Category Archives: Quantum Computing
MSU Forms Quantum Alliance with Purdue and University of Michigan – HPCwire
EAST LANSING, Mich., Jan. 7, 2022 Michigan State University has joined Purdue University and the University of Michigan to form a Midwest-based alliance that will push the frontiers of quantum science and engineering research, education and training.
TheMidwest Quantum Collaboratory, or MQC, will foster new cutting-edge projects across the universities, creating new opportunities for leading researchers in quantum computing and information science. MQC will also bolster the universities work preparing their graduates to power the rapidly growing quantum workforce.
Each of the MQC universities is bringing its unique strengths and partnerships to the collaboration to provide even greater training and opportunities for our students, saidAngela K. Wilson, John A. Hannah Distinguished Professor in MSUsCollege of Natural SciencesDepartment of Chemistry.
Although navigating everyday life usually doesnt require expertise in quantum mechanics the science governing atoms and electrons it can revolutionize how we solve a variety of real-world problems. For example, researchers are creating quantum computing hardware and software and that could lead to paradigm shifts in finance, logistics and cybersecurity.
In the future, the use of quantum computers will be everywhere, regardless of field. Quantum computers are predicted to take the place of computers as we now know them, so jobs will become quite prevalent, said Wilson, who is also the director of theMSU Center for Quantum Computing, Science and Engineering, or MSU-Q.
Bringing together three of our nations largest universities and three of the largest quantum computing efforts provides potential employers with a great source of interns and potential employees encompassing a broad range of quantum computing.
Scientists are also developing quantum technology to help better understand fundamental science, improve communications and advance clean energy production. As researchers push the quantum boundaries, they also anticipate new and exciting opportunities.
We scientists are now in a position to start combining these quantum building blocks to quantum applications that have never existed, said the MQCs inaugural director Mackillo Kira, a professor of electrical engineering and computer science and of physics at the University of Michigan.
It is absolutely clear that any such breakthrough will happen only through a broad, diverse and interdisciplinary research effort, he said. MQC has been formed also to build scientific diversity and critical mass needed to address the next steps in quantum science and technology.
We know collaboration is key to driving innovation, especially for quantum, said David Stewart, managing director of the Purdue Quantum Science and Engineering Institute.
The MQC will not only provide students with scientific training, but also develop their interpersonal skills so they will be ready to contribute to a currently shorthanded quantum workforce, Stewart said.
With so much promise, quantum technology has already captured the attention and research investments of many prominent corporations, including IBM, Google, Amazon and Goldman Sachs. MQC is partnering with such companies to help their efforts through scientific collaborations and by introducing them to students and postdocs who have the skills to help drive a growing industrial sector.
The demand for technically skilled quantum employees is exploding, saidJohannes Pollanen, the Jerry Cowen Chair of ExperimentalPhysicsat MSU and associate director of MSU-Q.
Finding qualified employees for these positions is already a critical bottleneck for advancing the quantum information age, he said. MQC is not only pushing the envelope of quantum technology development but also actively working to train this next generation workforce and connect them with the leading companies in the field.
For its part, MSU brings extensive and interdisciplinary expertise in quantum computing technology and algorithms to the table.With decades of experience in these realms, MSU researchers, including Pollanen, have helped start companies and driven the formation of MSU-Q.
Founded in 2019 by Wilson, Pollanen andAndrew Christlieb, an MSU Foundation Professor in the Department ofComputational Mathematics, Science and Engineering, MSU-Q spans departments to strengthen Spartan quantum collaborations. Now, MQC will enable MSU to extend this work beyond campus, joining forces with Purdue and University of Michigan.
Collaborations like the ones were building at MSU-Q and MQC are bringing about a transformative new era in information processing and high-performance computing, said Pollanen. I really see this so-called second quantum revolution as a truly amazing time to be working in the field.
News of the MQC comes on the heels of another recent announcement of a multi-institute quantum initiative supported by the National Science Foundation. Along with Ohio State University and the University of Chicago, MSU is co-leadingQuSTEAM, short for Convergent Undergraduate Education in Quantum Science, Technology, Engineering, Arts and Mathematics.
Source: Matt Davenport, Michigan State University
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MSU Forms Quantum Alliance with Purdue and University of Michigan - HPCwire
EPFL engineers find promising way to boost computing power of quantum computers. – Science Business
Engineers at EPFL have developed a method for reading several qubits the smallest unit of quantum data at the same time. Their discovery paves the way to a new generation of even more powerful quantum computers.
