Figure

Description

The barium-137 trapped-ion qubit encodes quantum information in the hyperfine manifold of the ground state of . With nuclear spin , the ground state splits into and hyperfine levels separated by . Both the 2010 single-ion demonstration and Quantinuum’s 2025 Helios processor define the qubit on the magnetically insensitive clock transition , with Helios taking and .

A major attraction of is its favorable laser stack for qubit control and readout. Fluorescence detection uses the 493 nm transition with 650 nm repumping from , while shelving and protected measurement use the narrow 1762 nm transition to the metastable manifold. In Helios, single- and two-qubit gates are driven by pairs of 515 nm Raman beams separated by the qubit splitting. Compared with ultraviolet-gated species, this pushes the core qubit-control optics into a more mature visible/near-IR regime with higher available laser power and reduced UV-induced optics degradation.

Quantinuum’s Helios processor made the first barium-based species deployed in a large-scale trapped-ion quantum computer. Helios is a 98-qubit QCCD processor with data qubits and co-trapped coolant ions for sympathetic recooling. Averaged over its operational zones, Helios reports single-qubit, two-qubit, and SPAM infidelities of , , and respectively, corresponding to fidelities of 99.9975%, 99.921%, and 99.952%. In 2026, the same Helios hardware was used to demonstrate encoded computations with 48 to 94 logical qubits using high-rate iceberg codes.

Hamiltonian

The relevant internal Hamiltonian is the hyperfine-plus-Zeeman Hamiltonian

where is the magnetic-dipole hyperfine constant, is the nuclear spin, is the electronic angular momentum, and is the applied bias field. For the ground state of ,

At zero field, the transition is a true clock transition with no first-order Zeeman shift. Helios operates instead at a finite bias field of about , where the qubit remains an approximate clock transition with second-order magnetic sensitivity; the paper quotes a second-order coefficient of at zero field. State preparation and measurement are implemented by coherently mapping the state into the metastable manifold with 1762 nm pulses, followed by fluorescence detection on the 493/650 nm cycling transitions.

Motivation

Barium offers an unusually attractive trapped-ion engineering point: the qubit species itself can be controlled and measured primarily with visible and near-IR light rather than relying on deep-UV qubit lasers. That improves component availability, eases power delivery, and reduces long-term UV damage to fibers and optics. The hyperfine clock transition also provides the standard trapped-ion virtues of long-lived ground-state storage and magnetic-field robustness.

The species is especially compelling inside a QCCD architecture. In Helios, serves as the data qubit while handles sympathetic cooling, separating computation from recooling and helping preserve qubit coherence during long, transport-heavy programs. The tradeoff is that the full dual-species machine still requires additional UV infrastructure for the ytterbium coolant, so the visible-wavelength advantage applies primarily to the qubit species and gate/readout stack rather than the entire system.

Experimental Status

First hyperfine-qubit demonstration — Dietrich et al. (2010):

  • Demonstrated state preparation, microwave-driven qubit rotation, and shelving-based readout for a single ion.
  • Implemented the ground-state hyperfine qubit on the 8.037 GHz clock transition.
  • Used the 1762 nm transition for selective shelving and readout.

Large-scale processor deployment — Ransford et al. (2025):

  • Introduced Helios, a 98-qubit QCCD processor using hyperfine qubits as data qubits.
  • Co-trapped coolant ions provide sympathetic recooling with 369 nm light.
  • Reported average infidelities of (1Q), (2Q), and (SPAM).
  • Used a four-way X junction, rotatable storage ring, and 8 parallel operation zones for all-to-all connectivity via transport.

Encoded-computation milestone on Helios — Dasu et al. (2026):

  • Demonstrated beyond-break-even encoded computations on the 98-qubit Helios processor using high-rate iceberg codes.
  • Realized fault-tolerant and partially fault-tolerant benchmarks with between 48 and 94 logical qubits.
  • Shows that the barium-based Helios platform is now supporting logical-layer as well as physical-qubit milestones.

Key Metrics

MetricValueNotesFidelity reference
Hyperfine splitting8.037 GHz$F=1,m_F=0\rangle \leftrightarrow
1Q gate fidelity99.9975%Helios zone-averaged benchmarkRansford et al. 2025
2Q gate fidelity99.921%Native / MS-family entangling benchmark on HeliosRansford et al. 2025
SPAM fidelity99.952%From average infidelity Ransford et al. 2025
1Q/2Q gate wavelength515 nmRaman beam pairs separated by the qubit splittingRansford et al. 2025
Cooling / detection493 nm fluorescence transitionDietrich et al. 2010
Repump wavelength650 nmClears population from during fluorescence cycleDietrich et al. 2010
Shelving wavelength1762 nmCoherent mapping to the manifold for readoutDietrich et al. 2010
Bias field (Helios)3.95 GApproximate clock-state operation pointRansford et al. 2025
Logical qubits demonstrated48–94High-rate iceberg-code benchmarks on HeliosDasu et al. 2026

Scaling Considerations

  • Visible/near-IR qubit optics: the barium qubit species moves gate, shelving, and fluorescence hardware away from deep-UV qubit lasers, improving component availability and reducing optics degradation.
  • Not a fully UV-free computer: Helios still relies on sympathetic cooling at 369 nm, so the visible-wavelength advantage is species-specific rather than system-wide.
  • Dual-species complexity: mixed-species loading, transport, recooling, and calibration add real overhead, even though they decouple cooling from computation.
  • QCCD transport overhead: shuttling through junctions and between storage and logic zones trades wiring simplicity for transport scheduling, calibration burden, and clock-speed limits.
  • Isotope logistics: is only about 11% naturally abundant, so isotope-selective loading or enriched sources remain operational considerations.
  • Measurement complexity: the high-fidelity readout stack is powerful but nontrivial, involving coherent 1762 nm mapping pulses, fluorescence cycling, and crosstalk-mitigation protocols.

References

Qubit characterization

Large-scale processor

Logical-layer milestone

Linked Papers