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Apple Is Preparing M5 with SoIC for Future Macs and AI Servers – The Mac Observer

At WWDC last month, Apple finally announced its AI plans, which are expected to be the powerhouse of upcoming software updates including iOS 18, macOS 15 Sequoia, and so on.

Thats why Apple is gearing up to use more advanced and powerful chips, such as the M5 with SoIC (System on Integrated Chip) packaging to boost performance for both Macs and cloud-based AI servers. And once again, Apple will partner with Taiwan-based TSMC to meet its requirements, according to a report from Economic Daily.

As analyst Jeff Pu suggests Apples timeline may see AI servers equipped with the M4 chip by late 2025, potentially superseding current M2 Ultra chips used in AI cloud servers and originally designed for Mac devices. Meanwhile, hints about Apples upcoming M5 chip have already surfaced in official code, corroborating reports that work is ongoing, besides TSMCs 3nm process.

Apples AI cloud servers currently use several linked M2 Ultra chips, which were initially meant only for desktop Macs. When Apple switches to the M5 with SoIC, its advanced dual-purpose design suggests Apple is preparing for the future by integrating its supply chain to support AI across computers, cloud servers, and software.

TSMC introduced SoIC in 2018, letting chips stack up in 3D. This setup handles electricity and heat better than traditional flat designs. Apple and TSMC are teaming up to develop an even more advanced version of SoIC. Currently, its in testing, but the companies plan to start mass production of M5 for new Macs and AI servers by the second half of 2025.

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Storage news ticker July 1 Blocks and Files – Blocks & Files

Cloud-native data protector Alcion has joined Carnegie Mellons CyLab Venture Network as an inaugural startup partner. Several members of its leadership team including co-founders Niraj Tolia and Vaibhav Kamra are alumni of CMU.

Aston University researchers in the UK are part of a team that has sent data at a record rate of 402 terabits per second using commercially available optical fiber. This beats their previous record, announced in March 2024, of 301 terabits or 301,000,000 megabits per second using a single, standard optical fiber. The international research team included Professor Wladek Forysiak and Dr Ian Phillips who are members of the Universitys Aston Institute of Photonic Technologies (AIPT). Led by the Photonic Network Laboratory of the National Institute of Information and Communications Technology (NICT) based in Tokyo, Japan, also Nokia Bell Labs of the US.

The speed was achieved by using a wider spectrum, six wavelength bands (O, E, S, C, L, and U) rather than the previous four, which increased capacity for data sharing. Aston University contributed specifically by building a set of U-band Raman amplifiers the longest part of the combined wavelength spectrum where conventional doped fiber amplifiers are not presently available from commercial sources.

French DNA storage startup Biomemory has hired Dr Dominique Loque as its chief scientific officer. He comes from being head of R&D at Neoplants a synthetic biological tool maker for plant metabolic engineering. Loque worked at Bayer Crop Science before that. Biomemory has also added Chrystelle Roger, Steffen Hellmold, Olivier Lauvray, Thibault Vieille, and Raphal Maunier to its Advisory Board.

Erfane Arwani, CEO of Biomemory, said: In ten years, we anticipate the addressable market for DNA data storage to be around $10 billion. It will be essential to collaborate with the largest players in the data storage sector to meet the growing demand for high-density storage in datacenters while preserving our planet from excessive energy consumption.

Cirata, the rebranded active data replicator WANdisco, says that General Motors is proceeding to phase 2 under an existing master license agreement. Phase 2 will be transacted on the Azure Marketplace, which includes a 4PB data allowance and accompanying maintenance and support services, with a contract value of $490,733.

Cirata has released Data Migrator 2.5, which includes native integration with the Databricks Unity Catalog. It can be used to automate large-scale transfer of data and metadata from existing data lakes to cloud storage and database targets, even while changes are being made by the application at the source. Data Migrator 2.5 also supports IBMs General Parallel File System (GPFS) the cluster file system used as storage for IBM Spectrum Scale data lakes. This initiates data transfer from a source GPFS file system as changes occur, without disruption to the storage environment. It can be used for one-off cloud migrations, disaster recovery processes, and continuous data migration use cases. Migration targets supported include the Hadoop Distributed File System, Alibaba Cloud Object Storage Service, Amazon S3, Azure Data Lake Storage Gen 2, Google Cloud Storage, IBM Cloud Object Storage, and Oracle Object Store.

Data lakehouse supplier Cloudera has appointed Francisco Mateo-Sidron as SVP of sales for the EMEA region. He was previously SVP and GM for EMEA at Qlik for almost three years, with 25 years at SAP before that.

Data Protector Druva has made a February 2024 Gartner Enterprise Backup and Recovery Software Solutions voice of the customer document available for download. Naturally it features strongly in the report, being one of four chosen customer choices amongst the 11 suppliers mentioned. Download it here (registration required).

Data pipeline supplier Fivetran has been hired by customer service platform Intercom. It says Intercom can now centralize data from all its third-party sources, instantly placing reliable and secure data into the hands of analysts and other key business decision makers, while freeing up the companys data engineers so they have more time to focus on business-critical initiatives.

