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Dispersive microwave readout (+TWPA, Purcell) ro_disp

The qubit state is read as a dispersive shift of a coupled resonator, Purcell-filtered on chip and amplified near the quantum limit before the HEMT.

Dispersive microwave readout (+TWPA, Purcell)

ro_disp · layer 6 Readout · demonstrated · since 2005

Resonator shift read through a parametric amplifier; 240 ns pulse at 99.94% (IQM); readout-induced leakage is the hidden cost.

Brief →

Key references

[591] A. Wallraff et al., “Strong coupling of a single photon to a superconducting qubit using c… · 2004
[1] Google Quantum AI and Collaborators, “Quantum error correction below the surface code thre… · 2024
[38] F. Marxer et al., “Above 99.9% Fidelity Single-Qubit Gates, Two-Qubit Gates, and Readout i… · 2026
[84] N. Mehta et al., “An entangling gate for dual-rail erasure qubits,” Nature, vol. 656, no. … · 2026
[33] IBM, “IBM Quantum Computing — Hardware and roadmap.” [Online]. Available: https://www.ibm.…

Design space — attributes

(a) carrier affinity
fabricated
(b) time · entangling
—
(c) readout
dispersive microwave · 282 ns · non-destructive · mid-circuit
(d) mobility
—
(e) control
microwave @ room temperature
(f) error structure
leakage
(g) manufacturing
superconducting lithography

Evaluation space — dated attributes

readout pulse / fidelity (IQM) → 240 ns pulse (≈280 ns full window) / 99.94% simultaneous assignment; QNDness 99.3%
defines: clock (cycle time) · 2025-09 · source
at-scale readout error → ~1×10⁻² (fleet)
defines: error channel · 2025-08 · source

Standard records

reset / initialisation time → 160 ns · typical
Google surface code: 'Cycle duration is 921 ns, including 500 ns measurement and 160 ns reset' (measure-qubit multi-level reset) · 2022-07 · source [D] ⓘ
reset / initialisation time → 25 ns · best
IBM Nighthawk r2: activating the reset coupler pulls effective T1 from ~200 us median 'down to roughly 25 nanoseconds' · 2026-08 · source [C] ⓘ
reset error → 2.00e-3 · best
Unconditional all-microwave reset via |f0>-|g1> transfer to the resonator: <500 ns, 0.2% residual excitation · 2018-01 · source [D] ⓘ
SPAM error → 7.70e-3 · typical
Willow 105-q QEC chip: measurement error 0.77% +/- 0.21% (repetitive, measure qubits); RCS chip 0.67% +/- 0.51% (terminal) · 2024-12 · source [C] ⓘ
SPAM error → 6.00e-4 · best
IQM, 240 ns readout pulse with |f>-shelving + TWPA: simultaneous assignment fidelity 'above 99.94%' for both qubits · 2025-08 · source [D] ⓘ
QND fidelity / survival → 0.993 · best
IQM: 'QNDness 99.3% for both qubits', measured without the shelving gate · 2025-08 · source [D] ⓘ

Actors & goals — annotations

Dual-rail erasure qubits (alternate) — D-Wave/QCI, AWS, SUSTech · G3 G4
Quantum annealer — flux qubits (alternate) — D-Wave · G1 G5

Used by 89 machines (80 primary · 9 alternate)

↗ its register card · paper / product / press: links that name the machine (attribution checked on 20 Sep 2026)

Pictures

Every picture carries the story of what it shows and its credit line.

