Researchers have developed an algorithm that reduces the computational demands of simulating complex, real-world quantum systems on current quantum hardware. The team reports a method for simulating Lindbladian dynamics, the behavior of open quantum systems subject to environmental noise, by compressing the quantum circuits needed to represent these systems. For open quantum systems with Pauli dissipations, the algorithm utilizes a depth-adaptive parameterized quantum circuit trained to replace computationally expensive steps, effectively shortening the simulation time. This training procedure offers an advantage for near-term, resource-constrained devices, providing a practical route toward ancilla-free and depth-reduced simulation of open quantum systems. Pauli dissipations present a specific challenge in modeling open quantum systems, and researchers have devised an algorithm to address this mechanism with a compact mixed-unitary adjoint channel. This approach allows for ancilla-free implementation through trajectory sampling, a significant advantage given the limited qubit availability on current noisy intermediate-scale quantum (NISQ) devices. The team reports deriving a stable approximation to accurately represent the dissipative dynamics inherent in these systems. This compression strategy minimizes the circuit depth needed to simulate quantum trajectories, addressing a key bottleneck for NISQ-era quantum simulation. The training process for this compression framework can be completed, bypassing the need for additional quantum resources often required by other algorithms. Numerical simulations using the dissipative quantum XY model demonstrate both the accuracy and efficiency gains of this new method, offering a practical route toward simulating complex open quantum systems. The challenge of modeling open quantum systems on near-term devices continues to drive algorithmic innovation; current limitations stem from both the non-unitary nature of dissipation and the finite resources of available quantum processors. Researchers are now focusing on methods to efficiently simulate these systems, specifically targeting Pauli dissipations with a newly developed algorithm that utilizes a compact and stable mixed-unitary adjoint channel to
Jul 13, 2026 · via quantumzeitgeist.com
A 200-year-old physics experiment could help build future computers A 200-year-old light phenomenon has given scientists a surprisingly simple way to create futuristic light structures that could help shape tomorrow's computing technologies. - Date: - July 13, 2026 - Source: - Nanyang Technological University - Summary: - Scientists at Nanyang Technological University in Singapore have discovered a surprisingly simple way to create exotic light structures called optical skyrmions using a 200-year-old optical effect known as the Poisson spot. Instead of relying on expensive, highly engineered materials, they simply shine a laser at a tiny circular disc, producing stable swirling patterns in light that researchers believe could one day help power advanced data storage, communications, and computing technologies. - Share: Scientists at Nanyang Technological University, Singapore (NTU Singapore) have found a much simpler way to produce unusual light structures known as optical skyrmions by reviving a classic optics experiment that dates back more than 200 years. Optical skyrmions are tiny, stable swirling patterns formed within the properties of light. Their structure has often been compared to the spines of a hedgehog. Because they can potentially encode and store information, researchers see them as promising building blocks for future data storage, communications, and computing technologies. Instead of relying on expensive, highly engineered metamaterials that have traditionally been needed to generate optical skyrmions, the NTU team created them by shining a laser at a small circular disc. The approach provides a far simpler way to produce, study, and control these complex light structures. The findings, published in the journal Optica, were led by Nanyang Assistant Professor Shen Yijie from NTU's School of Physical and Mathematical Sciences and School of Electrical and Electronic Engineering. "What is remarkable is that optical skyrmions can now be generated using a simple effect where light bends around an
Jul 13, 2026 · via sciencedaily.com
