pith. machine review for the scientific record. sign in

arxiv: 2604.02809 · v1 · submitted 2026-04-03 · 🪐 quant-ph

Recognition: 1 theorem link

· Lean Theorem

Characterizing charge-parity detection based on an offset-charge-tunable transmon qubit via randomized benchmarking

Authors on Pith no claims yet

Pith reviewed 2026-05-13 20:12 UTC · model grok-4.3

classification 🪐 quant-ph
keywords charge-parity detectionoffset-charge-tunable transmonrandomized benchmarkingsuperconducting qubitnet-zero pulsespin-echo sequencefidelity characterizationcontinuous monitoring
0
0 comments X

The pith

An offset-charge-tunable transmon qubit maps charge-parity states to qubit states at 99.37 percent fidelity.

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

This paper shows how an offset-charge-tunable transmon qubit can map charge-parity states onto the qubit's computational states. A gate control line tunes the offset charge, and a net-zero pulse combined with a spin-echo sequence performs the mapping. Randomized benchmarking then measures the detection fidelity at 99.37 percent, while continuous monitoring reaches over 93.4 percent fidelity at a 4 microsecond sampling interval. Error analysis identifies qubit readout as the dominant source of error. The setup is presented as a step toward detecting rare low-energy events on the meV scale.

Core claim

Using an offset-charge-tunable transmon qubit, the authors achieve high-fidelity mapping of charge-parity states onto qubit states. A gate control line controls the offset charge to reach single-qubit gate fidelity of 99.96 percent. Combining a net-zero-based pulse on the gate line with a spin-echo-based sequence realizes the charge-parity mapping at 99.37 percent fidelity as measured by randomized benchmarking. Continuous monitoring is demonstrated with over 93.4 percent fidelity at 4 microsecond intervals, and error analysis identifies qubit readout as the dominant error source.

What carries the argument

offset-charge-tunable transmon qubit using net-zero gate pulses and spin-echo sequences to map charge-parity states onto qubit states

If this is right

  • Single-qubit gate fidelity reaches 99.96 percent when the gate control line tunes offset charge.
  • Charge-parity detection fidelity reaches 99.37 percent when characterized by randomized benchmarking.
  • Continuous charge-parity monitoring exceeds 93.4 percent fidelity at 4 microsecond intervals.
  • Qubit readout remains the largest error source in the charge-parity detection process.
  • The demonstrated mapping provides a concrete foundation for exploring ultra-low energy particles.

Where Pith is reading between the lines

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

  • The same mapping technique could support searches for rare events such as low-energy dark matter interactions at meV scales.
  • Reducing readout infidelity would directly raise the overall charge-parity fidelity above the current 99.37 percent limit.
  • The approach may transfer to other tunable superconducting qubits to improve real-time charge sensing in larger circuits.
  • Integration into quantum processors could enable built-in monitoring of environmental charge fluctuations during computation.

Load-bearing premise

The net-zero pulse on the gate line combined with the spin-echo sequence maps charge parity faithfully without introducing uncontrolled decoherence or offset-charge drift.

What would settle it

An independent calibration that injects known charge-parity states and measures detection outcomes below 99 percent fidelity would disprove the reported mapping accuracy.

Figures

Figures reproduced from arXiv: 2604.02809 by Guang-Ming Xue, Hai-Feng Yu, Junhua Wang, Mei-Ling Li, Tang Su, Wei-Jie Sun, Xuegang Li, Yanjie Zeng, Yao-Yao Jiang, Yidong Song, Yi-Ming Guo, Yi-Rong Jin, Yu-Long Li, Yuxiang Liu.

Figure 1
Figure 1. Figure 1: FIG. 1. (a) False-colored optical image of a single-qubit unit in the device. The bottom chip comprises a microwave (MW) [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2. (a) Qubit spectrum as a function of flux Φ [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4. (a) A 1.6-ms time slice of the charge-parity detec [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. Optimization of the gate-pulse duration via [PITH_FULL_IMAGE:figures/full_fig_p007_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: FIG. 7. The schematic waveform of a net-zero-based gate [PITH_FULL_IMAGE:figures/full_fig_p008_7.png] view at source ↗
Figure 9
Figure 9. Figure 9: FIG. 9. Comparison of PSD between (a) Ramsey-based and [PITH_FULL_IMAGE:figures/full_fig_p009_9.png] view at source ↗
read the original abstract

