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Three Miami seniors receive Astronaut Scholarships for 2026

Three Miami seniors receive Astronaut Scholarships for 2026 Sara McGinnis, Siena Madsen, and Caden McCollum earn prestigious, merit-based award from Astronaut Scholarship Foundation Three Miami seniors receive Astronaut Scholarships for 2026 Sara McGinnis, Siena Madsen, and Caden McCollum earn prestigious, merit-based award from Astronaut Scholarship Foundation Miami University students Sara McGinnis, Siena Madsen, and Caden McCollum have earned Astronaut Scholarships for 2026. Awarded by the Astronaut Scholarship Foundation, the Astronaut Scholarship is among the most significant merit-based, monetary scholarships awarded to undergraduate science, technology, engineering, and mathematics (STEM) juniors and seniors who intend to pursue research or advance their field upon completion of their final degree. Created in 1984 by the six surviving Mercury 7 astronauts, the foundation’s mission is “to aid the United States in retaining its world leadership in technology and innovation by supporting the very best and brightest scholars in science, technology, engineering and mathematics while commemorating the legacy of America’s pioneering astronauts.” Miami is one of the foundation's original university partners, with the first student being awarded a scholarship in 1986. There are currently 55 partner institutions nationally. Miami is also one of seven partner schools of the foundation's Founders for the Future program. Thanks to a $1 million grant from Blue Origin’s nonprofit Club for the Future, seven additional Astronaut Scholarships — one from each of the seven partner schools — will be provided every year through 2029. The Astronaut Scholarship is considered one of the premier scholarships available to undergraduate STEM majors intending a career in research. Sara McGinnis A senior Physics and Environmental Science double major from Okeana, McGinnis conducts research investigating the properties of topological materials with faculty mentor Perry Corbett. Corbett, the James C. and Carole E. Garland Assistant Professor of Physics, praised McGinnis for her attention to detail and enthusiasm

Explain the Universe #8: Newton's Cannonball

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<b>Quantum Computing</b> Inc. posts Q1 2026 net loss | QUBT 8-K Filing

Check the appropriate box below if the Form 8-K filing is intended to simultaneously satisfy the filing obligation of the registrant under any of the following provisions: Indicate by check mark whether the registrant is an emerging growth company as defined in Rule 405 of the Securities Act of 1933 (§230.405 of this chapter) or Rule 12b-2 of the Securities Exchange Act of 1934 (§240.12b-2 of this chapter). If an emerging growth company, indicate by check mark if the registrant has elected not to use the extended transition period for complying with any new or revised financial accounting standards provided pursuant to Section 13(a) of the Exchange Act. ☐ On May 13, 2026, Quantum Computing Inc. (the “Company”) presented an investor presentation at an investor conference, and on May 14, 2026, the Company posted the presentation to the Company’s website. A copy of the presentation is attached hereto and furnished herewith as Exhibit 99.1. This information is being furnished pursuant to Item 7.01, “Regulation FD Disclosure,” and shall not be deemed “filed” for purposes of Section 18 of the Securities Exchange Act of 1934, as amended (the “Exchange Act”), or incorporated by reference in any filing under the Securities Act of 1933, as amended, or the Exchange Act, except as shall be expressly set forth by specific reference in such a filing. Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned hereunto duly authorized. Exhibit 99.1 Investor Presentation NASDAQ: QUBT May 2026 2 This presentation contains forward-looking statements as defined within Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. By their nature, forward-looking statements and forecasts involve risks

3 <b>Quantum Computing</b> Stocks to Buy Right Now | The Motley Fool

Artificial intelligence (AI) may be the technology that is most in focus on Wall Street right now, but quantum computing is the next major tech trend on the horizon. Numerous companies are competing to develop versions of it, and the breakthroughs quantum computers are expected to deliver in a host of areas, from drug development to logistics to materials science, could be breathtaking. Although useful quantum computers are still a few years out, I think investors must respond now and position their portfolios accordingly. The biggest gains for some of the eventual leaders will happen early on, and the sooner investors get on board, the better off they will be. In my view, these three companies are among those best positioned to benefit when quantum computing goes mainstream. D-Wave Quantum D-Wave Quantum (QBTS 8.04%) is one of my favorite companies in the sector. While many companies are developing broad-purpose quantum computers, D-Wave is taking a narrower approach. Its primary products use a technology called quantum annealing, which makes them unsuitable for many applications. However, they are ideally suited to handling optimization problems, and those make up a large fraction of the types of tasks that quantum computers will be used for. Moreover, D-Wave already has early iterations of these computing units available, and they are making a real-world impact. Thanks to a recent acquisition, the company is also pursuing gate-model systems that are more akin to what others in the industry are going after, giving it two chances at success. NYSE: QBTS Key Data Points Recently, D-Wave closed a $20 million deal to sell a system to Florida Atlantic University and inked a $10 million agreement with a Fortune 100 company. This showcases early demand for D-Wave's systems, and if these deals are successful, they could lead to future sales

D-Wave <b>Quantum's</b> Uphill Battle: Record Orders, a Revenue Collapse, and a $1.5 Billion ...

