Category Archives: Quantum Computing
Healthcare venture investment in 2020: Quantum computing gets a closer look – Healthcare IT News
Among the healthcare technologies venture firms be looking at most closely at in 2020, various artificial intelligence and machine learning applications are atop this list, of course. But so are more nuts-and-bolts tools like administrative process automation and patient engagement platforms, VCs say.
Other, more leading-edge technologies genomics-focused data and analytics, and even quantum computing are among the areas attracting investor interest this year.
"We expect 2020 to mark the first year where health IT venture firms will start to look at quantum computing technology for upcoming solutions," Dr. Anis Uzzaman, CEO and general partner of Pegasus Tech Ventures, told Healthcare IT News.
"With the breakthrough supremacy announcement from Google validating the technology and the subsequent launch of the service Amazon Braket in 2019, there is sure to be a new wave of entrepreneurial activity starting in 2020."
He said quantum computing technology holds a lot of promise for the healthcare industry with potential breakthroughs possible throughout the health IT stack from operations and administration to security.
Among the promising companies, Uzzaman pointed to Palo Alto-based QC Ware, a startup pioneering a software solution that enables companies to use a variety of quantum hardware platforms such as Rigetti and IBM to solve a variety of enterprise problems, including those specifically related to healthcare.
He also predicted artificial intelligence would continue to be at the forefront for health IT venture firms in 2020 as it becomes more clear which startups may be winners in their initial target sectors.
"There has been consistent growth of investment activity over the past few years into healthcare startups using artificial intelligence to target a range of areas from imaging to diagnostics," he said.
However, Uzzaman also noted regulation and long enterprise sales cycles have largely slowed the ability for these companies to significantly scale their revenues.
"Therefore, we anticipate 2020 will be the year where it will become clearer to health IT venture firms who will be winners in applying artificial intelligence to imaging, pathology, genomics, operations, diagnostics, transcription, and more," he said. "We will also continue to see moderate growth in the overall investment amount in machine learning and AI companies, but will see a notable decrease in the number of companies receiving an investment.
Uzzaman explained there were already some signs in late 2019 that there could be late in a short-term innovation cycle for artificial intelligence with many companies, particularly those applying machine learning and AI to robotics, shutting down.
"However, we anticipate many companies will reach greater scale with their solutions and separate themselves from the competition, which will translate into more mega funding rounds," he said.
Ezra Mehlman, managing partner with Health Enterprise Partners, explained that at the beginning of each year, the firm conducts a market mapping exercise to determine which healthcare IT categories are rising to the top of the prioritization queue of its network of hospital and health plan limited partners.
"In the past year, we have seen budgets meaningfully open for automation solutions in administrative processing, genomics-focused data and analytics offerings, aging-in-place technologies and, in particular, patient engagement platforms rooted in proven clinical use cases," he said. "We are actively looking at all of these spaces."
He pointed out that in 2018, more than $2 billion was invested into artificial intelligence and machine learning healthcare IT companies, which represented a quarter of the total dollars invested into digital health companies that year.
"We view this as a recognition of two things: the meteoric aspirations that the market has assigned to AI and machine learning's potential, and a general sense that the underlying healthcare data infrastructure has reached the point of maturity, where it is possible to realize ROI from AI/machine learning initiatives," he said.
However, he said Health Enterprise Partners is still waiting for the "breakout" to occur in adoption.
"We believe we have now reached the point where category leaders will emerge in each major healthcare AI subsector and the usage will become more widespread we have made one such investment in the clinical AI space in the last year," Mehlman said.
Heading into 2020, Mehlman said companies that cannot deliver high-six-figure, year-one ROI in the form of increased revenue or reduced cost will struggle, and companies that cannot crisply answer the question, "Who is the buyer and what is the budget?" will be challenged.
"If one applies these tests to some of the areas that have attracted the most healthcare VC investment--social determinants of health, blockchain and digital therapeutics to name a few the number of viable companies sharply drops off," he said.
Mehlman noted that while these sound like simple principles, the current environment of rapidly consolidating, budget-constrained hospitals, vertically integrating health plans, and big tech companies making inroads into healthcare has raised the bar on what is required for a healthcare startup to gain meaningful market traction.