IBM and Google currently have the worlds most powerful quantum computers, says Prof. Edoardo Charbon, head of the Advanced Quantum Architecture Laboratory (AQUA Lab) in EPFLs School of Engineering. IBM has just unveiled a 127-qubit machine, while Googles is 53 qubits. The scope for making quantum computers even faster is limited, however, due to an upper bound on the number of qubits. But a team of engineers led by Charbon, in collaboration with researchers in the U.K., has just developed a promising method for breaking through this technological barrier. Their approach can read qubits more efficiently, meaning more of them can be packed into quantum processors. Their findings appear inNature Electronics.
Biochemistry and cryptography
Quantum computers dont work like the computers were used to. Instead of having a separate processor and memory chip, the two are combined into a single unit known as a qubit. These computers use quantum properties such as superposition and entanglement to perform complicated calculations that regular computers could never do in a reasonable timeframe. Potential applications for quantum computers include biochemistry,cryptography and more. The machines used by research groups today have around a dozen qubits. Our challenge now is to interconnect more qubits into quantum processors were talking hundreds, even thousands in order to boost the computers processing power, says Charbon. The number of qubits is currently limited by the fact that theres no technology yet available that can read all the qubits rapidly. Complicating things further, qubits operate at temperatures close to absolute zero, or 273.15oC, says Charbon. That makes reading and controlling them even harder. What engineers typically do is use machines at room temperature and control each qubit individually.
Its a real breakthrough
Andrea Ruffino, a PhD student at Charbons lab, has developed a method enabling nine qubits to be read simultaneously and effectively. Whats more, his approach could be scaled up to larger qubit matrices. My method is based on using time and frequency domains, he explains. The basic idea is to reduce the number of connections by having three qubits work with a single bond. EPFL doesnt have a quantum computer, but that didnt stop Ruffino. He found a way to emulate qubits and run experiments under nearly the same conditions as those in a quantum computer. I incorporated quantum dots, which are nanometer-sized semiconductor particles, into a transistor. That gave me something that works the same as qubits, says Ruffino. Hes the first PhD student in the AQUA Lab to study this topic for his thesis. Andrea showed that his method works with integrated circuits on regular computer chips, and at temperatures approaching qubit ones, says Charbon. Its a real breakthrough that could lead to systems of large qubit matrices integrated with the necessary electronics. The two types of technology could work together simply, effectively and in a reproducible manner.
This article was first published on 6 January by EPFL.
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EPFL engineers find promising way to boost computing power of quantum computers. - Science Business
Power Moves: Meet the newest faces on the DMV’s quantum computing scene – Technical.ly DC
Power Movesis a column where we chart the comings and goings of talent across the region. Got a new hire, new gig or promotion? Email us at dc@technical.ly.
This week, Leesburg, Virginia company Quantum Computing added former board member William McGann as its new COO and CTO. According to Quantum Computing, hell lead the team as it continues to advance and innovate its quantum optimization software.
As a leader, I look forward to establishing an exciting, fast-paced business rhythm that is customer-focused and leading through innovation, McGann said in a statement. We will aspire to be the best in all that we do and endeavor to become the preeminent leader in delivering quantum solutions to the market that advance customer business and application outcomes.
William McGann. (Photo via LinkedIn)
The company also added Michael Turmelle, a former chairman of Ideal Power, to its board of directors.
And following its uber-successful IPO in 2021, College Park, Maryland quantum firm IonQ has pulled some power players into its fold.
On the leadership side, IonQ has added two new members. Ariel Braunstein, the cofounder of Pure Digital Technology and a former product lead at Cisco and Googles AV/VR department will join as senior VP of product management. Dean Kassman, former senior director at Blue Origin, was also named as VP of research and development.
Additionally, the company added Inder Singh, executive VP and CEO at Arm, a British semiconductor firm, to its board.
It is an incredibly exciting time to join IonQs Board, having watched the company grow from a startup to the quantum computing industry leader it is today, said Singh in a statement. Government, business and society as a whole are quickly recognizing quantums ability to solve previously impossible problems, and they are turning to IonQ for counsel and strategic partnership. I could not be more excited to be joining the Board and helping the team potentially shape the next frontiers of technology.
Inder Singh. (Photo via LinkedIn)
In the past month, Fairfax, Virginia software developer 3Pillar has made a ton of hiring moves, including adding three members to its C-suite.
In mid-December, the company added Ken Krtiz as senior VP of banking and insurance, Chris Hansen as senior VP of communications and Kim Mirazimi as senior VP of commercial sector clients.
At the top, 3Pillar promoted its chief delivery officer David Sawatzky to the role of COO. Jamie Whitacre, previously the senior VP of talent, was also bumped up to the role of chief people officer. And just this week, 3Pillar appointed Jeff Sperber as its new CFO. Sperber was previously the CFO for companies including Class Valuation, TalentReef, NetDocuments and Accenture Mortgage Cadence.
Im thrilled to continue my journey at 3Pillar as we expand our global presence and scale our culture, said Whitacre in a statement. Our next phase of growth is critical in helping us attain our vision of becoming the employer of choice in digital product development services.
