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Trapped Ion Quantum Computing News: IonQ & Quantinuum Breakthroughs

Trapped ion quantum computing updates: IonQ Forte, Quantinuum H2, high-fidelity gates. Long coherence times & commercial progress coverage.

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Trapped ion quantum computing utilizes individual atomic ions—typically ytterbium, calcium, or strontium—confined in electromagnetic fields (Paul traps) and manipulated with laser pulses. This approach delivers the highest gate fidelities in the industry, with one-qubit and two-qubit operations exceeding 99.9% accuracy.

IonQ and Quantinuum (the Honeywell-Cambridge Quantum Computing merger) lead commercial trapped-ion development. The technology's inherent all-to-all connectivity—where any qubit can interact with any other without physical movement—enables efficient implementation of complex quantum algorithms that would require extensive SWAP operations on superconducting architectures.

India's Trapped Ion Research

India's quantum computing research includes trapped-ion systems at the Raman Research Institute (RRI) in Bengaluru and IISER Pune. The Centre for Excellence in Quantum Technology (CEQT) at IISc Bengaluru, supported by the Ministry of Electronics and Information Technology (MeitY), includes quantum computing development among its activities, with trapped-ion research as one component. The National Quantum Mission's Quantum Computing Thematic Hub at IISc Bengaluru coordinates research across multiple platforms including trapped-ion systems.

Key Advantages

Key advantages include exceptional coherence times (seconds to minutes, millions of times longer than superconducting qubits), identical qubits eliminating calibration variability, natural connectivity reducing algorithm overhead, and room-temperature operation of control electronics simplifying infrastructure. Current challenges include slower gate speeds (microseconds vs. nanoseconds for superconducting) limiting algorithm execution rates, laser control systems adding engineering complexity, and scaling beyond 50-100 qubits requiring innovative architectures.

Recent Breakthroughs

Recent global breakthroughs include Quantinuum's H2 system demonstrating 56-qubit quantum error correction experiments with logical qubit fidelities surpassing physical qubits, and IonQ's Forte processor introducing acousto-optic deflectors for flexible qubit addressing supporting up to 36 algorithmic qubits. Trapped-ion systems dominate applications requiring high precision—quantum chemistry simulation, financial optimization, and cryptographic analysis—where gate fidelity outweighs speed considerations.

Quanta Computer Will Scale Up Quantinuum’s Quantum Systemsquantum-computing

Quanta Computer Will Scale Up Quantinuum’s Quantum Systems

Quanta Computer, a Fortune Global 500 manufacturer, is partnering with quantum computing company Quantinuum to address the challenges of scaling up quantum systems for commercial use. Joint engineering work is already underway between the companies to design hardware infrastructure focused on making future quantum computers more modular, manufacturable, and scalable. “It is time for quantum computing to transition from breakthroughs in physics achieved in the lab to breakthroughs in system manufacturing that can be deployed and operated at scale,” said Dr. Rajeeb Hazra, President and CEO of Quantinuum. This collaboration aims to establish an industrial foundation for large-scale quantum computing, moving beyond theoretical advancements to practical production. Quantinuum’s QCCD Architecture Drives Scalable System Development Central to plans for scaling quantum systems is Quantinuum’s established QCCD architecture. The company is collaborating with manufacturing giant Quanta Computer, and this partnership prioritizes practical deployment of existing technology rather than focusing solely on qubit development; Quantinuum has already commercially released multiple generations of trapped-ion systems built on this architecture. Quanta Computer’s involvement signals a shift toward industrializing quantum computing beyond startup ventures, leveraging their experience with advanced computing platforms, Quantinuum says. Dr. Hazra stated, “Quanta has earned a global reputation for industrializing some of the most advanced computing technologies in the world.” The collaboration aims to ensure supply chains and engineering expertise develop alongside the quantum technology itself. This isn’t merely a research agreement; the companies are co-developing hardware infrastructure to support future generations of Quantinuum’s quantum systems, creating a pathway to commercially viable, large-scale fault-tolerant quantum computers capable of wider adoption. The focus on manufacturabil

