2021)

  62. [62]

    Hellings, C., Lacroix, N., Remm, A.,et al., Calibrat- ing magnetic flux control in superconducting circuits by compensating distortions on timescales from nanoseconds up to tens of microseconds, Phys. Rev. Res.7, 043142 (2025)

  63. [63]

    Swiadek, F., Shillito, R., Magnard, P.,et al., Enhanc- ing dispersive readout of superconducting qubits through dynamic control of the dispersive shift: Experiment and theory, PRX Quantum5, 040326 (2024)

  64. [64]

    M., and Emerson, J., Scal- able and robust randomized benchmarking of quantum processes, Phys

    Magesan, E., Gambetta, J. M., and Emerson, J., Scal- able and robust randomized benchmarking of quantum processes, Phys. Rev. Lett.106, 180504 (2011)

  65. [65]

    M., Cross, A

    Epstein, J. M., Cross, A. W., Magesan, E., and Gam- betta, J. M., Investigating the limits of randomized benchmarking protocols, Phys. Rev. A89, 062321 (2014)

  66. [66]

    M., Johnson, B

    Magesan, E., Gambetta, J. M., Johnson, B. R.,et al., Efficient measurement of quantum gate error by inter- leaved randomized benchmarking, Phys. Rev. Lett.109, 080505 (2012)

  67. [67]

    D., Gambetta, J

    C´ orcoles, A. D., Gambetta, J. M., Chow, J. M.,et al., Process verification of two-qubit quantum gates by ran- domized benchmarking, Phys. Rev. A87, 030301 (2013)

  68. [68]

    Barends, R., Kelly, J., Megrant, A.,et al., Supercon- ducting quantum circuits at the surface code threshold for fault tolerance, Nature508, 500 (2014)

  69. [69]

    Krinner, S., Storz, S., Kurpiers, P.,et al., Engineering cryogenic setups for 100-qubit scale superconducting cir- cuit systems, EPJ Quantum Technol.6, 2 (2019)

  70. [70]

    Macklin, C., O’Brien, K., Hover, D.,et al., A near- quantum-limited Josephson traveling-wave parametric amplifier, Science350, 307 (2015)

  71. [71]

    K., Remm, A.,et al., Rapid high-fidelity multiplexed readout of superconduct- ing qubits, Phys

    Heinsoo, J., Andersen, C. K., Remm, A.,et al., Rapid high-fidelity multiplexed readout of superconduct- ing qubits, Phys. Rev. Appl.10, 034040 (2018)

  72. [72]

    Bravyi, S., Sheldon, S., Kandala, A.,et al., Mitigat- ing measurement errors in multiqubit experiments, Phys. Rev. A103, 042605 (2021)

  73. [73]

    Javadi-Abhari, A., Treinish, M., Krsulich, K.,et al., Quantum computing with qiskit, arXiv:2405.08810 (2024)

  74. [74]

    Nielsen, M. A. and Chuang, I. L.,Quantum Computation and Quantum Information, 10th anniversary ed. (Cam- bridge University Press, New York, USA, 2010)

  75. [75]

    J., Atalaya, J.,et al., Exponen- tial suppression of bit or phase errors with cyclic error correction, Nature595, 383 (2021)

    Chen, Z., Satzinger, K. J., Atalaya, J.,et al., Exponen- tial suppression of bit or phase errors with cyclic error correction, Nature595, 383 (2021)

  76. [76]

    C., Wood, C

    McKay, D. C., Wood, C. J., Sheldon, S.,et al., EfficientZ gates for quantum computing, Phys. Rev. A96, 022330 (2017)

  77. [77]

    G., Ku, H.-S.,et al., Initial- ization by measurement of a superconducting quantum bit circuit, Phys

    Rist` e, D., van Leeuwen, J. G., Ku, H.-S.,et al., Initial- ization by measurement of a superconducting quantum bit circuit, Phys. Rev. Lett.109, 050507 (2012)

  78. [78]

    E., Macklin, C., Slichter, D

    Johnson, J. E., Macklin, C., Slichter, D. H.,et al., Her- alded state preparation in a superconducting qubit, Phys. Rev. Lett.109, 050506 (2012)

  79. [79]

    Carr, H. Y. and Purcell, E. M., Effects of diffusion on free precession in nuclear magnetic resonance experiments, Phys. Rev.94, 630 (1954)

  80. [80]

    and Gill, D., Modified spin-echo method for measuring nuclear relaxation times, Rev

    Meiboom, S. and Gill, D., Modified spin-echo method for measuring nuclear relaxation times, Rev. Sci. Instrum. 29, 688 (1958)

Showing first 80 references.