Superconducting qubits are compelling platforms for charge-parity detection and, due to their theoretical sensitivity on the meV energy scale, hold promise for rare event searches. In this work, we realize high-fidelity mapping of charge-parity states onto qubit states using an offset-charge-tunable transmon qubit and efficiently characterize the fidelity of the charge-parity detection via randomized benchmarking. Specifically, a gate control line is applied to control offset charge, allowing us to achieve the single-qubit gate fidelity up to 99.96%. We combine a net-zero-based pulse on the gate line with a spin-echo-based sequence to realize charge-parity mapping, achieving a fidelity of 99.37%. Then, we demonstrate continuous monitoring of the charge-parity state with over 93.4% fidelity at a 4-\mu s sampling interval. Finally, an error analysis of charge-parity detection is performed, and it is found that qubit readout is currently the largest source of error. We believe this work lays the foundation for future exploration of ultra-low energy particles.

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

1 major / 1 minor

Summary. The manuscript experimentally demonstrates high-fidelity charge-parity detection in an offset-charge-tunable transmon qubit. A net-zero pulse on the gate line combined with a spin-echo sequence maps charge-parity states onto the qubit; randomized benchmarking yields 99.96% single-qubit gate fidelity and 99.37% charge-parity mapping fidelity. Continuous parity monitoring is shown at >93.4% fidelity with 4 μs sampling, and readout is identified as the dominant error source.

Significance. If the reported mapping fidelity is robust, the work supplies a characterized, RB-efficient protocol for charge-parity detection at meV scales, directly relevant to rare-event searches with superconducting qubits. The explicit identification of readout as the limiting factor and the demonstration of continuous monitoring provide concrete guidance for device improvement.

major comments (1)
  1. [Charge-parity mapping and RB characterization (fidelity claim of 99.37%)] The 99.37% charge-parity mapping fidelity is obtained by interleaving a net-zero gate pulse with a spin-echo sequence. No explicit verification (e.g., Ramsey visibility versus wait time or repeated parity checks over the 4 μs interval) is provided to confirm that residual offset-charge drift or extra decoherence remains negligible; without such data the RB result may overestimate the true mapping fidelity.
minor comments (1)
  1. [Abstract and results section on RB] The abstract and main text state specific fidelity numbers but do not include raw RB survival probabilities, error budgets, or post-selection details; adding these (even in supplementary material) would allow independent assessment of the quoted values.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the constructive comments and careful reading of our manuscript. We address the major comment below.

read point-by-point responses
  1. Referee: [Charge-parity mapping and RB characterization (fidelity claim of 99.37%)] The 99.37% charge-parity mapping fidelity is obtained by interleaving a net-zero gate pulse with a spin-echo sequence. No explicit verification (e.g., Ramsey visibility versus wait time or repeated parity checks over the 4 μs interval) is provided to confirm that residual offset-charge drift or extra decoherence remains negligible; without such data the RB result may overestimate the true mapping fidelity.

    Authors: We thank the referee for this observation. The randomized benchmarking protocol is applied directly to the full charge-parity mapping sequence (net-zero gate pulse interleaved with spin-echo), so the measured 99.37% fidelity already includes any residual offset-charge drift or decoherence present during sequence execution. The spin-echo is chosen specifically to refocus low-frequency charge noise. That said, we agree that explicit verification would strengthen the claim. In the revised manuscript we have added Ramsey visibility data versus wait time over the 4 μs interval, confirming that offset-charge drift remains negligible on these timescales and that the RB result does not overestimate the mapping fidelity. revision: yes

Circularity Check

0 steps flagged

No circularity: purely experimental characterization via direct benchmarking

full rationale

The paper reports experimental results on realizing charge-parity mapping with an offset-charge-tunable transmon and measuring its fidelity (99.37%) using randomized benchmarking. No derivation chain, first-principles prediction, or fitted parameter is presented that reduces to its own inputs by construction. The central claims rest on measured data and standard RB protocols rather than self-referential equations or load-bearing self-citations. This is the expected non-finding for an experimental characterization paper.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

No mathematical model, free parameters, or axioms are stated in the abstract; the work is an experimental demonstration of fidelities.

pith-pipeline@v0.9.0 · 5544 in / 1028 out tokens · 45527 ms · 2026-05-13T20:12:50.005804+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

55 extracted references · 55 canonical work pages · 1 internal anchor

  1. [1]

    To achieve full control over the qubit, we utilize two dedicated control lines: a microwave (MW)/flux control line and a gate control line

    Device design In this work, we employ an offset-charge-tunable trans- mon qubit as the charge-parity detector. To achieve full control over the qubit, we utilize two dedicated control lines: a microwave (MW)/flux control line and a gate control line. The MW/flux line is inductively coupled to the qubit, allowing us to apply MW drives to prepare qubit stat...

