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Princeton puts quantum computing on the fast track with new qubit - Technology Org

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⚡ Quantum Brief
Princeton engineers developed a superconducting qubit with a 1-millisecond coherence time—three times longer than current lab records and 15 times the industry standard, addressing quantum computing’s biggest hurdle: short-lived qubits. The breakthrough combines tantalum metal and high-purity silicon, replacing traditional sapphire substrates, drastically reducing energy loss from material defects. This design integrates seamlessly with existing processors from Google and IBM. Testing on a functional quantum chip confirmed the qubit’s performance, enabling 1,000x better operations in systems like Google’s Willow processor. Scalability benefits grow exponentially with more qubits, accelerating error correction. Funded by the U.S. Department of Energy, the research marks the largest coherence-time advance in over a decade, shifting quantum computing from theoretical potential to near-term practicality by decade’s end. Industry adoption is imminent, as the silicon-based design aligns with standard manufacturing, offering a clear path to mass production and scalable quantum systems.
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In a major step toward practical quantum computers, Princeton engineers have built a superconducting qubit that lasts three times longer than today’s best versions. Image credit: Princeton UniversityImage credit: Princeton University “The real challenge, the thing that stops us from having useful quantum computers today, is that you build a qubit and the information just doesn’t last very long,” said Andrew Houck, leader of a federally funded national quantum research center, Princeton’s dean of engineering and co-principal investigator on the paper. “This is the next big jump forward.” In a Nov. 5 article in the journal Nature, the Princeton team reported their new qubit lasts for over 1 millisecond. This is three times longer than the best ever reported in a lab setting, and nearly 15 times longer than the industry standard for large-scale processors. The researchers built a fully functioning quantum chip based on this qubit to validate its performance, clearing one of the key obstacles to efficient error correction and scalability for industrial systems. The new qubit design is similar to those already used by leading companies like Google and IBM, and could easily be slotted into existing processors, according to the researchers. Swapping Princeton’s components into Google’s best quantum processor, called Willow, would enable it to work 1,000 times better, Houck said. The benefits of the Princeton qubit grow exponentially as system size grows, so adding more qubits would bring even greater benefit. Better hardware is essential to advancing quantum computers Quantum computers have shown the potential to solve problems that cannot be addressed with conventional computers. But current versions are still in early stages of development and remain limited. This is mainly because the basic component in quantum computers, the qubit, fails before systems can run useful calculations. Extending the qubit’s lifetime, called coherence time, is essential for enabling quantum computers to perform complex operations. The Princeton qubit marks the largest single advance in coherence time in more than a decade. “This advance brings quantum computing out of the realm of merely possible and into the realm of practical,” Houck said. “Now we can begin to make progress much more quickly. It’s very possible that by the end of the decade we will see a scientifically relevant quantum computer.” While engineers are pursuing a range of technologies to develop qubits, the Princeton version relies on a type of circuit called a transmon qubit. Transmon qubits, used in efforts by companies including Google and IBM, are superconducting circuits that run at extremely low temperatures. Their advantages include a relatively high tolerance for outside interference and compatibility with current electronics manufacturing. But the coherence time of transmon qubits has proven extremely hard to extend. Recent work from Google showed that the major limitation faced in improving their latest processor comes down to the material quality of the qubits. The Princeton team took a two-pronged approach to redesigning the qubit. First, they used a metal called tantalum to help the fragile circuits preserve energy. Second, they replaced the traditional sapphire substrate with high-quality silicon, the standard material of the computing industry. To