Fig. 1 — Fig. 1: (a) Cross-sectional view at AA’ plane in (f) (not to scale), illustrating the chip stack-up and the coupling section between readout resonat…
Figure of a two-chip (flip-chip) superconducting device. Top left, a cross-section drawing (not to scale) of top and bottom chips joined by indium bumps; bottom left, a false-coloured micrograph through the bonded pair showing the feedline, eight meandered readout resonators, two spiral Purcell-filter resonators, bump grid and SU-8 spacers (1 mm scale bars); right, a 3D model with the top chip flipped open and close-ups of the coupling sections. From arXiv 2603.16693 by Zhen Luo, Amelie Hagelauer and co-authors; the chip label reads BPF_DEMO_V1, 2025.04.16. A Purcell filter passes readout signals but stops qubit energy leaking out; here readout and filter circuits are split between the two bump-bonded chips. “Fig. 1 — Fig. 1: (a) Cross-sectional view at AA’ plane in (f) (not to scale), illustrating the chip stack-up and the coupling section between readout resonator and…” by Zhen Luo et al., arxiv.org/abs/2603.16693, CC BY 4.0 (creativecommons.org/licenses/by/4.0/)
Fig. 2 — Fig. 2: Characteristics of qubit-specific single-shot readout traces. Panels (a-e) show the state discrimination of integrated single-shot traces fo…
Data plots: five scatter plots in the I-Q plane of single-shot readout signals from five superconducting qubits, with red and blue clouds marking the inferred ground and excited states, plus a 5x5 cross-fidelity matrix. From "Low-latency machine learning FPGA accelerator for multi-qubit-state discrimination" by Pradeep Kumar Gautam et al. It shows the task of dispersive microwave readout: telling two noisy clouds apart. Notice qubits 1 and 5 separate cleanly while qubit 2 overlaps almost completely (fidelity 0.43), the hard cases a better discriminator must handle. “Fig. 2 — Fig. 2: Characteristics of qubit-specific single-shot readout traces. Panels (a-e) show the state discrimination of integrated single-shot traces for all five…” by Pradeep Kumar Gautam et al., arxiv.org/abs/2407.03852, CC BY 4.0 (creativecommons.org/licenses/by/4.0/)
Fig. 1 — Fig. 1: Block diagram of a superconducting quantum processor interfacing with an FPGA system for qubit control and readout. The FPGA is part of the…
A block diagram (drawing, not a photograph): an FPGA with a neural-network accelerator, the RFSoC converters (RF-DAC at 6 GSPS, RF-ADC at 4 GSPS), and a five-qubit superconducting chip with readout resonators and a TWPA amplifier inside a dilution refrigerator. It comes from Gautam, Kalipatnapu, Thakur and co-authors, paper "Low-latency machine learning FPGA accelerator for multi-qubit-state discrimination"; the FPGA sits on a ZCU111 RFSoC evaluation kit. It traces the dispersive readout chain: pulses probe each resonator, and the returned I/Q signal is classified by a neural network. “Fig. 1 — Fig. 1: Block diagram of a superconducting quantum processor interfacing with an FPGA system for qubit control and readout. The FPGA is part of the ZCU111…” by Pradeep Kumar Gautam et al., arxiv.org/abs/2407.03852, CC BY 4.0 (creativecommons.org/licenses/by/4.0/)
ro_disp · layer 6 Readout · centrality 10.4 · demonstrated · since 2005 · updated 2026-09-30

Dispersive microwave readout (+TWPA, Purcell)

The qubit state is read as a dispersive shift of a coupled resonator, Purcell-filtered on chip and amplified near the quantum limit before the HEMT.

Verdict. Falsifiable — assignment fidelity is already 99.94%, so if fleet readout error stays near 1% through 2027 the binding term is measurement-induced leakage and QND violation, not amplifier noise.

Key references

Λ = error-suppression factor per code-distance step; QBI = DARPA Quantum Benchmarking Initiative (Stage A concept → B R&D plan → C government V&V); G1–G7 = the report's goal classes (see Actors & economics).

Identity & lineage

A resonator coupled off-resonantly (coupling g, detuning Δ ≫ g) acquires a state-dependent shift χ ≈ g²/Δ, so a probe tone carries the state in its phase without exchanging quanta with the qubit — non-demolition by construction. Wallraff and colleagues at Yale established it as circuit QED's readout channel D[591]. Two additions make it usable: an on-chip Purcell filter, which passes the probe while blocking qubit emission into the same line, and a near-quantum-limited parametric amplifier before the HEMT (high-electron-mobility transistor).
Attributes: carrier affinity a = 1.0, fully fabricated. Readout ≈280 ns (10^−6.55 s), non-destructive, mid-circuit capable.