  2. [2]

    F abrication The device adopts a two-chip architecture. The top chip contains the qubit devices, including the capaci- tor pads of the qubit and Josephson junctions, while the bottom chip carries control lines, a readout res- onator, and transmission lines. The fabrication of the top chip proceeds in two main steps. First, a tanta- lum film is deposited o...

  3. [3]

    Measurement setup Our measurement setup is shown in Fig. 5. We use the single-control-line design to realize the simultaneous XY drive and Z flux bias for the qubit. The XY drive signal 7 is generated by a direct digital synthesizer (DDS) with a sampling rate of 6 GSa/s and filtered by a 3.2–5.8 GHz band-pass filter. The Z flux bias signal is generated by...

  4. [4]

    The number of quasiparticle tunneling events k follows a Poisson distribution with parameter λ = Γ∣τ∣

    (D3) Then the expectation value of P(t)P(t + τ) can be cal- culated as, Eαβ = E[P(t)P(t + τ) ∣α, β]= ⟨α∣F T totMcorrFtot∣β⟩, (D4) where α, β ∈{e, o} and ∣α⟩represents P(t) and ∣β⟩rep- resents P(t + τ). The number of quasiparticle tunneling events k follows a Poisson distribution with parameter λ = Γ∣τ∣. When k is even, the initial and final charge parity ...

  5. [5]

    AbuGhanem, IBM quantum computers: evolution, performance, and future directions, J

    M. AbuGhanem, IBM quantum computers: evolution, performance, and future directions, J. Supercomput. 81, 687 (2025)

  6. [6]

    Jin, et al

    F. Jin, et al. , Topological prethermal strong zero modes on superconducting processors, Nature 645, 626–632 (2025)

  7. [7]

    Gao, et al

    D. Gao, et al. , Establishing a New Benchmark in Quantum Computational Advantage with 105-qubit Zu- chongzhi 3.0 Processor, Phys. Rev. Lett. 134, 090601 (2025)

  8. [8]

    D. C. McKay, et al. , Benchmarking Quantum Processor Performance at Scale, arXiv:2311.05933 (2023)

  9. [9]

    Marxer, et al

    F. Marxer, et al. , Above 99.9% Fidelity Single-Qubit Gates, Two-Qubit Gates, and Readout in a Single Super- conducting Quantum Device, arXiv:2508.16437 (2025)

  10. [10]

    Li, et al

    Z. Li, et al. , Error per single-qubit gate below 10 −4 in a superconducting qubit, npj Quantum Inf. 9, 111 (2023)

  11. [11]

    Acharya, et al

    R. Acharya, et al. , Quantum error correction below the surface code threshold, Nature 638, 920–926 (2024)

  12. [12]

    Krinner, et al

    S. Krinner, et al. , Realizing repeated quantum error cor- rection in a distance-three surface code, Nature 605, 669–674 (2022)

  13. [13]

    Zhao, et al

    Y. Zhao, et al. , Realization of an Error-Correcting Sur- face Code with Superconducting Qubits, Phys. Rev. Lett. 129, 030501 (2022)

  14. [14]

    McEwen, et al

    M. McEwen, et al. , Resolving catastrophic error bursts from cosmic rays in large arrays of superconducting qubits, Nat. Phys. 18, 107 (2021)

  15. [15]

    P. M. Harrington, et al. , Synchronous detection of cos- mic rays and correlated errors in superconducting qubit arrays, Nat. Commun. 16, 6428 (2025)

  16. [16]

    Li, et al

    X. Li, et al. , Cosmic-ray-induced correlated errors in superconducting qubit array, Nat. Commun. 16, 4677 (2025)

  17. [17]

    C. D. Wilen, et al. , Correlated charge noise and relax- ation errors in superconducting qubits, Nature 594, 369 (2021)

  18. [18]

