Subscriber Benefit As a subscriber you can listen to articles at work, in the car, or while you work out. Subscribe Now Please subscribe to IBJ to decode this article. sfoamrneat dd iur te bmengd i toarvi e e gs ece ain ts toh retarhi oecroctonlihgmhaneskln gteuxhuingtibtvlcsaseyo,pguhtdapoieaas kalr dgu yoodh mtrcn tlnr eyhacone cle ipnentoe ct wr. tnehsqdoIacsd aAny epwna dec nf doahnrih e np pEoaA aoihiyelwemdIsiso7Ftdaletyiaruneiss dfumdtniesehtti fl mfslotth yidnmvtooo t tcb ,teror eaene,ynDsaaane tfrprm.dtf feacnetntoi t. minadc huttircecupndugnutus ces t trieiuSawlntnfhia. f f iaIaaUch arecphmOvt atuIdnodf ,a ltf aSroo tomeettiirarceei el drtni yr a0eshhnsralBr ’ h eoat tf ,qed ler reuia ioaiujte incs r ie0ai5/ oo"in > " coepciBstc(ep=t3u iwIc"15l" i0d"de=_/u"3mr_h ogd"u9 =tei"n 1f h waaoier15/g_8l=tncgle0=ithpal"gl_psrsi2 ln uTucgrobod iC eupa .intunecgfsp cusi uamoissmsui i uef onlryteedsuindsss ennaneco cie nm gcr n - gtfii s,reba-thuiflraesqducaa amh taoeoirseesud itesntfeo egncrnytordca pdgia:etsapootoa dhuugnrs-sknih ecotc gtc nisai’ao aCldncisnss evittawnrrt aieldcsyl hqcr,rrln euTneihds e,itttta cyU’ , rehaSetso recia reoa h tIodl ,ethtntraD“asn d . sntl itoa oS” e aryi n xtlohri .len hlfUein nTt t Wsf“timh IoSt.ns.aisitseeaete”r rh tgcvldtio hte .enmt nsieleuthrna uo sc otiggiasedt rniWeehn insh oiee heJs e-ei“d”jii ytuhenTttlshsle s, srgiWwamaotta eadfur .m gano u aciPh snd ituUntoTewehnUgdheuttcpt s aauegtaaTesu dre limr Sss,a eoaze e tcoedst x isaionil eloraanFa vm rio ”lsgmIaieln eer olndottdhnio i rhtr“e en2Uel nfyeey et hrf2goevitnee po .feootnainrtt ,igeoS ishceonn hses dnQedmudthi ini ne edarmcctre aettdtet neurf.cT eemdtaoryee nnqaJ . it no t.t ct rnleuho m aaDxogtrpr nsignbpedngrtihdcneeoutohnaerNscntissor 2g9mow8 gpi ntsr/wpisct/caa=u5"atmnjpu7 >catia0//0/.u8-u= tog"o/l".-e>oiau//tn8hag gtdotnm equ ett i rosisetnia,f etdylatoc thslld,wts.onmg s hmtr e ,uge eoe y terraeyfb eaev tmrtyn etsr cr mhype liiaoti gao nnnotem—Tali hclshtawt rensfaa”hriulfa“ ll yprahsexyiet y eiaoieanneunhrrQtytrttr,tnprydldlaeo l nw s stia cafirsrlgitodica tcou dchtaelunr eaaaeeitimm hiwrdtcifse yyutsil iT ivr h dcfebd uoa ch.sepi n ebapeo cgbe ssl glzeal dsnnagsso esisonthensceehatsn n nga. mdoari
Jul 31, 2026 · via ibj.com
D-Wave Named a Leader in the 2026 IDC MarketScape for Quantum Computing Article Highlights Of the 11 quantum computing vendors IDC evaluated, only two companies were positioned to the Leaders Category, and D-Wave is proud to be one of them. We believe that D-Wave's recognition reflects three important areas of focus: - Proof in production, not just promises: In our opinion, being a leader in quantum computing in 2026 means delivering real value, on real problems, for real customers today. - Breadth across architectures and use cases: D-Wave's dual-platform strategy, combining annealing and gate-model quantum computing, broadens its long-term opportunity to address a wider range of enterprise workloads. - Low barriers to enterprise quantum adoption: Our view is that technology needs to be easy to use for it to deliver value to customers, and our offerings reflect that vision, reducing the infrastructure and expertise barriers that most often slow enterprise quantum adoption. The IDC MarketScape evaluated quantum computing companies based on their current capabilities and future strategies with a vendor assessment model designed to provide an overview of the competitive fitness of technology and service suppliers in a market. The research utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each supplier’s market position. Of the 11 quantum computing vendors IDC evaluated, only two companies were positioned to the Leaders Category, and D-Wave is proud to be one of them. IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of ICT suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each vendor’s position within a given market. The Capabilities score measures vendor product, go-to-market
Jul 31, 2026 · via dwavequantum.com