The FMS 2024 conference announced keynote sessions will be provided by FADU, Kixoia, KOVE, Micron, NEO Semiconductor, Phison, Samsung, Silicon Motion, SK hynix, and Western Digital. Jay Kramer, FMS keynote master of ceremonies, said: Attendees will hear about the latest memory and storage technology advances empowering emerging applications driven by AI, big data analytics, quantum computing, and 5G infrastructure.

Streaming data lake supplier Hydrolix has launched its Powered by Hydrolix Partner Program, saying partners can offer customers hot access to four times more data at a quarter of the cost. It was inspired, designed, and launched in the wake of a successful partnership with Akamai. Hydrolix joined the Akamai Qualified Cloud Compute Partner program in November 2023 and together the companies built the TrafficPeak managed observability service that is used by more than 100 companies worldwide.

Huawei Central reports that Huawei and Chinas Wuhan Xinxin (XMC) have a collaboration to build high bandwidth memory (HBM) chips, which are used to provide GPUs with fast access to more data than can be held in x86 server-socket DRAM. Currently, SK hynix and Samsung have a near 50:50 share of the HBM market, with Nvidia the dominant GPU supplier. Micron has entered the market as well and wants to grow its 34 percent share. GenAI training is sending GPU demand, and thus HBM demand, through the roof.

Reuters reports that NAND and SSD supplier Kioxia is to file a preliminary IPO application for its shares to be listed on the Tokyo Stock Exchange. Kioxia declined to comment. A consortium led by Bain has majority ownership of Kioxia, which has a NAND fabrication joint venture with Western Digital. Kioxia previously attempted an IPO in 2020 and a merger with Western Digital in 2023, which foundered due to opposition from Bain consortium member SK hynix. Now generative AI is helping to lead NAND market revenues out of a cyclical trough and an IPO looks possible again. Kioxias latest IPO plans emerged initially in April.

Data management supplier Reltio has appointed Mihir Shah to its advisory board. Shah was CEO at Storcentric, leaving in April. Storcentric was a mini-conglomerate operation, acquiring Vexata, Nexsan, and Drobo, and was itself bought by Serene Investment Management in February 2023. He became the founder and managing partner at Altos Equity and a board member at OtherWorld Computing.

Reltio announced the latest release of its Connected Data Platform with enhancements for its AI-powered offerings: Customer 360 Data Product, Multidomain MDM, and Entity Resolution. There are new velocity packs, additional audience-segmentation capabilities for Customer 360 Data Product, premium business continuity service featuring cross-regional disaster recovery and enhanced data resiliency, and expanded GenAI and ML capabilities.

Data protector and cyber resiliency business Rubrik has been named the Healthcare and Life Sciences 2024 Microsoft Partner of the Year.

Wedbush analyst Matt Bryson says Seagate appears to be continuing to reduce forward velocity of HAMR component requirements (seemingly pushing out a meaningful production ramp), while continuing to lift procurement of parts for 1822TB conventional drives.

Reuters reports that the SK Group will invest 103 trillion ($74.6 billion) through 2028 to strengthen its AI memory chips business, which includes building HBM chips. Wedbush analyst Matt Bryson suggests 80 percent of this investment is slated to be allocated towards HBM.

NAND supplier and SK hynix subsidiary Solidigm, working with the Storage Review media outlet, announced a new world record for the calculation of , surpassing both records they previously set in March 2024 and March 2023. They calculated to 202 trillion digits nearly doubling their most recent record of 105 trillion digits set earlier this year in March. Their system used nearly 1.5PB of storage across 28 Solidigm D5-P5336 61.44TB NVMe SSDs, in a Dell PowerEdge server powered by Intel Xeon CPUs. The calculation spanned an uninterrupted calculation period of 85 days about three months.

Swissbits new N2000 (Gen3 PCIe) and N3000 (Gen4 PCIe) DRAM-less SSD product families each have four lanes and are available in M.2 2230/2242/2280 form factors. The N2000 series offers storage capacities from 60 to 480GB with TLC technology. The spectrum of the N2600 with pSLC ranges from 20 to 160GB and offers an increased service life. The features are complemented by standard integrated security functions such as AES256 encryption, Crypto Erase, and TCG Opal 2.0. The N2000 family is ideal for green IoT applications such as charging stations, industrial applications, embedded systems, data logging, and boot OS scenarios.

The N3000 series is available in M.2 2242/2280 form factors with TLC technology and capacities ranging from 240 to 1,920GB. The same applies to the N3002 PLP series, which is available in the M.2 2280 form factor. The N3602 PLP series with pSLC technology, which is available in the M.2 2280 form factor with storage capacities ranging from 80 to 320GB, is suitable for particularly high endurance requirements. They have security functions such as AES256, Crypto Erase, and TCG Opal 2.0, and are suited for industrial applications, networking systems such as routers or switches, as well as edge servers.

