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IonQ Sees Fault-Tolerant Quantum Within Reach in 2 Years - MeriTalk
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IonQ Sees Fault-Tolerant Quantum Within Reach in 2 Years - MeriTalk

Details By: Grace Dille Sep 24, 2026 3:32 pm IonQ Sees Fault-Tolerant Quantum Within Reach in 2 Years IonQ CEO Niccolo de Masi said advances in error correction could make fault-tolerant quantum systems affordable for governments and thousands of businesses within two years. IonQ, a quantum computing hardware and software company, expects advances in quantum computing over the next two years to put fault-tolerant systems within reach of governments and thousands of businesses, CEO Niccolo de Masi said on Sept 24. Speaking at the Quantum World Congress in College Park, Md., de Masi pointed to advances across IonQ’s computing, networking, sensing, and security portfolio as the company works to accelerate its roadmap and expand the use of quantum technologies beyond research settings. “With this kind of progress, in just the next year or two, full fault tolerance will be affordable within grasp of enterprises not just in the Fortune 500, but Fortune 5000, and for state and local government of all sizes, both here in the Five Eyes and across our broader allied community,” de Masi said. Fault tolerance is a key hurdle to building practical quantum computers because quantum bits, or qubits, are highly susceptible to errors. IonQ announced earlier this week that it demonstrated an end-to-end real-time quantum error correction decoder, which the company said removes a major bottleneck in fault-tolerant quantum computing. De Masi also highlighted IonQ’s work with the federal government on precision timing and navigation. He said IonQ is working toward GPS capabilities that are 1,000 times more accurate for the United States and its allies using technologies that include atomic clocks, quantum computing, and satellite capabilities. “This is a mission that we work with DARPA on,” de Masi said, adding that precision timing and navigation are increasingly important to national security and infrastructure resilience. IonQ received a $28 million contract extension from DARPA in Au

Sep 24, 2026

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IonQ Cleared One of Quantum Computing's Biggest Hurdles. Should You Buy the Stock? - The Motley Fool
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IonQ Cleared One of Quantum Computing's Biggest Hurdles. Should You Buy the Stock? - The Motley Fool

IonQ (IONQ +4.42%) has taken investors on a roller coaster ride in 2026. The quantum computing stock has seen multiple 20% swings in both directions. And the thrills are intensifying.On Tuesday, Sept. 22, 2026, IonQ announced that it had cleared one of quantum computing's biggest hurdles by demonstrating the first end-to-end real-time quantum error correction decoder. Shares of the quantum computing pioneer soared in after-hours trading on the news, but gave up some of the gains shortly after the market opened on Wednesday. Is IonQ now a smart pick? Image source: The Motley Fool. Breaking down IonQ's breakthrough Quantum computers offer tremendous potential. However, the systems are prone to errors because physical qubits (the basic unit of information in quantum systems) are highly sensitive to environmental noise. Quantum error correction is critical to make the technology useful in practical applications.Companies, including IonQ, have attempted to solve this problem by deploying classical computers to decode the quantum errors. Unfortunately, these classical computers often become overwhelmed. The quantum computers then have to wait for the quantum error correction process to catch up. Such bottlenecks can significantly reduce quantum computers' processing speeds.IonQ developed a dual-decoder architecture that runs on a single CPU. The company stated in a press release, "Under standard operational noise, IonQ's decoder introduced as little as 0.02% 'stretch' time. That means the decoding overhead added virtually no delay to the overall quantum computation."In a nutshell, IonQ appears to have solved one of the most serious issues holding back the development of a large-scale commercial quantum computer. If you think that's a major breakthrough, you're right.ExpandNYSE: IONQIonQPremium FeatureMoneyball Superscore63/100Today's Change(4.42%) $1.80Current Price$42.54Key Data Points*:nth-last-child(-n+2)]:border-b-0">Market Cap$17BMarket cap calculated using publicly

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Bosonic Error Correction with Fluxonium
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Bosonic Error Correction with Fluxonium

--> Quantum Physics arXiv:2609.26880 (quant-ph) [Submitted on 22 Sep 2026] Title:Bosonic Error Correction with Fluxonium Authors:Shantanu R. Jha, Shoumik D. Chowdhury, Gabriele Rolleri, Anaida Ali, Lev-Arcady Sellem, Réouven Assouly, David Pahl, Lukas Pahl, Junyoung An, Farid Hassani, Hung-Yu Tsao, Chia-Chin Tsai, Aranya Goswami, Jeremie Boudreault, Jeffrey M. Gertler, Michael A. Gingras, Bethany M. Niedzielski, Jeffrey M. Knecht, Mollie E. Schwartz, Kyle Serniak, Jeffrey A. Grover, Baptiste Royer, Max Hays, William D. Oliver View a PDF of the paper titled Bosonic Error Correction with Fluxonium, by Shantanu R. Jha and 23 other authors View PDF HTML (experimental) Abstract:Bosonic quantum error correction (QEC) offers a hardware-efficient route to fault-tolerant quantum computing. To date, however, superconducting circuit implementations of bosonic codes have utilized centimeter-scale 3D microwave cavities controlled by fixed-frequency transmon qubits, with logical lifetimes limited by transmon bit-flip errors. Here, we realize bosonic QEC in a fully planar architecture by pairing a heavy fluxonium, whose $451 \pm 70~\mu\mathrm{s}$ bit-flip lifetime exceeds that of any control qubit in previous demonstrations, with an on-chip Archimedean spiral resonator several orders of magnitude smaller in mode volume than prior 3D cavities. We prepare finite-energy Gottesman-Kitaev-Preskill (GKP) states and stabilize them using measurement-free error correction with rapid fluxonium reset, extending the logical lifetime by a factor of $1.59 \pm 0.05$. These results provide the first demonstration of resonator control using a weakly coupled fluxonium and, with it, the first realization of standalone bosonic QEC in a fully planar superconducting circuit architecture. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2609.26880 [quant-ph]   (or arXiv:2609.26880v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2609.26880 Focus to learn more arXiv-

