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May 7, 2026Next Materials0 citationsOpen Access

Reconfigurable electron-qubit arrays on liquid helium with graphene gates: A programmable platform for quantum simulation and precision measurement

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AKAirat KiiamovDTDmitrii Tayurskii

Key Points

  • To develop a scalable framework for constructing reconfigurable arrays of electron qubits on liquid helium surfaces.
  • Theoretical analysis of planar device design with graphene gates on liquid helium.
  • Utilization of sequential tuning of the Fermi level of graphene gate segments.
  • Analysis of trade-offs between tunability and charge noise sensitivity.
  • Facilitated site-specific control of Rydberg transition frequencies.
  • Achieved coherence in electron interactions on helium surfaces.
  • Outlined protocols for high-fidelity readout using local graphene sensing.

Abstract

We present a theoretical framework for constructing defect-free, spectrally and spatially reconfigurable arrays of electron qubits on liquid helium surfaces. Addressing the scalability challenges of current architectures, we propose a planar device design utilizing segmented graphene gates suspended at a uniform height. Instead of relying on complex 3D geometric structuring to differentiate qubits, we exploit the unique electronic properties of graphene: by individually tuning the Fermi level of each gate segment, we modulate the screening of the image charge potential via the density-dependent Thomas–Fermi mechanism. This approach leverages the intrinsic field-effect tunability of the Dirac electron gas to achieve a functionality unattainable with conventional metallic gates. This allows for all-electrical, site-specific control of the Rydberg transition frequencies ( > 150 MHz detuning) and inter-qubit interactions. The proposed platform combines the exceptional coherence of electrons on helium ( T 2 ∼ 1 s) with the dynamic reconfigurability of optical tweezer arrays. We provide a comprehensive analysis of the device physics, explicitly resolving the trade-off between tunability and charge noise sensitivity via optimal point biasing. Furthermore, we outline protocols for high-fidelity readout using parametric amplification or local graphene sensing. This architecture paves the way for scalable quantum simulation of Fermi–Hubbard models and fault-tolerant quantum computing, establishing suspended 2D materials as critical enablers for next-generation quantum hardware.

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Cite This Study

Kiiamov et al. (2026) studied this question.

synapsesocial.com/papers/69fbefa3164b5133a91a3a57https://doi.org/10.1016/j.nxmate.2026.102144
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