The spider-web array–a sparse spin qubit array

Kavli Affiliate: Menno Veldhorst

| First 5 Authors: Jelmer M. Boter, Juan P. Dehollain, Jeroen P. G. van Dijk, Yuanxing Xu, Toivo Hensgens

| Summary:

One of the main bottlenecks in the pursuit of a large-scale–chip-based
quantum computer is the large number of control signals needed to operate qubit
systems. As system sizes scale up, the number of terminals required to connect
to off-chip control electronics quickly becomes unmanageable. Here, we discuss
a quantum-dot spin-qubit architecture that integrates on-chip control
electronics, allowing for a significant reduction in the number of signal
connections at the chip boundary. By arranging the qubits in a two-dimensional
(2D) array with $sim$12 $mu$m pitch, we create space to implement locally
integrated sample-and-hold circuits. This allows to offset the inhomogeneities
in the potential landscape across the array and to globally share the majority
of the control signals for qubit operations. We make use of advanced circuit
modeling software to go beyond conceptual drawings of the component layout, to
assess the feasibility of the scheme through a concrete floor plan, including
estimates of footprints for quantum and classical electronics, as well as
routing of signal lines across the chip using different interconnect layers. We
make use of local demultiplexing circuits to achieve an efficient
signal-connection scaling leading to a Rent’s exponent as low as $p = 0.43$.
Furthermore, we use available data from state-of-the-art spin qubit and
microelectronics technology development, as well as circuit models and
simulations, to estimate the operation frequencies and power consumption of a
million-qubit processor. This work presents a novel and complementary approach
to previously proposed architectures, focusing on a feasible scheme to
integrating quantum and classical hardware, and significantly closing the gap
towards a fully CMOS-compatible quantum computer implementation.

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