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Podcast with Rob Jesudason, CEO and Founder of Serendipity Capitalquantum-computing

Podcast with Rob Jesudason, CEO and Founder of Serendipity Capital

In this episode, Yuval Boger speaks with Rob Jesudason, CEO and founder of Serendipity Capital, a $1.3 billion permanent capital vehicle investing in quantum computing, communications, and sensing companies including Quantinuum, Monarch Quantum, Delta g, and QuantX. They discuss how investors — both institutional and retail — can evaluate quantum companies across modalities, with Rob arguing that triangulation across experts is essential since, as he puts it, modalities are like religion where everyone believes they’re right. Rob shares his view that the quantum industry is transitioning from lab science to managerial execution and engineering scale, that governments should partner with the private sector rather than being the first check, and that some countries should aim to be the fastest integrators of winning technologies rather than the innovators themselves. Key Takeaways Evaluating quantum companies requires triangulating across many experts because modalities function like religion, with each believer convinced theirs is the correct path. The quantum industry is shifting from lab-driven science to managerial execution and engineering scale, meaning teams now need as much operational talent as physics talent. Governments should avoid being the first investor in quantum companies and instead partner with private capital later, stepping in as validators rather than initial funders. Countries without the scale to build a leading quantum hardware stack, like Australia, Canada, or Singapore, are better off becoming the fastest integrators of winning technologies rather than trying to be the innovators. Transcript Yuval Boger: Hello, Rob. Thank you for joining me today. Rob Jesudason: Hi, nice to meet you, Yuval, and thank you for the opportunity. So who are you and what do you do? My name’s Rob Jesudason. I’m the CEO and founder of Serendipity Capital, and we invest in early-stage companies that enhance and secure critical technologies and infrastructur

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Got $200? 1 Quantum Computing ETF to Buy Right Now.quantum-computing

Got $200? 1 Quantum Computing ETF to Buy Right Now.

If you have $200 and want to point it at something that feels like the future, Defiance Quantum ETF (QTUM +0.36%) is a serious contender instead of a science project. When you buy this ETF, you're buying a basket of companies that are already building, selling, and using the hardware and software that could redefine what "computing power" means over the next couple of decades. ExpandNASDAQ: QTUMDefiance Quantum ETFToday's Change(0.36%) $0.57Current Price$159.25Key Data Points*:nth-last-child(-n+2)]:border-b-0">AUM$5.9BDividend Yield0.74%Expense Ratio0.40%*:nth-last-child(-n+2)]:border-b-0">Top HoldingsARQQ2.06%NET1.59%ESTC1.58% What QTUM owns QTUM tracks the BlueStar Machine Learning and Quantum Computing Index, which sounds abstract until you look at what's inside. The fund holds around 80 to 90 stocks tied to quantum computing and advanced machine learning, with most of the weight in technology names that already ship products and services. You get pure play quantum companies like D-Wave Quantum (QBTS -0.35%), IonQ (IONQ +1.23%), and Rigetti (RGTI -0.05%), which are building different kinds of quantum machines and cloud services, alongside more established names that embed quantum and AI capabilities into chips, data platforms, and security tools. Also, companies in that index generally need to generate at least 50% of their revenue or operating activity from quantum-computing-related products or activities. Owning a single early-stage quantum stock is like betting your $200 on one lab's approach to physics. QTUM lets you spread that bet across multiple hardware and software paths, as well as larger firms that can absorb setbacks and keep funding research. You are buying the ecosystem, not one experiment. ExpandNYSE: IONQIonQToday's Change(1.23%) $0.57Current Price$46.83Key Data Points*:nth-last-child(-n+2)]:border-b-0">Market Cap$18BMarket cap calculated using publicly traded shares outstanding only. Does not include unlisted, private, or dual-class non-traded sh

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Researchers Build Integrated Waveguide for Ion Trapsquantum-computing