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Healthcare venture investment in 2020: Quantum computing gets a closer look - Healthcare IT News
ASC20 Finals to be Held in Shenzhen, Tasks Include Quantum Computing Simulation and AI Language Exam – HPCwire
BEIJING, Jan. 21, 2020 The 2020 ASC Student Supercomputer Challenge (ASC20) announced the tasks for the new season: using supercomputers to simulate Quantum circuit and training AI models to take English test. These tasks can be unprecedented challenges for the 300+ ASC teams from around the world. From April 25 to 29, 2020, top 20 finalists will fiercely compete at SUSTech in Shenzhen, China.
ASC20 set up Quantum Computing tasks for the first time. Teams are going to use the QuEST (Quantum Exact Simulation Toolkit) running on supercomputers to simulate 30 qubits in two cases: quantum random circuits (random.c), and quantum fast Fourier transform circuits (GHZ_QFT.c). Quantum computing is a disruptive technology, considered to be the next generation high performance computing. However the R&D of quantum computers is lagging behind due to the unique properties of quantum. It adds extra difficulties for scientists to use real quantum computers to solve some of the most pressing problems such as particle physics modeling, cryptography, genetic engineering, and quantum machine learning. From this perspective, the quantum computing task presented in the ASC20 challenge, hopefully, will inspire new algorithms and architectures in this field.
The other task revealed is Language Exam Challenge. Teams will take on the challenge to train AI models on an English Cloze Test dataset, vying to achieve the highest test scores. The dataset covers multiple levels of English language tests in China, including the college entrance examination, College English Test Band 4 and Band 6, and others. Teaching the machines to understand human language is one of the most elusive and long-standing challenges in the field of AI. The ASC20 AI task signifies such a challenge, by using human-oriented problems to evaluate the performance of neural networks.
Wang Endong, ASC Challenge initiator, member of the Chinese Academy of Engineering and Chief Scientist at Inspur Group, said that through these tasks, students from all over the world get to access and learn the most cutting-edge computing technologies. ASC strives to foster supercomputing & AI talents of global vision, inspiring technical innovation.
Dr. Lu Chun, Vice President of SUSTech host of the ASC20 Finals, commented that supercomputers are important infrastructure for scientific innovation and economic development. SUSTech makes focused efforts on developing supercomputing and hosting ASC20, hoping to drive the training of supercomputing talent, international exchange and cooperation, as well as inter discipline development at SUSTech.
Furthermore, during January 15-16, 2020, the ASC20 organizing committee held a competition training camp in Beijing to help student teams prepare for the ongoing competition. HPC and AI experts from the State Key Laboratory of High-end Server and Storage Technology, Inspur, Intel, NVIDIA, Mellanox, Peng Cheng Laboratory and the Institute of Acoustics of the Chinese Academy of Sciences gathered to provide on-site coaching and guidance. Previous ASC winning teams also shared their successful experiences.
About ASC
The ASC Student Supercomputer Challenge is the worlds largest student supercomputer competition, sponsored and organized by Asia Supercomputer Community in China and supported by Asian, European, and American experts and institutions. The main objectives of ASC are to encourage exchange and training of young supercomputing talent from different countries, improve supercomputing applications and R&D capacity, boost the development of supercomputing, and promote technical and industrial innovation. The annual ASC Supercomputer Challenge was first held in 2012 and has since attracted over 8,500 undergraduates from all over the world. Learn more ASC athttps://www.asc-events.org/.
Source: ASC
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ASC20 Finals to be Held in Shenzhen, Tasks Include Quantum Computing Simulation and AI Language Exam - HPCwire
New Centers Lead the Way towards a Quantum Future – Energy.gov
The world of quantum is the world of the very, very small. At sizes near those of atoms and smaller, the rules of physics start morphing into something unrecognizableat least to us in the regular world. While quantum physics seems bizarre, it offers huge opportunities.
Quantum physics may hold the key to vast technological improvements in computing, sensing, and communication. Quantum computing may be able to solve problems in minutes that would take lifetimes on todays computers. Quantum sensors could act as extremely high-powered antennas for the military. Quantum communication systems could be nearly unhackable. But we dont have the knowledge or capacity to take advantage of these benefitsyet.
