Overhead in Quantum Circuits with Time-Multiplexed Qubit Control
Journal article, 2026

When scaling up quantum processors in a cryogenic environment, it is desirable to limit the number of qubit drive lines going into the cryostat, since fewer lines make cooling of the system more manageable and the need for complicated electronics setups is reduced. However, although time multiplexing of qubit control enables using just a few drive lines to steer many qubits, it comes with a trade-off: Fewer drive lines means fewer qubits can be controlled in parallel, which leads to an overhead in the execution time for quantum algorithms. In this article, we quantify this trade-off through numerical and analytical investigations. For standard quantum processor layouts and typical gate times, we show that the tradeoff is favorable for many common quantum algorithms—the number of drive lines can be significantly reduced without introducing much overhead. Specifically, we show that couplers for two-qubit gates can be grouped on common drive lines without any overhead up to a limit set by the connectivity of the qubits. For single-qubit gates, we find that the serialization overhead generally scales only logarithmically in the number of qubits sharing a drive line, and the serialization overhead relative to total quantum circuit duration tends to grow only sublinearly or stay nearly constant with the total number of qubits on the quantum processor. These results are promising for continued progress toward large-scale quantum computers.

Author

Marvin Richter

Chalmers, Microtechnology and Nanoscience (MC2), Applied Quantum Physics

Ingrid Strandberg

Chalmers, Microtechnology and Nanoscience (MC2), Quantum Technology

Simone Gasparinetti

Chalmers, Microtechnology and Nanoscience (MC2), Quantum Technology

Anton Frisk Kockum

Chalmers, Microtechnology and Nanoscience (MC2), Applied Quantum Physics

PRX Quantum

26913399 (eISSN)

Vol. 7 2 1-26

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Subject Categories (SSIF 2025)

Computer Engineering

Condensed Matter Physics

Other Physics Topics

Infrastructure

C3SE (-2020, Chalmers Centre for Computational Science and Engineering)

DOI

10.1103/82cj-lfzy

More information

Latest update

5/12/2026