Researchers Build Integrated Waveguide for Ion Traps

Until now, delivering light to trapped ions required complex free-space optics that become impractical as the number of qubits increases. Now, the researchers have developed an ion-trap platform on borosilicate glass with an integrated femtosecond-laser-written waveguide for on-chip light delivery. This system achieves low-loss curved waveguides down to a radius of curvature of 6mm, and successfully demonstrated trapping, ion shuttling, and coherent operations using 729nm light guided through the integrated waveguide. Researchers have engineered a new ion trap using glass channels to deliver light to individual, electrically charged atoms, known as ions. This system uses femtosecond-laser-written waveguides, tiny pathways created with a laser, integrated directly into the trap’s structure; this separates the light delivery from the electrical controls. The design allows for curved light paths and is compatible with standard manufacturing processes, offering a potential route to building more complex quantum computing devices. Researchers have created a new platform for quantum computing using electrically charged atoms, or ions, held in place by electric fields, a microscopic holding pen for single atoms. Current systems rely on bulky free-space optics to deliver the light needed to control these ions, a method that becomes increasingly difficult as the number of qubits grows. The team’s innovation integrates light delivery directly into the ion trap using microscopic glass tunnels, created with incredibly short pulses of laser light, that guide light like fibre optics. This approach physically separates the light paths from the electrical controls, enabling curved light delivery and compatibility with existing manufacturing techniques. Reduced waveguide curvature facilitates miniaturised ion trap optical circuits Low-loss curved waveguides now operate at radii down to 6mm, previously limited to 8mm, a key threshold for miniaturising complex optical circuits within

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Oregon Team Cools Ion Crystal to Ground Statequantum-computing

Oregon Team Cools Ion Crystal to Ground State

A new method cools a global motional mode of a mixed metastable-ground state Coulomb crystal to the motional ground state via dissipative operations on the ground qubit without disturbing coherence of the metastable qubit. Sean Brudney of the University of Maryland and colleagues demonstrate that this enables quantum logic spectroscopy to non-destructively read out the state of the metastable qubit using fluorescence detection of the ground qubit. Expanding these demonstrations to larger system sizes should enable the mitigation of motional heating after ion shuttling and syndrome extraction for quantum error correction, both key primitives for future fault-tolerant quantum computers based on trapped ions. Dissipative cooling preserves metastable qubit coherence for improved readout fidelity Error rates for metastable qubit readout dropped to 0.02 ±0.01 in motional quanta, representing a key improvement over previous sympathetic cooling methods. Traditionally, sympathetic cooling relied on co-trapping different ion species, where one species acts as a ‘coolant’ to reduce the motional energy of the other. However, this approach necessitates careful selection of ion species and can introduce complexities in managing the differing mass and charge characteristics. The current research circumvents these limitations by utilising a two-species approach within a single ion species, leveraging the distinct energy levels of the same ion to achieve cooling and readout. This ‘optical-metastable-ground’ (omg) architecture offers a significant advantage in hardware simplification and scalability. The ability to achieve near-ground state cooling without disturbing the metastable qubit’s delicate quantum state is crucial for high-fidelity quantum operations. Maintaining qubit coherence is paramount, as any loss of coherence introduces errors into calculations. Previous methods often compromised coherence during the cooling process, limiting the accuracy of subsequent quantum operat

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The Company Lab Launches CO.LAB Q Commercialization Studio to Scale Quantum Startupsquantum-computing

The Company Lab Launches CO.LAB Q Commercialization Studio to Scale Quantum Startups