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Power Moves: Meet the newest faces on the DMV's quantum computing scene - Technical.ly DC
2022 will be the year of deeptech say investors – Sifted
From quantum discoveries to the first AI-discovered drug candidates going into clinical trials, 2021 was a landmark year for deeptech in Europe.
Swedish battery maker Northvolt now has huge investment from companies like Volvo and VW to build gigafactories, and even ideas like Energy Vault (storing grid energy as huge stacked-up concrete blocks) which may have seemed out there a few years ago, are getting real investment.
Quantum computing took a big leap forward, with many top academics and even former White House officials, joining startups and a huge funding boost from the French and German governments. Even places like Finland built their first quantum computer.
So, what more will 2022 bring?
Investors believe that 2022 will be the year of deeptech with many more VCs and corporations jumping in to fund startups, especially as other sectors become overheated and overcrowded.
Ewan Kirk, tech entrepreneur and founder of Cantab Capital Partners, says that consumer tech like fintech, social media and ride-sharing has ridden a wave of interest, but that these businesses are hard to defend and new competition is entering the market all the time. Which starts to make deeptech look a lot more attractive.
Deeptech businesses are fundamentally different at their base, they are about leveraging a technological or scientific breakthrough, which is defensible through IP. Many VCs are starting to see that this makes them a very strong investment proposition.
Benjamin Joffe, partner at SOSV, says more funding will help startups overcome the multiple transitions they need to make from lab to market.
But what specific developments can we look forward to? Quantum computing, fusion energy and healthtech feature heavily in our experts predictions:
In 2022 we will see the first quantum computing companies demonstrating that they have solutions that are competitive with classical only computing clusters, for applications useful to society as whole even if its with a relatively narrow focus to start with. The metric is a mix of time to solution, accuracy and energy consumption. At a minimum we will have a clear vision of the requirements and scaling laws to make it happen within the next two years.
Christophe Jurczak, founder and partner at Quontonation
2022 will be a breakthrough year for quantum computing and we will finally develop material and technology enabling robust qubits. Quantum computing is a hot topic, but in reality we are very early in developing basic hardware required for the quantum computing dream to materialise.
Quantum computing depends on availability of very specific hardware and material that is able to maintain spin states of qubits for extended period of time. Due to lack of such material the qubits that we have at this point are unstable and highly prone to error, not capable of making more complex calculations with certainty. To unleash the massive potential of quantum computing we need systems with millions of stable qubits rather than the 10s of not-so-robust ones we have at this point.
Marcin Hejka, cofounder and general partner at OTB Ventures
As it stands, the most common approach to improving battery chemistry is through trial and error. Even AI and simulation technologies increasingly used to accelerate the process of identifying and cycling through potentially winning combinations are limited in their impact by the capabilities of computers.
In 2022, there will be huge steps forward as quantum computing begins solving key problems in battery materials modelling that are simply beyond the reach of standard computers, unlocking higher-performance and lower-cost batteries.
2022 will be the year in which government-backed funding will really take off
With significant capital now being invested in quantum computing, we will see more first case uses as innovation in hardware and software accelerates in 2022. As governments in the West begin to take notice of the huge potential applications of quantum computing, 2022 will be the year in which government-backed funding will really take off.
Moray Wright, CEO at Parkwalk Ventures
Nuclear fusion has always been a distant dream, always 30 years away from being ready to commercialise. But investors are starting to pay attention to nuclear fusion startups now, with US-based Commonwealth Fusion Systems raising more than $1.8bn in Series B funding led by Tiger Global. In Europe, nuclear fusion research has long revolved around the long-running ITER mega-project in the south of France, but now younger startups like Renaissance Fusion in Grenoble and Marvel Fusion in Munich are leapfrogging this with new approaches.
Ilkka Kivimaki, partner at Maki.vc
I think we are seeing the tail end of the AI and machine learning wave
I think we are seeing the tail end of the AI and machine learning wave. While it is incredibly important, it is now very much a part of modern technology development, rather than a special formula for the next big company. The focus will instead be on how we can neutralise the dual threats of climate change and future pandemics.
Ewan Kirk, founder of Cantab Capital Partners and tech entrepreneur
Chip shortages revealed the weakness of supply chains and tech sovereignty. It will become more crucial to have key suppliers located within your own country or region.
Benjamin Joffe, partner at SOSV
The light that Covid has shone on the health sector wont go away, and big investment will continue to be made here particularly in increasing the throughput of labs, from simple upgrades to the way in which data is collated, recorded and shared through to transforming the benchtop equipment itself with more flexible hardware.