Swissbit offers a solderable alternative to the N2000 in the form of the E2000 PCIe BGA family. The E2000 and E2600 series offer full PCIe SSD performance in a multi-chip design measuring just 3.2 square centimeters. The ultra-compact BGAs also support the ambient temperature range from -40 to 85C and are available with storage capacities ranging from 60 to 480GB (E2000, TLC) and 20 to160 GB (E2600, pSLC).

Data warehouser Teradata will offer its VantageCloud Lake on Google Cloud, featuring updates that are designed to leverage the strengths of both Teradata and Google Cloud. It says key components of VantageCloud Lake are its ClearScape Analytics and a connected ecosystem that, for the Google Cloud edition, include seamless integrations with Google Clouds AI technologies, Vertex AI platform, and Gemini models. For example, the Teradata Customer Complaint Analyzer uses Gemini models to provide a richer and more comprehensive view of customer complaints. This joint solution can automatically categorize,analyze, and identify insights from text and audio-based customer complaints more efficiently than traditional methods, which only analyze text.

Teradata VantageCloud Lake on Google Cloud is now generally available. ClearScape Analytics integration with Vertex AI platform is now generally available, and the solutions enhancements withGemini models will be available for private preview in the first half of 2025.

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Quantum Computing is Becoming More Accessible as Costs Drop & Cloud Access Expands Dr. Mark Jackson – The Quantum Insider

Dr. Mark Jackson, a leading expert in quantum computing and Senior Quantum Evangelist at Quantinuum, recently shared his views on the imminent impact of quantum technology. With a PhD in superstring theory and cosmology, Jacksons extensive background positions him as a crucial voice in the quantum revolution. Here, he offered his vision for the future and the necessity of early investment in quantum computing.

The market potential for quantum computing isnt just in the billions; its believed that it will be in the trillions in the next one to two years, Jackson said. This staggering projection underscores the vast economic impact expected from quantum advancements.

Jackson stressed the importance of early adoption.

It takes time to write the software, to understand how this works, to understand how it affects your industry. Its not simply a matter of turning on a dime once you see the headlines about quantum being relevant, he said. The complexity and novelty of quantum computing demand a proactive approach to ensure organizations are ready to leverage its capabilities.

Explaining the fundamental difference between quantum and classical computers, Jackson noted: A normal computer is based on bits which are zero or one. A quantum computer is based on quantum bits, or qubits, which can be zero and one at the same time. This property enables quantum computers to consider multiple solutions simultaneously, vastly increasing computational power. You get this exponential scaling of possible solutions that a quantum computer would consider, he added.

Jackson called attention to some key applications where quantum computing excels.

One thing that quantum computers are very good at is chemistry, being able to do material science calculations, trying to simulate molecules and understand how theyll behave, he said. Personalized medicine is another promising field, as quantum computing could significantly reduce the time and cost required to develop new drugs. With a quantum computer, we think that we could speed this up and make it much more efficient, Jackson explained.

Cybersecurity is also a critical area of concern and opportunity. Jackson pointed out: Quantum computing is relevant to hacking or cybersecurity. Now that quantum is becoming pretty powerful, a lot of governments and communications companies are very concerned about this. Companies like Apple and Zoom have already started upgrading their cybersecurity measures to protect against potential quantum threats.

Despite its potential, Jackson acknowledged the current limitations of quantum technology.

Unfortunately, its very expensive to build a quantum computer right now, and so its only really very developed countries that are investing in this, he said. However, he remains optimistic about the future accessibility of quantum computing. The price of quantum computing is coming down, and a lot of people have access to it over the cloud.

Jackson dispelled the common misconception that quantum computing is still decades away.

By far the biggest misconception that I come across is that people think that quantum computing might be relevant in 20 years, he said. He stressed that significant breakthroughs have occurred in the past decade, rapidly advancing the field. Quantum has increased its performance by about a factor of ten every year, Jackson noted, while predicting that practical applications of quantum computing will emerge within the next two years.

Jackson urges organizations to begin investing in quantum technology now to stay ahead.

The organizations which will take most advantage of this are those who have already begun. It really is essential that if youre not already investing in quantum, you start developing expertise and investing in this now, he advised. The future of quantum computing promises to revolutionize various industries, and early preparation will be key to capitalizing on its transformative potential.

Featured image: Credit: PNNL

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Time Crystals Could be the Circuit Boards of Future Quantum Computers – The Debrief

Scientists from Swinburne University of Technology in Australia and Jagiellonian University in Poland have proposed using time crystals as a core component of a quantum computer. In the preprint paper, the scientists propose using time crystals as a type of circuit to keep the quantum components within the computer from interfering with each other and causing errors. While more research is required in order to check the feasibility of the idea, it could have significant implications for the future of quantum technology.

The concept of a time crystal was first proposed around the mid-2010s. The idea is that, like a crystal has a repeated structure in space (with multiple faces and sides), a time crystal has a repeated structure in time. While difficult to understand, the time crystal can be likened to a perpetual motion machine, where atomic or particle arrangements repeatedly transform over repeated time segments in a never-ending train of particles.