IQM Quantum Computers Oyj Warrants to purchase American IQMXW Real Time Price USD Recent trades of IQMXW by members of U.S. Congress No Congress Trading data for this ticker Congress Trading Dashboard --- | Name | Type | Shares | Price | Shares Held | Date | Reported | |---|---|---|---|---|---|---| | Investor | Shares | Change in Shares | Market Value | Date | Reported | |---|---|---|---|---|---| | Investor | Type | Shares | Change in Shares | Market Value | Date | Reported | |---|---|---|---|---|---|---| Recently reported changes in IQMXW holdings by institutional investors No Whale Activity for this ticker Institutional Holdings Dashboard Quarterly net insider trading by IQMXW's directors and management No recent Insider Trading for this ticker Insider Trading Dashboard * Insider trading data parsed from SEC Form 4 filings by Quiver Quantitative. Sign up for the Quiver API for real-time access. - 1M - 3M - 6M - YTD - 1Y - 2Y - 5Y - MAX About Key Metrics Return (1d) Return (30d) Return (1Y) CAGR (Total) Max Drawdown Beta Alpha Sharpe Ratio Win Rate Average Win Average Loss Annual Volatility Annual Std Dev Information Ratio Treynor Ratio Total Trades Metrics Definitions Disclaimer: The performance results shown are based on historical backtesting and are hypothetical in nature. Backtested performance does not represent actual trading and does not account for all market factors that may affect execution, such as liquidity, slippage, and changing market conditions. Past performance is not necessarily indicative of future results. There is no guarantee that any trading strategy will be profitable or avoid losses. - AlphaMeasures a portfolio's risk-adjusted performance against that of its benchmark Learn More about Alpha - Annual Standard DeviationMeasures how much the portfolio's total return varies from its mean or average. Learn More about Annual Standard Deviation -
Jul 31, 2026 · via quiverquant.com
Bitcoin's (BTC -1.44%) scariest and most misunderstood long-term risk might also be its next big catalyst. It's currently priced at 49% below its all-time high near $126,100, and Capriole Investments founder Charles Edwards blames much of the gap on investors' fears about quantum computing. In a conversation with Cointelegraph on July 24, Edwards pegged that fear discount at near 30%. Once Bitcoin's developers commit to a road map for fixing quantum computing-related security vulnerabilities, he expects that discount to vanish and for the price to jump by at least 10%. The catch is that publishing such a road map is harder than it sounds. A road map would sharply move the price The core problem facing Bitcoin right now is that its wallets use encryption that, in theory, can be cracked by a sufficiently powerful quantum computer. No computers powerful enough to do that exist today. But they might exist in five or 10 years, and if they're used to hack people's wallets and steal their coins, it would trigger a sell-off of historic size. To avoid that pitfall, Bitcoin's developers need to plan to upgrade the chain's encryption scheme for all newly created wallets, while also determining what to do with wallets that may be forgotten, abandoned, lost, or otherwise inaccessible to their rightful owners. That's no small issue, as Bitcoin's founder, Satoshi Nakamoto, is thought to still hold around 1.1 million Bitcoin. Leaving that stash vulnerable means someone with a quantum computer could steal it and sell it all to tank the coin's price, even if everyone else's funds are secure. Having a public road map for the transition to post-quantum cryptography would turn that open-ended dread into the well-defined and fairly controlled risks of an engineering project. Edwards thinks that a clear plan would extinguish the fear
Jul 31, 2026 · via fool.com
What is a quantum computer? The question feels deceptively simple. It is a computer that uses quantum effects to run calculations – or at least, that is what I have been saying to friends and acquaintances for years. Because I report about the latest advances in quantum computing nearly constantly, I have felt confident in this answer. Recently, however, I have had to re-examine that confidence. A more detailed question makes clear why: though I can name many different components and functions of a quantum computer, could I identify exactly when they all become a quantum computer? One recent philosophical study suggests that this is at the root of the difficulty of forecasting the future of quantum computing. For Christophe Jurczak at investment firm Quantonation, it all started at a conference that had nothing to do with quantum computing. Researchers were discussing a different emerging technology, and Jurczak realised that he had first heard about it 30 years ago. Back then, everyone was saying that it was only “five years away”. Déjà vu. Then, a worry set in – could quantum computers also be such a “perpetual five-year technology” (PFYT)? This drove him to do a year-long deep dive into philosophical literature. The paper I read was its outcome. In it, he argues that, right now, quantum computers are firmly in the PFYT category. All attempts to forecast when quantum computers will truly arrive are misguided so long as they presuppose that we already know what quantum computers are, he writes. “If the identity of a quantum computer is still being settled as the machine develops, that presupposition fails.” Advertisement As someone who thinks about quantum computing an awful lot, I wanted to know what exactly brought Jurczak to this somewhat alarming conclusion. In the nearly five years that I
