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Space-Time Optimisations for Early Fault-Tolerant Quantum Computation

Sanaa Sharma, Prakash Murali
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⚡ Quantum Brief
Researchers Sanaa Sharma and Prakash Murali propose novel compilation techniques for early fault-tolerant quantum computers, addressing critical resource constraints in first-generation systems with limited qubits and distillation capacity. Their work introduces distillation-adaptive qubit layouts and routing methods, optimizing space-time tradeoffs to reduce qubit overhead by up to 60% compared to existing approaches. Simple greedy heuristics prove surprisingly effective, achieving a 53% qubit reduction against theoretical lower bounds with only a 1.2X increase in execution time. The techniques target near-term FTQC systems expected to operate with tens to hundreds of logical qubits, offering practical solutions for industry adoption within years. This research challenges current overprovisioning practices, demonstrating that resource-efficient compilation can unlock earlier practical applications of fault-tolerant quantum computing.
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Quantum Physics arXiv:2511.08848 (quant-ph) [Submitted on 12 Nov 2025] Title:Space-Time Optimisations for Early Fault-Tolerant Quantum Computation Authors:Sanaa Sharma, Prakash Murali View a PDF of the paper titled Space-Time Optimisations for Early Fault-Tolerant Quantum Computation, by Sanaa Sharma and Prakash Murali View PDF HTML (experimental) Abstract:Fault-tolerance is the future of quantum computing, ensuring error-corrected quantum computation that can be used for practical applications. Resource requirements for fault-tolerant quantum computing (FTQC) are daunting, and hence, compilation techniques must be designed to ensure resource efficiency. There is a growing need for compilation strategies tailored to the early FTQC regime, which refers to the first generation of fault-tolerant machines operating under stringent resource constraints of fewer physical qubits and limited distillation capacity. Present-day compilation techniques are largely focused on overprovisioning of routing paths and make liberal assumptions regarding the availability of distillation factories. Our work develops compilation techniques that are tailored to the needs of early FTQC systems, including distillation-adaptive qubit layouts and routing techniques. In particular, we show that simple greedy heuristics are extremely effective for this problem, offering up to 60% reduction in the number of qubits compared to prior works. Our techniques offer results with an average overhead of 1.2X in execution time for a 53% reduction in qubits against the theoretical lower bounds. As the industry develops early FTQC systems with tens to hundreds of logical qubits over the coming years, our work has the potential to be widely useful for optimising program executions. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2511.08848 [quant-ph] (or arXiv:2511.08848v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2511.08848 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Sanaa Sharma [view email] [v1] Wed, 12 Nov 2025 00:04:53 UTC (3,399 KB) Full-text links: Access Paper: View a PDF of the paper titled Space-Time Optimisations for Early Fault-Tolerant Quantum Computation, by Sanaa Sharma and Prakash MuraliView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2025-11 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?) Links to Code Toggle Papers with Code (What is Papers with Code?) 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?)

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