Dynamically Optimized Super-Robust Nonadiabatic Holonomic Quantum Gates Based on Superconducting Circuits

TL;DR

This paper introduces a dynamically optimized nonadiabatic holonomic quantum gate scheme that significantly enhances robustness against control errors and decoherence in superconducting circuits, advancing scalable quantum computation.

Contribution

It proposes a novel dynamically corrected pulse design for super-robust NHQC, ensuring immunity to control errors and integrating DFS encoding for high-fidelity gates.

Findings

Achieves error correction up to the fourth order.

Demonstrates high-fidelity gates in superconducting circuits.

Shows robustness against control and dephasing errors.

Abstract

Nonadiabatic holonomic quantum computation (NHQC) leverages non-Abelian geometric phases within a nonadiabatic framework to achieve fast and robust quantum gate operations. However, the practical implementation of NHQC is challenged by the imperfect control inherent in experimental environments. Ensuring deep suppression of control error is critical. In this work, we propose a dynamically optimized NHQC scheme to construct universal super-robust holonomic quantum gates. The proposed scheme is implemented by strategically designing a set of dynamically correcting pulses to achieve cyclic evolution, while ensuring that unwanted and disruptive dynamical phase elements, including previously neglected cross-coupling terms, are not accumulated. This constructed super-robust NHQC scheme efficiently safeguards the cyclic evolution process and makes the holonomic gate immune to control error by effectively correcting the error up to the fourth order. Furthermore, when integrated with decoherence-free subspace (DFS) encoding in superconducting quantum circuits, our scheme can achieve high-fidelity holonomic gates, and demonstrate robust resilience against both control errors and collective dephasing errors. Consequently, our work offers a promising pathway toward the realization of scalable and fault-tolerant holonomic quantum computation.