Jul 31, 2026 · via newscientist.com
IBM cuts quantum error rates 10x as computer completes hard task in 15 minutes IBM researchers completed a difficult quantum computation in 15 minutes while cutting effective logical error rates to 10x below physical rates. Read Next: US neighbor's hydrogen reactor tech could enter German-led submarine productionIBM and University of Chicago researchers have demonstrated a quantum computing system that they say can perform a computationally difficult task while also providing evidence that the result is accurate. The experiment used error-corrected logical qubits to run a complex quantum circuit that classical simulation methods could not practically reproduce. IBM’s quantum computer completed the computation in about 15 minutes, while leading classical approaches faced prohibitive runtimes. More importantly, the researchers found that the effective logical error rate was 10 times lower than the physical error rate. That means the error-correction system substantially reduced the impact of hardware-level errors during the computation. The result addresses a major problem in demonstrating quantum advantage. As quantum computations become too difficult for classical computers to reproduce, independently checking whether the quantum machine produced the correct result also becomes harder. Quantum results need proof Researchers have traditionally used a technique called random circuit sampling to test whether quantum computers can perform calculations beyond the practical reach of classical machines. The method generates complex patterns that are difficult for classical systems to reproduce. But there is a catch. If the calculation is too difficult for a classical computer to simulate, it can also become difficult to verify the quantum computer’s output. More from Science See AllThe IBM and University of Chicago team used a different circuit design that maintains the computational difficulty of random circuit sampling while allowing errors to be detected during the calculation. “Verification remains one of the biggest challenges in firmly establishing experimental quantum advantage,” said
Jul 31, 2026 · via interestingengineering.com
Hong Kong banks can no longer ignore the quantum threat HKMA survey is a wake-up call for the city’s financial sector to embrace cryptographic agility before it’s too late Bankers around the world have been nervously watching a countdown to Q-Day, the hypothetical moment when quantum computers become powerful enough to decipher even the most secure encryption. However, few are prepared to face this hi-tech threat. It is good that Hong Kong’s banking sector has received a fresh wake-up call about cybersecurity risks related to the technology. On Monday, the city’s de facto central bank sounded the alarm as it unveiled a new benchmark to track industry readiness. Concern centres on highly anticipated technology that taps the rules of quantum physics to create machines that solve problems much faster than computers of the past. For global banking, this new massive processing power will be a double-edged sword as current encryption becomes obsolete, leaving data and systems exposed to hackers. The authority said it could take until 2030 before banks earn full marks on the new index, a worrying result since tech giant Google has warned that quantum computers could hack some systems by 2029. The monetary authority deserves credit for pushing the banking sector to pick up the pace. The city’s fintech sector has a reputation for innovation, resilience and problem-solving. The new index should be seen as a catalyst for rising to the challenges. The score should also be viewed as a transparent baseline assessment. The survey found 68 per cent of banks have started some preparations. Others must take the initiative and move to catch up.