The Department of Energy (DOE) recently announced that it will establish Quantum Information Science Centers to help lay the foundation for these technologies. As Congress put forth in the National Quantum Initiative Act, the DOEs Office of Science will make awards for at least two and up to five centers.
These centers will draw on both quantum physics and information theory to give us a soup-to-nuts understanding of quantum systems. Teams of researchers from universities, DOE national laboratories, and private companies will run them. Their expertise in quantum theory, technology development, and engineering will help each center undertake major, cross-cutting challenges. The centers work will range from discovery research up to developing prototypes. Theyll also address a number of different technical areas. Each center must tackle at least two of these subjects: quantum communication, quantum computing and emulation, quantum devices and sensors, materials and chemistry for quantum systems, and quantum foundries for synthesis, fabrication, and integration.
The impacts wont stop at the centers themselves. Each center will have a plan in place to transfer technologies to industry or other research partners. Theyll also work to leverage DOEs existing facilities and collaborate with non-DOE projects.
As the nations largest supporter of basic research in the physical sciences, the Office of Science is thrilled to head this initiative. Although quantum physics depends on the behavior of very small things, the Quantum Information Science Centers will be a very big deal.
The Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, please visit https://www.energy.gov/science.
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New Centers Lead the Way towards a Quantum Future - Energy.gov
Toshiba says it created an algorithm that beats quantum computers using standard hardware – TechSpot
Something to look forward to: Some of the biggest problems that need solving in the enterprise world require sifting through vast amounts of data and finding the best possible solution given a number of factors and requirements, some of which are at times unknown. For years, quantum computing has been touted as the most promising jump in computational speed for certain kind of problems, but Toshiba says revisiting classical algorithms helped it develop a new one that can leverage existing silicon-based hardware to get a faster result.
Toshiba's announcement this week claims a new algorithm it's been perfecting for years is capable of analyzing market data much more quickly and efficiently than those used in some of the world's fastest supercomputers.
The algorithm is called the "Simulated Bifurcation Algorithm," and is supposedly good enough to be used in finding accurate approximate solutions for large-scale combinatorial optimization problems. In simpler terms, it can come up with a solution out of many possible ones for a particularly complex problem.
According to its inventor, Hayato Goto, it draws inspiration from the way quantum computers can efficiently comb through many possibilities. Work on SBA started in 2015, and Goto noticed that adding new inputs to a complex system with 100,000 variables makes it easy to solve it in a matter of seconds with a relatively small computational cost.
This essentially means that Toshiba's new algorithm could be used on standard desktop computers. To give you an idea how important this development is, Toshiba demonstrated last year that SBA can get highly accurate solutions for an optimization problem with 2,000 connected variables in 50 microseconds, or 10 times faster than laser-based quantum computers.
SBA is also highly scalable, meaning it can be made to work on clusters of CPUs or FPGAs, all thanks to the contributions of Kosuke Tatsumura, another one of Toshiba's senior researchers that specializes in semiconductors.
Companies like Microsoft, Google, IBM, and many others are racing to be the first with a truly viable quantum commercial system, but so far their approaches have produced limited results that live inside their labs.
Meanwhile, scientists like Goto and Kosuke are going back to the roots by exploring ways to improve on classical algorithms. Toshiba hopes to use SBA to optimize financial operations like currency trading and rapid-fire portfolio adjustments, but this could very well be used to calculate efficient routes for delivery services and molecular precision drug development.
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Toshiba says it created an algorithm that beats quantum computers using standard hardware - TechSpot
Quantum networking projected to be $5.5 billion market in 2025 – TechRepublic
Several companies are working to advance the technology, according to a new report.
The market for quantum networking is projected to reach $5.5 billion by 2025, according to a new report from Inside Quantum Technology (IQT).
While all computing systems rely on the ability to store and manipulate information in individual bits, quantum computers "leverage quantum mechanical phenomena to manipulate information" and to do so requires the use of quantum bits, or qubits, according to IBM.
SEE:Quantum computing: An insider's guide (TechRepublic)
Quantum computing is seen as the panacea for solving the problems computers are not equipped to handle now.
