Category Archives: Quantum Computing
Quantum computersare machines that use the properties of quantum physics to store data and perform calculations based on the probability of an objects state before it is measured. This can be extremely advantageous for certain tasks where they could vastlyoutperform even the best supercomputers.
Quantum computers canprocess massive and complex datasetsmore efficiently than classical computers. They use the fundamentals of quantum mechanics to speed up the process of solving complex calculations. Often, these computations incorporate a seemingly unlimited number of variables and the potential applications span industries from genomics to finance.
Classic computers, which include smartphones and laptops, carry out logical operations using the definite position of a physical state. They encode information in binary bits that can either be 0s or 1s. In quantum computing, operations instead use the quantum state of an object to produce the basic unit of memory called as a quantum bit or qubit. Qubits are made using physical systems, such as the spin of an electron or the orientation of a photon. These systems can be in many different arrangements all at once, a property known as quantum superposition. Qubits can also be inextricably linked together using a phenomenon called quantum entanglement. The result is that a series of qubits can represent different things simultaneously. These states are the undefined properties of an object before theyve been detected, such as the spin of an electron or the polarization of a photon.
Instead of having a clear position, unmeasured quantum states occur in a mixed superposition that can be entangled with those of other objects as their final outcomes will be mathematically related even. The complex mathematics behind these unsettled states of entangled spinning coins can be plugged into special algorithms to make short work of problems that would take a classical computer a long time to work out.
American physicist andNobel laureate Richard Feynmangave a note about quantum computers as early as 1959. He stated that when electronic components begin to reach microscopic scales, effects predicted by quantum mechanics occur, which might be exploited in the design of more powerful computers.
During the 1980s and 1990s, the theory of quantum computers advanced considerably beyond Feynmans early speculation. In 1985,David Deutschof the University of Oxford described the construction of quantum logic gates for a universal quantum computer.Peter Shor of AT&T devised an algorithmto factor numbers with a quantum computer that would require as few as six qubits in 1994. Later in 1998, Isaac Chuang of Los Alamos National Laboratory, Neil Gershenfeld of Massachusetts Institute of Technology (MIT) and Mark Kubince of the University of Californiacreated the first quantum computerwith 2 qubits, that could be loaded with data and output a solution.
Recently, Physicist David Wineland and his colleagues at the US National Institute for Standards and Technology (NIST) announced that they havecreated a 4-qubit quantum computerby entangling four ionized beryllium atoms using an electromagnetic trap. Today, quantum computing ispoised to upend entire industriesstarting from telecommunications to cybersecurity, advanced manufacturing, finance medicine and beyond.
There are three primary types of quantum computing. Each type differs by the amount of processing power (qubits) needed and the number of possible applications, as well as the time required to become commercially viable.
Quantum annealing is best for solving optimization problems. Researchers are trying to find the best and most efficient possible configuration among many possible combinations of variables.
Volkswagen recently conducted a quantum experiment to optimize traffic flows in the overcrowded city of Beijing, China. The experiment was run in partnership with Google and D-Wave Systems. Canadian company D-Wave developed quantum annealer. But, it is difficult to tell whether it actually has any real quantumness so far. The algorithm could successfully reduce traffic by choosing the ideal path for each vehicle.
Quantum simulations explore specific problems in quantum physics that are beyond the capacity of classical systems. Simulating complex quantum phenomena could be one of the most important applications of quantum computing. One area that is particularly promising for simulation is modeling the effect of a chemical stimulation on a large number of subatomic particles also known as quantum chemistry.
Universal quantum computers are the most powerful and most generally applicable, but also the hardest to build. Remarkably, a universal quantum computer would likely make use of over 100,000 qubits and some estimates put it at 1M qubits. But to the disappointment, the most qubits we can access now is just 128. The basic idea behind the universal quantum computer is that you could direct the machine at any massively complex computation and get a quick solution. This includes solving the aforementioned annealing equations, simulating quantum phenomena, and more.
Quantum computing promises to take on problems that were previously unsolvable. This whole new level of compute power will make it possible to crunch incredible volumes of data that traditional computers cant manage. It will allow researchers to develop new antibiotics, polymers, electrolytes, and so much more.