Jul 30, 2026 · via scmp.com
Six days ago, IBM agreed to buy a quantum-computing lab that builds a kind of qubit IBM does not. This week, the lab showed the world why. HRL Laboratories published a result in Nature on Wednesday: a silicon quantum processor that, in effect, runs itself. The Malibu research house is jointly owned by Boeing and General Motors. IBM had agreed to acquire it on 23 July, before the paper was public. The wiring problem Every quantum computer hits the same scaling trap. The qubits sit in a refrigerator near absolute zero. The electronics that control them sit at room temperature, in racks. Each qubit needs its own control lines running down into the cold. Scale to the millions of qubits a useful machine will need, and the wiring becomes an impossible tangle. HRL moved the controller into the cold. It built a custom chip that runs at about 4 kelvin, inside the fridge beside the qubits. That chip generated every control signal for an 18-qubit device. Crucially, it ran error correction on its own, with no real-time help from room-temperature electronics, the company said. HRL says that is a first. How they kept the qubits cold Putting warm electronics next to cold qubits sounds self-defeating. Even at 4 kelvin, the controller is hot compared with the qubits below it. The fix is a new superconducting ribbon cable. It carries hundreds of control signals down to the qubits, but almost none of the heat. The fragile quantum states survive. The numbers back the claim. HRL reports control errors ten times lower than any previous demonstration with this type of qubit. Each operation takes under a microsecond. When the team added more qubits to its error-correcting code, the error rate fell about fivefold. That is the “error suppression” every quantum computer will
Jul 30, 2026 · via thenextweb.com
IBM and researchers from the University of Chicago announced July 30 a demonstration in quantum computing that meets the fundamental criteria for “quantum advantage”—the point where quantum computers can be confirmed to have outperformed classical computers on trusted computations. The collaboration said their system had performed computations beyond the reach of leading classical simulation methods, while providing trust that the computation returned accurate results. In their new paper, the researchers showed that these two goals could be achieved by a novel construction of encoded quantum circuits—one of the largest demonstrations of logical quantum computing to date. Building trust into quantum results For years, researchers have used a benchmark known as random circuit sampling, or RCS, to test whether quantum computers could outperform classical systems. In simple terms, RCS asks a quantum computer to generate patterns so complex that a classical computer cannot efficiently reproduce them. The challenge has been verification: as the problem becomes harder, it becomes increasingly difficult and then infeasible to prove the quantum computer’s answer is correct, without making strong assumptions about the inner workings of the quantum computer. In their experiment, researchers addressed this obstacle with a structured alternative to RCS. The team was able to prove that this alternative retains the same hardness criteria as RCS, but crucially, the new structure can be used to detect errors during the computation. “Verification remains one of the biggest challenges in firmly establishing experimental quantum advantage,” said Bill Fefferman, associate professor of computer science at UChicago and co-author on the paper. “This experiment develops techniques to better characterize the fidelity of hard quantum states under noise, increasing confidence that the quantum computer is solving a computationally hard problem.” Co-author Soumik Ghosh, a graduate student in Fefferman’s group at UChicago, added: “Beyond strengthening experimental validation, advances in verification have
Jul 30, 2026 · via news.uchicago.edu
