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AI is accelerating <b>quantum computing</b> - could our data be vulnerable?

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

IBM likely to launch <b>quantum computer</b> in Amaravati by Sep. 2026

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.

Korea opens human fat reuse, ignites regenerative medicine and skin booster race

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

Variational Algorithm Prepares Gibbs States On IonQ <b>Computers</b>

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

Two Israeli <b>quantum</b> startups target Wall Street in multibillion-dollar SPAC deals | Ctech

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

<b>Quantum</b> is exciting, but watch out for the Schrödinger's cat bounce

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Space after <b>quantum</b>.

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

Compare Amazon.com Inc (AMZN) vs <b>Quantum Computing</b> Inc (QUBT) Price &amp; Performance

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

Google Uses AI to Manage <b>Quantum</b> Processor Willow

Google Uses AI to Manage Quantum Processor Willow Google uses AI to manage quantum processor Willow. Researchers at Google Quantum AI have employed reinforcement learning to manage the quantum processor Willow. The AI continuously adjusts the chip’s operational parameters, compensating for errors and helping maintain computational stability. This approach reduces the need for manual tuning and could be a significant step toward creating fault-tolerant quantum computers, where software automatically supports the operation of complex quantum systems. Found a mistake in the text? Select it and press CTRL+ENTER

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Two-Stage Pulse Tube Cryocoolers Market Growth to Accelerate by 2035 Amid Rising ...

World Two-Stage Pulse Tube Cryocoolers - Market Analysis, Forecast, Size, Trends and Insights - Full report in PDF · Excel data package · Word document · Executive presentation - Email delivery 24/7 any day, weekends and holidays included - Content copy-paste enabled · printable format - Unlimited clarification rounds after delivery Two-Stage Pulse Tube Cryocoolers Market Forecast Points Higher Toward 2035, Driven by Quantum Computing and Semiconductor Expansion Abstract According to the latest IndexBox report on the global Two-Stage Pulse Tube Cryocoolers market, the market enters 2026 with broader demand fundamentals, more disciplined procurement behavior, and a more regionally diversified supply architecture. The world Two-Stage Pulse Tube Cryocoolers market is entering a period of sustained expansion, with demand projected to grow at a compound annual rate of 6–9% between 2026 and 2035. These closed-cycle cryogenic devices, capable of reaching temperatures below 10 K without moving displacers, are increasingly critical in high-value applications where low vibration, long maintenance intervals, and high reliability are non-negotiable. The market is being reshaped by the rapid commercialization of quantum computing, the scaling of semiconductor wafer inspection tools, and the proliferation of advanced scientific instrumentation in fields such as radio astronomy and materials research. System-level pricing for standard configurations ranges from USD 80,000 to USD 250,000 per unit, with integrated systems representing roughly 60–70% of market value. Import dependence remains structurally high outside the main manufacturing hubs—the United States, Japan, Germany, and Finland—with an estimated 60–70% of global procurement sourced across borders, making supply chain resilience a critical strategic factor. Aftermarket services, including preventive maintenance, helium reclamation, and spare-parts provisioning, are growing at 8–10% per year as the installed base matures. Key challenges include high upfront capital expenditure, long qualification cycles of 6–18 months, and a shortage of qualified cryogenic engineers in emerging markets. This report

Okada And Colleagues Develop Rate-2/3 <b>Quantum</b> LDPC Code For Enhanced Error Correction

A new quantum low-density parity-check (LDPC) code offers promising advancements in quantum error correction. Koki Okada and Kenta Kasai from Institute of Science Tokyo have constructed a rate-2/3 code with parameters [[34542, 23032, d ≤ 310]] using a (3,18)-regular two-branch finite-field base and a circulant-permutation-matrix (CPM) lift. This construction yields a Calderbank-Shor-Steane (CSS) code with a girth of 8, demonstrating improved structural properties and potential for efficient decoding. Decoder experiments reveal no failures in a substantial number of trials, and finite-length frame error rate sweeps suggest a strong performance threshold, signifying a step towards more reliable quantum communication and computation. Enhanced stability in quantum error correction via a high-performance LDPC code Decoder experiments revealed no failures in 108 trials at a perturbation level of p=0.01, a substantial improvement over previous quantum low-density parity-check (LDPC) codes. Prior designs struggled to maintain stability at this scale, but this success indicates a strong performance threshold. A rate-2/3 CSS construction with a length of 34542, utilising a two-branch finite-field base and a circulant-permutation-matrix lift, achieves this enhanced stability and represents a major leap in error durability. Quantum error correction is crucial for building practical quantum computers, as qubits are inherently susceptible to decoherence and other noise sources. LDPC codes, known for their effectiveness in classical communication, are increasingly being adapted for quantum applications due to their ability to correct errors with relatively low overhead. The development of codes with higher thresholds, like this rate-2/3 code, is essential for mitigating the effects of noise and enabling fault-tolerant quantum computation. The rate-2/3 CSS construction, with a length of 34542, employs a two-branch finite-field base and a circulant-permutation-matrix lift of degree 101 to ensure durability. Base matrices possess a row weight of 18 and a column weight of 3, and the associated Tanner graphs exhibit a girth