The Company Lab Launches CO.LAB Q Commercialization Studio to Scale Quantum Startups Chattanooga-based startup accelerator The Company Lab (CO.LAB) has launched CO.LAB Q, a 12-month quantum commercialization studio designed to translate early-stage quantum research into market-ready companies. Set to begin its inaugural cohort in November 2026, the program offers individualized commercialization pathways, pilot access, and technical infrastructure across quantum computing, networking, cybersecurity, sensing, and control hardware. [ CO.LAB Q Commercialization Studio Architecture ] │ ┌────────────────────────────────────────┼────────────────────────────────────────┐ ▼ ▼ ▼ Founding Technology & Utility Partners Academic & Defense Partners Quantum Infrastructure Access • Quantinuum (Founding Compute Partner). • UTC (Founding Academic Partner). • EPB Quantum Network. • Middle Tennessee Electric (Utility). • Davidson Technologies (Defense). • Oak Ridge National Laboratory (ORNL). • EPB Quantum (Network Partner). • Defense Pilot & SBIR/STTR Pathways. • UTC Quantum Center Facilities. The studio provides customized, milestone-driven support structured around foundational ecosystem partnerships: Quantum Computing & Cloud Access: As Founding Compute Partner, Quantinuum provides participating startups with direct access to its trapped-ion quantum processors, the Nexus cloud platform, the Guppy programming language, and technical simulation tools. Defense & National Security Track: Founding Defense Track Sponsor Davidson Technologies mentors startups on Department of Defense (DoD) mission needs, offering access to its quantum laboratory, cybersecurity frameworks, and pilot pathways through DIU and SBIR/STTR programs. Academic & Facility Integration: Founding Academic Partner University of Tennessee at Chattanooga (UTC) connects startups with quantum faculty, student researchers, and specialized laboratory facilities. Grid & Utility Testing: Founding U

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Quantinuum and Quanta Computer Partner to Industrialize Fault-Tolerant Trapped-Ion Hardware Manufacturingquantum-computing

Quantinuum and Quanta Computer Partner to Industrialize Fault-Tolerant Trapped-Ion Hardware Manufacturing

Quanta Computer and Quantinuum Partner to Industrialize Fault-Tolerant Trapped-Ion Hardware Manufacturing Trapped-ion quantum computing developer Quantinuum (NASDAQ: QNT) and Fortune Global 500 electronics manufacturer Quanta Computer have signed a collaborative development agreement to industrialize the hardware infrastructure, systems engineering, and mass-manufacturing supply chains for future generations of Quantinuum’s quantum computers. The partnership bridges Quantinuum’s trapped-ion Quantum Charge-Coupled Device (QCCD) architecture with Quanta’s global electronics manufacturing and cloud-server infrastructure expertise. Joint engineering teams are actively designing modular, manufacturable hardware subsystems intended to transition quantum hardware from custom-built, laboratory-assembled systems to standardized, mass-producible enterprise IT hardware. [ Quantinuum & Quanta Hardware Industrialization Pipeline ] │ ┌────────────────────────────────────────┴────────────────────────────────────────┐ ▼ ▼ Quantinuum Trapped-Ion Architecture Quanta Global Industrial Infrastructure • QCCD Junction & Barium-Ion Control Roadmaps. • Scalable High-Precision Hardware Assembly. • Sub-System Miniaturization & Modularization. • Enterprise Cloud-Rack Form Factor Standardization. • Commercial Fault-Tolerant QPU Milestones. • Global Electronics Supply Chain Integration. The collaboration focuses on scaling physical hardware assembly to support Quantinuum’s roadmap toward fault-tolerant, megaquop-class systems: Hardware Modularization: Co-engineering standardized, rack-mountable enclosures, environmental packaging, and high-density interface interconnects for trapped-ion systems. Supply Chain Stabilization: Establishing robust, high-volume component procurement pipelines for sub-system electronics, laser/optical assemblies, and RF control hardware. Scalable Production Systems: Transitioning from low-volume custom assembly to automated manufacturing lines capable of d

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IonQ Paid $1.8 Billion for a Chip Foundry. Here's What Investors Should Know.quantum-computing

IonQ Paid $1.8 Billion for a Chip Foundry. Here's What Investors Should Know.