"For problems above a certain size and complexity, we don't have enough computational power on earth to tackle them,'' IBM said. This requires a new kind of computing, and this is where quantum comes in.
IQT says that quantum networking revenue comes primarily from quantum key distribution (QK), quantum cloud computing, and quantum sensor networks. Eventually, these strands will merge into a Quantum Internet, the report said.
Cloud access to quantum computers is core to the business models of many leading quantum computer companiessuch as IBM, Microsoft and Rigettias well as several leading academic institutions, according to the report.
Microsoft, for instance, designed a special programming language for quantum computers, called Q#, and released a Quantum Development Kit to help programmers create new applications, according to CBInsights.
One of Google's quantum computing projects involves working with NASA to apply the tech's optimization abilities to space travel.
The Quantum Internet network will have the same "geographical breadth of coverage as today's internet," the IQT report stated.
It will provide a powerful platform for communications among quantum computers and other quantum devices, the report said.
And will enable a quantum version of the Internet of Things. "Finally, quantum networks can be the most secure networks ever built completely invulnerable if constructed properly," the report said.
The report, "Quantum Networks: A Ten-Year Forecast and Opportunity Analysis," forecasts demand for quantum network equipment, software and services in both volume and value terms.
"The time has come when the rapidly developing quantum technology industry needs to quantify the opportunities coming out of quantum networking," said Lawrence Gasman, president of Inside Quantum Technology, in a statement.
Quantum Key Distribution (QKD) adds unbreakable coding of key distribution to public key encryption, making it virtually invulnerable, according to the report.
QKD is the first significant revenue source to come from the emerging Quantum Internet and will create almost $150 million in revenue in 2020, the report said.
QKD's early success is due to potential usersbig financial and government organizationshave an immediate need for 100% secure encryption, the IQT report stated.
By 2025, IQT projects that revenue from "quantum clouds" are expected to exceed $2 billion.
Although some large research and government organizations are buying quantum computers for on-premise use, the high cost of the machines coupled with the immaturity of the technology means that the majority of quantum users are accessing quantum through clouds, the report explained.
Quantum sensor networks promise enhanced navigation and positioning and more sensitive medical imaging modalities, among other use cases, the report said.
"This is a very diverse area in terms of both the range of applications and the maturity of the technology."
However, by 2025 revenue from quantum sensors is expected to reach about $1.2 billion.
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Quantum networking projected to be $5.5 billion market in 2025 - TechRepublic
University of Sheffield launches Quantum centre to develop the technologies of tomorrow – Quantaneo, the Quantum Computing Source
A new research centre with the potential to revolutionise computing, communication, sensing and imaging technologies is set to be launched by the University of Sheffield this week (22 January 2020).
The Sheffield Quantum Centre, which will be officially opened by Lord Jim ONeill, Chair of Chatham House and University of Sheffield alumnus, is bringing together more than 70 of the Universitys leading scientists and engineers to develop new quantum technologies.
Quantum technologies are a broad range of new materials, devices and information technology protocols in physics and engineering. They promise unprecedented capabilities and performance by exploiting phenomena that cannot be explained by classical physics.
Quantum technologies could lead to the development of more secure communications technologies and computers that can solve problems far beyond the capabilities of existing computers.
Research into quantum technologies is a high priority for the UK and many countries around the world. The UK government has invested heavily in quantum research as part of a national programme and has committed 1 billion in funding over 10 years.
Led by the Universitys Department of Physics and Astronomy, Department of Electronic and Electrical Engineering and Department of Computer Science, the Sheffield Quantum Centre will join a group of northern universities that are playing a significant role in the development of quantum technologies.
The University of Sheffield has a strong presence in quantum research with world leading capabilities in crystal growth, nanometre scale device fabrication and device physics research. A spin-out company has already been formed to help commercialise research, with another in preparation.
Professor Maurice Skolnick, Director of the Sheffield Quantum Centre, said: The University of Sheffield already has very considerable strengths in the highly topical area of quantum science and technology. I have strong expectation that the newly formed centre will bring together these diverse strengths to maximise their impact, both internally and more widely across UK universities and funding bodies.