Product Reviews Content Creator &amp; Influencer Scott Steinberg

11 Jul PRODUCT REVIEWS CONTENT CREATOR, TESTER AND INFLUENCER – TOP THOUGHT LEADER & SPEAKER Product reviews content creators are influencers, journalists, bloggers, YouTubers, podcasters, social media personalities, and industry experts who evaluate products and share their experiences with audiences. Output helps consumers make informed purchasing decisions, with the best product reviews content creators also providing brands with valuable exposure, credibility, and customer feedback. Today’s consumers rarely make significant purchases without first researching evaluations. Whether buying software, electronics, beauty products, automobiles, kitchen appliances, business services, or consumer goods, people increasingly rely on trusted top product reviews content creators who offer honest evaluations, demonstrations, comparisons, and recommendations. For brands, partnering with UGC pros and influencers has become a big part of modern marketing. Authentic work can generate awareness, improve search visibility, build trust, and influence purchasing decisions across multiple platforms. What Is a Product Review Content Creator? Famous product reviews content creators are individuals or media organizations that independently or collaboratively evaluate items and share insights through digital content. Reviews may include: - Written articles - Blog posts - Video reviews - Social media posts - Podcasts - Live streams - Product demonstrations - Comparison guides - Buying guides - Unboxing videos - Tutorials - Long-term product testing The aim of celebrity product reviews content creators is to educate consumers by highlighting features, benefits, drawbacks, performance, and overall value. Why Product Review Content Matters Consumers trust independent opinions more than traditional advertising. A well-produced product review provides transparency that helps buyers feel confident before making a purchase. Benefits include: - Increased consumer confidence - Better-informed purchasing decisions - Greater brand awareness - Higher search engine visibility - Authentic customer engagement - Improved product credibility - Stronger social proof - Increased conversion rates Work by global product reviews content creators also provides

Resonator-Photon Link Drives Qubit Dephasing, KRISS Finds

Researchers at the Korea Research Institute of Standards and Science (KRISS) have pinpointed how coherent photons directly erode quantum coherence in superconducting qubits, revealing a degradation pattern tied to the qubit’s interaction with its resonator. Their measurements demonstrate the dephasing profile closely follows the resonator’s spectral characteristics, establishing a direct link between qubit coherence loss and the resonator itself. The team reports that measurements show the dephasing profile across photon frequencies closely follows the resonator’s spectral characteristics, highlighting the relationship between these quantum components. Dynamical decoupling proved robust in mitigating this coherence decay, performing effectively under a wide range of photon conditions and suggesting a versatile solution for multiple types of photon-induced noise. This degradation of quantum information is directly linked to the resonator’s spectral properties, and is not simply background noise. The study, published in Physics Applied, specifically investigated how both the frequency and number of coherent photons impact qubit performance, revealing that these photons directly influence quantum coherence degradation. Dynamical decoupling, a technique to protect qubits from environmental noise, proved remarkably effective. This resilience is crucial because the researchers note this technique can address ac Stark shifts and additional photon-mediated dephasing mechanisms, offering a promising pathway toward more stable and reliable superconducting quantum computers. The findings underscore the importance of carefully characterizing and controlling resonator properties in future qubit designs. This finding establishes a clear link between how the qubit interacts with its surrounding environment and the resulting loss of quantum information. This versatility extends to addressing issues like ac Stark shifts and additional photon-mediated dephasing, broadening the potential applications of this protective measure and suggesting improvements to superconducting quantum computer stability.