While the time crystal began as a theoretical concept, it has now been constructed using high-powered lasers and ultracold atoms. The laser can produce discrete patterns of light in specific time intervals, causing the particles to be excited or change quantum states repeatedly.

Because of their discrete timing patterns, physicists believe that time crystals may be able to help isolate individual quantum bits or qubits that make up the processing units of a quantum computer.

Quantum computers utilize quantum mechanical phenomena, such as superposition and entanglement, to solve complex problems that a traditional or classical computer is unable to solve. Their power comes from their ability to transform and change the qubits inside them, which can be individual atoms, photon light particles, ions, or other particles. Companies like Google, IBM, and Quantinuum, along with many smaller start-ups, each use different atoms as qubits within their systems, showing the many types of quantum computers.

One of the challenges in creating a working quantum computer is the fragility of the qubits. Qubits can become susceptible to environmental or outside noise, causing them to change quantum states or become unentangled from other qubits in a process known as decoherence. The qubits within a quantum computer can also interfere with each other, which makes scaling up quantum computers from only a few qubits to a few hundred qubits a big challenge. Not only will more qubits interfere with each other, but they can add to the environmental noise that may affect the entire system.

While scientists and engineers are working to overcome these challenges, time crystals could be a potential avenue to explore as a solution to these issues.

In this new preprint paper, the scientists propose integrating time crystals into a quantum computer as a time-tronic circuit board. In this circuit board, the time crystals could regulate the timing of analysis and information moving through the qubits, isolating them from each other and mitigating some of the potential errors that could happen.

The elements of these devices can correspond to structures of dimensions higher than three and can be arbitrarily connected and reconfigured at any moment, the researchers write about the time-tronic circuit in their paper. They add that these circuit boards could be used for other quantum devices, with quantum computing being the most prominent application.

While experiments are needed to validate the researchers theory, the team simulated using a time crystal to control a group of ultracold potassium ions being directed by a laser pulse, showing that the time crystal could create a steady rhythm for the ions to move to.

Combining quantum computing and time crystals is not a new idea. Australian physicists simulated a time crystal using a quantum computer in 2022, creating one with 57 particles, the biggest time crystal thus far. Before this, Googles quantum computing team created a 20-qubit time crystal using Googles Sycamore quantum computer.

While quantum computers have previously been used to create time crystals, the future of quantum computing innovation may depend on time crystals being integrated into bigger quantum computers and other devices.

Kenna Hughes-Castleberry is the Science Communicator at JILA (a world-leading physics research institute) and a science writer at The Debrief. Follow and connect with her on X or contact her via email at kenna@thedebrief.org

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Fujitsu and ANU to bring world-class quantum computing to Australia – Fujitsu

Memorandum of Understanding to drive local innovation and talent development Fujitsu Limited

Kawasaki and Sydney, July 4, 2024

Fujitsu today announced that Fujitsu Australia Limited and The Australian National University (ANU) in Canberra concluded a memorandum of understanding (MoU) to ensure that industry and government professionals, researchers, academics, and students in Australia will soon have access to a world-class quantum research facility. The agreement will see the two organizations partner to establish a center for quantum research, with ambitions to build an onsite quantum computer.

Aligning with Australias National Quantum Strategy to invest in, connect and grow Australias quantum research and industry to compete with the worlds best, the MoU sets out a long-term vision for how Fujitsu will partner with one of Australias leading tertiary educators to capitalize on the future opportunities and applications of quantum technologies for the benefit of local organizations and the global community.

Graeme Beardsell, EVP, Chief Executive Officer Oceania, at Fujitsu said: "At Fujitsu, we're innovating for the future of computing. Our investment in quantum research, coupled with strategic collaborations including with ANU, puts us at the forefront of the global race to develop the world's first fault-tolerant quantum computer. This is about more than just technology; it's about unlocking the next wave of innovation.

"Australia's commitment to quantum leadership is clear, and Fujitsu is playing our part. We're not just developing these technologies; we're sharing them, fostering collaboration, and believing that the next quantum breakthrough will come from a global, connected network of brilliant minds who are focused on developing technology for good."

As part of the collaboration, Fujitsu will provide ANU researchers and academics with access to Fujitsus quantum systems and simulators in Japan. To drive further innovation, Fujitsu, through collaboration with RIKEN, plans to release a 256-qubit quantum computer in March 2025 and a quantum computer with as many as 1000 qubits in fiscal year 2026 (1), cementing ANUs ongoing access to the latest in cutting-edge quantum technology.

Under the new collaboration, ANU will develop teaching and training modules based around access to Fujitsus quantum technologies to further inform the overall approach to research into quantum computing.

In addition to the exchange of knowledge, the endeavor will also aim to set up an on-site quantum computer at ANU to help local researchers, and government and industry professionals to develop expertise in quantum computers.

The on-site quantum computer will provide Australian professionals with access to local emerging technologies that will enable them to conduct advanced research in fields including cryptography, material science, and quantum simulations.