IonQ (IONQ +2.85%) completed its acquisition of SkyWater Technology at the end of July, handing over about $741 million in cash and roughly 24 million newly issued shares -- total consideration of about $1.8 billion. Against IonQ's market value of about $17.4 billion, that's roughly a tenth of the company spent on a single purchase. And what it bought isn't a quantum computing company. SkyWater is a semiconductor foundry (a contract chip manufacturer) with plants in Minnesota, Florida, and Texas, and it produced about $442 million of revenue in 2025. That's nearly double the roughly $246 million IonQ itself generated over the past 12 months. The buyer, measured by sales, is the smaller business. Why would a quantum computing company need to own a chip factory? Image source: The Motley Fool. The deal math Under the terms of the deal, first announced in January and cleared by regulators in late July, SkyWater shareholders received $15.00 in cash plus 0.4883 IonQ shares for each of their shares. The roughly 24 million new IonQ shares amount to about 6% of the company's share count -- meaningful dilution, though to me not reckless for a purchase this central to the company's plans. And the cash side was easy to cover, though the full bill ran past the headline number -- about $1.1 billion in all, counting roughly $315 million to retire SkyWater debt and pay deal costs. IonQ ended June with $3.0 billion of cash and investments, and it says about $2.0 billion remained after accounting for the acquisition. The deal's currency matters as much as its size. IonQ paid mostly with stock that trades at a steep premium to any conventional measure of its business today. Using expensive shares to buy hard assets is arguably the most rational use of a richly valued stock, and that's essentially what happened here. What SkyWater actually makes SkyWater is a U.S.-based foundry that manufactures chips on mature, specialized processes rather than cutting-edge smartphone silicon. Its bus

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Quantinuum to Partner with the Singapore Institute of Technology to Help Develop Singapore’s Future Quantum Workforce.quantum-computing

Quantinuum to Partner with the Singapore Institute of Technology to Help Develop Singapore’s Future Quantum Workforce.

Quantinuum to Partner with the Singapore Institute of Technology to Help Develop Singapore’s Future Quantum Workforce. Quantinuum has signed a Memorandum of Understanding (MoU) with the Singapore Institute of Technology (SIT) to train and expand Singapore’s quantum workforce. Building on Quantinuum’s existing R&D footprint and the planned deployment of its Helios quantum processor in Singapore, the collaboration aims to prepare an industry-ready workforce across engineering, systems development, and applied technologies. Key Initiatives of the Partnership Practical Curriculum: Joint development of hands-on training modules tailored for both undergraduate students and working professionals. Tool Access: Direct access to Quantinuum’s suite of quantum software, development tools, and simulators for educational use. Community Engagement: Hosting regular workshops, seminars, and campus events to build local interest and technical literacy in quantum computing. This strategic alignment addresses the growing commercial demand for skilled talent, ensuring local developers and engineers gain direct exposure to state-of-the-art quantum hardware and software environments. Additional information can be found in a LinkedIn post here. August 15, 2026 dougfinke2026-08-15T20:43:39-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.

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Quantum Zeitgeist Weekly Digestquantum-computing

Quantum Zeitgeist Weekly Digest

Welcome to this week’s quantum technology digest. The articles below cover advances across the quantum computing stack, from hardware development and error correction to algorithmic improvements and commercial growth. Several companies reported significant progress this week, indicating continued momentum in the field. This week’s updates demonstrate a clear focus on scaling and refinement. Quantinuum features prominently with announcements regarding both hardware manufacturing partnerships and algorithmic efficiency gains. Other companies, including IonQ and Pasqal, are pushing boundaries in error correction and qubit control. Funding news from D-Wave and Infleqtion’s strong revenue growth further illustrate increasing investment and market demand. Overall, this week highlights practical steps toward building more capable and accessible quantum systems. Progress isn’t limited to a single approach; diverse modalities – superconducting, trapped ion, and neutral atom – all saw encouraging developments. The increasing availability of quantum resources on cloud platforms like Oracle also suggests a move toward wider accessibility for researchers and developers. 1. Quanta Computer & Quantinuum Partner to Scale Quantum Computing Hardware Quantinuum and Quanta Computer are collaborating to manufacture infrastructure for large-scale quantum computers. The partnership combines Quantinuum’s quantum technology with Quanta’s manufacturing expertise, shifting focus from research toward deployable systems. This co-development effort aims to improve the modularity and scalability of quantum processors, supporting Quantinuum’s roadmap for fault-tolerant quantum systems. Quanta’s experience in industrializing advanced computing will establish supply chains and manufacturing processes needed for wider quantum access. Read more 2. IBM’s QOBLIB Library Demonstrates Quantum Advantage in Optimization IBM and its partners announced demonstrations of quantum advantage in optimization t

