Figure

Description

The Gmon is a superconducting qubit architecture developed at Google that adds a tunable coupler between neighboring Xmon-style qubits. Introduced by Y. Chen et al. (2014), the “g” in Gmon refers to the tunable coupling strength between qubits.

The tunable coupler is itself a frequency-tunable transmon-like element placed between two computational qubits. By adjusting its frequency via a flux line, the effective qubit-qubit coupling can be tuned from a finite positive value through zero to a finite negative value. This enables:

  1. Fast two-qubit gates: bringing qubits into resonance with strong coupling for SWAP-like gates in ~10–20 ns.
  2. Idle isolation: parking the coupler to cancel residual coupling, suppressing always-on errors.
  3. CZ gates: diabatic flux pulses that accumulate a conditional phase.

The Gmon/tunable-coupler architecture was used in Google’s Sycamore (2019) and Willow (2024) processors and has become the dominant paradigm for frequency-tunable superconducting qubit arrays.

Hamiltonian

The three-body system (qubit 1 — coupler — qubit 2):

The effective qubit-qubit coupling after adiabatically eliminating the coupler:

where is the coupler detuning. Setting achieves zero effective coupling (idle point).

Motivation

Fixed-coupling architectures suffer from always-on interaction, causing idle errors and frequency-crowding constraints. The tunable coupler solves both: it allows fast gates when coupling is “on” and near-perfect isolation when “off,” dramatically improving circuit fidelity for multi-qubit algorithms.

Experimental Status

First demonstration — Y. Chen et al. (2014):

  • Demonstrated tunable coupling between two Xmon-style qubits via a flux-tunable coupler element.
  • Achieved two-qubit gate fidelities suitable for quantum error correction exploration.
  • Showed ON/OFF switching of effective coupling by tuning the coupler frequency.

Sycamore processor — Arute et al. (2019):

  • 53-qubit processor using Gmon-style tunable couplers for 86 qubit pairs.
  • Median CZ fidelity 99.4% via randomized benchmarking.
  • Demonstrated quantum computational advantage.

Willow processor — Google Quantum AI (2025):

  • Improved to 99.7–99.85% median CZ fidelity.
  • Enabled below-threshold surface code operation with 105 qubits.

Key Metrics

MetricValueNotesFidelity reference
2Q gate fidelity99.5–99.9%CZ or SWAPY. Chen et al. 2014
2Q gate time10–30 nsFast parametric gates
Residual (off)<10 kHzAt idle point
1Q gate fidelity99.9%+Same as XmonY. Chen et al. 2014
Operating temperature10–20 mKDilution refrigerator

References

Original proposal and demonstration

Key experimental milestones

  • F. Arute et al., “Quantum supremacy using a programmable superconducting processor,” Nature 574, 505 (2019)
  • Google Quantum AI, “Quantum error correction below the surface code threshold,” Nature 638, 920 (2025)

Linked Papers

  • xmon — predecessor qubit architecture without tunable coupling
  • transmon — parent qubit family
  • tunable-coupler — the coupling element technology in detail
  • circuit-qed — measurement and readout framework