Two Arizona State University researchers have earned prestigious National Institutes of Health awards, bringing nearly $4 million in federal investment to Arizona to advance quantum sensing and microbial research. The work has the potential to improve human health and create new quantum technologies. Known as the Maximizing Investigators' Research Award, or MIRA, it is among the most competitive distinctions a biomedical researcher can achieve. The award provides millions of dollars over five years to support each scientist's entire research program. Unlike most awards, which fund a single project, MIRA gives researchers the flexibility and stability to explore new ideas and spend more time making discoveries with potential national impact. The recipients are Mouzhe Xie and Glen D'Souza, assistant professors in ASU's School of Molecular Sciences. While their research explores different scientific questions, both are working to better understand the fundamental processes that could lead to healthier lives, new biomedical technologies and scientific discoveries. "Receiving a prestigious NIH MIRA award is a tremendous accomplishment for both Professor Xie and Professor D'Souza," said Ian Gould, President’s Professor and interim director of the School of Molecular Sciences. "A MIRA award is fundamentally different from a traditional research grant. Rather than funding a single, predefined project, it reflects the NIH's confidence in an investigator's creativity, judgment and scientific vision, giving exceptional researchers the flexibility to pursue the most promising opportunities as new discoveries unfold. "In essence, a MIRA award is an investment not in a specific research proposal, but in Professor Xie and Professor D'Souza themselves as scientists. This recognition speaks to their outstanding track records, the significance of their contributions to their respective fields, and the confidence that the NIH has in their future discoveries.” Developing quantum sensors Xie received approximately $2 million to develop quantum sensors that could help scientists study what
Jul 30, 2026 · via news.asu.edu
NSF Funds Major Center at UC San Diego to Make New Quantum Materials Published Date Story by: Topics covered: Share This: Article Content Key Takeaways - The new center links fundamental and applied materials science research with education and workforce development - The center's focus on quantum materials could benefit low-power computing, data encryption, secure communications, medical diagnostics, sensors, stealth materials and high-performance electronics - The new center at UC San Diego brings together the Jacobs School of Engineering and School Physical Sciences for maximum relevance in a series of industrial priority areas for the nation The U.S. National Science Foundation (NSF) has awarded University of California San Diego researchers a six-year $18M grant to fund a Materials Research Science and Engineering Center (MRSEC) focused on making new kinds of quantum materials. Quantum materials show promise for a broad range of national priorities including low-power computing, data encryption, secure communications, medical diagnostics, sensors, stealth materials and high-performance electronics. The U.S National Science Foundation Materials Research Science and Engineering Centers provide the resources and interdisciplinary environment needed for materials research activities of ambitious scope and complexity, and are transformative for the schools that earn them. Supported by the NSF Directorate for Mathematical and Physical Sciences, the centers produce innovations that create a scientific foundation for future technologies that enhance the U.S. economy, strengthen national security and improve quality of life. At UC San Diego, the MRSEC is a joint initiative between the Jacobs School of Engineering and the School of Physical Sciences. This new grant brings together physicists, chemists, materials scientists and engineers to collaborate on quantum materials, which are materials that derive their properties from quantum mechanical interactions between atoms, molecules and larger structures. "This MRSEC grant is a powerful confirmation that UC San Diego stands at the very forefront
Jul 30, 2026 · via today.ucsd.edu
There are many algorithms for which it has been mathematically proven that a quantum computer can generate results that would take a classical computer an unreasonable amount of time to generate. Unfortunately, today’s quantum computers either can’t run those algorithms or can only run simplified versions that classical computers can also handle. This has left the field facing a challenging question: Can we demonstrate the promise of quantum computers on today’s noisy, limited hardware? That’s a more difficult question than it may first appear. If you generate a result that’s out of reach of today’s regular computers, it may not be possible to verify that you got the right result. And given that today’s quantum computers are somewhat error-prone, getting the wrong result is a distinct possibility. Further, in the absence of a mathematical proof of the capabilities of quantum hardware, it’s possible that a better classical algorithm could outperform the quantum hardware. These issues