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Summary
This summary is machine-generated.

New Verilog-A compact models enable accurate simulation of quantum-classical interfaces for solid-state quantum computers. This allows for the co-simulation of hybrid quantum devices, crucial for advancing quantum computing hardware design.

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Condensed-matter physicsQuantum dotsQuantum informationQuantum physicsQubits

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Area of Science:

  • Quantum Computing Hardware
  • Semiconductor Device Modeling
  • Electronic Design Automation (EDA)

Background:

  • Scalable solid-state quantum computers necessitate seamless integration with classical electronics.
  • Efficient simulation of the quantum-classical electronic interface is critical for developing hybrid quantum systems.
  • Existing simulation tools often lack the capability to accurately model quantum phenomena alongside classical circuits.

Purpose of the Study:

  • To develop Verilog-A compact models for simulating quantum-dot-based systems.
  • To enable faithful reproduction of coherent quantum behavior and decoherence effects in standard electronic circuit simulators.
  • To facilitate compromise-free co-simulation of hybrid quantum devices.

Main Methods:

  • Development of Verilog-A compact models tailored for quantum-dot systems.
  • Integration of these models into industry-standard electronic circuit simulators (e.g., Cadence Spectre®).
  • Co-simulation of circuits containing both quantum and classical components to observe quantum phenomena.

Main Results:

  • Successful demonstration of Verilog-A models accurately capturing coherent quantum behavior and decoherence.
  • Validation of co-simulation capabilities in Cadence Spectre®, showcasing quantum phenomena in hybrid circuits.
  • Proof of concept for simulating quantum processing units and quantum-classical interfaces using established EDA tools.

Conclusions:

  • The developed Verilog-A models enable accurate simulation of quantum-classical interfaces for quantum computing.
  • This approach allows leveraging decades of semiconductor EDA development for quantum system design and optimization.
  • Paves the way for a new paradigm in designing hybrid quantum-analog circuits and quantum processing units.