PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 19, 2026Nature Electronics0 citationsOpen Access

Single-shot in situ readout of a spin qubit unit cell

PHPierre HamonicMTMathieu ToubeixGHG. Haas

Key Points

  • This work aims to achieve single-shot readout for spin qubits in semiconductor quantum dots, addressing challenges in quantum computing scalability.
  • Developed a compact, foundry-fabricated unit cell with two electron spins and manageable exchange interactions.
  • Utilized in situ dispersive readout to facilitate initialization and single-shot qubit readout at 1 K.
  • Evaluated spin visibility through exchange oscillations and analyzed charge noise levels via free induction decay.
  • Achieved a spin visibility of 80.7(8)% for coherent qubit control.
  • Demonstrated functionality of the unit cell under low charge noise conditions.
  • Established reliable single-shot readout with a small lever arm (less than 0.15(5) eV V−1 ).

Abstract

Abstract Spin qubits based on semiconductor quantum dots can offer high coherence times and gate fidelities, and are a potential platform for quantum computation. However, scaling up the number of qubits to the level required for fault-tolerant quantum computing is challenging and will require single-shot, low-footprint qubit readout. Here we report single-shot readout of a spin qubit unit cell using in situ dispersive readout. Our compact, foundry-fabricated unit cell is composed of two electron spins with a controllable exchange interaction, and with it we demonstrate initialization, single-shot readout and a two-electron entangling gate. From exchange oscillations, we extract a spin visibility of 80.7(8)% in the coherent control of a qubit, despite a relatively small lever arm to the resonator gate (less than 0.15(5) eV V −1 ). We show that the unit cell can be operated at up to 1 K with low charge noise levels, extracted using free induction decay.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Hamonic et al. (2026) studied this question.

synapsesocial.com/papers/6a34dde465a5b0777af2d79ahttps://doi.org/10.1038/s41928-026-01654-9
Ask AI
Helpful
Bookmark
Share
View Full Paper