Well also see more investment in further understanding complex and heterogeneous diseases; now we have the ability to retrieve and combine information from multiple genomics sources, we expect that machine learning algorithms will naturally have a bigger role to play in interpreting all the distinct layers of information and correlating findings with relevant medical knowledge (which will be particularly challenging when dealing with new variants or new genes not previously associated with a specific disease).
Zoe Chambers, partner at Frontline Ventures
The science equity industry is an emerging one but it is picking up pace. In 2022 it will continue growing since it is a main transformational engine for the European economy, and around 100 new industrial science-based companies will be set up in Europe.
Almudena Trigo Lorenzo, founding partner and chair at BeAble Capital
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2022 will be the year of deeptech say investors - Sifted
Will Innovation Make Us Better Off? – Forbes
Dario Gil, Director of IBM Research, standing in front of IBM Q System One on October 18, 2019 at ... [+] the company's research facility in Yorktown Heights, N.Y.
In the past year the share price of Apple AAPL has outperformed Bitcoin, and Tesla's TSLA share price which has hitherto been umbilically linked to bitcoin, has been far more jumpy (over the last two years it has had 29 one day moves of more than 10% as compared to a mere 17 for bitcoin).
These insights beg lots of questions, about market functioning, investor appetiteand simply, whether bitcoin is now old and dull. There is a debate that instead of being a risky asset across the spectrum of broad asset classes (bonds, equities etc), bitcoin is simply a safe asset within a highly volatile crypto world, though the fact that bitcoin has fallen 15% since I started writing this note nods to the former.
More importantly, it might be that bitcoin isout of fashion and is being replaced in the mindsets of investors by other speedy innovations. Recall the memorableline from a Davos speech by Canadian Premier Justin Trudeau where he said 'The pace of change has never been this fast, yet it will never be this slow again.
Exponential
The spirit of this phrase is caught by the many year ahead forecasts from futurologists, economists and thinkers. Having made my own forecasts before Christmas I have the benefit of sitting back and reading others, one excellent example being Azeem Azars weekly Exponential email, and a growing number of other notes that try to summarise what is bubbling up.
What is noticeable is that there is a strong sense of the Roaring 20s in threads of structural trends that analysts see taking place in the aftermath of a pandemic. Chief amongst them is a focus on nuclear power as a substitute to fossil fuels, not to mention the entire greentech complex.
If the forecasts and thought pieces I have mentioned are a good representation of where capital will flow, then a new, exciting infrastructure is being built in computing, logistics and finance to name a few sectors that happen to be united by data intensity. I might say that having witnessed the dot.com bubble, the only value of an asset bubble is that it leaves behind it an important infrastructure (telecoms in this case).
MetaVerse
My three key takeaways from parsing many reports, is that whilst on one hand exciting, the central message of the new emerging technologies is that they will lead to a historic and potentially overwhelming challenge to humanity, and in particular to our minds and sociability, with potentially very impactful health related benefits.
Without exaggerating, I feel that 2022 is a threshold year when innovative technologies make our bodies healthier but invade our mental spaces.
To first take a collection of the most popular trends, they cluster around web 3.0, NFTs, metaverse, social media and crypto currencies. In a brutal way that means that we will all spend more time out of the light, hunched over phones and doubting whether the people and things we have encountered in the metaverse are real at all, and whether it was worth investing USD 10,000 in a metaverse apartment.
This trend is historic because for the first time, and with only the force of religion (and maybe politics) as a rival, humans will spend time and enjoy experiences in an unreal world, and for some this will come to dominate their existence. Two very obvious side-effects will be sociability and mental health.
Quantum
In previous bulletins I have remarked that mental health needs to become a core pillar of how health services are reimagined, and it may be that the metaverse is the trigger (ironically it is used to help soldiers overcome post traumatic stress disorder).
Also on the positive side, the enormous advances in medicine and health tech much of it spurred by the coronavirus crisis, will have a positive effect on humans pending at least two factors, that the bounty of these advances can be as widely spread as possible, and that the ways in which they are delivered is rethought in the sense that healthcare systems need to change.
One inspiration here, and my second point, is that the rising attention that technologies like blockchain have cast on decentralized autonomous organisations effectively organisations run by a coded relationships between disparate parties, as opposed to a centralized or even hierarchical bureaucracy (i.e. healthcare systems). While it is a stretch to imagine that todays healthcare systems and other institutional arrangements can be quickly replaced by decentralized forms, there is much that blockchain can do to cut that bureaucracies (closer relationships between doctors, patients, billing and other parties like pharmacists).
DAO
A third related, threshold change in technological influence that is getting a lot of attention and capital, quantum computing (70% of startup level investment in tech hardware goes to quantum computing projects). Governments, notably China and the European Union are also spending heavily on it. In brief quantum computing is revolutionary in that it uses different arrangements of bits to produce more powerful processing. Though there are not yet many applications of quantum computing it has the capacity to dramatically change aspects of healthcare, finance and industrial sectors like chemicals.