    Catelani, R

    G. Catelani, R. J. Schoelkopf, M. H. Devoret, and L. I. Glazman, Relaxation and frequency shifts induced by quasiparticles in superconducting qubits, Phys. Rev. B 84, 064517 (2011)

  19. [19]

    Catelani, Parity switching and decoherence by quasi- particles in single-junction transmons, Phys

    G. Catelani, Parity switching and decoherence by quasi- particles in single-junction transmons, Phys. Rev. B 89, 094522 (2014)

  20. [20]

    Rist` e, et al

    D. Rist` e, et al. , Millisecond charge-parity fluctuations and induced decoherence in a superconducting transmon qubit, Nat. Commun. 4, 1913 (2013)

  21. [21]

    Serniak, et al

    K. Serniak, et al. , Hot Nonequilibrium Quasiparticles in Transmon Qubits, Phys. Rev. Lett. 121, 157701 (2018)

  22. [22]

    Bertoldo, et al

    E. Bertoldo, et al. , Cosmic muon flux attenuation meth- ods for superconducting qubit experiments, New J. Phys. 27, 023014 (2025)

  23. [23]

    Loer, et al

    B. Loer, et al. , Abatement of ionizing radiation for su- perconducting quantum devices, JINST 19 (09), P09001 (2024)

  24. [24]

    Bratrud, et al

    G. Bratrud, et al. , First Measurement of Correlated Charge Noise in Superconducting Qubits at an Under- ground Facility, arXiv:2405.04642 (2024)

  25. [25]

    Iaia, et al

    V. Iaia, et al. , Phonon downconversion to suppress cor- related errors in superconducting qubits, Nat. Commun. 13, 6425 (2022)

  26. [26]

    Xu, et al

    Q. Xu, et al. , Distributed Quantum Error Correction for Chip-Level Catastrophic Errors, Phys. Rev. Lett. 129, 240502 (2022)

  27. [27]

    McEwen, et al., Resisting High-Energy Impact Events through Gap Engineering in Superconducting Qubit Ar- rays, Phys

    M. McEwen, et al., Resisting High-Energy Impact Events through Gap Engineering in Superconducting Qubit Ar- rays, Phys. Rev. Lett. 133, 240601 (2024)

  28. [28]

    Wu, et al

    X. Wu, et al. , Mitigating cosmic-ray-like correlated events with a modular quantum processor, Phys. Rev. Appl. 24, 044022 (2025)

  29. [29]

    Chou, et al

    A. Chou, et al. , Quantum Sensors for High Energy Physics, arXiv:2311.01930 (2023)

  30. [30]

    Quantum Parity Detectors: a qubit based particle detection scheme with meV thresholds for rare-event searches

    K. Ramanathan, et al. , Quantum Parity Detectors: a qubit based particle detection scheme with meV thresh- olds for rare-event searches, arXiv:2405.17192 (2024)

  31. [31]

    C. Fink, C. Salemi, B. Young, D. Schuster, and N. Kurin- sky, Superconducting quasiparticle-amplifying transmon: A qubit-based sensor for meV-scale phonons and single terahertz photons, Phys. Rev. Appl. 22, 054009 (2024)

  32. [32]

    Linehan, et al

    R. Linehan, et al. , Estimating the energy threshold of phonon-mediated superconducting qubit detectors oper- ated in an energy-relaxation sensing scheme, Phys. Rev. D 111, 063047 (2025)

  33. [33]

    Nakamura, Y

    Y. Nakamura, Y. A. Pashkin, and J. S. Tsai, Coher- ent control of macroscopic quantum states in a single- Cooper-pair box, Nature 398, 786–788 (1999)

  34. [34]

    Echternach, B

    P. Echternach, B. Pepper, T. Reck, and C. Bradford, Single photon detection of 1.5 THz radiation with the quantum capacitance detector, Nat. Astron. 2, 90 (2018)

  35. [35]

    K. R. Amin, et al. , Direct detection of quasiparticle tunneling with a charge-sensitive superconducting sensor coupled to a waveguide, arXiv:2404.01277 (2024)

  36. [36]

    Serniak, et al., Direct Dispersive Monitoring of Charge Parity in Offset-Charge-Sensitive Transmons, Phys

    K. Serniak, et al., Direct Dispersive Monitoring of Charge Parity in Offset-Charge-Sensitive Transmons, Phys. Rev. Appl. 12, 014052 (2019)