Professor Lachlan Blackhall, Deputy Vice-Chancellor (Research and Innovation) at The Australian National University said: This collaboration with Fujitsu complements and builds on the ANU mission to further higher education on emerging technologies including quantum computing and will help to foster the growth of a talented pool of quantum computing professionals in Australia.

ANU is excited to see this collaboration with Fujitsu, which promises to build on the Universitys strengths in quantum optical physics and quantum algorithms. More broadly, this dynamic collaboration and the work taking place as part of it will help grow the nations commitment to fundamental quantum physics, which is absolutely vital if we are to harness the incredible potential of research and apply it to real-world opportunities for the quantum world.

In addition to Fujitsus plans over the next two years to develop a 256-qubit and 1,000-qubit superconducting quantum computer with RIKEN, Fujitsu has developed quantum technologies and expertise including:

The Sustainable Development Goals (SDGs) adopted by the United Nations in 2015 represent a set of common goals to be achieved worldwide by 2030. Fujitsus purpose to make the world more sustainable by building trust in society through innovation is a promise to contribute to the vision of a better future empowered by the SDGs.

Fujitsus purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers in over 100 countries, our 124,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: Computing, Networks, AI, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.7 trillion yen (US$26 billion) for the fiscal year ended March 31, 2024 and remains the top digital services company in Japan by market share. Find out more: http://www.fujitsu.com.

The Australian National University (ANU) is unlike any other university in Australia. Founded in 1946, in a spirit of post-war optimism, our role was to help realise Australia's potential as the world recovered from a global crisis. That vision, to support the development of national unity and identity, improve our understanding of ourselves and our neighbours, and provide our nation with research capacity amongst the best in the world, and education in areas vital for our future, has been our mission ever since.

Fujitsu Limited Public and Investor Relations Division Inquiries

All company or product names mentioned herein are trademarks or registered trademarks of their respective owners. Information provided in this press release is accurate at time of publication and is subject to change without advance notice.

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The Novo Nordisk Foundation Believes Quantum Computing Poised to Revolutionize Healthcare & Drug Discovery – The Quantum Insider

The Novo Nordisk Foundation, under the leadership of Senior Vice President Lene B. Oddershede, is leading efforts to harness quantum computing for groundbreaking advances in life sciences and healthcare. In a recent interview, Oddershede shared her thoughts into the foundations ambitious quantum initiatives and their potential to transform medical research and drug discovery.

Oddershede talked about the foundations long-term commitment to quantum technology.

We understand we are in it for the long haul, she began. It does come tomorrow that we will have a quantum computer that is capable of solving real problems in the Life Sciences. We need to be patient, maybe for another ten years or so and thats actually totally fine. This approach aligns with the foundations experience in pharmaceutical development, where timelines often span decades.

The potential applications of quantum computing in life sciences are vast. Oddershede explained: I strongly believe that quantum computing is going to be such a powerful tool that it will help us get maybe even an AB initial understanding of how biomolecules work, maybe of how a cell works with the lipids with everything and that will give us an understanding of such fundamental and basic processes that will really impact a number of different areas.

Oddershede stressed the foundations long-term commitment to quantum technology.

One specific area where quantum computing could make a significant impact is in understanding complex enzymatic processes.

If you take nitrogenase, for example, its the enzyme that converts nitrogen into ammonia, a process essential for feeding the world. Industrially, this is done through the Haber process, which is extremely energy-consuming, said Oddershede, providing an example, potentially leading to more efficient and environmentally friendly ammonia production.

To advance quantum computing research, the Novo Nordisk Foundation has launched a major initiative. Oddershede revealed: The largest initiative we have supported to date is the NOA NIS Foundation quantum computing program, which we have funded with 200 million euros. The purpose of the program is to develop fault-tolerant quantum computing.

This program aims to achieve a trillion error-free operations, a significant milestone in quantum computing capabilities.

Recognizing the global nature of quantum research, Oddershede underlined the importance of international collaboration.

We need to collaborate with trusted partners, so we need to identify trusted partners and then we need to enter into a really deep collaboration with these partners, she said. The foundation has established partnerships with academic institutions worldwide and industry leaders like NVIDIA to foster innovation in quantum computing.

Looking to the future, Oddershede shared her vision for quantum computings impact.

My highest hope is actually that we will participate in and enable actually to accelerate the development of fault tolerant quantum computing for the benefit of all humankind and of the planet, she said.

She emphasized the importance of ensuring that quantum technology benefits society broadly, rather than being monopolized by a few large tech companies.

The Novo Nordisk Foundations initiatives promise to play a crucial role in unlocking its potential for life sciences and healthcare. With a focus on collaboration, long-term investment and societal benefit, the foundation is helping to pave the way for a future where quantum computing could revolutionize our understanding of biological processes and accelerate medical breakthroughs.