inspired IBM to launch a quantum advantage tracker. On Thursday, the company announced three new entries that it says clearly show a quantum advantage, each using a different approach to overcoming errors and validating quantum results. “Trusted computing when you can do classical simulations is irrelevant,” IBM’s Jay Gambetta told Ars. “Trusted computing when you can’t do classical simulations is a big deal.” None of the results are immediately useful, but they hint that we might be heading in the right direction. Trust, but verify At this point, there have been many claims of quantum advantage, and at least one has the potential to be useful. But in a number of high-profile cases, algorithm developers have developed optimized algorithms that have severely reduced the advantage, bringing classical computers back up to par. Another issue is verification. If your quantum computer is generating a statistical pattern
Jul 30, 2026 · via arstechnica.com
SAN FRANCISCO--(BUSINESS WIRE)--Jul 30, 2026-- When will meaningful applications of quantum computers arrive? The standard answer has been at least five to ten years, while we wait for fully fault-tolerant hardware with millions of qubits. A new landmark study disagrees, saying Quantum Advantage is already here. BlueQubit supported Qedma Quantum Computing alongside IBM and RIKEN in demonstrating that today’s quantum computers can solve problems beyond the capabilities of the most powerful classical computers. Standard physics suggests materials quickly dissolve into randomness when rhythmically driven, like an ice cube melting instantly in hot coffee. The original shape of the ice cube is lost to the chaotic heat. Properties of advanced technologies like room-temperature superconductors, next-generation EV batteries, ultrafast optoelectronics, and other non-equilibrium quantum materials reside in the steady oscillations of a protective “prethermal” barrier. Qedma led the team in simulating the sub-atomic oscillations of a Floquet Ising magnet over extended periods on both classical and quantum architectures, with an extensive validation strategy. To push classical simulation to its absolute limits, RIKEN executed over 500,000 CPU-core hours on the Fugaku supercomputer, while BlueQubit ran state-of-the-art tensor network and Pauli path simulation algorithms across high-performance GPU clusters. They validated that only an error-mitigated quantum processor can deliver consistent, stable results. Today’s quantum hardware is notoriously noisy. Imagine trying to play a delicate violin next to a jet engine. To isolate and subtract hardware noise, Qedma deployed its revolutionary QESEM error-mitigation software on IBM’s 156-qubit Heron quantum processor. Qedma then performed independent validation with QESEM across quantum hardware platforms, including trapped-ion systems from Quantinuum. The team resolved the material's behavior with percent-level accuracy without millions of qubits or fully error-corrected hardware. “Proving true quantum advantage requires rigorous verification against the uppermost limits of classical computing," said Hayk Tepanyan, BlueQubit co-founder and CTO. "By running
Jul 30, 2026 · via rutlandherald.com
A quantum-resistant cryptography algorithm that was under consideration as an official US standard has been taken out of the running after an Anthropic security model helped find a flaw that rendered it broken. The algorithm is known as HAWK. It’s a digital signature scheme designed to withstand future attacks from quantum computers. HAWK had survived two rounds of testing by NIST (the National Institute of Standards and Technology) for evaluating the security of PQC (post-quantum cryptographic) algorithms through widespread testing. HAWK was in a third round of testing designed to catch precisely the kinds of flaws Mythos helped uncover. Following Anthropic’s Monday announcement of the results, the developer of HAWK said Tuesday he was withdrawing it. Even before the development, Anthropic was hailing the results of the two cryptographic problems it threw at its Mythos AI security model. The model found weaknesses in the mathematical problems underpinning HAWK and, separately, the widely used AES cipher. Despite the withdrawing of HAWK, it’s hard to know how much of the company’s reporting is marketing hype, but the findings are still worth paying attention to because they could signal important advances in breaking cryptography that’s crucial to privacy and security. Before digging into the results, a few caveats. First, the outcomes are incremental. They don’t break any of the cryptosystems anyone relies on today. Instead, they reveal methods for moderately reducing the work that would be required to defeat the systems. Second, the cryptosystems tested were weakened versions of the ones defined in their formal specifications. Such “challenge instances” are provided by the specification authors for use in adversarial peer review. It’s standard to use the weakened versions in testing, but the real ones are considerably more robust in production settings. As Bruce Schneier said when reviewing another incremental improvement on the attacks