While the options for quantum computing uses may seem endless, the enterprise is still deciding if this is all just a pipe dream or a future reality.
TechRepublic Premium recently surveyed 598 professionals to learn what they know about quantum computing and what they dont. This report will fill in some of those gaps.
The survey asked the following questions:
Quantum computing is unknown territory for almost all of the survey respondents, as 90% stated that they had little to no understanding of the topic. In fact, only 11% of the 598 respondents said they had an excellent understanding of quantum computing.
Further, 36% of respondents said they were not sure which company was leading the race to develop a quantum computer. IBM got 28% of the votes, and Google got 18%. 1QBit and D-Wave each got 6% of votes. Honeywell came in at 3%.
In terms of industry impact, more than half of the respondents (58%) said that quantum computing will have either a significant impact or somewhat of an impact on the enterprise. While all industries will benefit through different use cases because quantum computing allows data to be consumed and processed faster while using less energy, 42% of survey respondents said IT would benefit the most. The pharmaceutical and finance sectors followed at 14% and 12%, respectfully.
To read all of the survey results, plus analysis, download the full report.
By: Anand Patil
On October 23, 2019, researchers from Google made an official announcement of a major breakthrough one that scientists compared to the Wright Brothers first flight, or even mans first moon landing. They said to have achieved Quantum Supremacy, meaning that they had created a Quantum Computer that could perform a calculation that is considered impossible by the classical computers of today. The announcement was a landmark, highlighting the possibilities of Quantum Computing.
The concept of Quantum Computing itself isnt new. It is a field that has been a point of interest of physicists and computer researchers since the 1980s. Googles announcement, however, has brought it to the mainstream, and shone a spotlight on the promise that this niche field of innovation holds. Of course, like someone once said, with great power comes with great responsibility, so this field isnt without complexities.
The Possibilities of Quantum Computing
Quantum Computing is a branch of computer science that is focused on leveraging the principles of quantum physics to develop computer technology. Quantum Computers hold the promise to power major advances in various fields that require complex calculations from materials science and pharmaceuticals to aerospace and artificial intelligence (AI).
So far, Quantum Computers have been nothing more than fancy laboratory experiments large and expensive but they have successfully demonstrated that the underlying principles are sound and have the potential to transform industries and accelerate innovation like never before. This has spurred scientific and industrial interest in this nascent field, giving rise to multiple projects across the world in pursuit of creating a viable, general-use Quantum Computer. That said, it may still be many years before Quantum Computers are commercially and generally available.
So Why Does It Matter Today?The possibility of Quantum Computers poses a serious challenge to cryptographic algorithms deployed widely today. Todays key-exchange algorithms, like RSA, Diffie-Hellman, and others, rely on very difficult mathematical problems such as prime factorization for their security, which a Quantum computer would be able to solve much faster than a classical computer.
For example, it would take a classical computer centuries or even longer, to break modern algorithms like DH, RSA-2048 etc. by using brute-force methods. However, given the power and efficiency of quantum machines in calculations such as finding prime factors of large numbers it may be possible for a quantum computer to break current asymmetric algorithms in a matter of days
So, while the encrypted internet is not at risk at the moment, all that a bad actor has to do is capture the encrypted data today including the initial key exchange, and then wait until a powerful enough quantum computer is available to decrypt it. This is particularly a problem for organizations that have large amounts of sensitive data that they need to protect over the long term such as Banks, Governments and Defense agencies.
What Can I Do Now?For organizations that could be at risk in the future, this is the best time to start evaluating post-quantum cryptography. Simply put, this means moving to algorithms and/or keys that are a lot more robust and can withstand a brute-force attack by a quantum computer i.e. quantum resistant.
The National Institute of Standards and Technology (NIST) in the US is leading the effort towards the standardization of post-quantum secure algorithms. However, given the lengthy process involved, this may take many years to fructify.
