From Master Equation to SPICE: A Platform to Model Cryo-CMOS Control for Qubits

Cryogenic classical electronics for the control of qubits can be placed near quantum processors for a more compact system, ultimately enabling a highly scalable one. However, cryogenic operation poses very strict power requirements on electronics, in addition to heavy constraints on precision in both amplitude and phase, as well as noise, so as to achieve the necessary fidelity. To test all the trade-offs that arise from these requirements, detailed simulations based on the physics of qubits and on the effects that circuits may have on them are needed. This paper focuses on the models and the simulation framework needed for quantum processors that can be efficiently executed on classical hardware. These models allow circuit design and specification derivation at all levels of the design. The suitability of the approach is demonstrated with superconducting qubit platforms and their control and characterization.

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Publication Details

Published
2024-09-15
DOI
https://doi.org/10.1109/qce60285.2024.00093
Citations
1
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
article
Field-Weighted Citation Impact
0.28
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From Master Equation to SPICE: A Platform to Model Cryo-CMOS Control for Qubits

Edoardo Charbon, Vladimir Pešić, Andrew Wright
1 citations
Advanced Thermodynamics and Statistical Mechanics
0.28
article

From Master Equation to SPICE: A Platform to Model Cryo-CMOS Control for Qubits

Edoardo Charbon, Vladimir Pešić, Andrew Wright
article en
1 citations

Abstract

Cryogenic classical electronics for the control of qubits can be placed near quantum processors for a more compact system, ultimately enabling a highly scalable one. However, cryogenic operation poses very strict power requirements on electronics, in addition to heavy constraints on precision in both amplitude and phase, as well as noise, so as to achieve the necessary fidelity. To test all the trade-offs that arise from these requirements, detailed simulations based on the physics of qubits and on the effects that circuits may have on them are needed. This paper focuses on the models and the simulation framework needed for quantum processors that can be efficiently executed on classical hardware. These models allow circuit design and specification derivation at all levels of the design. The suitability of the approach is demonstrated with superconducting qubit platforms and their control and characterization.

École Polytechnique Fédérale de Lausanne (CH)
Zero hunger
Openalex Percentile: Top 41%
Advanced Thermodynamics and Statistical Mechanics
0.28
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