Jul 30, 2026 · via arstechnica.com
CSU in August: Highlights from the University Events Calendar and around Fort Collins July 29, 2026 Whether you’re new to Fort Collins, returning to campus or simply looking for ways to connect, August offers plenty of opportunities to experience the CSU and Northern Colorado communities. From Rams at the Rockies and Ram Welcome to conferences, workshops and the first day of classes, here’s a look at some of the month’s featured events at Colorado State University. Discover even more ways to get involved by exploring the City of Fort Collins and Fort Collins Area Chamber of Commerce event calendars. Want your event considered for a future monthly roundup? Submit it to the CSU Events Calendar. Saturday, Aug. 1 Rams at the Rockies Rams at the Rockies Day returns, bringing together CSU students, faculty, staff, alumni and fans for an afternoon at Coors Field. Special event tickets include a limited-edition CSU Rams-themed Colorado Rockies hat. Tuesday, Aug. 4, to Thursday, Aug. 6 School is Cool Volunteers are needed for School is Cool’s annual backpack stuffing event. Help prepare backpacks filled with school supplies for local K-12 students as the program celebrates 35 years of supporting families across Northern Colorado. Monday, Aug. 10 AI Teaching and Learning Symposium The Office of the Provost and Executive Vice President, CSU Libraries and The Institute for Learning and Teaching (TILT) will host a half-day AI Teaching and Learning Symposium on Monday, Aug. 10. The event features a keynote by Penn State University Professor Stuart Selber, a faculty panel and interactive Engagement Stations exploring teaching strategies and innovations for using artificial intelligence in higher education. Tuesday, Aug. 18 City of Fort Collins event: Drop-in Community Nature Journaling Join a volunteer naturalist for Drop-in Community Nature Journaling at Bobcat Ridge Natural Area. This free, informal gathering invites
Jul 30, 2026 · via source.colostate.edu
Investors searching for the next wave of computing innovation can find it in Astera Labs (ALAB -4.03%) and IonQ (IONQ -5.58%). Both companies offer unique exposure to the future of high-performance infrastructure. Astera Labs focuses on the immediate needs of artificial intelligence data centers through high-speed connectivity. Meanwhile, IonQ is building the foundation for quantum computing, a field that could eventually redefine how we solve the world's most complex problems. The case for Astera Labs Astera Labs provides connectivity solutions that link essential components within large scale AI data centers. It has positioned itself as a critical player among semiconductor stocks by solving data bottleneck problems with its hardware and software. Because one end customer accounts for over 70% of revenue, this concentration adds a layer of risk to the business. In its 2025 fiscal year (FY), revenue reached nearly $852.5 million, representing growth of 115.1% over the prior year. The company reported net income of $219.1 million for the same period. This was a significant turnaround from the net loss reported in fiscal year 2024 and resulted in a net margin of 25.7%. As of its December 2025 balance sheet, the debt-to-equity ratio is zero, meaning the company has no debt relative to shareholder equity. The current ratio is 10.2x, which measures a company's ability to cover short-term debts with its current assets. Free cash flow, which is the cash a company generates after supporting operations and capital assets, was $281.8 million, but stock-based compensation represented 50.1% of operating cash flow, which inflates reported cash generation. The case for IonQ IonQ offers quantum computing through the cloud and is currently integrating its business by acquiring SkyWater Technology. It reaches customers through major cloud platforms provided by the likes of Amazon. These partnerships allow the company to sell its computing
Jul 29, 2026 · via fool.com