An alternative is to use Quantum Key Distribution (QKD) techniques with existing algorithms that are considered quantum-safe. This involves using a dedicated optical channel to exchange keys using the quantum properties of photons. Any attempt to tap this secure channel will lead to a change in the quantum state of the photon and can be immediately detected and therefore the key is unhackable. One of the limitations of QKD in this method is the need for a dedicated optical channel that cannot span more than 50km between the two terminals. Of course, this also means that the existing encryption devices or routers should be capable of ingesting such Quantum-Generated keys.
Post-Quantum Cryptography and CiscoCisco is an active contributor to the efforts to standardize post-quantum algorithms. However, recognizing that an implementable standard may be some years away, there is work ongoing to ensure that organizations are able to implement quantum-resistant encryption techniques in the interim, that leverage existing network devices like routers which are most commonly used as encryptors.
To start with, a team of veteran technical leaders and cryptography experts from Cisco US David McGrew, Scott Fluhrer, Lionel Florit and the engineering team in Cisco India lead by Amjad Inamdar and Ramas Rangaswamy developed an API interface called the Secure Key Import Protocol or SKIP through which Cisco routers can securely ingest keys from an external post-quantum key source. This allows existing Cisco routers to be quantum-ready, with just the addition of an external QKD system. Going forward, this team is working on a way to deliver quantum-safe encryption keys without the need for short-range point-to-point connections.
The advantage of this method is that organizations can integrate post-quantum key sources with existing networking gear in a modular fashion without the need to replace anything already installed. In this manner, you could create a quantum-ready network for all traffic with minimal effort.
Getting Ready for the Post-Quantum WorldQuantum Supremacy is an event which demonstrates that a quantum machine is able to solve a problem that no classical computer can solve in a feasible amount of time. This race has gathered momentum in the recent past with several companies joining the bandwagon, and some even claiming to have achieved it.
There is an unprecedented amount of attention focused on making a commercially viable quantum computer. Many believe it is inevitable, and only a question of time. When it does happen, the currently used cryptography techniques will become vulnerable, and therefore be limited in their security. The good news is, there are methods available to adopt strong encryption techniques that will remain secure even after quantum computers are generally available.
If you are an organization that wants to protect its sensitive data over the long term, you should start to evaluate post-quantum secure encryption techniques today. By leveraging existing networking infrastructure and adding suitable post-quantum key distribution techniques, it is possible to take a quantum leap in securing your data.
(The author is Director, Systems Engineering, Cisco India and SAARC and the views expressed in this article are his own)
A new 11.1m project has launched with the aim of uniting Irelands various quantum computer research groups.
Some of the biggest names in tech and research have joined forces with the aim of bolstering Irelands quantum computer efforts. The 11.1m Quantum Computing in Ireland (QCoir) initiative will work on a software platform integrating multiple quantum bit technologies being developed in Ireland.
Unlike a traditional binary computer that uses binary bits which can be either one or zero a quantum bit (qubit) can be one, zero or both at the same time. This gives quantum computers the power to solve some of the worlds most complex problems in a fraction of the time that it would take a binary computer.
QCoir partners include Equal1 Labs, IBM, Rockley Photonics, Maynooth University, the Tyndall National Institute, University College Dublin and Mastercard. The project received 7.3m in funding under the Disruptive Technologies Innovation Fund, a 500m fund established under Project Ireland 2040.
Quantum computing is seen as the future of computer technology, said Dr Emanuele Pelucchi, head of epitaxy and physics of nanostructures at Tyndall, based at University College Cork.
Its computing built on the principles of quantum physics, creating, storing and accessing data at atomic and subatomic levels to create vastly powerful computers.
Sources of multiple entangled photons uniquely allow for preparation of highly entangled quantum states. QCoir will leverage the on-chip photonic qubit platform based on site-controlled III-V quantum dots. These unique dots were developed at Tyndall.
Tyndalls CEO, Prof William Scanlon, added that the partnership will set the foundations for a national quantum ecosystem.
It brings together hardware and software providers with application users, and sees multinationals working side by side with researchers and SMEs, he said.
These kinds of industry and academic research partnerships are what will allow Ireland to build a quantum value proposition at international scale.
