Back to News
quantum-computing

Q-DICE: Quantum Distributed Interconnect Compiler and Emulator

arXiv Quantum Physics
Loading...
3 min read
0 likes
⚡ Quantum Brief
Researchers introduced Q-DICE, a hardware-aware emulation tool for benchmarking distributed quantum circuits on classical and NISQ-era systems. It features a programmatic scheme to build distributed QPU backends using novel QPU slicing and stitching techniques for circuit mapping. The tool models nonlocal link noise with physically motivated Kraus operators and stochastic error channels for realistic simulations. A boundary-aware circuit mapping algorithm enforces distributed QPU topology constraints during transpilation to mirror real hardware limitations. Validation tests on distributed Grover’s search showed a 4% worst-case fidelity deviation from experimental results, proving its accuracy.
Q-DICE: Quantum Distributed Interconnect Compiler and Emulator

Summarize this article with:

Quantum Physics arXiv:2606.11340 (quant-ph) [Submitted on 9 Jun 2026] Title:Q-DICE: Quantum Distributed Interconnect Compiler and Emulator Authors:Michael Silver, Zachary Vernec, Hans-Arno Jacobsen View a PDF of the paper titled Q-DICE: Quantum Distributed Interconnect Compiler and Emulator, by Michael Silver and 2 other authors View PDF HTML (experimental) Abstract:As distributed quantum computing (DQC) offers a leading path towards scalable quantum computation, the ability to benchmark distributed algorithms under realistic conditions becomes critical for system co-design. However, without access to physical systems, researchers lack tools to evaluate distribution protocols. We introduce Q-DICE (Quantum Distributed Interconnect Compiler and Emulator), a hardware-aware emulation environment for benchmarking distributed quantum circuits on classical simulators and on NISQ-era monolithic hardware. This work provides three core contributions: (1) a programmatic scheme to construct distributed QPU backends, utilizing two novel techniques - QPU slicing and stitching - to facilitate distributed circuit mapping, (2) a methodology for modeling nonlocal link noise using physically motivated Kraus operators and stochastic error channels, and (3) a boundary-aware circuit mapping algorithm enforcing distributed QPU topology constraints during transpilation. Together, these components constitute a distribution-aware compiler and noise-modeling engine that faithfully enforces the physical limitations of distributed quantum hardware within existing execution environments. We validate Q-DICE against a multitude of experimentally demonstrated quantum circuits, including a distributed Grover's search on optically linked trapped-ion hardware, achieving a worst-case fidelity deviation of 4% between simulated and experimental results. These findings demonstrate Q-DICE's capacity to accurately reproduce real distributed quantum system behavior across platforms, streamlining experimentation with distributed quantum algorithms and architectures. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2606.11340 [quant-ph] (or arXiv:2606.11340v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2606.11340 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Michael Silver [view email] [v1] Tue, 9 Jun 2026 18:19:08 UTC (1,508 KB) Full-text links: Access Paper: View a PDF of the paper titled Q-DICE: Quantum Distributed Interconnect Compiler and Emulator, by Michael Silver and 2 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-06 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

Read Original

Tags

quantum-computing
quantum-algorithms
quantum-hardware

Source Information

Source: arXiv Quantum Physics