Non-Local Phase Estimation with a Rydberg-Superconducting Qubit Hybrid

TL;DR

This paper demonstrates a hybrid quantum system combining Rydberg atom and superconducting qubits to perform distributed quantum phase estimation, analyzing noise effects and optimizing gate operations with quantum control techniques.

Contribution

It introduces a novel hybrid system for distributed quantum computing and applies quantum optimal control to improve gate fidelity in this setup.

Findings

Tradeoffs between GRAPE step size, iterations, and noise level.

Successful implementation of quantum phase estimation on a hybrid system.

Analysis of noise sources in the hybrid quantum system.

Abstract

Distributed quantum computing (DQC) is crucial for high-volume quantum processing in the NISQ era. Many different technologies are utilized to implement a quantum computer, each with a different advantages and disadvantages. Various research is performed on how to implement DQC within a certain technology, but research on DQC between different technologies is rather limited. In this work, we contribute to this latter research line, by implementing the Quantum Phase Estimation algorithm on a superconducting-resonator-atom hybrid system. This system combines a Rydberg atom qubit, as well as a superconducting flux qubit system to perform the algorithm. In addition, Hamiltonian dynamics are studied to analyze noise sources, after which quantum optimal control (GRAPE) is used to optimize gate construction. The results show tradeoffs between GRAPE step size, iterations and noise level.