Physicists say quantum mechanics may not need imaginary numbers after all - Date: - July 13, 2026 - Source: - Heinrich-Heine University Duesseldorf - Summary: - Physicists from Heinrich Heine University Düsseldorf (HHU) have examined a fundamental property of quantum mechanics in collaboration with the German Aerospace Center (DLR). In the scientific journal Physical Review Letters, they show that this theory does not necessarily need to be formulated with imaginary numbers – real numbers can in fact also be used. The American Physical Society has also dedicated a “Highlight” to these findings in its Physics Magazine. - Share: Quantum mechanics is the branch of physics that explains how matter and energy behave at the atomic and sub atomic scale. Developed in the early 1900s by pioneers including Max Planck, Niels Bohr, Werner Heisenberg, and Erwin Schrödinger, it has become one of the most successful scientific theories ever created. The theory accurately describes a wide range of microscopic phenomena. These include the famous double slit experiment, in which particles also display wave like behavior, and quantum tunneling, where particles have a probability of passing through a barrier even when they do not have enough energy to overcome it in the classical sense. Other key quantum effects, such as entanglement and coherence, now form the foundation of emerging technologies including quantum computing and quantum communication. Are Complex Numbers Really Essential? For decades, quantum mechanics has relied on complex numbers, which combine a real component with an imaginary component. In the mathematical description of a quantum state, the real part represents the amplitude, while the imaginary part represents the phase. This framework has long been considered essential for describing many quantum processes. Even so, physicists have continued to debate whether complex numbers are truly a fundamental part of nature or simply a convenient
Jul 13, 2026 · via sciencedaily.com
- | 10:00 am Rajat Taneja on building Visa’s defense for the agentic era Visa's President of Technology on fraud models, VVAH, and getting ahead of the quantum threat Every fraud model Visa runs is built to keep moving. As commerce shifts toward agents transacting on a person’s behalf, that constant evolution faces its biggest test yet, one where the credential being protected is no longer just a card, but the authority a person has handed to a piece of software. Rajat Taneja, President of Technology at Visa, spoke to Fast Company Middle East in an exclusive conversation on the eve of the Visa Payments Forum in Paris, the company’s flagship European gathering held at the Paris Convention Center on July 1 and 2. He outlined how Visa is reshaping its technology stack to address a rapidly evolving threat environment, from fraud detection and the newly public Visa Vulnerability Agentic Harness, or VVAH, to preparing for the impact quantum computing could eventually have on encryption. Taneja also discussed the changes that occur when consumers delegate authority to AI agents, how Visa is using AI to defend against increasingly sophisticated attacks, and why cybersecurity and payment security are converging. ADAPTIVE FRAUD DEFENSE Fraud models at Visa are never static, Taneja says, comparing them to living systems that train and adapt continuously as new scams emerge around whatever is trending at the time. “Think of them as living organisms. They are AI-based, and they’re constantly training, learning, and evolving,” he says. “Just like the bad guys are changing their techniques and using technology in new and different ways, there are scams that take birth based on topical use cases that are happening.” That same dynamism extends to agentic commerce, where data and underlying mathematics are continually fine-tuned to keep pace with attackers.
Jul 13, 2026 · via fastcompanyme.com
QAI Ventures launched the inaugural cohort of its Singapore Quantum Accelerator, a five-month program that aims to accelerate quantum and advanced computing ventures into the APAC market and is backed by Enterprise Singapore. “Singapore made an early and patient bet on quantum, and that foundation is now translating into a commercial opportunity that is maturing,” said Alexandra Beckstein, CEO of QAI Ventures. “This cohort brings together some of the most technically advanced startups in the world, and our job is to help them build businesses that compete globally from Singapore.” Singapore Quantum Accelerator Four deep-tech startups have been selected from QAI Ventures’ inaugural Singapore cohort, out of 63 applications from 12 countries, all aiming to enter the APAC market. Each receives a SGD 300,000 investment package, in-person masterclasses, coaching, and access to QAI Ventures’ worldwide network. The four companies include: - Quantum Logic (Netherlands): A computer chip maker for quantum computers - Qualia Therapeutics (Armenia): Creator of AI-powered tools to help treat certain brain conditions (stroke, depression) - QPICs (United States): maker of Quantum Photonic Integrated Circuits, tiny chips that use light to send data - Regenesis Materials (Indonesia): the company that turns trash into sustainable materials and installs ocean barriers to prevent ocean plastic pollution “Singapore has built a strong foundation in quantum science and deep-tech innovation. The next phase is to build globally competitive, best-in-class quantum companies. By complementing QAI Ventures’ venture-building efforts with a dedicated accelerator in Singapore, this program creates a launchpad for international quantum startups entering the region, while giving local founders the networks, capital and commercial support to scale from Singapore into Asia and beyond,” said Sophia Ng, executive director, Startup Ecosystem, Enterprise Singapore.