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3 Quantum Computing Stocks That Could Make Your Grandchildren Rich – InvestorPlace

For tech-centric investors, quantum computing stocks many offer the biggest bang for your buck. To make a long story short, the underlying innovation facilitates multiple processes to run simultaneously. Therefore, it can dramatically outperform some of the fastest and most rigorous classical computer available. It all centers on the qubit.

Similar to the bit in classical computers, a qubit represents the basic unit of information in quantum computers. What makes qubits distinct, though, is the concept of superposition. Essentially, this block of information can be represented as a 0 or 1 or any proportion of these two binary values in both states simultaneously.

A very rudimentary explanation is that classical computers represent the equivalent of a single-lane roadway. On the other hand, quantum computers represent multi-lane expressways. Multiple cars can zip along the expressway at high speeds, enabling for far greater utility than a single-lane roadway.

Again, thats a very basic analogy and oversimplifies the complex granularity involved. But this roughly addresses why the sector is so enticing. And with that, below are some of the top quantum computing stocks to consider.

Source: shutterstock.com/LCV

To be blunt, legacy tech giant IBM (NYSE:IBM) probably isnt going to make you rich, at least not in the 1,000% return over the course of a few years sense. Nevertheless, Id consider Big Blue to be one of the top quantum computing stocks for generational wealth. Thats because if history is any guide, IBM isnt going anywhere. Incorporated in 1911, its older than all of us and will likely outlive us.

Another aspect that makes IBM compelling is the underlying financial consistency. Youre probably not going to see too many remarkable results. However, in the past four quarters, the tech giant posted an average earnings per share of roughly $2.44. This print translated to an earnings surprise of almost 4.9%.

During the trailing 12 months (TTM), IBM posted net income of $8.15 billion or earnings of $8.82 per share. Revenue hit $62.07 billion. For the year, covering experts believe EPS may rise 3.3% to $9.94. On the top line, sales could see a 2% increase to $63.05 billion.

These arent standout stats. However, keep in mind that IBM offers a forward yield of 3.86%.

Source: Boykov / Shutterstock.com

Based in Berkeley, California, Rigetti Computing (NASDAQ:RGTI) falls under the computer hardware space. Per its public profile, Rigetti builds quantum computers along with superconducting quantum processors. Its an intriguing idea among quantum computing stocks, especially because it could be relatively undervalued. RGTI trades at 11.55X trailing-year sales. In the first quarter, it traded at 16.82X.

As exciting as Rigetti is, however, its undoubtedly a risky entity. During the past four quarters, its average loss per share came out to 13.3 cents. Further, the average earnings surprise landed at almost 4% below breakeven. Thats not exactly the most encouraging profile.

In the TTM period, Rigetti incurred a net loss of $72.53 million or 52 cents per share. However, revenue in the period reached $12.86 million. Whats more, the most recent quarterly sales growth rate (year-over-year) hit 38.7%.

For fiscal 2024, analysts see a mitigation in loss per share to 41 cents. More importantly, sales could rise 27.4% to land at $15.3 million. For those willing to throw caution to the wind, RGTI ranks among the quantum computing stocks to consider.

Source: Amin Van / Shutterstock.com

Another hardware specialist, IonQ (NYSE:IONQ) engages in the development of general-purpose quantum computing systems. In particular, the company utilizes its trapped-ion technology for its advanced systems. This innovation provides a key advantage related to qubit coherence and scalability. Basically, IonQ is attempting to build the foundation for large-scale quantum systems.

What makes IONQ stock especially enticing is that the underlying quantum computers are accessible through major cloud platforms. That should help overall visibility. However, investors shouldnt be under any misguidance: IONQ is a high-risk, high-reward endeavor. During the past four quarters, the company incurred a loss per share of almost 21 cents. The average quarterly surprise landed at 16.85% below parity.

In the TTM period, IonQ incurred a net loss of $170 million. However, revenue in the period hit $25.34 million. Further, the most recent quarterly sales growth rate clocked in at almost 77%. For fiscal 2024, the loss per share could expand unfavorably to 87 cents. However, revenue may fly 79.1% to $39.47 million. Bet on it only if you can handle the volatility risk.

On the date of publication, Josh Enomoto did not have (either directly or indirectly) any positions in the securities mentioned in this article.The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelines.

A former senior business analyst for Sony Electronics, Josh Enomoto has helped broker major contracts with Fortune Global 500 companies. Over the past several years, he has delivered unique, critical insights for the investment markets, as well as various other industries including legal, construction management, and healthcare. Tweet him at @EnomotoMedia.

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3 Quantum Computing Stocks to Sell in July Before They Crash & Burn – InvestorPlace

Source: Boykov / Shutterstock.com

Quantum computing could very well bring about a digital age greater than generative artificial intelligence (AI). For those unaware, quantum computing leverages quantum mechanics, the physics undergirding small particles, to solve problems that classical computers have a hard time getting through. Moreover, in classical computers, bits, which are the fundamental units of information, can only take the form of 0s and 1s, yet qubits can take either of those forms and can assume both states at the same time. Because classical computers are binary-based machines, they can struggle when performing extremely complex problem-solving, such as modeling the behavior of individual atoms or identifying subtleties in fraudulent financial transactions. Quantum computers are ideal for these problems. However, despite this technologys potential, there are quantum computing stocks to sell, as not all companies succeed long-term.