Physics & limits

Separation needs a fixed number of signal photons at the amplifier input, so readout time falls with probe power and rises with chain noise. A Josephson travelling-wave amplifier giving 12 dB across 4 GHz near the quantum limit D[592] removes the HEMT's noise penalty, so the amplifier is not the floor. The floor is what hard probing does to the qubit: above a critical photon number the dressed system undergoes measurement-induced transitions out of the computational subspace, and the code inherits leakage — unheralded, sticky, correlated in time, not a Pauli flip. The IQM device shows the split: 99.94% simultaneous assignment fidelity with a 240 ns pulse and shelving into the second excited state, but 99.3% QNDness D[38]. Assignment error is 6×10⁻⁴; the chance the qubit does not survive as measured is an order of magnitude larger — and that is what syndrome extraction consumes. The Purcell filter's linewidth buys speed but, widened, reopens the emission channel it exists to close. What moves the floor: shelving-free discrimination, on-chip isolation, and encodings that turn a failed measurement into a heralded erasure.

Engineering state of the art

table
Year Figure Who Tag+key
2024-12 Willow, 105 q: readout 99.5%, 1.1 µs error-correction cycle Google D[1]
2025-08 99.94% simultaneous readout, 240 ns pulse, QNDness 99.3% IQM D[38]
2026-08 Dual-rail cavity readout: SPAM ≈0.02%, erasure ≈0.5% per gate Quantum Circuits D[84]
2026-07 Fleet readout error ~1×10⁻² IBM C[33]

The spread is the story: 6×10⁻⁴ on a characterised pair, 5×10⁻³ over 105 qubits, ~10⁻² across a fleet D[38]D[1]C[33]; Zuchongzhi 3.0 reads out at 99.13% D[35]. Readout is the largest single-channel error term at scale, larger than two-qubit gates, and the one whose fleet value has barely moved in two years.

Manufacturing, materials & supply chain

On chip there is no extra process: resonator and Purcell filter are patterned in the qubit's own lithography, the cost being area and frequency planning: each qubit on a feedline needs a distinct resonator frequency in the amplifier's band. Off chip the chain — isolators, circulators, parametric amplifier, HEMT — is the fridge's bulkiest hardware and where a merchant market has appeared: Silent Waves (Grenoble) sells Argo, Carthago and Zephyr, the last launched 2026-03-13, to Rigetti, Alice & Bob, Qilimanjaro, QphoX and CEA C[593]; QuantWare sells a Crescendo TWPA C[594]; QuantumCore is developing one with the Institute for Quantum Computing P[595]. Export exposure is direct: ECCN 3A901, effective 2024-09-06, covers sub-4.5 K electronics and names parametric amplifiers, so a TWPA is controlled in its own right G[301].

Control, readout & I/O burden

Each qubit consumes a resonator, a share of a feedline (eight to ten qubits multiplexed per line), a share of one amplifier's dynamic range, and a digitiser channel with real-time discrimination. The amplifier is the scaling constraint nobody has published a number for: TWPA saturation caps simultaneous tones per device, and each feedline needs its own isolator stack — volume, not silicon. Instrumentation has followed (over 1,000 channels per rack C[526]), but the budget is set downstream: Google's real-time decoder ran at 63 µs latency for d=5 against a 1.1 µs cycle D[1], so readout plus decode defines the loop. At 10⁶ the chain must move into the cold, and no cryogenic digitiser has been shown beyond a handful of qubits.