Jul 13, 2026 · via futurecio.tech
Sign up for exclusive news and analysis of the rapidly evolving ETF landscape. Let’s take a trip down memory lane. The Roundhill Memory ETF (DRAM) made history after its April launch, attracting more than $23 billion of net flows, the fastest exchange-traded fund to pull such numbers. The fund gives investors hard-to-find access to the biggest names in the memory chip manufacturing industry, including Korean companies that were previously difficult to invest in directly. Since then, several other memory funds have launched, with differing strategies all looking to grab a piece of the action. While the segment has been one of the best performers of the year, the recent US listing of Korean chipmaker SK Hynix may siphon some assets that would have otherwise flowed into these ETFs. “SK Hynix, maybe, changes the game,” said Todd Rosenbluth, head of research at VettaFi, now that investors can buy the stock directly. “A lot of money went into space ETFs in advance of SpaceX listing, and some of that money has flowed out because it was short-term investments.” Cache Me If You Can Artificial intelligence relies on massive amounts of memory to power large language models, and as models improve, they need more of it to process data in real time. Three companies dominate memory chip manufacturing: Micron, the only American player, and Korean rivals Samsung and SK Hynix. The high demand has created a bottleneck in the AI infrastructure buildout. “These three companies have extreme pricing power,” said Howard Chan, CEO and co-founder of Kurv, which recently launched its own memory ETF. “Because of this huge demand, supply for most of what they call HBM, high-bandwidth memory, has been sold out until the end of 2027. Flows will continue to come into the space because this bottleneck isn’t an issue that’s
Jul 13, 2026 · via thedailyupside.com
Scientists at the University of Bordeaux, Jean Gasnier and Virgile Guémard, have investigated a new approach to quantum error correction utilising quantum group codes derived from classical quasi-group codes. They demonstrate a framework supporting transversal multi-control-$Z$ gates that are both addressable and parallelizable, enabling efficient implementation of circuits utilising non-Clifford gates. A lifting procedure constructs quantum group codes with improved decoding complexity, featuring a quasi-quadratic time decoder compared to the cubic-time decoders of previous quantum AG codes, and enhanced parallelizability of logical multi-control-$Z$ gates. These advancements promise a near-linear reduction in the time complexity of current magic-state distillation protocols. Quasi-quadratic decoding unlocks scalable quantum error correction and faster distillation protocols Decoding complexity for quantum group codes has been reduced to quasi-quadratic time, representing a substantial leap in efficiency. Prior cubic-time decoders severely limited the size of codes practically implementable, hindering the scalability of quantum error correction and restricting the complexity of quantum algorithms that could be reliably executed. The computational cost of decoding scales rapidly with the size of the quantum code and the number of qubits involved; a cubic-time decoder implies that doubling the code size increases the decoding time by a factor of eight. This presents a significant bottleneck for building large-scale, fault-tolerant quantum computers. A novel lifting procedure, applied to classical algebraic geometry (AG) codes, overcomes this significant bottleneck. AG codes are a well-established class of classical error-correcting codes known for their strong performance and relatively simple decoding algorithms. The lifting procedure effectively translates the properties of these classical codes into the quantum realm, creating quantum group codes with favourable characteristics. The resultant codes support transversal multi-control-Z gates, crucial for universal quantum computation, and exhibit enhanced parallelizability, allowing for faster execution of complex quantum circuits. Transversality is a key property, meaning that the gate can be applied
Jul 13, 2026 · via quantumzeitgeist.com
The proof-of-concept device hides nano-Morse messages inside tubular DNA structures, then uses molecular keys and AFM imaging to verify and decode them. Paper: A multiple-encrypted DNA device for secure communication. Image credit: AI-generated image created using ChatGPT/OpenAI In a recent research article published in the journal Science Advances, researchers developed a laboratory-scale, proof-of-concept multilayer deoxyribonucleic acid (DNA) origami encryption device that integrates multiple cryptographic functions to demonstrate confidentiality, integrity, and authenticity within a molecular communication workflow. DNA Cryptography and Nano-Morse The rapid evolution of computing and cryptographic technologies has heightened concerns over conventional data security. Traditional encryption methods, relying largely on complex mathematical problems, could face future threats if sufficiently capable quantum computers and practical quantum algorithms are developed. As a result, alternative molecular-level cryptographic systems have garnered attention. DNA, with its enormous information storage capacity, programmability, and