D-Wave Quantum's Uphill Battle: Record Orders, a Revenue Collapse, and a $1.5 Billion Competitor IPO 18.05.2026 - 07:13:46 | boerse-global.deThe Quantum computing sector has a new heavyweight contender. Quantinuum, the Honeywell-backed quantum firm, filed with the SEC in mid-May to raise up to $1.5 billion in an IPO on the Nasdaq Global Select Market under the ticker QNT. In its S-1 filing, the company explicitly positioned itself alongside Alphabet, Amazon, IBM, and Microsoft while categorizing D-Wave, IonQ, and Rigetti as "less established" players. That direct competitive shot lands just as D-Wave Quantum's management begins a whirlwind tour of six Wall Street conferences to win back investor confidence. The timing could hardly be more delicate. D-Wave's first-quarter 2026 results painted a stark picture: revenue plunged 81% year-over-year to just $6.3 million, while net losses widened to $18.4 million. Yet simultaneously, the company reported record bookings of $33.4 million — a nearly 2,000% surge over the same quarter last year. Two mega-deals underpin that figure: a $20 million Advantage2 system sale to Florida Atlantic University and a two-year, $10 million quantum-computing-as-a-service contract with a Fortune 100 enterprise. The disconnect between orders and recognized revenue is the central tension the company must address. D-Wave's stock has felt the sting. At €17.48, the shares have shed 27% since January and 54% from an October 2025 high of €38.48. The relative strength index sits around 30, deep in oversold territory, while annualized volatility exceeds 110%. Friday alone brought an 8% drop. Still, the balance sheet offers a cushion: $588 million in cash and equivalents, virtually debt-free, and nearly double the cash pile of a year ago. Should investors sell immediately? Or is it worth buying D-Wave Quantum? Management’s response is a packed schedule of investor outreach stretching from May 14 to June 10. Appearances are

CeB₆ surface reconstructions force a rethink of bulk electronic behavior

For decades, scientists have relied on surface-sensitive measurements to understand how cubic hexaboride materials like cerium hexaboride (CeB₆) behave at the electronic level. But a new study suggests that these observations may not always tell the full story: surface rearrangements can fundamentally change what experiments detect. At first glance, CeB₆ has a simple cubic crystal structure yet, at low temperatures, competing quantum interactions give rise to unusual magnetic and electronic phases, making it a cornerstone material for understanding how electrons behave when they interact strongly with one another. For decades, it has therefore served as a model system in the study of strongly correlated electron physics. To probe this rich physics, researchers often rely on surface-sensitive techniques such as scanning tunneling microscopy (STM) and angle-resolved photoemission spectroscopy (ARPES). These tools allow scientists to map electronic states with atomic precision; however, new discoveries by M. V. Ale Crivillero (Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology, Barcelona, Spain), and colleagues suggest that such measurements may not always reflect the intrinsic behavior of the materials like CeB6. Surface reconstructions hide an electronic gap When a crystal is cleaved, bonds are broken; at the surface, atoms can rearrange to minimize energy, forming patterns different from those in the bulk structure. In CeB₆, this rearrangement appears to be the rule rather than the exception: in low-temperature, in-situ experiments, the team found that atomically flat, unreconstructed surfaces are extremely rare, typically extending only a few tens of nanometers. Instead, once the crystal is cleaved, most exposed regions quickly rearrange into new atomic patterns—known as surface reconstructions—before measurements are performed. This finding has important implications. If STM or ARPES measurements are performed on reconstructed regions—knowingly or not—then the observed electronic spectra may reflect surface-specific effects rather than intrinsic bulk behavior. On the rare

Charles Hoskinson says <b>quantum computers</b> likely to be commercialised before 2033, need ...

