NetQMPI: An MPI-Inspired software for programming Distributed Quantum Applications over Quantum Networks using NetQASM SDK
- URL: http://arxiv.org/abs/2512.11483v1
- Date: Fri, 12 Dec 2025 11:32:42 GMT
- Title: NetQMPI: An MPI-Inspired software for programming Distributed Quantum Applications over Quantum Networks using NetQASM SDK
- Authors: F. Javier Cardama, Tomás F. Pena,
- Abstract summary: This paper introduces textbfNetQMPI, a high-level Python framework that adapts the Message Passing Interface (MPI) standard to the quantum domain.<n>We propose semantic point-to-point primitives and novel collective operations--such as expose and unexpose--that address the constraints of the No-Cloning Theorem.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Distributed Quantum Computing (DQC) is essential for scaling quantum algorithms beyond the limitations of monolithic NISQ devices. However, the current software ecosystem forces developers to manually orchestrate low-level network resources, such as entanglement generation (EPR pairs) and classical synchronization, leading to verbose, error-prone, and non-scalable code. This paper introduces \textbf{NetQMPI}, a high-level Python framework that adapts the Message Passing Interface (MPI) standard to the quantum domain using the Single Program Multiple Data (SPMD) paradigm. Built as a middleware over the NetQASM SDK, NetQMPI abstracts the underlying physical topology, automating network initialization and resource management through a unified Communicator interface. We propose semantic point-to-point primitives and novel collective operations--such as expose and unexpose--that address the constraints of the No-Cloning Theorem by leveraging multipartite entanglement for data distribution. Our comparative analysis demonstrates that NetQMPI decouples algorithmic logic from network size, reducing the code complexity for generating an $N$-node GHZ state from $\mathcal{O}(N^2)$ to constant complexity $\mathcal{O}(1)$. Furthermore, the framework ensures backend agnosticism, enabling the seamless execution of high-level applications on rigorous physical simulators like NetSquid (via SquidASM) and future quantum hardware adhering to the NetQASM standard.
Related papers
- TensorCircuit-NG: A Universal, Composable, and Scalable Platform for Quantum Computing and Quantum Simulation [33.05172028111655]
We presentCircuit-NG, a next-generation quantum software platform designed to bridge the gap between quantum physics, artificial intelligence, and high-performance computing.<n>Circuit-NG establishes a unified, tensor-native programming paradigm where quantum circuits, tensor networks, and neural networks fuse into a single, end-to-end differentiable computational graph.
arXiv Detail & Related papers (2026-02-15T14:37:37Z) - The Munich Quantum Software Stack: Connecting End Users, Integrating Diverse Quantum Technologies, Accelerating HPC [5.146763143734571]
We introduce the Munich Quantum Software Stack (MQSS), a modular, open-source, community-driven ecosystem for hybrid quantum-classical applications.<n>MQSS's multi-layer architecture executes high-level applications on heterogeneous quantum back ends and coordinates their coupling with classical workloads.<n>Core elements include front-end adapters for popular frameworks and new programming approaches, an HPC-integrated scheduler, a powerful MLIR-based compiler, and a standardized hardware abstraction layer, the Quantum Device Management Interface (QDMI)
arXiv Detail & Related papers (2025-09-02T18:00:01Z) - OSI Stack Redesign for Quantum Networks: Requirements, Technologies, Challenges, and Future Directions [0.0]
Quantum communication is poised to become a foundational element of next-generation networking.<n>The classical OSI model-designed for deterministic and error-tolerant systems-cannot support quantum-specific phenomena.<n>This paper proposes an architectural redesign of the OSI model for quantum networks in the context of 7G.
arXiv Detail & Related papers (2025-06-13T19:48:18Z) - SeQUeNCe GUI: An Extensible User Interface for Discrete Event Quantum Network Simulations [55.2480439325792]
SeQUeNCe is an open source simulator of quantum network communication.<n>We implement a graphical user interface which maintains the core principles of SeQUeNCe.
arXiv Detail & Related papers (2025-01-15T19:36:09Z) - NetQIR: An Extension of QIR for Distributed Quantum Computing [2.924756839755417]
NetQIR is an extension of Microsoft's Quantum Intermediate Representation (QIR)<n>It was developed in response to the lack of abstraction at the network and hardware layers.<n>It aims to bridge the gap between high-level quantum algorithm design and low-level hardware execution.
arXiv Detail & Related papers (2024-08-07T12:01:47Z) - Elastic Entangled Pair and Qubit Resource Management in Quantum Cloud
Computing [73.7522199491117]
Quantum cloud computing (QCC) offers a promising approach to efficiently provide quantum computing resources.
The fluctuations in user demand and quantum circuit requirements are challenging for efficient resource provisioning.
We propose a resource allocation model to provision quantum computing and networking resources.
arXiv Detail & Related papers (2023-07-25T00:38:46Z) - Cloud on-demand emulation of quantum dynamics with tensor networks [48.7576911714538]
We introduce a tensor network based emulator, simulating a programmable analog quantum processing unit (QPU)
The software package is fully integrated in a cloud platform providing a common interface for executing jobs on a HPC cluster as well as dispatching them to a QPU device.
arXiv Detail & Related papers (2023-02-10T14:08:05Z) - QSAN: A Near-term Achievable Quantum Self-Attention Network [73.15524926159702]
Self-Attention Mechanism (SAM) is good at capturing the internal connections of features.
A novel Quantum Self-Attention Network (QSAN) is proposed for image classification tasks on near-term quantum devices.
arXiv Detail & Related papers (2022-07-14T12:22:51Z) - An Adaptive Device-Edge Co-Inference Framework Based on Soft
Actor-Critic [72.35307086274912]
High-dimension parameter model and large-scale mathematical calculation restrict execution efficiency, especially for Internet of Things (IoT) devices.
We propose a new Deep Reinforcement Learning (DRL)-Soft Actor Critic for discrete (SAC-d), which generates the emphexit point, emphexit point, and emphcompressing bits by soft policy iterations.
Based on the latency and accuracy aware reward design, such an computation can well adapt to the complex environment like dynamic wireless channel and arbitrary processing, and is capable of supporting the 5G URL
arXiv Detail & Related papers (2022-01-09T09:31:50Z) - NetQASM -- A low-level instruction set architecture for hybrid
quantum-classical programs in a quantum internet [0.1477771876929053]
NetQASM is a low-level instruction set architecture for quantum internet applications.
We implement NetQASM in a series of tools to write, parse, encode and run NetQASM code.
arXiv Detail & Related papers (2021-11-18T17:46:46Z) - Parallel Simulation of Quantum Networks with Distributed Quantum State
Management [56.24769206561207]
We identify requirements for parallel simulation of quantum networks and develop the first parallel discrete event quantum network simulator.
Our contributions include the design and development of a quantum state manager that maintains shared quantum information distributed across multiple processes.
We release the parallel SeQUeNCe simulator as an open-source tool alongside the existing sequential version.
arXiv Detail & Related papers (2021-11-06T16:51:17Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.