nanostructural versatility, offers a unique platform for secure communication. DNA nanotechnology, especially DNA origami, enables the precise spatial arrangement of molecular features, presenting an opportunity to encode information not only via DNA sequence but also through structural configurations. Integrating multiple encryption protocols into a coherent DNA origami-based communication system, however, poses significant challenges. DNA Origami Encoding Design At the core of this study is the design of a DNA multilayer encryption (DMLE) device that exploits rectangular DNA origami substrates to encode messages as nano-Morse code. The nano-Morse code is established by spatially mapping Morse symbols onto the origami surface. Dots are represented by paired dumbbell-shaped DNA bulge loops anchored on specific staple strands, spaces by vacant regions, and dashes by double-stranded DNA paths formed through localized hybridization chain reactions (HCRs). A comprehensive nano-Morse codebook mapping numerical digits and letters of the alphabet to these structural patterns was created. Multiple rectangular DNA origami substrates bearing encoded symbols were interconnected through elongated staples to
Jul 13, 2026 · via azonano.com
Opinion: As AI hits an infrastructure wall, quantum technologies could help Australia seize its next big tech opportunity, argues Petra Andrén. The next phase of the AI economy will be determined more by infrastructure than by algorithms. As AI powers increasingly large and compute-intensive models across logistics, supply chains, finance, and more, its limits will be defined by what we can power, cool, and physically build. Demand for compute, storage, and advanced analytics in data centres around the world is accelerating faster than the infrastructure required to support it. As a result, the economics of digital growth are transforming rapidly, too. For decades, advances in computing came from scaling hardware and improving efficiency. Now, where we can build infrastructure and how quickly we can scale it increasingly shape progress. This in turn determines which regions become or remain competitive. Unless we fundamentally improve how we optimise these complex systems, scaling AI will become more expensive. So too will its demand for energy and physical systems. The good news is that another emerging technology has the potential to address these growing infrastructure requirements. Furthermore, it is in the process of shifting from research-driven capability to practical application. Where quantum comes in Quantum computing uses quantum bits (“qubits”) to solve certain highly complex problems faster than the most powerful classical supercomputers. It could help tackle larger and more complex optimisation and simulation challenges than today’s computers can handle. This is especially the case where they must rely on estimates or shortcuts. In data centres and energy networks, this could change how operators allocate workloads, distribute power and manage systems under stress. In short, it could help run AI infrastructure more efficiently, reliably, and sustainably. But quantum computing is not the only quantum technology that is relevant to AI. Quantum sensing uses quantum
Jul 13, 2026 · via forbes.com.au
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Jul 13, 2026 · via youtube.com
Price movement over the last 24 hours Amgen, Inc. vs Rigetti Computing Inc — how do they compare? Amgen, Inc. trades at $363.66 (market cap $196.12B), while Rigetti Computing Inc trades at $16.37 (market cap $5.50B). The key difference: Amgen, Inc. is far larger — about 35.7× Rigetti Computing Inc's market cap, and Amgen, Inc. pays a 2.77% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals. | AMGN | RGTI | | |---|---|---| | Market Cap | $196.12B | $5.50B | | Sector | Health | Technology | | 52-Week High | $388.16 | $56.34 | | 52-Week Low | $271.18 | $12.18 | | Enterprise Value | $241.41B | $5.09B | | Dividend Yield | 2.77% | — | Signals from Pluang's Aura AI — not financial advice AMGN trades at $363.39, down slightly by 0.06% today, with a bullish technical signal from moving averages. The company reported strong Q1 2026 earnings, beating estimates with EPS of $5.15 versus $4.77 expected. Revenue grew to $36.75B in 2025, with a net income margin of 20.96%. Recent news includes a favorable court ruling blocking a price cap on Enbrel in Colorado, but regulatory challenges persist for Tavneos in Europe. The outlook remains positive due to consistent earnings beats and a diversified product portfolio, though risks include regulatory setbacks and competitive pressures. Analyst consensus is bullish with a 57.9% buy rating and a price target of $357.38, slightly below the current price, indicating potential for stability with upside from pipeline developments. Rigetti Computing (RGTI) trades at $16.54, down 2.65% on the day, with a bearish technical signal despite recent earnings beats. The company shows severe financial strain with a net income margin of -2,253.59% and negative cash flow from operations of -$58.54M in 2025,
Jul 12, 2026 · via pluang.com
