A Modular, Topology-Aware Software Stack for Entanglement-Based Distributed Quantum Computing

• URL: http://arxiv.org/abs/2609.15728v1
• Date: Mon, 14 Sep 2026 15:24:47 GMT
• Title: A Modular, Topology-Aware Software Stack for Entanglement-Based Distributed Quantum Computing
• Abstract summary: We present an open-source framework for the compilation and scheduling of distributed quantum programs.<n>We show that the best-performing compilation strategy varies across the tested circuits and network configurations.
• Score: 0.7344283583396618
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Distributed quantum computing (DQC) seeks to scale beyond the limits of monolithic processors by interconnecting multiple quantum processing units (QPUs) through entanglement-based links. Realizing this vision requires the co-design of hardware and software across the domains of quantum networking, compilation, and scheduling, yet existing tools remain fragmented between monolithic circuit compilers and long-distance quantum network simulators. We present an open-source, topology-informed framework for the compilation and scheduling of distributed quantum programs. Given an input circuit and a description of the target network, the framework partitions and reconstructs the circuit into a distributed program that respects the specified inter- and intra-QPU topology, covers cross-QPU operations through gate and state teleportation, and schedules the result under either deterministic or stochastic entanglement-generation models. By accepting and emitting standard OpenQASM, the framework interoperates with existing monolithic toolchains, and its standardized module interfaces allow partitioning and scheduling strategies to be interchanged and benchmarked. Using this framework, we show that the best-performing compilation strategy varies across the tested circuits and network configurations, and that both network topology and intra-QPU connectivity substantially affect the entanglement cost of execution. These findings underscore the need for a co-design approach to distributed quantum computing, which our framework is designed to support.

Related papers

• Towards Reproducible Evaluation of Distributed Quantum Circuit Partitioning Algorithms [1.6355471507854134]
  Distributed Quantum Computing (DQC) addresses the physical scaling limitations of monolithic quantum processors by networking modular Quantum Processing Units (QPUs)<n> Efficient execution of quantum algorithms on DQC architectures requires compiling them across QPUs while minimizing inter-QPU communication bottlenecks, primarily through circuit partitioning.<n>This paper applies established monolithic metrics to partitioned distributed circuits to quantify the performance impact of network constraints.
  arXiv  Detail & Related papers  (2026-08-27T13:15:26Z)
• Architectural scaling tradeoffs in modular 3D bosonic quantum processors [60.61253784194378]
  We propose a three-dimensional bosonic quantum processor built from coupled-cavity modules linked by interconnect networks.<n>We compare nearest-neighbor, hub-based, and hybrid architectures in terms of interconnect count, communication distance, resource concentration, and implementation complexity.
  arXiv  Detail & Related papers  (2026-08-22T02:31:24Z)
• Deploying and validating a metropolitan QKD secure network: architecture and field performance [76.02413102965598]
  Quantum Key Distribution provides information-theoretic security for key establishment.<n>A metropolitan-scale quantum-secure network between data centers in Milan is reported.<n>Results establish the technical and operational readiness of metropolitan QKD networks for production deployment.
  arXiv  Detail & Related papers  (2026-07-13T15:51:26Z)
• Q-DICE: Quantum Distributed Interconnect Compiler and Emulator [6.651912879528297]
  We introduce Q-DICE, a hardware-aware emulation environment for benchmarking distributed quantum circuits on classical simulators and on monolithic hardware.<n>Q-DICE is a distribution-aware compiler and noisemodeling engine that faithfully enforces the physical limitations of distributed quantum hardware.<n>These findings demonstrate Q-DICE's capacity to accurately reproduce real distributed quantum system behavior across platforms.
  arXiv  Detail & Related papers  (2026-06-09T18:19:08Z)
• A Scalable Distributed Quantum Optimization Framework via Factor Graph Paradigm [46.08923284345648]
  We introduce a structure-aware framework for distributed quantum optimization.<n>We find that for a search space of size $N$, our framework achieves $O(sqrtN)$ query complexity up to processors and separator dependent factors.<n>We show that structure-aware decomposition delivers a practical path to scalable distributed quantum optimization on quantum networks.
  arXiv  Detail & Related papers  (2026-03-08T15:15:52Z)
• 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)
• A Framework for Quantum Data Center Emulation Using Digital Quantum Computers [4.4249067508724815]
  We propose a framework that emulates a distributed quantum computing system using a single quantum processor.<n>We introduce an experimentally grounded noise model based on quantum collision dynamics to quantify the interconnect-induced noise.<n>The framework is validated using IBM's quantum hardware, demonstrating the successful execution of remote gates.
  arXiv  Detail & Related papers  (2025-09-04T09:04:54Z)
• Quantum Resource Management in the NISQ Era: Challenges, Vision, and a Runtime Framework [41.99844472131922]
  We propose a vision for a runtime-aware quantum software development, identifying key challenges to its realization.<n>We introduce Qonscious, a prototype framework that enables conditional execution of quantum programs based on dynamic resource evaluation.
  arXiv  Detail & Related papers  (2025-08-23T15:34:12Z)
• Efficient Gate Reordering for Distributed Quantum Compiling in Data Centers [0.0]
  It is crucial to develop methods and software that minimize the number of inter-QPU communications.<n>Here we describe key features of the quantum compiler araQne, which is designed to minimize distribution cost.<n>We establish the crucial role played by circuit reordering strategies, which strongly reduce the distribution cost compared to a baseline approach.
  arXiv  Detail & Related papers  (2025-07-01T18:00:02Z)
• Quantum Compiler Design for Qubit Mapping and Routing: A Cross-Architectural Survey of Superconducting, Trapped-Ion, and Neutral Atom Systems [36.240273478884696]
  We review and categorize research on the qubit mapping and routing problems across the three mainstream quantum hardware platforms.<n>We primarily explore the development of hardware-aware compilers for superconducting platforms.<n>We examine the evolution of trapped-ion and neutral atom devices.
  arXiv  Detail & Related papers  (2025-05-22T16:49:57Z)
• 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)
• Distributed Quantum Computing in Silicon [40.16556091789959]
  We present preliminary demonstrations of some key distributed quantum computing protocols on silicon T centres in isotopically-enriched silicon. We demonstrate the distribution of entanglement between modules and consume it to apply a teleported gate sequence.
  arXiv  Detail & Related papers  (2024-06-03T18:02:49Z)
• The Basis of Design Tools for Quantum Computing: Arrays, Decision Diagrams, Tensor Networks, and ZX-Calculus [55.58528469973086]
  Quantum computers promise to efficiently solve important problems classical computers never will. A fully automated quantum software stack needs to be developed. This work provides a look "under the hood" of today's tools and showcases how these means are utilized in them, e.g., for simulation, compilation, and verification of quantum circuits.
  arXiv  Detail & Related papers  (2023-01-10T19:00:00Z)

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.