Researchers Have Demonstrated A Complete, Multi-stage Attack Against A <b>Quantum</b> Neural Network

Researchers have demonstrated a complete, multi-stage attack against a quantum neural network, moving beyond isolated vulnerability studies to showcase a realistic threat scenario. The team, comprised of Cedric Brügmann, Daniel Herr, Daniel Ohl de Mello, and colleagues, successfully combined reconnaissance, crosstalk characterization, adversarial example generation, and a physical attack, all on a trapped-ion quantum computer. This end-to-end “kill-chain” highlights how an adversary can leverage information gathered during initial reconnaissance to refine subsequent attack stages, a critical consideration for quantum-as-a-service providers and multi-tenant environments. As the authors note, this work builds on an extensive review of the literature to align existing quantum machine learning attack vectors with the MITRE ATLAS framework, revealing the interconnectedness of hardware weaknesses and data manipulation techniques. Corresponding experiments were also reported on superconducting hardware in the appendix. Trapped-Ion Hardware for Quantum Neural Network Attacks Researchers detailed how information gleaned during initial reconnaissance phases directly improved the effectiveness of subsequent attack stages, a key departure from prior isolated vulnerability studies. This layered approach simulates a realistic threat scenario, particularly relevant for quantum-as-a-service (QaaS) environments where multiple users share hardware resources. The team specifically targeted trapped-ion quantum computers, successfully executing their “kill-chain” attack and reporting the corresponding superconducting-hardware experiments in the appendix. This focus on trapped-ion systems highlights a specific hardware vulnerability, as side-channel attacks exploiting power traces and timing have previously been demonstrated on superconducting devices. However, the researchers extended this work to a different physical platform, demonstrating broader applicability of these techniques. The authors discuss how the work builds on an extensive review of the literature, emphasizing the end-to-end nature of their demonstration. Crucially, the attack vectors employed operate within the limitations of current noisy intermediate-scale quantum (NISQ) devices, meaning they do not rely on the existence of fault-tolerant quantum computers. This makes the demonstrated threats

Absence Of <b>Quantum</b> Advantage For Approximate Spin Glass Optimization

Researchers at the Flatiron Institute, Dries Sels (Boston University & Flatiron Institute) and Flaviano Morone (New York University), have discovered a relationship between a quantum algorithm’s performance and a fundamental parameter typically considered separate from optimization, spin. Their analysis of the quantum approximate optimization algorithm, or QAOA, reveals an optimal balance and convergence to a value similar to log(p)/p when the spin value (S) is approximately equal to the QAOA depth (p). This challenges the assumption that maximizing spin always improves performance, suggesting an efficient balance instead. The semiclassical approach slightly outperforms the true spin-1/2 QAOA, implying that a classical approximation can achieve comparable results. Removing initial noise and re-optimizing parameters then yields a convergence rate of 1/p. Sherrington-Kirkpatrick Model for QAOA Benchmarking The pursuit of quantum advantage in optimization problems has encountered a surprising challenge; recent analysis using the Sherrington-Kirkpatrick (SK) model reveals that a semiclassical approximation of the Quantum Approximate Optimization Algorithm (QAOA) can, in certain scenarios, outperform the true quantum version. Researchers Dries Sels and Flaviano Morone explored this result, questioning the assumption that maximizing quantum effects always yields superior performance. Their work, detailed in a recent preprint, centers on benchmarking QAOA against the notoriously difficult SK spin glass model, a system with all-to-all interactions between spins. The SK model’s well-defined lowest energy state, a value of -0.7631…, provides an ideal testing ground. The researchers employed the truncated Wigner approximation (TWA), a semiclassical method, to simulate QAOA’s dynamics. The study explains that the method is semiclassical because it is a saddle-point expansion of a path integral, relying on classical evolution with quantum fluctuations controlled by the spin value, S. This relationship is reflected in a convergence of the final energy to the Parisi value, following a pattern similar to log(p)/p. The team found that at small spin

Former Meta Engineer Flags Two 'Time Bombs' for Bitcoin: <b>Quantum Computing</b> and Falling ...