Role in the stack

It serves every superconducting-family architecture: transmons, bosonic cat and GKP encodings, dual-rail erasure qubits, and the same chain in annealers. It requires the transmon's dispersive shift and, for bosonic codes, an ancilla mediating the cavity measurement, and provides the mid-circuit non-destructive measurement every error-correction scheme here assumes — no substitute exists inside the family. Its clock contribution is direct: derived clock = sum of the syndrome round: gate layers + transport + readout + reset is 0.65 µs, of which readout is 0.28 µs — the largest term, against ~0.048 µs per gate layer D[1]D[38] — inside a measured 1.1 µs cycle. No neighbouring empty slot in the technology graph.

Evidence — how the numbers were measured

Three quantities circulate as "readout fidelity" and are not interchangeable: assignment fidelity, QNDness (the qubit is left in the state reported), and SPAM. The 99.94% headline is simultaneous assignment fidelity with shelving; QNDness on the same device is 99.3% D[38]. IBM's fleet ~10⁻² is undecomposed into amplifier noise, Purcell-limited decay and measurement-induced transitions C[33]. Value conflict: the graph record quotes 280 ns readout, the preprint a 240 ns pulse, so ~280 ns should be read as the full window. No independent laboratory has replicated the 99.94% result.

Not published: a named TWPA or Purcell-filter patent family with assignee and grant year; TWPA yield, unit cost, or the number of multiplexed tones one amplifier sustains before compression, from any supplier; and a fleet-average QNDness from any vendor.

Actors & economics

Who.
| Organisation | Role | Country | What exactly they do with this technology | Evidence |
|---|---|---|---|---|
| IQM | developer | Finland | Readout record: 99.94% with shelving, QNDness 99.3% | D[38] |
| Google | developer | US | 99.5% readout across 105 qubits in a 1.1 µs cycle | D[1] |
| IBM | developer | US | Publishes the only at-scale fleet readout error, ~10⁻² | C[33] |
| Silent Waves | supplier | France | Merchant TWPA maker, three shipping products | C[593] |
| QuantumCore | supplier | Canada | TWPA development with IQC Waterloo | P[595] |

Money.

  • 2026-05-05 · QuantWare · Series B · $178 M (€152 M) · Intel Capital, In-Q-Tel, ETF Partners · closed C[547]fact
  • 2026-04-25 · QuantumCore · listing (CSE: QNCR, 2026-04-14) plus NSERC Alliance grant · $10.7 M raised, $1.7 M grant · NSERC/IQC · closed P[595]
  • 2026-01 · D-Wave · M&A (Quantum Circuits) · $550 M · — · announced C[84]

Market & supply chain. The chain, not the chip, is what this node buys: isolators and circulators, HEMTs, the parametric amplifier. The TWPA market is thin — three small merchant suppliers against in-house builds at Google and IBM — so one exit matters more here than anywhere else, and the parts are export-controlled G[301]. G2 and G3 pay for this node; G7 buys the instrumentation.

IP & standards. No TWPA or Purcell-filter patent family with a named assignee and grant year was found; Silent Waves' 2025 Nature Electronics amplifier-isolator is a published design, not a grant C[593]. No litigation identified, and no standards body defines how readout fidelity is reported — hence three numbers quoted interchangeably.

Roadmaps & track record. Silent Waves: three products with named customers (Zephyr promised and launched 2026-03-13) C[593], the most credible record here. QuantumCore: announced 2026-04-25, too recent to judge P[595]. No platform vendor publishes a fleet-average readout target as distinct from best-device fidelity — a notable omission when readout is the largest fleet error term.

Strategic reading. This is a shared chokepoint: four architectures depend on the same amplification and isolation hardware, so concentration risk is systemic in a way qubit-chip choices are not. If fleet readout stays near 10⁻², Λ stalls whatever gates do, since syndrome extraction inherits the measurement error — the case for erasure-style encodings that make a failed measurement heralded. Winners: merchant amplifier suppliers and whichever vendor solves QND rather than assignment. Bargaining power sits with the platform vendors, though export licensing gives regulators a lever.