The breach that has already happened Most New Zealand coverage of quantum computing treats it as a future tech curiosity. That framing is wrong, and dangerously so. The attack is underway right now. It is called harvest now, decrypt later (HNDL), and the model is brutally simple: adversaries, including state-backed actors, are already stealing encrypted data and warehousing it until quantum machines are powerful enough to unlock it. If your business holds anything that must stay confidential for years – customer records, health data, legal files, intellectual property, identity documents – the breach window has already opened. The encryption protecting that data today is not a permanent lock. It is a timer. As Brandon Hutcheson, Director of Quantum at HSO, put it writing for the Institute of Directors, “Quantum computing doesn’t only create new opportunities for breaches – it exposes those you’ve already had.” The stolen data “remains encrypted and unusable, but it becomes readable in the future.” AI just moved the deadline forward The reason this story is live now is the convergence of AI and quantum. AI is being used to help quantum computing clear the technical barriers that once gave security planners a comfortable runway. That runway is collapsing. Google has warned that quantum computers could break some of the cryptographic systems underpinning most internet transactions as early as 2029. The original estimate for so-called Q-Day was 2035. Tellingly, Microsoft has already pulled its own internal quantum-safe transition deadline forward from 2032 to 2029. When the companies building the machines accelerate their own defences, that is the signal that matters. Paul Quickenden, country manager at crypto firm Swyftx, framed the strategic point cleanly: “Quantum is an exponential technology. It’s not a problem until it is.” The sceptic’s line – that no fully capable quantum computer exists yet
Jul 12, 2026 · via b2bnews.co.nz
Quantum computers are developing at pace and expected to be able to decrypt all manner of digital security systems much sooner than anticipated - perhaps in three years. Crypto currency firm Swyftx said the encryption protecting New Zealanders' money, medical records and government data could be vulnerable sooner than expected as artificial intelligence accelerates the development of quantum computing. Google recently warned quantum computers could be capable of breaking some of the cryptographic systems used in most internet transactions as early as 2029, as AI was helping to overcome technical barriers that once slowed quantum development. "Quantum is an exponential technology. It's not a problem until it is," Swyftx country manager Paul Quickenden said, adding the threat was closing in "faster than originally forecast." Quantum computers were expected to become capable of breaking common encryption systems by 2035, otherwise know as the year to quantum (Y2Q), but no longer. "The problem with quantum computing is that it is not a change that slowly arrives over time. On a single day, actually called Q-day, everything changes, and what once was secure is no longer," Quickenden said. "The threat is credible enough that responsible organisations should be acting now." Cybersecurity experts long warned sufficiently advanced quantum machines could break widely used encryption methods, including systems based on RSA and elliptic curve cryptography, which were used to secure online banking, encrypted communications, blockchain wallets and government data transfers. "If that encryption is broken, it is not broken in one sector or one country. It becomes a global issue," Quickenden said. The issue was not limited to digital currencies, as the same types of cryptography were used to protect communications, banking apps, access to government platforms, payment systems, health records, private communications and digital identity. The risk to the cryptocurrency sector was more immediate
Jul 12, 2026 · via rnz.co.nz
IBM Chairman and CEO Arvind Krishna has confirmed that the greenfield city of Amaravati will host one of the first two physical IBM quantum computers deployed on-shore in India. Targeted for full operational commissioning by September 2026, the hardware deployment represents a key anchor transaction for the state of Andhra Pradesh’s Quantum Valley initiative. IBM is currently building one of India's first physical quantum computers in Amaravati, Andhra Pradesh. Targeted for launch by September 2026, it features a powerful 156-qubit Heron processor. The system will anchor the new Quantum Valley Tech Park. The on-premises installation aims to position the regional capital as the country’s primary deep-tech innovation hub, shifting India’s role in the sector from purely a remote consumer of cloud-routed compute blocks to a localized sovereign developer of physical quantum hardware. The setup is an IBM Quantum System Two. It uses subatomic particles to solve math problems that regular computers cannot do.The Location: It will be housed in the Quantum Valley Tech Park in Amaravati. The city was chosen because of India's large talent pool in math and physics. IBM is teaming up with Tata Consultancy Services (TCS) and the state government. They also opened the Amaravati Quantum Reference Facility to help students and startups train with quantum tools.The Goals: The computer will help researchers in healthcare, cybersecurity, and finance. It will allow Indian scientists to develop technology locally instead of using cloud servers in other countries.
