Quantum control for high-fidelity multi-qubit gates

Abstract

Quantum control for error correction is critical for the practical use of quantum computers. We address quantum optimal control for single-shot multi-qubit gates by framing as a feasibility problem for the Hamiltonian model and then solving with standard global-optimization software. Our approach yields faster high-fidelity ($>$99.99\%) single-shot three-qubit-gate control than obtained previously, and our method has enabled us to solve the quantum-control problem for a fast high-fidelity four-qubit gate.

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Cited by in corpus (11)

• Supervised learning for robust quantum control in composite-pulse systems
• Optimal quantum control via genetic algorithms for quantum state engineering in driven-resonator mediated networks
• Machine-learning based three-qubit gate for realization of a Toffoli gate with cQED-based transmon systems
• Single-step high-fidelity three-qubit gates by anisotropic chiral interactions
• Approximations in transmon simulation
• Machine-learning-inspired quantum optimal control of nonadiabatic geometric quantum computation via reverse engineering
• Designing high-fidelity multi-qubit gates for semiconductor quantum dots through deep reinforcement learning
• General off-resonance error robust symmetric composite pulses with three elementary operations
• Algorithmic Primitives for Quantum-Assisted Quantum Control
• Tensor product approach to quantum control
• Nonlinear quantum gates for a Bose-Einstein condensate