grow tantalum directly on silicon, the team had to overcome a number of technical challenges related to the materials’ intrinsic properties. But ultimately they prevailed, unlocking the deep potential of this combination. Nathalie de Leon, the co-director of Princeton’s Quantum Initiative and co-principal investigator of the new qubit, said that not only does their tantalum-silicon chip outperform existing designs, but it’s also easier to mass-produce. “Our results are really pushing the state of the art,” she said. Michel Devoret, chief scientist for hardware at Google Quantum AI, which partially funded the research, said that the challenge of extending the lifetimes of quantum computing circuits had become a “graveyard” of ideas for many physicists. “Nathalie really had the guts to pursue this strategy and make it work,” said Devoret, a recipient of the 2025 Nobel Prize in physics. The research was primarily funded by the U.S. Department of Energy National Quantum Information Science Research Centers and the Co-design Center for Quantum Advantage (C2QA) — a center that Houck directed from 2021 to 2025, and where he is now chief scientist. The paper’s co-lead authors are postdoctoral researcher Faranak Bahrami and graduate student Matthew P. Bland. Using tantalum makes quantum chips more robust Houck, the Anthony H.P. Lee ’79 P11 P14 Professor of Electrical and Computer Engineering, said a quantum computer’s power hinges on two factors. The first is the total number of qubits that are strung together. The second is how many operations each qubit can perform before errors take over. By improving the quality of individual qubits, the new paper advances both. Specifically, a longer-lasting qubit helps resolve the industry’s greatest obstacles: scaling and error correction. The most common source of error in these qubits is energy loss. Tiny, hidden surface defects in the metal can trap and absorb energy as it moves through the circuit. This causes the qubit to rapidly lose energy during a calculation, introducing errors that multiply as more qubits are added to a chip. Tantalum typically has fewer of these defects than more commonly used metals like aluminum. Fewer errors also make it easier for engineers to correct those that do occur. Houck and de Leon, who is an associate professor of electrical and computer engineering, first introduced the use of tantalum for superconducting chips in 2021 in collaboration with Princeton chemist Robert Cava, the Russell Wellman Moore Professor of Chemistry. Despite having no background in quantum computing, Cava, an expert on superconducting materials, had been inspired by a talk de Leon had delivered a few years earlier, and the two struck up an ongoing conversation about qubit materials. Eventually, Cava pointed out that tantalum could provide more benefits and fewer downsides. “Then she went and did it,” Cava said, referring to de Leon and the broader team. “That’s the amazing part.” Researchers from all three labs followed Cava’s intuition and built a superconducting tantalum circuit on a sapphire substrate. The design demonstrated a significant boost in coherence time, in line with the world record. Tantalum’s main advantage is that it’s exceptionally robust and can survive the harsh cleaning needed for removing contamination from the fabrication process. “You can put tantalum in acid, and still the properties don’t change,” said Bahrami, co-lead author on the new paper. Once the contaminants were removed, the team then came up with a way to measure the next sources of energy loss. Most of the remaining loss came from the sapphire substrate. They replaced the sapphire with silicon, a material that is widely available with extremely high purity. Combining these two materials while refining manufacturing and measurement techniques has led to one of the largest single improvements in the transmon’s history. Houck called the work “a major breakthrough on the path to enabling useful quantum computing.” Because the improvements scale exponentially with system size, Houck said that swapping the current industry best for Princeton’s design would enable a hypothetical 1,000-qubit computer to work roughly 1 billion times better. Using silicon primes the new chips for industrial scaling The work brings together deep expertise in quantum device design and materials science. Houck’s group specializes in building and optimizing superconducting circuits; de Leon’s lab focuses on quantum metrology and the materials and fabrication processes that underpin qubit performance; and Cava’s research team has spent three decades at the forefront of superconducting materials. Combining their expertise has yielded