During the opening ceremony, the Sheffield Quantum Centre will also launch its new 2.1 million Quantum Technology Capital equipment.
Funded by the Engineering and Physical Sciences Research Council (EPSRC), the equipment is a molecular beam epitaxy cluster tool designed to grow very high quality wafers of semiconductor materials types of materials that have numerous everyday applications such as in mobile phones and lasers that drive the internet.
The semiconductor materials also have many new quantum applications which researchers are focusing on developing.
Professor Jon Heffernan from the Universitys Department of Electronic and Electrical Engineering, added: The University of Sheffield has a 40-year history of pioneering developments in semiconductor science and technology and is host to the National Epitaxy Facility. With the addition of this new quantum technologies equipment I am confident our new research centre will lead to many new and exciting technological opportunities that can exploit the strange but powerful concepts from quantum science.
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University of Sheffield launches Quantum centre to develop the technologies of tomorrow - Quantaneo, the Quantum Computing Source
5 Emerging Technologies That Will Shape this Decade – San Diego Entertainer Magazine
UncategorizedByJohn Breaux|January 22, 2020
Some say that we are in the midst of a new technological revolution, with emerging technologies taking shape to transform the world we live in. As we step into a new decade, expect to see a handful of amazing advancements in technology that will dramatically shape our society at large.
Weve been told for years that self-driving cars are the future, but this decade will bring us the greatest advancements in this field as of yet. Companies have been researching and testing autonomous fleets of cars for years now, and some are finally gearing up to deploy them in the real world. Tesla has already released a self-driving feature in its popular electric vehicles, while Google-owned Waymo has completed a trial of autonomous taxi systems in California where it successfully transported more than 6000 people.
This radically powerful form of computing will continue to reach more practical applications throughout the decade. Quantum computers are capable of performing exponentially more powerful calculations when compared to traditional computing, but the size and power required to run them makes them difficult to use in a more practical sense. Further research in quantum, computing will allow greater application for solving real-world problems.
Augmenting our bodies with technology will become more common as wearable devices will allow us to improve everything from hearing to sight. Examples include devices and implants that will be able to enhance sensory capabilities, improve health, and contribute to a heightened quality of life and functional performance.
The advent of 5G will perhaps be one of the most impactful technologies for the many starting this year and proceeding onwards. 5G networks will have the capability of connecting us to the digital world in ways weve never had before, affording us blazing fast speeds of nearly 10 Gb/s. The speed of 5G will allow for seamless control of vast autonomous car fleets, precise robotic surgery, or streaming of 4K video with no buffering.
Drones are already a pivotal piece of technology in areas including transportation, surveillance, and logistics. Swarm robotics will be a new multi-robot system inspired by nature that will have major potential in completing tasks with unparalleled efficiency. Applications could include providing post-disaster relief, geological surveying, and even farming. Swarm robotics will be able to accomplish tasks through cooperative behavior while adapting to situations in ways that would not be possible with a single drone.
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5 Emerging Technologies That Will Shape this Decade - San Diego Entertainer Magazine
Is Quantum Technology The Future Of The World? – The Coin Republic
Steve Anderrson Saturday, 11 January 2020, 04:58 EST Modified date: Saturday, 11 January 2020, 04:58 EST
At a glance, the quantum volume is a measure of the complexity of a problem that a quantum computer can provide a solution. Quantum volume can also use to compare the performance of different quantum computers.
Ever since 2016, the IBM executives have doubled this value. In the 21st Century, Quantum computers have hailed as one of the most important innovations of the 21st century, along with potential applications in almost all fields of industries. Be it healthcare or artificial intelligence, and even financial modelling, to name a few.
Recently, quantum computers have also entered a new phase of development which can describe as practical. The first real quantum computer was launched in 2009 by Jonathan Holm. From that time, the quantum computer development has travelled a long way. At the moment, the industry driven by a handful of tech giants, including Google and IBM.
Even though IBMs latest advances viewed as significant advances, quantum computers can currently only be used for particular tasks. This indicates that they are far away from the general-purpose which classic computers serve us and to which we are used to.
Therefore, some people start worrying that the encryption technology which used to protect cryptocurrencies, for example, bitcoin may get destroyed. This worry is at least unfounded at present.
