# QMIO: A tightly integrated hybrid HPCQC system

arXiv: https://arxiv.org/abs/2505.19267 · HTML: https://mlsanity.com/paper/2505.19267/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 May 2025.

## Built on by (most cited first, 1 of 1)

- [Vectorized Attention with Learnable Encoding for Quantum Transformer](https://mlsanity.com/paper/2508.18464/) (2025)

## Abstract (arXiv)

High-Performance Computing (HPC) systems are the most powerful tools that we currently have to solve complex scientific simulations. Quantum computing (QC) has the potential to enhance HPC systems by accelerating the execution of specific kernels that can be offloaded to a Quantum Processing Unit (QPU), granting them new capabilities, improving the speed of computation, or reducing energy consumption. In this paper, we present QMIO: a state-of-the-art hybrid HPCQC system, which tightly integrates HPC and QC. We describe its hardware and software components, the integration middleware, and the lessons learned during the design, implementation, and operation of the system.