Charles Hoskinson, founder of Cardano (ADA), warned there is more than a 50 percent chance quantum computers will become a practical threat to cryptocurrencies before 2033. On May 17 (local time), blockchain media outlet BeInCrypto reported that Hoskinson said the quantum computing risk should be seen not as a distant theoretical possibility but as a technical deadline that requires action starting now. Cardano is pushing a transition to lattice-based cryptography. Hoskinson said, "I think there's a better than 50 percent chance that by 2033, there will be a working commercial quantum computer at scale." He added, "We're working on lattices, but the federal standards have already been applied. We know how to protect ourselves." The core issue is the elliptic-curve signature schemes used by major blockchains today. With sufficient quantum processing power, Shor's algorithm could be used to derive private keys and forge signatures, which could undermine distributed ledger consensus structures. Hoskinson pointed to hardware progress using neutral-atom approaches and government-backed indicators such as the U.S. Defense Advanced Research Projects Agency's (DARPA) quantum benchmarking initiative as factors that are bringing the threat forward. The possibility of a "harvest now, decrypt later" attack, in which encrypted data stored today could be decrypted later, was also raised. That means even if quantum computers have not yet been commercialised, data exposed or accumulated now could become targets of future attacks. The concern is not limited to Cardano. It was also noted that Bitcoin has large holdings at addresses with exposed public keys in a potentially vulnerable state. Hasib Qureshi, managing partner at Dragonfly, said the midpoint estimate for when modern public-key cryptography is decisively broken is about 10 years, while noting the timeline could be pulled forward. Cardano's response focuses on lattice problems, particularly the Learning With Errors (LWE) family. This approach is

China's <b>quantum computer</b> solves problem in microseconds, surpassing top US supercomputer

Scientists at the University of Science and Technology of China (USTC) said their Jiuzhang 4.0 quantum computer solved a Gaussian boson sampling problem more than 10 to the 54th times faster than the world’s most powerful supercomputer, setting a new record in optical quantum computing, according to a study published last week in the journal Nature. Lu Chaoyang, a professor at USTC, said the team developed a highly efficient optical parametric oscillation light source along with a hybrid space-time multiplexed interferometer. By integrating 1,024 high-performance squeezed-state optical fields into an 8,176-mode hybrid space-time multiplexing circuit, the researchers were able to control and detect up to 3,050 photons, according to the Chinese Academy of Sciences. This was a major improvement from the 255 photons achieved by its predecessor, Jiuzhang 3.0, in 2023. "This means that the most complex data sample generated by 'Jiuzhang 4.0' takes only 25 microseconds to produce -- shorter than the blink of an eye. In contrast, the world's most powerful supercomputer would require more than 10 to the 42nd years to calculate the same result," Lu said, as quoted by Xinhua. | The Jiuzhang 4.0 quantum computer developed by scientists at the University of Science and Technology of China. Photo courtesy of USTC | A quantum computer works based on the laws of quantum mechanics. Its basic unit, known as a quantum bit or qubit, can exist as both 0 and 1 at the same time, unlike a traditional computer bit, which can only be 0 or 1. This allows quantum computers to process many possible solutions at once, making them much faster for certain tasks such as solving mathematical problems and simulating quantum systems. The main quantum computing approaches today include superconducting, ion trap, photonic and neutral atom systems. The Jiuzhang series belongs to photonic quantum

<b>Quantum Computing</b>: Beneficial or an Existential Crisis?

Aiden Choi 학생기자 서니힐스 고교 11학년 The word quantum has become so ingrained in our society as a way to describe anything too advanced for us laymen to comprehend. This is partly thanks to modern media, where it has often become a buzzword to describe anything science-related that is too complicated to understand. However, quantum science is a very real field of science and has very real-world applications, one of which is the study of quantum computing. Many large tech companies have already joined the wave of interest in this new field of quantum computing, and rightfully so. Any company that builds the first successful quantum computer will be cemented in history as singlehandedly creating the most powerful machine in all of human history. Although the logistics of quantum computing remain somewhat theoretical, substantial steps have been taken in transforming the idea of a quantum computer into a real engineered masterpiece. IBM leads the charge, as Jay Gambetta, Director and IBM Fellow of Before considering the concerns quantum computing poses for global security, it is important to first understand how it works. In a nutshell, rather than operating in bits-a series of 1s and 0s that lay the foundation of traditional computers-quantum computing works with qubits, where instead of being a 1 or 0, they can simultaneously be both via superposition. The upside of working with qubits is that algorithms and processes that would normally take a significant amount of time for traditional computers-such as decrypting global encryption keys-could be done in a matter of moments. Quantum computing can solve complex problems and algorithms exponentially faster than traditional computers. The reason this poses such an issue in global security is that it allows for our encryption to be decoded strikingly fast. The way our information, including government data, travels across

<b>Quantum</b> ghost imaging works using only sunlight in stunning new experiment

