Q-Fly: An Optical Interconnect for Modular Quantum Computers

TL;DR

This paper introduces Q-Fly, an optical interconnect architecture for modular quantum computers, addressing signal loss challenges and proposing a scalable, low-hops network design with a prototype demonstrating feasible entanglement fidelities.

Contribution

It proposes a novel multi-group optical interconnect inspired by classical topology, with a full-stack analysis, prototype implementation, and scalability evaluation for quantum systems.

Findings

Two-hop entanglement fidelities of 0.6-0.76 achieved

Moderate-radix switches enable near-term scalable quantum systems

Design reduces network hops and optical components for stability

Abstract

Much like classical supercomputers, scaling up quantum computers requires an optical interconnect. However, signal attenuation leads to irreversible qubit loss, making quantum interconnect design guidelines and metrics different from conventional computing. Inspired by the classical Dragonfly topology, we propose a multi-group structure where the group switch routes photons emitted by computational end nodes to the group's shared pool of Bell state analyzers (which conduct the entanglement swapping that creates end-to-end entanglement) or across a low-diameter path to another group. We present a full-stack analysis of system performance, a combination of distributed and centralized protocols, and a resource scheduler that plans qubit placement and communications for large-scale, fault-tolerant systems. We implement a prototype three-node switched interconnect to justify hardware-side scalability and to expose low-level architectural challenges. We create two-hop entanglement with fidelities of 0.6-0.76. Our design emphasizes reducing network hops and optical components to simplify system stabilization while flexibly adjusting optical path lengths. Based on evaluated loss and infidelity budgets, we find that moderate-radix switches enable systems meeting expected near-term needs, and large systems are feasible. Our design is expected to be effective for a variety of quantum computing technologies, including ion traps and neutral atoms.