Outlook & open questions

Confirm or demote within 12–24 months: does any vendor publish a fleet-average QNDness; does fleet readout error fall below 5×10⁻³. Best case by 2029: shelving-free discrimination and on-chip isolation take fleet readout error toward 10⁻³ without slowing the cycle. Worst case: measurement-induced leakage holds QNDness near 99.3% whatever the amplifier does, and readout stays the term that caps Λ. Open questions: how the fleet 1% decomposes; how many tones one TWPA carries before compression.

References
  1. [1] Google Quantum AI and Collaborators, “Quantum error correction below the surface code threshold,” Nature, vol. 638, no. 8052, pp. 920–926, Dec. 2024, doi: 10.1038/s41586-024-08449-y. D
  2. [33] IBM, “IBM Quantum Computing — Hardware and roadmap.” [Online]. Available: https://www.ibm.com/quantum/hardware C
  3. [35] D. Gao et al., “Establishing a New Benchmark in Quantum Computational Advantage with 105-qubit Zuchongzhi 3.0 Processor,” Phys. Rev. Lett., vol. 134, Art. no. 090601, Mar. 2025, doi: 10.1103/PhysRevLett.134.090601. arXiv:2412.11924. D
  4. [38] F. Marxer et al., “Above 99.9% Fidelity Single-Qubit Gates, Two-Qubit Gates, and Readout in a Single Superconducting Quantum Device,” PRX Quantum, vol. 7, Art. no. 020333, 2026, doi: 10.1103/n86s-2b88. arXiv:2508.16437. D
  5. [84] N. Mehta et al., “An entangling gate for dual-rail erasure qubits,” Nature, vol. 656, no. 8126, pp. 47–53, Aug. 2026, doi: 10.1038/s41586-026-10822-y. arXiv:2503.10935. D
  6. [301] US Department of Commerce, Bureau of Industry and Security, “Commerce Control List Additions and Revisions; Implementation of Controls on Advanced Technologies Consistent With Controls Implemented by International Partners,” Federal Register, vol. 89, p. 72926, Sep. 6, 2024. [Online]. Available: https://www.federalregister.gov/documents/2024/09/06/2024-19633/commerce-control-list-additions-and-revisions-implementation-of-controls-on-advanced-technologies G
  7. [526] Zurich Instruments, “Zurich Instruments Launches the ZQCS Quantum Control System to Master the Long-Lived Logical Qubit Challenge,” Mar. 9, 2026. [Online]. Available: https://www.zhinst.com/americas/en/news/zurich-instruments-launches-zqcs-quantum-control-system-master-long-lived-logical-qubit/ C
  8. [547] QuantWare, “QuantWare Raises $178 Million to Build World’s Most Powerful Quantum Processors at an Industrial Scale,” May 5, 2026. [Online]. Available: https://quantware.com/news/quantware-raises-178-million C
  9. [591] A. Wallraff et al., “Strong coupling of a single photon to a superconducting qubit using circuit quantum electrodynamics,” Nature, vol. 431, no. 7005, pp. 162–167, Sep. 2004, doi: 10.1038/nature02851. arXiv:cond-mat/0407325. D
  10. [592] T. C. White et al., “Traveling wave parametric amplifier with Josephson junctions using minimal resonator phase matching,” arXiv:1503.04364, Mar. 2015. D
  11. [593] Silent Waves, “Silent Waves - Traveling-Wave Parametric Amplifiers (TWPAs),” Mar. 13, 2026. [Online]. Available: https://www.silent-waves.com/ C
  12. [594] QuantWare, “Peripherals — Crescendo TWPA,” 2026. [Online]. Available: https://quantware.com/product/peripherals C
  13. [595] D. Finke, “QuantumCore Secures $1.7M NSERC Grant to Advance Superconducting Amplifiers,” Quantum Computing Report, Apr. 25, 2026. [Online]. Available: https://quantumcomputingreport.com/quantumcore-partners-with-iqc-and-nserc-in-1-7m-traveling-wave-parametric-amplifier-twpa-development-initiative/ P

General facts cited above: fact, fact.