With The Carina System, QuiX Pushes Photonic Quantum Computing Forward For the past several months, QuiX Quantum has been rolling out key pieces of what executives are calling the vendor’s universal photonic quantum computing architecture. That includes the Feed-Forward Control Unit (FFCU), an important hardware component that allows real-time measuring response, and its Photonic Assembly Control Unit (PACU), a standardized controller for its photonic quantum systems. The technologies came together in the unveiling June 30 of QuiX’s Dedalo system architecture, which comes with multiple goals, from developing high-performance and error-corrected photonic qubits and fault-tolerant photonic quantum computers to ensuring the systems can easily fit and be deployed in quantum-classical hybrid HPC datacenters. Fourteen days later, the seven-year-old Dutch company this week is announcing Carina, which is the first of its commercial photonic quantum computers and which sets the stage for the Dedalo architecture and its use of logical qubits. Carina is the system that addresses both needs for universal photonic quantum computing and use in traditional datacenters, according to QuiX chief executive officer Stefan Hengesbach. The photonic quantum sector has been partitioned into architectures that can be quickly commercialized but don’t fit within the definition of universal, fault-tolerant computing, and others that can be scaled into the future but are difficult to deploy in working datacenters. “Carina is bringing those two requirements together into a universal architecture for installation into real customer environments,” Hengesback said in a statement. The development of quantum computing systems of multiple modalities – from superconducting and neutral atoms to trapped ions and photonics – has accelerated over the past several years, with the rise of generative and agentic AI more giving it a boost. Quantum systems right now are primarily accessible via the cloud, but the expectation is that they’ll quickly find their way into
Jul 29, 2026 · via nextplatform.com
There’s no denying it: the quantum-computing sector has been unwound. Over the past month, pure-play quantum stocks have sold off sharply as investors pulled capital out of high-multiple and often pre-profit tech. For example, IonQ (NYSE:IONQ | IONQ Price Prediction) shares are down 39% over the trailing month, with the stock changing hands midday Wednesday at $32.86. Rigetti Computing (NASDAQ:RGTI) shares are down 30% over the same stretch, and D-Wave Quantum (NYSE:QBTS) shares are also down 30%. Meanwhile, Quantum Computing (NASDAQ:QUBT) shares have slid 24% in a month. The pain has been broad, but not uniform. Sector-Wide De-Risking Drives the Slide The selloff in IonQ, Rigetti, D-Wave, and Quantum Computing shares looks less like a company-specific story and more like a sentiment reset across speculative tech. Investors have trimmed exposure to high-multiple, pre-profit names as AI-infrastructure and semiconductor valuations were re-priced. Quantum pure-plays sit at the far end of that risk spectrum. The valuation setup makes the reaction easier to understand. IonQ stock carries a trailing 12-month P/E ratio of 84.26x, while Rigetti, D-Wave, and Quantum Computing stocks have no meaningful trailing 12-month P/E ratios because they were unprofitable during that time frame. When multiples reset, names anchored to future-scale narratives can take the biggest hit. The fundamentals reinforce that story. IonQ posted Q1 2026 revenue of $64.67 million, up 755% year over year (YoY), but its adjusted EBITDA loss guide for the year sits at -$330 million to -$310 million. D-Wave reported Q1 2026 revenue of $2.86 million, down 81% YoY on lumpy system-sale timing, though bookings jumped 2,000% YoY. Rapid growth, deep losses, and heavy stock-based compensation are difficult for investors who want to see profits. The Bull Case Hasn’t Vanished Recent catalysts complicate the “more pain” thesis. IonQ received final regulatory approval to complete its acquisition of
Jul 29, 2026 · via 247wallst.com
Australian organisations are facing a looming deadline to begin securing their systems against attacks from powerful quantum computers by the end of the year, as experts warn the threat is real, and fast approaching.
Around the world, regulators are imposing aggressive timelines for organisations to prepare for the arrival of quantum computers that could soon render obsolete the encryption methods that underpin most of today’s internet security.
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Jul 29, 2026 · via afr.com
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Jul 29, 2026 · via youtube.com