Having already witnessed historic, positive changes that resulted from the pandemic the general patience and obeisance of the worlds population, the acceptance of working from home and the power of vaccines, we are now crossing a threshold in terms of how technology will change our bodies, as well as our minds and the ways we relate to the world.
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Will Innovation Make Us Better Off? - Forbes
Super-Resolution Imaging of a Single Cold Atom on a Nanosecond Timescale – SciTechDaily
The team of academician GUO Guangcan of University of Science and Technology of China (USTC) of the Chinese Academy of Sciences has made important progress in the research of cold atom super-resolution imaging. The team achieved super-resolution imaging of a single ion in an ion trap system. The results were published in Physical Review Letters.
The cold atom system is an ideal experimental platform for studying quantum physics, as well as an important physical system for experimental research on quantum simulation, quantum computing, and quantum precision measurement. One of the core experimental techniques in the cold atom system is high-resolution single-particle imaging. In the past ten years, the microscopic imaging technology of the cold atom system has developed rapidly. However, the newly developed technologies are still limited by the fundamental optical diffraction limit, and the resolution can only reach the order of optical wavelength. It is difficult to study quantum phenomena related to the details of the wave function. To study such problems requires optical super-resolution imaging.
Optical super-resolution imaging has developed into a mature tool in the fields of chemistry and biology. However, due to the complexity of cold atom experiments, it is extremely challenging to apply super-resolution imaging technology to cold atom systems. Prior to this, the world has not yet made progress on the direct super-resolution imaging of single atoms (ions).
In this study, the researchers adopted the main idea of the Stimulated Emission Depletion (STED) microscopy in the classical super-resolution imaging field, and combined it with the atomic quantum state initialization and reading technology of the cold atom system. They realized super-resolved imaging of a single cold atom (ion) directly for the first time.
Experimental results showed that the spatial resolution of the imaging method can exceed the diffraction limit by more than one order, and the imaging resolution of 175 nm can be achieved by using an objective lens with a numerical aperture of only 0.1.
To further demonstrate the time resolution advantage of this method, the researchers achieved both a time resolution of 50 ns and a single ion positioning accuracy of 10 nm, and used this method to clearly capture the rapid harmonic oscillations of the ion in the trap. Theoretically, by increasing the numerical aperture of the imaging objective and the center extinction ratio of the depleted light (the doughnut spot), the spatial resolution can be further improved to below 10 nm.
This experimental technique can be extended to the multi-body and correlation measurement of cold atom systems, and has good compatibility with other cold atom systems. It can be applied to optical lattices, neutral atom optical tweezers, and cold atom-ion hybrid systems.
Reference: Super-resolved Imaging of a Single Cold Atom on a Nanosecond Timescale by Zhong-Hua Qian, Jin-Ming Cui, Xi-Wang Luo, Yong-Xiang Zheng, Yun-Feng Huang, Ming-Zhong Ai, Ran He, Chuan-Feng Li and Guang-Can Guo, 23 December 2021, Physical Review Letters.DOI: 10.1103/PhysRevLett.127.263603
Originally posted here:
Super-Resolution Imaging of a Single Cold Atom on a Nanosecond Timescale - SciTechDaily
The tech that will change the dialogue n 2022 – Mint
We are living in a do-anything-from-anywhere economy enabled by an exponentially expanding data ecosystem. Its estimated that 65% of global gross domestic product (GDP) will be digital in 2022. This influx of data presents both opportunities and challenges. After all, success in our digital present and future relies on our ability to secure and maintain increasingly complex information technology (IT) systems. Here, I will examine near-term and long-term predictions that address the way the IT industry will deliver the platforms and capabilities to harness this data to transform our experiences at work, home and in the classroom.
The edge discussion will separate into two focus areasedge platforms that provide a stable pool of secure capacity for the diverse edge ecosystems and software-defined edge workloads or software stacks that extend application and data systems into real-world environments. We are already seeing this shift today. As we move into 2022, we expect edge platforms to become more capable and pervasive.
The opening of the private mobility ecosystem will accelerate with more cloud and IT industries involved on the path to 5G. The enterprise use of 5G is still early. In fact, today, 5G is not significantly different or better than WiFi in most enterprise use cases. This will change in 2022 as more modern and capable versions of 5G become available to enterprises.
More importantly, we expect the ecosystem delivering new and more capable private mobility, to expand and include IT providers, such as Dell Technologies, besides public cloud providers and even new open-source ecosystems focused on acceleration of the open 5G ecosystem.
Edge will become the new battleground for data management as it becomes a new class of workload. Data management and edge will increasingly converge and reinforce each other.