A former Meta engineer has publicly identified two structural vulnerabilities he believes could undermine Bitcoin’s long-term viability: the potential threat of quantum computing to the cryptocurrency’s encryption, and the economic challenge posed by declining block rewards for miners. The analysis, shared by TechLeadHD and reported by Wu Blockchain, adds a critical voice to ongoing debates about Bitcoin’s security model and its future as a decentralized financial system. Quantum Computing: A Looming Encryption Risk TechLeadHD, who previously worked as a software engineer at Meta, highlighted the advancement of quantum computers as a direct threat to the cryptographic security of Bitcoin wallets. Bitcoin relies on elliptic curve digital signature algorithms (ECDSA) to secure transactions and prove ownership. A sufficiently powerful quantum computer could theoretically break this encryption, allowing an attacker to derive private keys from public keys and potentially steal funds from active wallets. While practical quantum computers capable of such attacks are not yet a reality, the timeline for their development remains a subject of intense speculation within both the cryptography and cryptocurrency communities. The concern is not immediate, but the potential for a sudden, disruptive technological leap represents what TechLeadHD calls a ‘time bomb’—a risk that could detonate with little warning once the underlying technology matures. The Miner Incentive Problem: Beyond Block Rewards The second vulnerability identified by the former engineer is more immediate and economic in nature. Bitcoin’s security model depends on a decentralized network of miners who validate transactions and secure the blockchain. These miners are compensated through two mechanisms: newly minted bitcoins (the block reward) and transaction fees paid by users. Bitcoin’s supply is capped at 21 million coins, and the block reward is halved approximately every four years in an event known as the ‘halving.’ As the block reward shrinks, miners become increasingly dependent on transaction

Compare Aegon Ltd. (AEG) vs D Wave <b>Quantum</b> Inc (QBTS) Price &amp; Performance

Price movement over the last 24 hours Aegon Ltd. vs D Wave Quantum Inc — how do they compare? Aegon Ltd. trades at $8.8 (market cap $12.97B), while D Wave Quantum Inc trades at $20.08 (market cap $7.44B). The key difference: Aegon Ltd. is the larger of the two by market cap, and Aegon Ltd. pays a 5.27% dividend while D Wave Quantum Inc pays none. Which is the better fit depends on your goals. | AEG | QBTS | | |---|---|---| | Market Cap | $12.97B | $7.44B | | Sector | Financials | Technology | | 52-Week High | $8.80 | $44.78 | | 52-Week Low | $6.79 | $12.98 | | Enterprise Value | $14.10B | $6.90B | | Dividend Yield | 5.27% | — | Trailing returns across standard periods Aegon is a Netherlands-headquartered insurance company with core operations that stretch across the U.S., Netherlands, and United Kingdom. The business also holds peripheral ventures in Spain, Portugal, Brazil, and China. Read more on AEG →D-Wave Quantum Inc. is a global leader in the development and delivery of quantum computing systems, software, and services. The company specializes in annealing quantum computers designed to solve complex optimization problems across industries such as logistics, materials science, and financial modeling. D-Wave offers its technology through the cloud, allowing customers to build and run real-world quantum applications today, making it a key player in the commercialization of quantum computing. Read more on QBTS →

Promising <b>Quantum Computing</b> Stocks To Follow Today - July 11th

IonQ, D-Wave Quantum, Quantinuum, Quantum Computing, and Horizon Quantum Computing Pte. are the five Quantum Computing stocks to watch today, according to MarketBeat's stock screener tool. Quantum computing stocks are shares of publicly traded companies that develop quantum computing hardware, software, or related services, or that are expected to benefit from advances in quantum computing. For stock market investors, the term usually refers to speculative or growth-oriented investments tied to the potential commercialization of quantum technologies rather than companies with mature, widely deployed products. These companies had the highest dollar trading volume of any Quantum Computing stocks within the last several days. IonQ (IONQ) IonQ, Inc. engages in the development of general-purpose quantum computing systems in the United States. It sells access to quantum computers of various qubit capacities. The company makes access to its quantum computers through cloud platforms, such as Amazon Web Services (AWS) Amazon Braket, Microsoft's Azure Quantum, and Google's Cloud Marketplace, as well as through its cloud service. Read Our Latest Research Report on IONQ D-Wave Quantum (QBTS) D-Wave Quantum Inc. develops and delivers quantum computing systems, software, and services worldwide. The company offers Advantage, a fifth-generation quantum computer; Ocean, a suite of open-source python tools; and Leap, a cloud-based service that provides real-time access to a live quantum computer, as well as access to Advantage, hybrid solvers, the Ocean software development kit, live code, demos, learning resources, and a vibrant developer community. Read Our Latest Research Report on QBTS Quantinuum (QNT) Quantum computing is quickly evolving from research to early commercial adoption to address the insatiable need for computing power in the digital age. Even as classical computing continues to advance in energy-efficient performance, the huge computational demands of new applications such as artificial intelligence (“AI”) are making it challenging for classical computing to keep