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‘Great quantum migration’ is coming: over $2 trillion in digital assets is at risk in coming years - Fortunequantum-computing

‘Great quantum migration’ is coming: over $2 trillion in digital assets is at risk in coming years - Fortune

Watch out crypto-bros—it might be time to start moving assets. Researchers are making progress toward quantum computers powerful enough to undermine the mathematical assumptions that currently protect cryptocurrency and other blockchain-based assets.Recommended Video Because of this, the industry needs to replace its cryptographic infrastructure before the quantum computers arrive. “The great quantum migration is going to require the entire digital asset industry to participate,” Christopher Smith, co-founder and CEO of Quantus, a quantum-secure blockchain network..contents]:contents flex items-center"> Quantum computing is a fundamentally different approach to processing information. Traditional computers use bits represented as either 0 or 1, and are physically constrained by how tiny transistors can be miniaturized. Quantum computers use subatomic particles and trapped ions to crunch numbers via qubits—allowing the machines to theoretically perform any calculation in a fraction of the time it would take today’s technology. Until recently, the cryptography that proves ownership of digital assets was considered essentially unbreakable. That’s because today’s classical computers would take too long to feasibly perform the calculations needed for gaining access to a so-called private key that authorizes transactions. According to reports, a standard supercomputer would take hundreds of millions of years to break a cryptography code. But a sufficiently powerful quantum computer can change that, Smith warned. “Over $2 trillion in digital assets is secured by elliptic curve cryptography, which has been known to be quantum-vulnerable for over 30 years,” he said. That’s nearly the entire overall crypto market, which is worth $2.16 trillion.   The threat from quantum computing may be getting closer, and Smith pointed out that AI is being used to accelerate quantum research..contents]:contents flex items-center"> Google researchers have estimated that the computat

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CrowdStrike vs. IonQ: Which Technology Stock Is a Better Buy in 2026?quantum-computing

CrowdStrike vs. IonQ: Which Technology Stock Is a Better Buy in 2026?

Is the future of technology found in securing the cloud or in the processing power of quantum computing? CrowdStrike (CRWD -3.80%) and IonQ (IONQ +2.85%) represent two distinct paths for growth-oriented investors.CrowdStrike dominates the cloud security landscape with its artificial intelligence-driven platform, while IonQ is a pioneer in the developing world of quantum hardware. They are frequently compared because both rely on advanced computing to maintain a competitive edge in their respective industries. Choosing between them requires balancing a market leader against a high-potential start-up.CollapseCRWD & IONQ: Performance ComparisonKey Financial MetricsCRWD – CrowdStrike$216.95–3.80% (-$8.58)IONQ – IonQ$46.26+2.85% (+$1.28)Market Cap$230B52wk Range$85.68 - $227.50Gross Margin74.89%P/E Ratio-4788.32EPS (TTM)$-0.05Market Cap$18B52wk Range$25.89 - $84.64Gross Margin-3317.96%P/E Ratio-9.89EPS (TTM)$-4.55CRWD – CrowdStrike$216.95–3.80% (-$8.58)Market Cap$230B52wk Range$85.68 - $227.50Gross Margin74.89%P/E Ratio-4788.32EPS (TTM)$-0.05IONQ – IonQ$46.26+2.85% (+$1.28)Market Cap$18B52wk Range$25.89 - $84.64Gross Margin-3317.96%P/E Ratio-9.89EPS (TTM)$-4.55The case for CrowdStrikeCrowdStrike provides cloud-native cybersecurity through its Falcon platform to more than 88,000 organizations. Its business model centers on endpoint protection and identity security for enterprise and government clients. As a prominent name among tech stocks, the company aims to replace traditional security software with its comprehensive cloud-based platform.In the fiscal year ended Jan. 31, 2026, revenue reached nearly $4.8 billion. This represents a 21.7% increase compared with the prior fiscal year. Despite this growth, the company reported a net loss of approximately $162.5 million, reflecting a net margin of negative 3.4%.As of its January 2026 balance sheet, the debt-to-equity ratio was 0.2x, representing the amount of debt used relative to shareholder equity. The current ratio w