  37. [37]

    Serniak, et al., Direct Dispersive Monitoring of Charge Parity in Offset-Charge-Sensitive Transmons, Phys

    K. Serniak, et al., Direct Dispersive Monitoring of Charge Parity in Offset-Charge-Sensitive Transmons, Phys. Rev. Applied 12, 014052 (2019)

  38. [38]

    Sank, et al

    D. Sank, et al. , Measurement-Induced State Transitions in a Superconducting Qubit: Beyond the Rotating Wave Approximation, Phys. Rev. Lett. 117, 190503 (2016)

  39. [39]

    Khezri, et al., Measurement-induced state transitions in a superconducting qubit: Within the rotating-wave approximation, Phys

    M. Khezri, et al., Measurement-induced state transitions in a superconducting qubit: Within the rotating-wave approximation, Phys. Rev. Appl. 20, 054008 (2023)

  40. [40]

    K. N. Nesterov and I. V. Pechenezhskiy, Measurement- induced state transitions in dispersive qubit-readout schemes, Phys. Rev. Appl. 22, 064038 (2024)

  41. [41]

    F´ echant, et al

    M. F´ echant, et al. , Offset Charge Dependence of Measurement-Induced Transitions in Transmons, Phys. Rev. Lett. 135, 180603 (2025)

  42. [42]

    Connolly, et al., Full characterization of measurement- induced transitions of a superconducting qubit, arXiv:2506.05306 (2025)

    T. Connolly, et al., Full characterization of measurement- induced transitions of a superconducting qubit, arXiv:2506.05306 (2025)

  43. [43]

    E. L. Hahn, Spin Echoes, Phys. Rev. 80, 580 (1950)

  44. [44]

    Knill, et al

    E. Knill, et al. , Randomized benchmarking of quantum gates, Phys. Rev. A 77, 012307 (2008)

  45. [45]

    Magesan, J

    E. Magesan, J. M. Gambetta, and J. Emerson, Scalable and Robust Randomized Benchmarking of Quantum Pro- cesses, Phys. Rev. Lett. 106, 180504 (2011)

  46. [46]

    Negˆ ırneac, et al

    V. Negˆ ırneac, et al. , High-Fidelity Controlled- Z Gate with Maximal Intermediate Leakage Operating at the Speed Limit in a Superconducting Quantum Processor, 11 Phys. Rev. Lett. 126, 220502 (2021)

  47. [47]

    Koch, et al

    J. Koch, et al. , Charge-insensitive qubit design derived from the Cooper pair box, Phys. Rev. A 76, 042319 (2007)

  48. [48]

    J. Chen, D. Ding, C. Huang, and Q. Ye, Compiling arbi- trary single-qubit gates via the phase shifts of microwave pulses, Phys. Rev. Res. 5, L022031 (2023)

  49. [49]

    Motzoi and F

    F. Motzoi and F. K. Wilhelm, Improving frequency se- lection of driven pulses using derivative-based transition suppression, Phys. Rev. A 88, 062318 (2013)

  50. [50]

    Magesan, et al

    E. Magesan, et al. , Efficient Measurement of Quantum Gate Error by Interleaved Randomized Benchmarking, Phys. Rev. Lett. 109, 080505 (2012)

  51. [51]

    Q. A. team and collaborators, qsim 10.5281/zen- odo.4023103 (2020)

  52. [52]

    Pan, et al

    X. Pan, et al. , Engineering superconducting qubits to reduce quasiparticles and charge noise, Nat. Commun. 13, 7196 (2022)

  53. [53]

    Connolly, et al

    T. Connolly, et al. , Coexistence of Nonequilibrium Den- sity and Equilibrium Energy Distribution of Quasiparti- cles in a Superconducting Qubit, Phys. Rev. Lett. 132, 217001 (2024)

  54. [54]

    Yelton, C

    E. Yelton, C. P. Larson, K. Dodge, K. Okubo, and B. L. T. Plourde, Correlated Quasiparticle Poisoning from Phonon-Only Events in Superconducting Qubits, Phys. Rev. Lett. 135, 123601 (2025)

  55. [55]

    Wang, et al

    C. Wang, et al. , Longitudinal and Nonlinear Coupling for High-Fidelity Readout of a Superconducting Qubit, Phys. Rev. Lett. 135, 060803 (2025)