- The paper presents a closed-loop workflow combining SEA, ELEA, and CAFE calibration to achieve 99.92 ± 0.01% CZ fidelity on the best qubit pair while suppressing coherent errors to 0.007%.
- Parallel calibration across 72 CZ gates achieved a 99.25% median fidelity, showing that relaxation and dephasing—not calibration precision—dominate processor-wide errors.
- Automated recalibration every 30 minutes sustained lower CZ error rates over nine hours, demonstrating a practical path to reliable operation despite environmental drift.
Overview
This paper reports a closed-loop calibration workflow for controlled-Z (CZ) gates on the 84-qubit superconducting processor Shenglian, composed of tunable transmon qubits coupled via tunable transmon couplers (2607.01422). The central result is a CZ gate fidelity of (99.92±0.01)% on a scalable processor, with coherent errors suppressed to 0.007%, alongside a median fidelity of (99.25±0.01)% across 72 parallel-calibrated CZ gates. The authors emphasize that prior demonstrations of sub-0.1%-error CZ gates were achieved on isolated samples, whereas scaling to large processors introduces additional incoherent error channels—two-level system (TLS) defects at enlarged metal-substrate interfaces and depolarizing channels from denser control wiring—that shrink the error budget available for coherent errors. The workflow addresses precisely this constraint.
Calibration workflow
The workflow operates on a minimal three-element unit: two nearest-neighbor qubits Qa (ωa/2π≈4.224 GHz) and Qb (ωb/2π≈4.411 GHz) coupled through tunable coupler C. The coupler is biased at ωC/2π≈3.2 GHz, where both effective XY and residual 0.007%0 interactions are minimized; next-nearest-neighbor interactions below 0.007%1 MHz are neglected. Single-qubit gates use 14 ns raised-cosine pulses with DRAG correction, yielding randomized benchmarking (RB) errors per Clifford of 0.007%2 and 0.007%3 for 0.007%4 and 0.007%5, respectively.
The CZ gate is implemented via the non-adiabatic scheme, tuning both qubits into resonance with 0.007%6 while the coupler enhances the 0.007%7–0.007%8 coupling; a full oscillation yields the conditional 0.007%9 phase. Flux pulses follow a hyperbolic-cosine shape with steepness (99.25±0.01)%0, duration (99.25±0.01)%1 ns, plus a 16 ns buffer on each side. Three pulse amplitudes—(99.25±0.01)%2, (99.25±0.01)%3 for the qubits and (99.25±0.01)%4 for the coupler—are calibrated in a staged procedure:
- Coarse stage: a two-dimensional scan of (99.25±0.01)%5, (99.25±0.01)%6 at fixed modest (99.25±0.01)%7 identifies regions of accumulated conditional phase on (99.25±0.01)%8.
- Intermediate stage: standard error amplification (SEA) and echoed leakage error amplification (ELEA) circuits scan (99.25±0.01)%9 and Qa0 alternately, with convergence as the amplified gate number increases.
- Fine stage: three-state single-shot readout is characterized, and the repurposed context-aware fidelity estimation (CAFE) circuit replaces direct Qa1 calibration by measuring Qa2 population over 60 repeated CZ gates.
- Evaluation: if fidelity falls below a threshold Qa3—relevant given frequency crowding and collisions with neighboring qubits or TLS defects—the choice of Qa4, Qa5 is updated and calibration repeats.
The ELEA circuit is a modification of the phase-averaged leakage error amplification (PALEA) circuit of Marxer et al.: by inserting an additional CZ gate and two Qa6 gates per repetition unit, it eliminates the need to randomize the phase Qa7 of the Qa8 leakage-refocusing pulse, simplifying implementation without loss of leakage sensitivity.
Benchmarking results
Standard and interleaved RB on the best pair yield an error per Clifford of Qa9 (averaging 1.5 CZ gates and 5 single-qubit gates per Clifford), corresponding to an interleaved CZ fidelity of ωa/2π≈4.2240. A duration sweep reveals an explicit trade-off: durations from 30 to 48 ns all achieve errors below ωa/2π≈4.2241, but shorter gates degrade because the coupler must be tuned closer to the qubits, inducing leakage to the coupler, while residual short-time flux-pulse distortion introduces coherent errors. This trade-off bounds how much further incoherent error can be reduced by speed alone.
CAFE-based error decomposition attributes ωa/2π≈4.2242 to decoherent error and only ωa/2π≈4.2243 to coherent error, giving an estimated fidelity of ωa/2π≈4.2244 consistent with IRB. Leakage to ωa/2π≈4.2245 is bounded at ωa/2π≈4.2246. A dynamical-decoupling variant (DCAFE), interleaving ωa/2π≈4.2247 gates after each CZ pair, echoes out low-frequency noise and reduces the coherent component further to ωa/2π≈4.2248—confirming that the residual coherent error is dominated by correctable single-qubit phase errors rather than intrinsic two-qubit imperfections.
Across the processor, 65 single-qubit and 72 CZ gates were calibrated in parallel. Median errors are ωa/2π≈4.2249 (single-qubit) and Qb0 (CZ). The paper establishes a clear physical correlation: single-qubit error rates scale exponentially with inverse dephasing time, Qb1, and CZ error rates correlate spatially with single-qubit errors, both tracing to short dephasing times. For the full ensemble, median error components decompose as Qb2 coherent (SU(4) phase errors), Qb3 leakage-induced, and Qb4 from relaxation/dephasing—with the latter dominating by more than an order of magnitude. The implication is that further device-wide gains require improving coherence, not calibration precision; the calibration workflow has already reduced its controllable contributions to negligible levels.
Automated calibration
Because qubits and couplers operate away from sweet spots, gates are susceptible to environmental drift. In an 18-hour experiment on six qubit pairs, CZ error rates were tracked over 9 hours under automated recalibration every 0.5 hours versus a calibration-free scenario. Automated calibration lowers average error rates throughout, with the largest benefit on the most fluctuating pairs (e.g., Qb5–Qb6). This demonstrates that the fine-calibration step is lightweight enough to run continuously, supporting sustained high-fidelity operation on large processors.
Limitations and open questions
The headline Qb7 fidelity is demonstrated on a single qubit pair; the fleet-wide median of Qb8 remains roughly a factor of eight worse, limited predominantly by dephasing-limited coherence (median Qb9 μs, ωb/2π≈4.4110 μs across 65 qubits). The paper does not demonstrate whether the best-pair performance can be reproduced broadly, nor does it quantify crosstalk during simultaneous operation of the six coupler groups beyond noting frequency-collision screening in the evaluation step. The duration trade-off between coupler-induced leakage and flux-pulse distortion leaves open which pulse-shape or spectral-engineering optimizations could push gate durations below 30 ns without penalty. Finally, the automated recalibration interval of 0.5 hours was chosen empirically; the optimal cadence relative to drift timescales is not established.
Conclusion
The paper demonstrates that careful, circuit-level error-amplified calibration—combining SEA, ELEA, and CAFE in a closed loop—can suppress coherent CZ gate errors to the ωb/2π≈4.4111 level on a scalable 84-qubit superconducting processor, achieving above-ωb/2π≈4.4112 fidelity where the remaining error budget is dominated by incoherent relaxation and dephasing. The workflow generalizes to parallel calibration, supports fully automated operation, and was executed entirely on domestically sourced instrumentation. Its principal contribution is methodological: a reproducible route to near-threshold two-qubit gate performance whose further improvement now hinges on materials and coherence engineering rather than calibration precision.