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Quantinuum: Now Is Not The Right Time To Buyquantum-computing

Quantinuum: Now Is Not The Right Time To Buy

Tangerine Tan Capital3.61K FollowersFollowSummaryQuantinuum Inc. receives a 'sell' rating due to extreme valuation despite being a high-quality quantum computing company.QNT's revenue growth is lagging peers, with 2026 guidance of $28–$32 million and significant cash burn estimated at $250 to $300 million annually.The company is well-capitalized post-IPO ($2.1 billion cash), enabling continued R&D for Sol (2027) and Apollo (2029) quantum products.Strategic partnerships and ecosystem development position QNT for long-term potential, but current multiples are unsustainably high relative to future revenue scenarios. NiPlot/iStock via Getty Images The Quantinuum Investment thesis Quantinuum Inc. (QNT) is one of the most promising quantum computing companies and is now a public company. Unfortunately, even good companies can have prices at which they are not attractive investments. And this high price tellsThis article was written byTangerine Tan Capital3.61K FollowersFollowMy primary area of concentration will be on identifying companies of exceptional caliber, with a proven ability to reinvest capital for impressive returns. The ideal scenario is for these companies to demonstrate a long-term capability of capital compounding, with a high enough compound annual growth rate to potentially deliver tenfold returns or even greater.My approach is to maintain a long-term perspective on these companies, as I believe this will generate higher returns compared to the market index, in a rapidly evolving investment landscape where short-term holdings are becoming increasingly prevalent.I primarily adopt a conservative investment strategy, but occasionally I may pursue opportunities with a favorable risk-reward ratio where the potential upside is substantial and downside is limited. These ventures are carefully considered and allocated a proportional amount within my portfolio to maintain overall stability.Bachelor's degree in finance and accounting All ideas and articles are

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Rice University Researchers Engineer Tunable Finite-Temperature Reservoirs in Trapped-Ion Quantum Simulatorsquantum-computing

Rice University Researchers Engineer Tunable Finite-Temperature Reservoirs in Trapped-Ion Quantum Simulators

Rice University Researchers Engineer Tunable Finite-Temperature Reservoirs in Trapped-Ion Quantum Simulators Physicists at Rice University have developed an experimental reservoir-engineering scheme that introduces independently tunable temperatures and dissipation rates to the vibrational modes of a trapped-ion quantum simulator. Published in Physical Review Letters (“Experimental Realization of Thermal Reservoirs with Tunable Temperature in a Trapped-Ion Spin-Boson Simulator“), the technique enables open-system quantum simulations of chemical reactions, charge transfer, and molecular exciton dynamics under realistic thermodynamic conditions. [ Rice University Engineered Thermal Reservoir Architecture ] │ ┌────────────────────────────────────────┴────────────────────────────────────────┐ ▼ ▼ Controlled Electric-Field Heating Targeted Laser Cooling • Broadcasts RF Signals with Stochastic Phases. • Removes Phonon Excitations from Selected Modes. • Delivers Random "Kicks" to Phonon Crystal. • Controls Dissipation & Equilibration Rates. • Induces Motional Heating (Tunable Bath Temp). • Stabilizes Finite-Temperature Steady States. The protocol overcomes a long-standing constraint in trapped-ion quantum simulation: while previous experiments operated either near absolute zero (ground state) or under unconstrained heating (effectively infinite temperature), the Rice framework establishes precise, continuous control across intermediate finite temperatures: Dual-Knob Environmental Control: By balancing a laser-cooling beam (which removes phonon excitations) against broadcast electric-field signals with stochastic phases (which inject random vibrational “kicks”), the researchers independently tune both the dissipation rate (γ) and the thermal bath temperature (T / average phonon occupation ⟨n⟩). Probing Finite-Temperature Charge Transfer: Using a dual-species trapped-ion chain to simulate Linear Vibronic Coupling (LVC) models, the team observed how finite temperatures al

