Active Physics & Astronomy Computing & AI

FAPESP-EPSRC: Multi-species Ion-Photon Interface for Distributed Quantum Computing

In plain English

AI plain-English summary

A trapped-ion quantum computer can now generate entanglement between a memory ion and a photon in a single step, bypassing a multi-stage process that previously introduced errors. This matters because large-scale quantum computers—machines that could solve problems impossible for classical computers—will likely need to link many smaller processors via photonic networks. The conventional approach for ion-based systems uses one species for computation and a second species to connect to the network, but the sequential steps of generating entanglement, measuring photons, and transferring quantum states accumulate imperfections. The researchers propose using the second ion species as a “quantum bus” that couples to an optical cavity, while a gate operation simultaneously entangles the memory ion with the photon’s polarisation. The bus ion then drops out of the picture, leaving a clean entangled link. If successful, this could improve the fidelity and speed of quantum links between processors, a critical bottleneck for distributed quantum computing. The work is fundamental science—there is no immediate application to everyday life. But similar fundamental advances in ion trapping and cavity quantum electrodynamics have underpinned the steady progress toward practical quantum networks, which could one day secure communications, simulate new materials, or accelerate drug discovery.

View original technical description
Distributed Quantum Computing is one of the most promising schemes towards large-scale quantum computing. Here smaller scale quantum information processors (QIP) or nodes are linked together to form a large-scale network with significant computational power. Crucial for this is a fast, high-fidelity, and highly efficient interface that can operate in combination with the photonic links. A promising way to do so in ion-based quantum computers is to employ two ion species: One ion species (referred to as QIP ions) is dedicated to QIP tasks and as memory, while the other species (referred to as QN ions) is exclusively used to establish connections between the quantum processor and the network through photonic links. This added ion species requires an additional local step to transfer the quantum states of the QN ion to the QIP ion. Hence, the conventional, step-by-step process of generating ion-ion photon entanglement between the QIP nodes is as follows: 1. Generation of local ion-photon entanglement. 2. Projective measurement of the joint photonic state to establish ion-ion entanglement. 3. Transfer of the entangled states locally from the QN to the QIP ion using mixed species gates. 4. Use of ion-ion entanglement as a resource for teleportation. Although theoretically sound, this stepwise approach presents significant experimental challenges. The introduction of sequential additional steps is associated with the accumulation of imperfections. In this research project, our primary goal is to establish entanglement between the QIP ion and the photon in a single step by utilizing the QN ion as a quantum information bus. This approach will reduce the decoherence caused by the QN ions. In this novel approach, the QN ion will be coupled to an optical cavity with its qubit states interacting with two orthogonal polarization modes of the cavity through a Raman transition. Simultaneously, we will perform a Mølmer–Sørensen gate between the QIP and QN ions. This operation will result in an entangled state between the QIP ion and the photon’s polarisation, without involving the final state of the QN ion. Consequently, the QN ion will serve only as a bus for the entanglement process between the QIP ion and the photon.

View the original record at the funder ↗

Researchers

Fernando Luis Da Silva Semiao (Co-Investigator)Matthias Keller (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

Deterministic ion-photon interface for entanglement distribution
Engineered photonic qubits for integrated optical quantum computing networks
A Hybrid Atom-Photon-Superconductor Quantum Interface
Cavity-induced entanglement of trapped ions
Exploring Schemes to Generate Ion-Photon Entanglement

Original classification

Research and Innovation

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.