As the digital transformation accelerates, it has become clear that most of the data in the world will be created and acted on outside of centralized data centres. We expect that the entire data management ecosystem will become very active in developing and utilizing edge IT capacity as the ingress and egress of their data pipelines, and will also utilize edges to remotely process and digest data.
The security industry is now moving from discussion of emerging security concerns to a bias towards action. Enterprises and governments are facing threats of greater sophistication and impact on revenue and services. As a result, the security industry is responding with greater automation and integration. The industry is also pivoting from automated detection to prevention and response with a focus on applying artificial intelligence and machine learning to speed remediation.
Quantum computing: Hybrid quantum or classical compute will take centre-stage, providing greater access to quantum. In 2022, we expect two major industry consensuses to emerge. First, we expect the industry will see the inevitable topology of a quantum system in a hybrid quantum computer. The second major consensus is that quantum simulation using conventional computing will be the most cost-effective and accessible way to get quantum systems into the hands of our universities, data science teams and researchers. In fact, Dell and IBM already announced significant work in making quantum simulation available to the world.
Automotive: The automotive ecosystem will rapidly shift focus from a mechanical ecosystem to a data and compute industry. We are seeing a shift from internal combustion engines to electric vehicles, resulting in radical simplification of the physical supply chain. Dell is actively engaged with most of the worlds major automotive companies in their early efforts, and we expect 2022 to continue their evolution towards digital transformation and deep interaction with IT ecosystems.
Digital twins: Digital twins will become easier to create and consume as the technology is more clearly defined with dedicated tools. Over the next several years, we will see digital twins becoming easier to create and consume as we define standardized frameworks, solutions and platforms.
As a technology optimist, I increasingly see a world where humans and technology work together to deliver impactful outcomes at an unprecedented speed. These near-term and long-term perspectives are based on the strides we are making today. If we see even incremental improvement, there is enormous opportunity to positively transform the way we work, live and learn, and 2022 will be another year of accelerated technology innovation and adoption.
John Roese is global chief technology officer, Dell Technologies.
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The tech that will change the dialogue n 2022 - Mint
Is Taiwan’s Five-year Quantum Computing and Talent Initiative the Wrong Strategy for the Island Nation? – OODA Loop
Ukraine may be the Gray-zone in the headlines right now, but Taiwan is the more significant strategic hybrid warfare battlefield, in no small part due to its global leadership in semiconductor manufacturing. Considering the hype cycle around all things Quantum, you would think it would be positive, sound strategic news that Taiwanese leaders recently announced a strategic initiative focused on quantum computing. The Taiwan News and Focus Taiwan (CNA English News) translations are tough, but here are the basics of the Taiwan Quantum Initiative as reported in Mandarin Chinese by the aforementioned Taiwanese local press outlets:
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Is Taiwan's Five-year Quantum Computing and Talent Initiative the Wrong Strategy for the Island Nation? - OODA Loop
10 technology trends that could prove to be real game-changers – Mint
Smarter algorithms and machine language: AI has been the driving force for most products, applications and even devices that we use today. On 22 November, Gartner predicted that the total revenue in the AI software market is expected to hit $62.5 billion in 2022, an increase of 21.3% from 2021. The AI software market is picking up speed, but its long-term trajectory will depend on enterprises advancing their AI maturity," said Alys Woodward, senior research director at Gartner.
AI deployment in 2022 will be in knowledge management, virtual assistants, autonomous vehicles, digital workplaces and crowdsourced data, Gartner said. In addition, companies like Google are developing newer language learning models like LaMDALanguage Model for Dialogue Applicationswhich, the company claims, can hold their own in natural conversations.
Faster networks with bigger bandwidth: 5G has been in the works for what seems like years now, but 2022 may finally be the year we see these next-generation networks rolling out. India has already approved trial spectrum for telcos such as Bharti Airtel and Reliance Jio. The 5G spectrum auctions are expected in the first half of next year. 5G networks will start rolling out to the public next year if all goes well. In short, 5G means lower latency, which is what users perceive as speed. The new networks will allow new use cases for enterprises, enable smart city implementations and more.
Intelligent cloud and edge computing: The new use cases with 5G networks are heavily dependent on 5G. For instance, in September, Airtel tested Indias first cloud-gaming session in a 5G environment at its Manesar facility. The companys chief technology officer, Randip Sekhon, said cloud gaming would be among the biggest use cases" for 5G networks. The dependency on the cloud will only increase among enterprises.
Moreover, edge computing is finally set to flourish. It is helping enterprises bring the data and computing requirements closer to the users device. This trend will help make products like driverless or autonomous vehicles more efficient.