Jul 12, 2026 · via dqindia.com
As a path has opened for human-derived fat, which had been entirely incinerated as medical waste, to be used in developing pharmaceuticals and medical devices, Korea's regenerative medicine industry is at a turning point. The bio and medical communities say that as the foundation for securing key raw materials for regenerative medicine expands, competition to develop next-generation skin boosters (procedures or products that inject active ingredients into the skin to improve elasticity and hydration) and tissue regeneration products will intensify. According to the National Assembly and the medical community on the 13th, the National Assembly last month passed an amendment to the Wastes Control Act allowing the medical reuse of human-derived fat. Previously, only placentas could be reused for medical purposes, but now, under standards set by presidential decree, there is a legal basis to use human-derived fat for research and development of pharmaceuticals and medical devices. The amendment will take effect one year after promulgation. Observers say the legal revision goes beyond merely changing how medical waste is handled. Human-derived fat contains various biological components used in tissue regeneration, such as ECM, collagen, growth factors, and adipose-derived stem cells (ADSC), making it a key raw material in regenerative medicine and tissue engineering. This opens the way for fatty tissue, which had been classified as medical waste and mostly incinerated, to be used as a bio material going forward. In particular, the industry is focusing on the potential shift in the raw material landscape of regenerative medicine due to the legal revision. Until now, domestic ECM-based products have mainly been developed using human-derived acellular dermal matrix (hADM). With a legal basis now in place to use adipose-derived ECM, some expect development of next-generation regenerative medicine materials to accelerate. The industry expects the legal change to affect the fast-growing skin booster
Jul 12, 2026 · via biz.chosun.com
Researchers at the University of Maryland, Baltimore County and the University of Malta have demonstrated a variational quantum algorithm for preparing Gibbs states, representing probabilities of different energy levels, on IonQ’s quantum computers. The team trained the algorithm using classical simulation before implementing it on the quantum hardware and evaluating the resulting state fidelity through state tomography. A theoretical proposal for this approach appeared in 2021, and an implementation on Quantinuum hardware was demonstrated in 2025. They found that fidelity decreases as a function of the inverse temperature β of the system, and also decreases as a function of the size of the system. Interestingly, a Gibbs state prepared for a specified β is a better representative of a Gibbs state prepared for a lower β, suggesting that thermal fluctuations in the quantum hardware lead to an increase in the temperature of the prepared Gibbs state above what was intended. Variational Gibbs State Preparation with Trapped-Ion Devices Quantum simulations are expanding beyond superconducting circuits, with trapped-ion devices now demonstrating the ability to prepare complex quantum states. This achievement broadens the toolkit for simulating complex systems, offering an alternative to superconducting qubits. The team employed a variational quantum algorithm originally developed by Consiglio et al., previously demonstrated on superconducting hardware. A key advantage of trapped-ion systems is their full connectivity, eliminating the need for complex “SWAP” operations, often a source of error in other architectures, to map the algorithm onto the hardware. This direct mapping allows for a more compact and efficient implementation. Instead, the team found that fidelity decreases as a function of the inverse temperature β of the system, revealing a relationship between thermal parameters and state preparation accuracy. Fidelity also decreases as a function of the size of the system, highlighting a current limitation in scaling up quantum
Jul 12, 2026 · via quantumzeitgeist.com
Two Israeli quantum startups target Wall Street in multibillion-dollar SPAC deals Quantum Art and Classiq are seeking valuations of up to $5 billion as investor enthusiasm for quantum computing fuels a new IPO wave. It was perhaps only a matter of time. As investor enthusiasm for quantum computing accelerates, Israeli startups are also seeking to capitalize on the boom. Calcalist has learned that two Israeli quantum computing companies, Quantum Art and Classiq, are in advanced negotiations to go public on Wall Street through mergers with special purpose acquisition companies (SPACs). The companies are targeting valuations of between $2 billion and $5 billion each, according to people familiar with the discussions. Both companies declined to comment. According to industry sources, roughly 30 SPACs are currently searching for acquisition targets in the quantum computing sector, including the Israeli SPAC founded by Tom Livne and Eyal Waldman, which recently raised $172 million. Quantum Art, which is developing a full-scale quantum computer based on trapped-ion technology, is further advanced in the process. Classiq, which is building an operating system for quantum computers that could become the industry's equivalent of Microsoft Windows, is also considering another private fundraising round before pursuing a public listing in an effort to secure a higher valuation. Both companies are already working with investment banks, and a decision is expected in the coming weeks. If the plans proceed, Quantum Art could become the first Israeli quantum computing company to list on Wall Street, potentially before the end of 2026. Quantum Art was founded in 2022 as a spin-off from Prof. Roee Ozeri's group at the Weizmann Institute of Science. Quantum Art’s leadership team includes internationally recognized experts in trapped-ion quantum computing, large-scale system engineering, and quantum market strategy. The company, founded by Dr. Tal David (CEO), Dr. Amit Ben Kish
Jul 12, 2026 · via calcalistech.com
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Jul 12, 2026 · via ft.com
6-minute read | 900 words Subscribe to the newsletter to receive this issue in your inbox every Sunday. Preparing space for Q-day. Host Maria Varmazis and Eddy Zervigon, CEO of Quantum XChange discuss how quantum computing is going to impact the space industry. Unlike with previous technologies and advancements, the space industry is taking a more proactive approach to quantum computing as stakeholders invest in and manage rapidly-accelerating cyber and operational risks. Subscribe and listen to the conversation now. Space after quantum. This week on T-Minus: Space-Cyber Briefing: we look at how the space sector is preparing itself for quantum computing. While practical quantum computing has long seemed just over the horizon, governments and commercial space operators alike are now actively preparing for the day when quantum computing becomes capable of breaking widely used public-key cryptography. Does this newsletter spark questions for you? Write to us at space@n2k.com to guide how we’ll continue to explore the role of quantum computing in space in future podcast episodes and newsletter issues. The quantum impact. For decades, quantum computing has largely been viewed as an emerging technology that remained years away from practical deployment. Today, rapid advances in hardware, software, and investments have shifted this conversation from whether quantum computing will reshape the industry to how quickly organizations need to start preparing for quantum’s arrival. Space systems face a unique challenge because many satellites are designed to operate for decades after launch, often with limited opportunities to update their onboard software or hardware. Unlike terrestrial infrastructure, replacing vulnerable cryptography on orbit can be difficult, or in some cases, impossible. If quantum-capable adversaries are able to compromise the cryptographic systems that protect satellite communications, they could potentially intercept sensitive communications, spoof commands, manipulate telemetry, or inject malicious software updates into trusted systems. This concern
Jul 12, 2026 · via thecyberwire.com
Price movement over the last 24 hours Amazon.com Inc vs Quantum Computing Inc — how do they compare? Amazon.com Inc trades at $245.34 (market cap $2.64T), while Quantum Computing Inc trades at $8.66 (market cap $1.95B). The key difference: Amazon.com Inc is far larger — about 1353.8× Quantum Computing Inc's market cap, and Amazon.com Inc is trading nearer its 52-week high, Quantum Computing Inc nearer its low. Which is the better fit depends on your goals. | AMZN | QUBT | | |---|---|---| | Market Cap | $2.64T | $1.95B | | Volume | 3,931,282 | — | | Sector | Consumer Cyclical | Technology | | 52-Week High | $274.95 | $24.62 | | 52-Week Low | $198.79 | $6.31 | | Enterprise Value | $2.71T | $970.72M | Signals from Pluang's Aura AI — not financial advice Amazon (AMZN) trades at $245.34, down 0.69% on the day, with a bullish technical outlook supported by strong moving averages and key resistance at $250. Fundamentally, the company shows robust growth with 2025 revenue of $716.92 billion and net income of $77.67 billion, though heavy investing cash outflows continue. Recent news highlights CEO Andy Jassy's optimistic AI and AWS commentary, fueling positive investor sentiment. The outlook remains favorable given Amazon's earnings beats, expanding profit margins, and dominant market position. Risks include intense competition and high capital expenditures. With 88.3% of analysts rating it Buy and a consensus price target of $320.75, the stock presents a growth opportunity tempered by execution and macroeconomic risks. No Aura AI signal available yet. Trailing returns across standard periods Latest headlines on both assets Amazon.com, Inc. is an online retailer that offers a wide range of products. The Company products include books, music, computers, electronics and numerous other products. Amazon offers personalized shopping services, Web-based credit
Jul 12, 2026 · via pluang.com