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IonQ Selected as First On-Premise QPU Deployment at NVIDIA’s Accelerated Quantum Research Center
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IonQ Selected as First On-Premise QPU Deployment at NVIDIA’s Accelerated Quantum Research Center

IonQ Selected as First On-Premise QPU Deployment at NVIDIA’s Accelerated Quantum Research Center Trapped-ion quantum hardware developer IonQ (NYSE: IONQ) has announced that its sixth-generation Superion 256 quantum processing unit (QPU) will serve as the first on-premise quantum computer installed at the NVIDIA Accelerated Quantum Research Center (NVAQC). Scheduled for installation in 2027 alongside first commercial deliveries, the deployment establishes a direct hardware interconnect between IonQ’s 256-qubit system and an NVIDIA GB200 NVL72 accelerated computing rack via NVIDIA NVQLink. Hybrid quantum-classical workloads across the unified system will be orchestrated by the open-source NVIDIA CUDA-Q software platform. The joint research initiative at NVAQC focuses on co-designing tightly integrated quantum-GPU architectures and building open-source hybrid software frameworks. The deployment targets high-impact applications across portfolio optimization and financial risk modeling, data center materials science, and computational chemistry for drug discovery. The announcement follows recent joint research published by IonQ, NVIDIA, Oak Ridge National Laboratory, and the University of Tennessee at IEEE Quantum Week 2026, which demonstrated generative AI coupled with distributed quantum algorithms on CUDA-Q. [ IonQ Superion 256 & NVIDIA NVAQC Hardware Integration ]System LayerHardware & Fabric SpecificationsOperational FunctionalityQuantum Subsystem• IonQ Superion 256 QPU• On-chip Electronic Qubit Control (EQC)• Fabricated via SkyWater CMOS Foundry• 256 Physical Trapped-Ion Qubits• Standard Server-Rack Footprint• Low Power Consumption vs. GPU RacksClassical AI Subsystem• NVIDIA GB200 NVL72 Rack• Liquid-cooled Blackwell Superchip Cluster• Accelerates Classical Subroutines• High-Speed Neural Network Training• Real-time Quantum Error Correction DecodingInterconnect & Stack• NVIDIA NVQLink Physical Interconnect• NVIDIA CUDA-Q Platform Orchestration• Sub-micros

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Stock Market Today, Sept. 23: IonQ Surges on Quantum Breakthrough and Nvidia Partnership
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Stock Market Today, Sept. 23: IonQ Surges on Quantum Breakthrough and Nvidia Partnership

ExpandNYSE: IONQIonQPremium FeatureMoneyball Superscore63/100Today's Change(4.42%) $1.80Current Price$42.54Key Data Points*:nth-last-child(-n+2)]:border-b-0">Market Cap$17BMarket cap calculated using publicly traded shares outstanding only. Does not include unlisted, private, or dual-class non-traded shares. Implied market cap may vary.Day's Range$41.63 - $46.0552wk Range$25.89 - $84.64Volume72.3MAvg Vol20.3MGross Margin-3317.96%IonQ (IONQ +4.42%), a full-stack trapped-ion quantum computing provider, closed at $42.54, up 4.42%. It rose after a real-time error-correction breakthrough and a research-center collaboration with Nvidia (NVDA -1.47%). Trading volume reached 69.9 million shares, coming in about 233% above its three-month average of 21.0 million shares. IonQ IPO'd in 2021 and has grown 294% since going public.How the markets moved todayThe S&P 500 (^GSPC -0.75%) fell 0.75% to 7,706, and the Nasdaq Composite (^IXIC -1.13%) fell 1.13% to 26,936. Among quantum computing hardware, software, and cloud-access services peers, Rigetti Computing (RGTI -3.12%) closed at $16.00, down 3.12%, and D-Wave Quantum (QBTS -4.27%) closed at $16.81, down 4.27%, as the group tracked IonQ's decoder news.What this means for investorsIonQ defied a tech downturn today on company-specific news, prompting investors to bet that its quantum computing developments signal a leadership position in the space. The company announced a breakthrough in error decoding with what it called "the industry's first end-to-end real-time quantum error correction decoder that runs on a single standard off-the-shelf central processing unit (CPU)."In addition to that news, IonQ announced a potentially important step toward commercializing its quantum systems. Its Superion 256 system will be installed in Nvidia's accelerated quantum research center to run as a niche processing system alongside Nvidia GPU (graphics processing unit) clusters.That could lead to hybrid developments and create large-scale sy

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