More interconnected devices that talk to each other: Earlier this month, Airtel, Invest India and the National Investment Promotion and Facilitation Agency announced a Startup Innovation Challenge. The challenge asks early-stage startups to create new use cases involving IoT. As data flows faster and computing power comes from large server farms using the cloud, more devices can start connecting and working as one. A June report by Gartner said the IoT endpoint electronics and communications market will touch $21.3 billion in 2022, increasing its forecast by 22% against the 2021 predictions. This is driven by governments using IoT for surveillance, enterprises using connected devices for everything from banking to communication, and delivering new products.
Privacy gaining ground: After about two years of deliberation, the joint parliamentary committee (JPC) on the Data Protection Bill was finally able to table its report on the bill during the ongoing winter session of Parliament. The JPC recommended that India have one bill to regulate personal and non-personal data and stop companies from profiling childrens accounts and using targeted ads for them. The bill also gives consumers rights over their data. But India isnt the only country looking into such data regulations. Indias bill borrows heavily from the European General Data Protection Regulation (GDPR), and governments worldwide are also considering such regulations. Big Tech firms are fighting lawsuits against government bodies, competition regulations and more. The outcome of all these cases will impact how our data is used in the future.
Mixing and blending realities: In 1964, an animated science-fiction franchise called Jonny Quest imagined a virtual world called QuestWorld. The protagonists would put on futuristic virtual reality (VR) headsets and fight battles in a virtual world. It was futuristic then, but VR and augmented reality (AR) headsets are all too familiar now. In fact, they have been for almost a decade now. But in 2021, Facebook launched a product called Ray-Ban Stories, partnering with eyeglass maker Ray-Ban for a pair of smart glasses that look and feel almost exactly like regular spectacles. Tech firms aim to make these devices ubiquitous and reach economies of scale that comes from selling millions of devices worldwide.
Immutable and interconnected ledgers: If AI was the key change maker over the past decade, blockchain might well enable the next step in the technology. According to many estimates, India has become one of the top players in cryptocurrency adoption worldwide, but whats seen as a trading asset today has more significant implications. Cryptocurrencies are powered by blockchain technology, and in April, the International Data Corp. said that organizations would spend as much as $6.6 billion on blockchain solutions in 2021 alonea 50% increase from 2020. The market researcher also predicted an annual average growth rate of 48% between 2020 and 2024. Indias second crypto unicorn, CoinSwitch Kuber, has said that it aims to support other blockchain firms in India. Industry stakeholders and experts understand that blockchains will power cross-border payments, banking and much more in future. Even the Reserve Bank of Indias upcoming Central Bank Digital Currency, or a digital rupee, will be powered by blockchain technologies.
The third generation of the internet: The hit HBO show Silicon Valley has imagined a new internet void of dominance by Big Tech firms, governments and more. The idea may sound utopian, but thats exactly what companies building apps for the third generation of the internet (web3) are building today. Companies like Google, Apple, Facebook and others benefit greatly from the fact that most of the worlds data flows through their servers. However, with web3, the power is handed back to the users in a way. It runs without servers, depends on a network of phones, computers and other devices, and bars any one person or entity on the network to wield control on datain a word, decentralization. For instance, Noida-based Ayush Ranjan has built the worlds first decentralized video chat app. Unlike Google Meet, Zoom, the Huddle 01 app doesnt require users to create an account, and the company doesnt have its own data centres to store your data in or record calls. Instead, it stores all the data in a decentralized manner and uses computing power from users devices to power the calls.
Rise of the metaverse: 5G, cloud computing, IoT, web3 are all tools in a larger vision that technologists and technology leaders have right now. And thats called the metaverse. Facebooks Mark Zuckerberg is so confident that the metaverse is coming that he rebranded his company, one of the most valuable in the world, to Meta as an effort to show where his focus is today. Author Neal Stephenson is often credited with coining the term in his 1992 novel Snow Crash, and it has also been explored in contemporary movies like Ready Player One. The metaverse is not a technology; it is a concept. Zuckerberg and others expect that we will do everything from conducting meetings to hosting parties in a virtual space and through very realistic looking avatars. Instead of shopping on an e-commerce store, the avatar will walk into a virtual store, try on a product and have the physical product delivered to our homes too. However, hardware veterans like Intels Raja Koduri have warned that the computing power we have today is nowhere close to being sufficient for the metaverse Zuckerberg imagines.
Quantum computing: That brings us to what could be the most transformational trend in technologyquantum computing. Any country with aspirations to be a leader in technology has its sights set on quantum computing. While web3 is a new internet, quantum computing establishes a whole new computer. Our traditional computers can take information in 0 and 1, and their computations are limited by this. Quantum computers, on the other hand, use concepts of quantum physics to enhance the amount of computing power we can use. A quantum computer is far from reality right now, and it could be the kind of computing power Koduri says we need for the metaverse. In the 2020 Budget, the government had allocated 8,000 crore over the next five years for developing quantum computing tech. It has also launched a Quantum Simulator, which allows researchers to build quantum applications without a real computer.