While start-ups firms leveraging innovative techniques to build scalable quantum computers for enterprises was a hot trade in 2023, the macroeconomic environment and a beleaguered economy has soured investor sentiment on start-up businesses in a novel field. Below are three quantum computing stocks to sell in July.

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IonQ (NYSE:IONQ) has received a ton of attention from investors in the past twelve months. The firm develops and manufactures various quantum computing systems and has done so since 2015 with a firm commitment to innovation. To develop such advanced systems, IonQ leverages a trapped-ion system. The system traps ions from barium or ytterbium in an electromagnetic field that allows their ability to be harnessed for quantum computations. The Aria quantum system is IonQs latest quantum computer and boasts 25 qubits. While the quantum computing firm does manufacture and sell large quantum systems, the power of its existing computers is available on cloud services, including Amazon (NASDAQ:AMZN) Web Services, Microsoft (NASDAQ:MSFT) Azure and Alphabets (NASDAQ:GOOG, NASDAQ:GOOGL) Google Cloud.

IonQ had a runup in its share price due to more innovative advances as well investor hype around artificial intelligence and fields loosely related to it, particularly quantum computing. However, investors desiring concrete results and real use-cases for quantum computers have begun to shun the stock. IONQ has plummeted 43.3% since the start of 2024, and investor fatigue around AI could see shares fall even further in the near and medium terms.

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Rigetti Computing (NASDAQ:RGTI) is another pure-play quantum computing startup. In particular, Rigetti specializes in designing and building quantum processors. As a vertically integrated company, Rigetti both owns and operates a wafer fabrication facility called Fab-1 that produces quantum processors. While the company came into inception in 2013, it begun to sell quantum processing power via cloud environments as early as 2017. Moreover, Rigetti had begun selling physical quantum computers towards the end of 2023. The companys most impressive advancement has been the building of the Ankaa-2 system which boasts 84 qubits and has processing power that is available through various cloud services.

However, similar to IonQ, Rigettis stock rallied amidst all the noise about novel technologies like generative AI. In the middle of March, Rigettis share price had risen more than 112% for the year, but shares have fallen precipitously since then. Trading at just above $1/share, Rigetti is increasingly looking like a bad investment, despite all of its innovations. Investors are beginning to focus on earnings quality, and because Rigetti is still a cash-burning startup, it will probably face a tough time getting more love from the market.

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Quantum Computing (QCi) (NASDAQ:QUBT) is, as the name suggests, a quantum computing firm and specializes in creating affordable quantum systems. The startups focus on photonics has allowed it to create the QCi core technology, which leverages light as well as lights quantum mechanical properties as a tool for various quantum applications. Outside of developing hardware, QCi has built a key software platform, Qatalyst, which the company says has focused on agnostic enterprise software for quantum computing systems.

Unfortunately, the quantum computing firms stock has absolutely tanked. Now trading around $0.50/share, QUBT has plummeted 60.7% over the past 12 months and more than 90% if we zoom out over the past 3 years. Again, were dealing with a startup that is barely generating any sales or earnings, which has definitely hurt its long-term prospects in the eyes of investors.

Because quantum computing applications only serve the needs of research institutes and a select few enterprises, its hard to say when Quantum Computings growth will pick up.

On the date of publication, Tyrik Torresdid not have (either directly or indirectly) any positions in the securities mentioned in this article.The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelines.

On the date of publication, the responsible editor did not have (either directly or indirectly) any positions in the securities mentioned in this article.

Tyrik Torres has been studying and participating in financial markets since he was in college, and he has particular passion for helping people understand complex systems. His areas of expertise are semiconductor and enterprise software equities. He has work experience in both investing (public and private markets) and investment banking.

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Biden administration is providing $504 million to 12 ‘tech hubs’ – Fortune

The Biden administration said Tuesday that it was providing $504 million in implementation grants for a dozen tech hubs in Ohio, Montana, Nevada and Florida, among other locations.

The money would support the development of quantum computing, biomanufacturing, lithium batteries, computer chips, personal medicine and other technologies.

The administration is trying to encourage moretechnological innovationacross the country, instead of allowing it be concentrated in a few metro areas such as San Francisco, Seattle, Boston and New York City.

The reality is there are smart people, great entrepreneurs, and leading-edge research institutions all across the country, Commerce SecretaryGina Raimondosaid in a call previewing the announcement. Were leaving so much potential on the table if we dont give them the resources to compete and win in the tech sectors that will define the 21st century global economy.

The money comes from the Commerce Departments Economic Development Administration. In October 2023, PresidentJoe Bidendesignated 31 tech hubs. Raimondo said the administration was pushing for more funding for the program so that all the designated tech hubs can get additional resources to compete.