results that couldn’t have been accomplished alone. These results have now attracted industry attention. Devoret, the Google scientist, who is also a professor of physics at the University of California, Santa Barbara, said that partnerships between universities and industry are important for advancing the frontiers of technology. “There is a rather harmonious relationship between industry and academic research,” he said. University labs are well positioned to focus on the fundamental aspects that limit the performance of a quantum computer, while industry scales up those advances into large-scale systems. “We’ve shown that it’s possible in silicon,” said de Leon. “The fact that we’ve shown what the critical steps are, and the important underlying characteristics that will enable these kinds of coherence times, now makes it pretty easy for anyone who’s working on scaled processors to adopt.” Written by Alaina O’Regan Source: Princeton University Related links: * Indicates required fields Your Name* Your company/organization* Your country* ArubaAfghanistanAngolaAnguillaÅland IslandsAlbaniaAndorraUnited Arab EmiratesArgentinaArmeniaAmerican SamoaAntarcticaFrench Southern TerritoriesAntigua and BarbudaAustraliaAustriaAzerbaijanBurundiBelgiumBeninBonaire, Sint Eustatius and SabaBurkina FasoBangladeshBulgariaBahrainBahamasBosnia and HerzegovinaSaint BarthélemyBelarusBelizeBermudaBolivia, Plurinational State ofBrazilBarbadosBrunei DarussalamBhutanBouvet IslandBotswanaCentral African RepublicCanadaCocos (Keeling) IslandsSwitzerlandChileChinaCôte d'IvoireCameroonCongo, Democratic Republic of theCongoCook IslandsColombiaComorosCabo VerdeCosta RicaCubaCuraçaoChristmas IslandCayman IslandsCyprusCzechiaGermanyDjiboutiDominicaDenmarkDominican RepublicAlgeriaEcuadorEgyptEritreaWestern SaharaSpainEstoniaEthiopiaFinlandFijiFalkland Islands (Malvinas)FranceFaroe IslandsMicronesia, Federated States ofGabonUnited Kingdom of Great Britain and Northern IrelandGeorgiaGuernseyGhanaGibraltarGuineaGuadeloupeGambiaGuinea-BissauEquatorial GuineaGreeceGrenadaGreenlandGuatemalaFrench GuianaGuamGuyanaHong KongHeard Island and McDonald IslandsHondurasCroatiaHaitiHungaryIndonesiaIsle of ManIndiaBritish Indian Ocean TerritoryIrelandIran, Islamic Republic ofIraqIcelandIsraelItalyJamaicaJerseyJordanJapanKazakhstanKenyaKyrgyzstanCambodiaKiribatiSaint Kitts and NevisKorea, Republic ofKuwaitLao People's Democratic RepublicLebanonLiberiaLibyaSaint LuciaLiechtensteinSri LankaLesothoLithuaniaLuxembourgLatviaMacaoSaint Martin (French part)MoroccoMonacoMoldova, Republic ofMadagascarMaldivesMexicoMarshall IslandsNorth MacedoniaMaliMaltaMyanmarMontenegroMongoliaNorthern Mariana IslandsMozambiqueMauritaniaMontserratMartiniqueMauritiusMalawiMalaysiaMayotteNamibiaNew CaledoniaNigerNorfolk IslandNigeriaNicaraguaNiueNetherlands, Kingdom of theNorwayNepalNauruNew ZealandOmanPakistanPanamaPitcairnPeruPhilippinesPalauPapua New GuineaPolandPuerto RicoKorea, Democratic People's Republic ofPortugalParaguayPalestine, State ofFrench PolynesiaQatarRéunionRomaniaRussian FederationRwandaSaudi ArabiaSudanSenegalSingaporeSouth Georgia and the South Sandwich IslandsSaint Helena, Ascension and Tristan da CunhaSvalbard and Jan MayenSolomon IslandsSierra LeoneEl SalvadorSan MarinoSomaliaSaint Pierre and MiquelonSerbiaSouth SudanSao Tome and PrincipeSurinameSlovakiaSloveniaSwedenEswatiniSint Maarten (Dutch part)SeychellesSyrian Arab RepublicTurks and Caicos IslandsChadTogoThailandTajikistanTokelauTurkmenistanTimor-LesteTongaTrinidad and TobagoTunisiaTürkiyeTuvaluTaiwan, Province of ChinaTanzania, United Republic ofUgandaUkraineUnited States Minor Outlying IslandsUruguayUnited States of AmericaUzbekistanHoly SeeSaint Vincent and the GrenadinesVenezuela, Bolivarian Republic ofVirgin Islands, BritishVirgin Islands, U.S.Viet NamVanuatuWallis and FutunaSamoaYemenSouth AfricaZambiaZimbabwe Your contact email* Link URL to a page you want to share* Annotation for the link* (80-400 characters) Additional comments (optional) I agree* to the submission terms and conditions. This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply. You can offer your link to a page which is relevant to the topic of this post. Directional Sound Installation for a Phonic Contemporary OperaFeatured Post loader Subscribe for a periodic newsletter with spotlight news Related posts: Quantum computing: Opening new realms of possibilitiesJanuary 23, 2020 Better together: Silicon qubits plus light add up to new quantum computing capabilityFebruary 23, 2018 Quantum researchers at ORNL are investigating whether trapped ions can be used to encode qubits for quantum networking. 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