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10 technology trends that could prove to be real game-changers - Mint
Deep tech in 2022: the future is looking artificially intelligent – Information Age
Daan de Cloe, co-founder and CTO of AutoFill Technologies, provides his predictions for the deep tech space in 2022 and beyond
Deep tech capabilities powered by AI are set to make waves in the near future.
Whether a buzzword or not, its safe to say that deep tech is currently one of the hottest areas of interest for technologists and set to only gain traction in the coming years.
From artificial intelligence through to robotics, quantum computing, blockchain and biotech the list goes on the unique thing about deep tech is, albeit developed by commercial firms, it is not necessarily targeted at end-consumers. Based on research around engineering innovation with deep tech, scientists and technologists come together to collaborate towards a common goal, may that be finding the latest solution to a chronic disease, or the product idea that will positively impact societal challenges like climate change.
Due to its scientific, theoretical nature, a lot has been speculated on how deep tech can help us create tangible societal shifts and build a better future. But what does the future look like? More specifically, what sorts of technologies will make the most impact on the world? Ive got my bets on a few things.
When deep tech ties into a computers tangible components, and trained data sets are piping through a piece of hardware, the possibilities are endless. The increased combination of hardware and software, powered by edge computing, will bring the opportunities and applications of AI to a whole new level, resulting in enormous change of existing operational processes.
At the edge, processors that collect data are embedded within devices, and data is collected at its sources rather than in the cloud or a data centre. This massively accelerates the AI pipeline, unlocking a whole new variety of AI-powered functionalities.
I believe this will be a big focus for companies and industries in 2022, and its no surprise that leading computer systems companies, such as Nvidia, are investing heavily on their edge computing offerings.
Martin Percival, solutions architect at Red Hat, identifies three elements that are essential to the future of edge computing. Read here
Whilst the difficulties in developing practical versions of quantum computers have consequently confined them to the lab, its safe to say that the race to quantum supremacy will only grow tighter in 2022, led by the likes of Google and IBM. Its no longer a matter of if, but rather when quantum computers will become the new norm.
Simply put, quantum computers are able to solve complicated problems incredibly fast and effectively. In a few seconds, they can perform calculations that todays supercomputers would need decades or even millennia to work out. These sorts of problems range from a logistics company trying to determine the greenest route between 50 different cities and 300 addresses in real-time to reduce carbon emissions, to a pharmaceutical organisation experimenting with simulated molecules to predict drug interactions with a mutating virus.
By harnessing the strange world of quantum mechanics, quantum computer systems create multidimensional environments in which such large problems can be represented. Later, algorithms that apply quantum wave interference analyse all the different combinations and translate the optimal possibilities back into solutions we can understand and practically use.
This results in significantly higher processing efficiency and time-saving. For example, if you wanted to find one item in a list of 1 trillion, and each item took 1 microsecond to check, a classical computer would take about 1 week to find the item, whereas a quantum computer about 1 second.
That being said, theres no doubt that quantum computing will enable new, more advanced ways of machine learning. Thats because the ability to process very large quantities of data in micro periods of time improves the quality and accuracy of predictions and decisions made by artificial intelligence. It becomes intuitively smart and capable of identifying patterns. Better pattern recognition, in turn, allows for business leaders to keep a close eye on a chain of events and act proactively to avoid potential issues, instead of having to react to a situation that may have occurred.
So far, artificial intelligence has seen most of its applications in market sectors like professional & financial services, and high-tech telecoms. However, Ive observed a recent take on AI applications by the automotive, transport & mobility sector, and my guess is that the use of the technology in the industry will only increase in 2022.
Thats because as the population expands, governments must develop the infrastructure to support it. This includes better transport networks, of which AI has an enormous potential to increase safety and efficiency.
Take AI-powered automated inspections, for instance. AI enables continuous monitoring of even the remotest infrastructure, increases accuracy and objectivity, and triggers preventive maintenance. This ensures cost savings and improves safety, which can really make the difference between rolling out vital transport systems or not.
With traffic logistics optimised, the number of vehicle movements is consequently reduced, allowing for optimised traffic flow. Not only that, but a safe and reliable transport network further stimulates the use of public transport over car usage, supporting global ambitions to cut carbon emissions. Modernising, optimising, and enhancing quality control at scale will ensure that infrastructure remains resilient, inclusive, and sustainable.
Now, if theres one thing edge computing, quantum computing and automated technologies have in common, it is the use of AI as a key driver to innovation. There has been a significant leap in the way society harnesses artificial intelligence as an integral part of our lives. Im excited to see what the future holds next from the looks of it, its increasingly artificially intelligent.
Read more here:
Deep tech in 2022: the future is looking artificially intelligent - Information Age