The tech hubs receiving funding include:

$41 million for the Elevate Quantum Tech Hub in Colorado and New Mexico

$41 million for the Headwaters Hub in Montana

$51 million for Heartland BioWorks in Indiana

$51 million for the iFAB Tech Hub in Illinois

$21 million for the Nevada Tech Hub

$40 million for the NY SMART I-Corridor Tech Hub in New York

$44 million for ReGen Valley Tech Hub in New Hampshire

$45 million for the SC Nexus for Advanced Resilient Energy in South Carolina and Georgia

$19 million for the South Florida ClimateReady Tech Hub

$51 million for the Sustainable Polymers Tech Hub in Ohio

$51 million for the Tulsa Hub for Equitable & Trustworthy Autonomy in Oklahoma

$51 million for the Wisconsin Biohealth Teach Hub.

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UMD Researchers Develop New and Improved Camera Inspired by the Human Eye | College of Computer … – College of Computer, Mathematical, and Natural…

A diagram depicting the novel camera system (AMI-EV). Image courtesy of the UMIACS Computer Vision Laboratory.

A team led by University of Maryland computer scientists invented a camera mechanism that improves how robots see and react to the world around them. Inspired by how the human eye works, their innovative camera system mimics the tiny involuntary movements used by the eye to maintain clear and stable vision over time. The teams prototyping and testing of the cameracalled the Artificial Microsaccade-Enhanced Event Camera (AMI-EV)was detailed in a paper published in the journal Science Robotics in May 2024.

Event cameras are a relatively new technology better at tracking moving objects than traditional cameras, but todays event cameras struggle to capture sharp, blur-free images when theres a lot of motion involved, said the papers lead author Botao He, a computer science Ph.D. student at UMD. Its a big problem because robots and many other technologiessuch as self-driving carsrely on accurate and timely images to react correctly to a changing environment. So, we asked ourselves: How do humans and animals make sure their vision stays focused on a moving object?

For Hes team, the answer was microsaccades, small and quick eye movements that involuntarily occur when a person tries to focus their view. Through these minute yet continuous movements, the human eye can keep focus on an object and its visual texturessuch as color, depth and shadowingaccurately over time.

We figured that just like how our eyes need those tiny movements to stay focused, a camera could use a similar principle to capture clear and accurate images without motion-caused blurring, He said.

The team successfully replicated microsaccades by inserting a rotating prism inside the AMI-EV to redirect light beams captured by the lens. The continuous rotational movement of the prism simulated the movements naturally occurring within a human eye, allowing the camera to stabilize the textures of a recorded object just as a human would. The team then developed software to compensate for the prisms movement within the AMI-EV to consolidate stable images from the shifting lights.

Study co-author Yiannis Aloimonos, a professor of computer science at UMD, views the teams invention as a big step forward in the realm of robotic vision.

Our eyes take pictures of the world around us and those pictures are sent to our brain, where the images are analyzed. Perception happens through that process and thats how we understand the world, explained Aloimonos, who is also director of the Computer Vision Laboratory at the University of Maryland Institute for Advanced Computer Studies (UMIACS). When youre working with robots, replace the eyes with a camera and the brain with a computer. Better cameras mean better perception and reactions for robots.

The researchers also believe that their innovation could have significant implications beyond robotics and national defense. Scientists working in industries that rely on accurate image capture and shape detection are constantly looking for ways to improve their camerasand AMI-EV could be the key solution to many of the problems they face.

With their unique features, event sensors and AMI-EV are poised to take center stage in the realm of smart wearables, said research scientist Cornelia Fermller, senior author of the paper. They have distinct advantages over classical camerassuch as superior performance in extreme lighting conditions, low latency and low power consumption. These features are ideal for virtual reality applications, for example, where a seamless experience and the rapid computations of head and body movements are necessary.

In early testing, AMI-EV was able to capture and display movement accurately in a variety of contexts, including human pulse detection and rapidly moving shape identification. The researchers also found that AMI-EV could capture motion in tens of thousands of frames per second, outperforming most typically available commercial cameras, which capture 30 to 1000 frames per second on average. This smoother and more realistic depiction of motion could prove to be pivotal in anything from creating more immersive augmented reality experiences and better security monitoring to improving how astronomers capture images in space.

Our novel camera system can solve many specific problems, like helping a self-driving car figure out what on the road is a human and what isnt, Aloimonos said. As a result, it has many applications that much of the general public already interacts with, like autonomous driving systems or even smartphone cameras. We believe that our novel camera system is paving the way for more advanced and capable systems to come.

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In addition to He, Aloimonos and Fermller, other UMD co-authors include Jingxi Chen (B.S. 20, computer science; M.S. 22, computer science) and Chahat Deep Singh (M.E. 18, robotics; Ph.D. 23, computer science).

This research is supported by the U.S. National Science Foundation (Award No. 2020624) and National Natural Science Foundation of China (Grant Nos. 62322314 and 62088101). This article does not necessarily reflect the views of these organizations.

The paper, Microsaccade-inspired event camera for robotics, was published in Science Robotics on May 29, 2024.

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