As the network is entirely built around the secure cryptographic transactions, a powerful quantum computer could eventually crack the encryption technology which used to generate Bitcoins private keys.
However, as per an article which was published by Martin Roetteler and various co-authors in June in 2017, such type of a machine requires approximately 2,500 qubits of processing power so that they can crack the 256-bit encryption technology which is used by Bitcoin.
Since the most powerful quantum computer which the world currently has only consisted of 72 qubit processors, one thing is clear that it will take several years for a quantum computer to reach the level of threatening encryption technology.
With the help of IBMs computing power which keeps doubling every year, and also the fact that Google has achieved quantum hegemony, Quantum might be working to ensure that Bitcoin can resist potential quantum computing attacks.
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Is Quantum Technology The Future Of The World? - The Coin Republic
Were approaching the limits of computer power we need new programmers now – The Guardian
Way back in the 1960s, Gordon Moore, the co-founder of Intel, observed that the number of transistors that could be fitted on a silicon chip was doubling every two years. Since the transistor count is related to processing power, that meant that computing power was effectively doubling every two years. Thus was born Moores law, which for most people working in the computer industry or at any rate those younger than 40 has provided the kind of bedrock certainty that Newtons laws of motion did for mechanical engineers.
There is, however, one difference. Moores law is just a statement of an empirical correlation observed over a particular period in history and we are reaching the limits of its application. In 2010, Moore himself predicted that the laws of physics would call a halt to the exponential increases. In terms of size of transistor, he said, you can see that were approaching the size of atoms, which is a fundamental barrier, but itll be two or three generations before we get that far but thats as far out as weve ever been able to see. We have another 10 to 20 years before we reach a fundamental limit.
Weve now reached 2020 and so the certainty that we will always have sufficiently powerful computing hardware for our expanding needs is beginning to look complacent. Since this has been obvious for decades to those in the business, theres been lots of research into ingenious ways of packing more computing power into machines, for example using multi-core architectures in which a CPU has two or more separate processing units called cores in the hope of postponing the awful day when the silicon chip finally runs out of road. (The new Apple Mac Pro, for example, is powered by a 28-core Intel Xeon processor.) And of course there is also a good deal of frenzied research into quantum computing, which could, in principle, be an epochal development.
But computing involves a combination of hardware and software and one of the predictable consequences of Moores law is that it made programmers lazier. Writing software is a craft and some people are better at it than others. They write code that is more elegant and, more importantly, leaner, so that it executes faster. In the early days, when the hardware was relatively primitive, craftsmanship really mattered. When Bill Gates was a lad, for example, he wrote a Basic interpreter for one of the earliest microcomputers, the TRS-80. Because the machine had only a tiny read-only memory, Gates had to fit it into just 16 kilobytes. He wrote it in assembly language to increase efficiency and save space; theres a legend that for years afterwards he could recite the entire program by heart.
There are thousands of stories like this from the early days of computing. But as Moores law took hold, the need to write lean, parsimonious code gradually disappeared and incentives changed. Programming became industrialised as software engineering. The construction of sprawling software ecosystems such as operating systems and commercial applications required large teams of developers; these then spawned associated bureaucracies of project managers and executives. Large software projects morphed into the kind of death march memorably chronicled in Fred Brookss celebrated book, The Mythical Man-Month, which was published in 1975 and has never been out of print, for the very good reason that its still relevant. And in the process, software became bloated and often inefficient.
But this didnt matter because the hardware was always delivering the computing power that concealed the bloatware problem. Conscientious programmers were often infuriated by this. The only consequence of the powerful hardware I see, wrote one, is that programmers write more and more bloated software on it. They become lazier, because the hardware is fast they do not try to learn algorithms nor to optimise their code this is crazy!
It is. In a lecture in 1997, Nathan Myhrvold, who was once Bill Gatess chief technology officer, set out his Four Laws of Software. 1: software is like a gas it expands to fill its container. 2: software grows until it is limited by Moores law. 3: software growth makes Moores law possible people buy new hardware because the software requires it. And, finally, 4: software is only limited by human ambition and expectation.
