--- title: New Quantum Algorithm Targets Bottleneck in Fluid-Flow... description: Oak Ridge National Laboratory researchers developed a quantum algorithm called LuGo that dramatically reduces the quantum gate count needed for fluid-flow... canonical: https://daily.dev/posts/new-quantum-algorithm-targets-bottleneck-in-fluid-flow-modeling-smha9qph9 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: New Quantum Algorithm Targets Bottleneck in Fluid-Flow Modeling | daily.dev og:description: Oak Ridge National Laboratory researchers developed a quantum algorithm called LuGo that dramatically reduces the quantum gate count needed for fluid-flow... og:url: https://daily.dev/posts/new-quantum-algorithm-targets-bottleneck-in-fluid-flow-modeling-smha9qph9 og:image: https://api.daily.dev/og/posts/SMHa9qpH9.png og:image:alt: New Quantum Algorithm Targets Bottleneck in Fluid-Flow Modeling og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # New Quantum Algorithm Targets Bottleneck in Fluid-Flow Modeling **[The Quantum Insider](https://daily.dev/sources/thequantuminsider)** · 6 min read · 0 upvotes · 0 comments ## Summary Oak Ridge National Laboratory researchers developed a quantum algorithm called LuGo that dramatically reduces the quantum gate count needed for fluid-flow modeling using quantum phase estimation. By shifting more computation to classical preprocessing before encoding data into quantum circuits, the team cut gate requirements from 2 million to 91,000, a reduction of over 95%. The work builds on earlier research applying the Harrow-Hassidim-Lloyd algorithm to the Hele-Shaw flow equation and was validated via classical simulation and tested on quantum processors from Quantinuum, IBM, and IQM. Potential future applications include microfluidics, groundwater flow, and porous media flow, with researchers eyeing broader use as fault-tolerant quantum computing matures. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is the LuGo quantum algorithm and how does it improve fluid-flow modeling simulations? LuGo is a quantum phase estimation algorithm developed by Oak Ridge National Laboratory researchers that reduces the number of quantum gates needed to solve fluid-flow problems. It performs more preprocessing on classical computers before encoding data into quantum circuits, cutting gate requirements from 2 million to 91,000, a reduction of more than 95%, while extending the HHL algorithm's capability to finer detail. _Developers tracking quantum computing breakthroughs can follow research like this through daily.dev._ ### Why do quantum algorithms for fluid dynamics require so many quantum gates? Converting fluid-flow equations into quantum form through quantum phase estimation consumed more than 90 percent of computational effort in prior approaches, requiring around 2 million logic gates. More gates increase the potential for error and noise since qubits are volatile and degrade quickly, making gate reduction critical for practical quantum simulations of problems like the Hele-Shaw flow equation. _Engineers exploring quantum computing trade-offs can keep up with such research via daily.dev._ ## Similar posts on daily.dev - [Spectral quantum algorithm for passive scalar transport in shear flows](https://daily.dev/posts/spectral-quantum-algorithm-for-passive-scalar-transport-in-shear-flows-r3t7ppbam) · Nature · 0 upvotes · 0 comments - [Chalmers Researchers Make Bosonic Quantum Operations More Than 1,000 Times Faster](https://daily.dev/posts/chalmers-researchers-make-bosonic-quantum-operations-more-than-1-000-times-faster-r3bvnlapg) · The Quantum Insider · 0 upvotes · 0 comments - [Supercomputer simulates quantum chip in unprecedented detail](https://daily.dev/posts/supercomputer-simulates-quantum-chip-in-unprecedented-detail-b8cstlby8) · Phys.org · 1 upvotes · 0 comments --- Tags: [#quantum-computing](https://daily.dev/tags/quantum-computing), [#ibm](https://daily.dev/tags/ibm) [View this post on daily.dev](https://daily.dev/posts/new-quantum-algorithm-targets-bottleneck-in-fluid-flow-modeling-smha9qph9) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"New Quantum Algorithm Targets Bottleneck in Fluid-Flow Modeling","url":"https://daily.dev/posts/new-quantum-algorithm-targets-bottleneck-in-fluid-flow-modeling-smha9qph9","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/new-quantum-algorithm-targets-bottleneck-in-fluid-flow-modeling-smha9qph9"},"datePublished":"2026-09-30T09:10:04.897Z","dateModified":"2026-09-30T09:10:26.508Z","description":"Oak Ridge National Laboratory researchers developed a quantum algorithm called LuGo that dramatically reduces the quantum gate count needed for fluid-flow...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/f0431aa8111d7b5f27602a1d85999024?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/f0431aa8111d7b5f27602a1d85999024?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"The Quantum Insider","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"The Quantum Insider","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/7b14a6b34c1b464c9e8a88d9a0dac951","url":"https://daily.dev/sources/thequantuminsider"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/new-quantum-algorithm-targets-bottleneck-in-fluid-flow-modeling-smha9qph9","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"quantum-computing,ibm","timeRequired":"PT6M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"The Quantum Insider","item":"https://daily.dev/sources/thequantuminsider"},{"@type":"ListItem","position":3,"name":"New Quantum Algorithm Targets Bottleneck in Fluid-Flow Modeling"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/new-quantum-algorithm-targets-bottleneck-in-fluid-flow-modeling-smha9qph9#faq","mainEntity":[{"@type":"Question","name":"What is the LuGo quantum algorithm and how does it improve fluid-flow modeling simulations?","acceptedAnswer":{"@type":"Answer","text":"LuGo is a quantum phase estimation algorithm developed by Oak Ridge National Laboratory researchers that reduces the number of quantum gates needed to solve fluid-flow problems. It performs more preprocessing on classical computers before encoding data into quantum circuits, cutting gate requirements from 2 million to 91,000, a reduction of more than 95%, while extending the HHL algorithm's capability to finer detail. Developers tracking quantum computing breakthroughs can follow research like this through daily.dev."}},{"@type":"Question","name":"Why do quantum algorithms for fluid dynamics require so many quantum gates?","acceptedAnswer":{"@type":"Answer","text":"Converting fluid-flow equations into quantum form through quantum phase estimation consumed more than 90 percent of computational effort in prior approaches, requiring around 2 million logic gates. More gates increase the potential for error and noise since qubits are volatile and degrade quickly, making gate reduction critical for practical quantum simulations of problems like the Hele-Shaw flow equation. Engineers exploring quantum computing trade-offs can keep up with such research via daily.dev."}}]} ```