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Design of high-performance entangling logic in silicon quantum dot systems with Bayesian optimization.

Ji-Hoon Kang1, Taehyun Yoon2, Chanhui Lee3

  • 1Division of National Supercomputing, Korea Institute of Science and Technology Information, Daejeon, 34141, Republic of Korea.

Scientific Reports
|May 2, 2024
PubMed
Summary

This study introduces a systematic design approach using Bayesian optimization and simulations to improve silicon quantum dot operations. The method enhances the speed and precision of quantum logic gates for competitive quantum computing.

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Area of Science:

  • Quantum Computing
  • Materials Science
  • Computational Physics

Background:

  • Silicon (Si) quantum bits (qubits) require advanced engineering for competitiveness against superconducting and trapped ion platforms.
  • Efficient and precise quantum operations are crucial for scalable quantum computing.

Purpose of the Study:

  • To develop a systematic design approach for optimizing silicon quantum dot (QD) systems.
  • To enhance the speed and fidelity of entangling operations in Si QD qubits.

Main Methods:

  • Combining computer-aided device simulations with Bayesian optimization (BO).
  • Utilizing Gaussian process regression within BO to optimize Si double QD system design factors.
  • Focusing on the controlled-X (CNOT) logic operation driven by a single microwave pulse.

Main Results:

  • Achieved optimal design factors for a Si double QD system for fast and precise CNOT operations.
  • Demonstrated a cost-efficient method for enhancing quantum operation performance.
  • Validated the framework's potential for complex quantum logic implementation.

Conclusions:

  • The proposed systematic design approach significantly improves Si QD qubit performance.
  • This framework offers a pathway for realizing advanced quantum logic operations in silicon.
  • The method is extendable to more complex quantum computing architectures.