As Moores law reaches the end of its dominion, Myhrvolds laws suggest that we basically have only two options. Either we moderate our ambitions or we go back to writing leaner, more efficient code. In other words, back to the future.
What just happened?Writer and researcher Dan Wang has a remarkable review of the year in technology on his blog, including an informed, detached perspective on the prospects for Chinese domination of new tech.
Algorithm says noTheres a provocative essay by Cory Doctorow on the LA Review of Books blog on the innate conservatism of machine-learning.
Fall of the big beastsHow to lose a monopoly: Microsoft, IBM and antitrust is a terrific long-view essay about company survival and change by Benedict Evans on his blog.
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Were approaching the limits of computer power we need new programmers now - The Guardian
Quantum Computing Technologies Market to Witness Huge Growth by 2020-2025, Latest study reveals – ReportsPioneer
The Global Quantum Computing Technologies Market has witnessed continuous growth in the past few years and is projected to grow even further during the forecast period (2020-2025). The assessment provides a 360 view and insights, outlining the key outcomes of the industry. These insights help the business decision-makers to formulate better business plans and make informed decisions for improved profitability. In addition, the study helps venture capitalists in understanding the companies better and make informed decisions. Some of the key players in the Global Quantum Computing Technologies market are Airbus Group, Cambridge Quantum Computing, IBM, Google Quantum AI Lab, Microsoft Quantum Architectures, Nokia Bell Labs, Alibaba Group Holding Limited, Intel Corporation & Toshiba
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The Major Players Covered in this Report:Airbus Group, Cambridge Quantum Computing, IBM, Google Quantum AI Lab, Microsoft Quantum Architectures, Nokia Bell Labs, Alibaba Group Holding Limited, Intel Corporation & Toshiba
By the product type, the market is primarily split into:, Software & Hardware
By the end users/application, this report covers the following segments:Government, Business, High-Tech, Banking & Securities, Manufacturing & Logistics, Insurance & Other
Regional Analysis for Quantum Computing Technologies Market:United States, Europe, China, Japan, Southeast Asia, India & Central & South America
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The Quantum Computing Technologies market factors described in this report are:-Key Strategic Developments in Global Quantum Computing Technologies Market:The research includes the key strategic developments of the market, comprising R&D, M&A, agreements, new product launch, collaborations, partnerships, joint ventures, and regional growth of the key competitors functioning in the market on a global and regional scale.
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Table of Contents :Global Quantum Computing Technologies Market Study Coverage:It includes key manufacturers covered, key market segments, the scope of products offered in the global Colposcopy market, years considered, and study objectives. Additionally, it touches the segmentation study provided in the report on the basis of the type of product and application.
Global Quantum Computing Technologies Market Executive SummaryIt gives a summary of key studies, market growth rate, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.Global Quantum Computing Technologies Market Production by RegionHere, the report provides information related to import and export, production, revenue, and key players of all regional markets studied.Global Quantum Computing Technologies Market Profile of ManufacturersEach player profiled in this section is studied on the basis of SWOT analysis, their products, production, value, capacity, and other vital factors.
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Key Points Covered in Quantum Computing Technologies Market Report:Quantum Computing Technologies Overview, Definition and ClassificationMarket drivers and barriersQuantum Computing Technologies Market Competition by ManufacturersQuantum Computing Technologies Capacity, Production, Revenue (Value) by Region (2020-2025)Quantum Computing Technologies Supply (Production), Consumption, Export, Import by Region (2020-2025)Quantum Computing Technologies Production, Revenue (Value), Price Trend by Type {, Software & Hardware}Quantum Computing Technologies Market Analysis by Application {Government, Business, High-Tech, Banking & Securities, Manufacturing & Logistics, Insurance & Other}Quantum Computing Technologies Manufacturers Profiles/AnalysisQuantum Computing Technologies Manufacturing Cost AnalysisIndustrial/Supply Chain Analysis, Sourcing Strategy and Downstream BuyersMarketing Strategy by Key Manufacturers/Players, Connected Distributors/TradersStandardization, Regulatory and collaborative initiativesIndustry road map and value chainMarket Effect Factors Analysis
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Quantum Computing Technologies Market to Witness Huge Growth by 2020-2025, Latest study reveals - ReportsPioneer