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Quantum Sensing Leverages ML to Track Three-Level System Phasequantum-computing

Quantum Sensing Leverages ML to Track Three-Level System Phase

Researchers affiliated with the Dipartimento di Fisica e Astronomia ”Ettore Majorana”, Università di Catania, Italy have successfully trained a multi-layer perceptron (MLP) to estimate the plaquette phase within a three-level system, demonstrating a new method for extracting information using artificial intelligence. The team utilized STImulated Raman Adiabatic Passage (STIRAP) population transfer efficiencies as the data source for the machine learning model, establishing a direct link between a specific quantum control technique and AI-driven analysis. This plaquette phase profoundly affects system dynamics by breaking coherent population trapping and inducing a non-trivial phase dependence, according to the work. The results highlight how combining coherent control and machine learning enables effective phase identification, potentially opening new perspectives for quantum technologies, specifically quantum sensing applications including synthetic gauge fields. Plaquette Phase Impacts Coherent Population Trapping The subtle interplay of quantum phases can dramatically alter system behavior, and recent work demonstrates this with the identification of a phase in three-level quantum systems that profoundly affects the system dynamics, breaking coherent population trapping. The team’s findings reveal that accurately estimating this plaquette phase is now possible through a combination of established quantum control methods and machine learning. STIRAP is a well-established technique for efficiently moving quantum populations between states, but the presence of the plaquette phase introduces complexities. The researchers discovered that the efficiency of STIRAP is affected by the phase, creating a measurable signature that a machine learning algorithm can interpret. Specifically, a multi-layer perceptron (MLP), a type of machine learning, was successfully trained to estimate the plaquette phase, demonstrating a novel way to extract information from quantum systems us

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Florida State University Launches Florida’s First Graduate Certificate in Quantum Information Science & Technologyquantum-computing

Florida State University Launches Florida’s First Graduate Certificate in Quantum Information Science & Technology

Florida State University Launches Florida’s First Graduate Certificate in Quantum Information Science & Technology Florida State University (FSU) has announced the launch of Florida’s first formal graduate credential in quantum information science and engineering: the Graduate Certificate in Quantum Information Science & Technology (QIST). Administered by the FSU Quantum Initiative, the 14-credit-hour interdisciplinary program is accepting applications through October 1, 2026, for its inaugural Spring 2027 enrollment cohort. The program bridges departments across the FSU College of Arts and Sciences and the FAMU-FSU College of Engineering—including Physics, Chemistry & Biochemistry, Computer Science, Mathematics, Materials Science & Engineering, Electrical & Computer Engineering, and Mechanical & Aerospace Engineering—to train graduate students and industry professionals across quantum materials, low-temperature device packaging, and quantum algorithm design. [ FSU QIST Graduate Certificate Ecosystem ] │ ┌─────────────────────────────────┼─────────────────────────────────┐ ▼ ▼ ▼ Core Academic Curriculum Specialized Research Facilities Industry & Center Networks • Mandatory Quantum Computing. • National MagLab (High Fields). • Commercial Partnerships (IonQ). • 3 Advanced Technical Electives. • Interdisciplinary Research Bldg. • Hardware Integration (Qblox, Keysight). • QSE Research Seminars. • Cleanroom & Cryogenic Dilution. • Quantum Software Labs (Amazon). Program structure and institutional research assets include: Curriculum Requirements: A 14-credit-hour framework comprising a mandatory core course in Quantum Information and Computing (3 credits), three specialized STEM electives (9 credits), and two semesters of the Quantum Science & Engineering Seminar (2 credits). Research Infrastructure Access: Enrolled students gain direct access to the National High Magnetic Field Laboratory (MagLab) and the newly constructed Interdiscip

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