Quantum ghost imaging works using only sunlight in stunning new experiment Scientists turned sunlight into a quantum imaging tool, generating correlated photons without using a laser for the first time. - Date: - May 17, 2026 - Source: - SPIE--International Society for Optics and Photonics - Summary: - Scientists have achieved something that once sounded almost impossible: using ordinary sunlight to create quantum-linked photon pairs, a phenomenon normally dependent on precise laboratory lasers. By building a sun-tracking system that funnels sunlight through optical fiber into a special crystal, researchers generated strongly correlated photons capable of performing âghost imaging,â where images are reconstructed indirectly through quantum correlations. Remarkably, the sunlight-powered setup produced image quality close to that of a traditional laser system, even recreating detailed images like a âghost face.â - Share: Correlated and entangled photon pairs are essential tools in quantum optics. Scientists usually create these photon pairs through a process called spontaneous parametric down-conversion (SPDC), in which a powerful, highly stable laser shines into a nonlinear crystal. Because SPDC depends so heavily on coherent laser light, researchers have long considered the technique impractical outside carefully controlled laboratory environments. More recently, studies have shown that perfectly coherent light is not actually required for SPDC to work. Even partially coherent light sources can produce correlated photon pairs, while also transferring some of their own coherence properties to the generated photons. That discovery led researchers to ask an intriguing question: could sunlight itself be used to generate correlated photon pairs? Using Sunlight for Quantum Optics Turning sunlight into a usable SPDC source comes with major obstacles. Sunlight reaching Earth constantly fluctuates in brightness, direction, and position, making it difficult to maintain the precise alignment needed for SPDC experiments and photon detection. At the same time, sunlight offers a major advantage. Unlike lasers,

<b>Quantum computing</b> threatens to unleash a cybersecurity crisis | CNN

The clock is ticking on Q-Day, the looming yet unknown date when quantum computing will have the capacity to quickly and easily break the encryption keys that keep most internet communication safe. Experts have known about the hypothetical risk of Q-Day since the 1990s. But Google recently warned that quantum computers may be able to hack some encrypted systems by 2029 — a timeline that drastically narrows the window to safeguard data that many cybersecurity specialists had previously predicted. The new estimate means that governments, companies and other entities may have far less time to prepare. “It’s the day when people, perhaps adversaries, will have access to a quantum computer that can break cryptographic codes that are in use,” said Michele Mosca, cofounder and CEO of cybersecurity company evolutionQ. Q-Day marks the moment a quantum computer gains enough resources and stability to crack conventional crytopgraphy. When that happens, every financial transaction, medical file, email, location history and crypto wallet protected by today’s commonly used algorithms could be unlocked by a machine capable of solving the complex math that currently keeps sensitive data secure. At that game-changing turning point, “everything’s safe — safe, safe — and then suddenly it’s not safe. It’s a very drastic jump,” said Mosca, who is also a professor at the Institute for Quantum Computing at the University of Waterloo in Ontario. Adversaries and bad actors may already be collecting encrypted data, with the intention of launching “harvest now, decrypt later” attacks. In this scenario, information is stolen, stored and then decrypted when a full-scale quantum computer is available, he added. Mosca has coauthored the Quantum Threat Timeline Report, published by the Global Risk Institute in Toronto, since 2019. The seventh edition, published March 9, suggested a full-scale, cryptographically relevant quantum computer was “quite possible” within the

Fault-Finding Technique Boosts Reliability Of Emerging <b>Quantum Computers</b>

Lei Zhang, University of Maryland, and colleagues investigate a new approach to testing hybrid quantum-classical algorithms, which are key for near-term quantum computing but notoriously difficult to verify. Failure-guided fuzzing identifies problematic configurations by first locating non-convergent starting points and then refining quantum circuit parameters around them. Implementation on Variational Quantum Eigensolver and Quantum Approximate Optimisation Algorithm instances within Qiskit reveals that using failure information sharply enhances testing effectiveness compared to random approaches, with concolic seed discovery offering further advantages for specific workloads. These findings highlight a promising pathway towards more strong and reliable hybrid quantum-classical program testing. Failure-guided fuzzing substantially improves quantum circuit error detection A five-fold increase in detected crashes resulted from using failure-guided local fuzzing compared to random hybrid testing, overcoming a key barrier to robust verification. Hybrid quantum-classical (HQC) algorithms, such as the Variational Quantum Eigensolver (VQE) and the Quantum Approximate Optimisation Algorithm (QAOA), delegate computationally intensive tasks between a quantum processor and a classical computer. This division of labour, while promising for near-term quantum devices with limited qubit counts, introduces a complex interplay of classical optimisation and quantum evaluation, creating numerous potential failure points. The expected number of crashes drops below one for even moderately sized quantum circuits, previously hindering error identification; this is because the search space for problematic configurations grows exponentially with the number of qubits and classical optimiser settings. Reusing information from previous failures significantly enhances the efficiency of hybrid quantum-classical program testing, especially when combined with targeted fuzzing around problematic configurations. This is important because the probability of finding errors diminishes exponentially with the number of qubits, making exhaustive testing impractical. The core principle behind failure-guided fuzzing is to leverage the knowledge gained from previous test runs to intelligently guide the search for new errors, rather than relying on purely random