Quantum computing research is continuing to progress in Ireland. Earlier this year, a team from Trinity College Dublin said it had taken a major step towards the holy grail of quantum computing: a stable, small-scale quantum computer.
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IBM and Mastercard among partners of 11.1m Irish quantum project - Siliconrepublic.com
University of Rhode Island names respected professor, researcher, computational scientist to lead research computing efforts – URI Today
KINGSTON, R.I. Oct. 22, 2020 The University of Rhode Island has named Gaurav Khanna, Ph.D., its founding director of Research Computing. Khanna comes to URI from the University of Massachusetts Dartmouth where he served as a professor of physics and co-director of the universitys Center for Scientific Computing & Visualization Research.
A respected leader in research computing for more than a decade, Khanna has directed several scientific computing efforts at UMass Dartmouth, including supporting the research efforts of faculty members across the campus. He also served as the founding director for the interdisciplinary Engineering & Applied Sciences Ph.D. program, the largest Ph.D. program at UMass Dartmouth.
Im looking forward to building a research computing center at the University of Rhode Island that will help support and grow the research efforts of both junior and established researchers across its campuses, says Khanna. I intend to develop a wide array of computational resources (local, regional, cloud) with full support, to advance the diverse research work underway at Rhode Islands only public research university.
Khanna also served on multiple committees in the UMass system that play a role in the governance of the Massachusetts Green High-Performance Computing Center and noted the opportunity to make similar advances at URI, I look forward to the center innovating in the space of green and energy-efficient computing, and in the emerging area of quantum computing.
As an accomplished researcher in the area of black hole and gravitational physics, Khanna has been funded by the National Science Foundation for nearly two decades and has published nearly 100 papers in top peer-reviewed research journals. His research has been covered widely in outlets including Wired, Forbes, BBC, HPCWire, Discovery, Space.com and the New York Times.
Khanna earned a Bachelor of Technology degree from the Indian Institute of Technology Kanpur, India in 1995. He earned his Ph.D. from Penn State in 2000.
Quantum Computing Market Research including Growth Factors, Types and Application by regions by 2026 – Eurowire
TheQuantum Computing market research report offers a comprehensive analysis of market size, segmentation market growth, market share, competitive landscape, regional and country-level market size, the impact of Covid-19 on Quantum Computing industry & revenue pocket opportunities, sales analysis, impact of domestic and global market players, value chain optimization, new developments, M&A, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.
The meticulous data of the Quantum Computing market helps to know the current & future business situation. This report helps to take decisions for industry leaders include business professionals such as Chief Executive Officer (CEO), general managers, vice presidents, decision-makers and sales directors. The global Quantum Computing market showing promising growth opportunities over the forthcoming years.
The Quantum Computing market size is expected to grow at a CAGR of 21.26% in the forecast period of 2020 to 2026 and will expected to reach USD 381.6 Mn by 2026, from USD 81.6 Mn in 2018.
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Forproduct type segment, this report listed the main product type of Quantum Computing market
Forapplications segment, this report focuses on the status and outlook for key applications. End users are also listed.
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Key segments covered in the Quantum Computing market report:Major key companies, product type segment, end use/application segment and geography segment.
Company segment, the report includes global key players of Quantum Computing as well as some small players:
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Quantum Computing in Aerospace and Defense
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The market research extensively explores the effect of the COVID-19 outbreak on the market for Quantum Computing in Aerospace and Defense Market. Limits resulting in low sales and sector operators dominating the hospitality industry are at risk due to the lockdowns imposed to contain the spread of the virus, as cafes and restaurants have closed temporarily. Demand from food service providers is expected to recover, as the COVID-19 pandemic restrictions are easy. However, some participants may be forced to leave the sector.
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This detailed market analysis of Quantum Computing in Aerospace and Defense Market also provides a thorough summary and description of every segment offered in the analysis. Based on their market size, growth rate, and general attractiveness in terms of investment information and incremental value growth, the main segments are benchmarked. Market segmentation is divided into sub-groups, based on certain significant common attributes, into a wide customer or business market.
Segmented By Component (Hardware, Software, Services), By Application (QKD, Quantum Cryptanalysis, Quantum Sensing, Naval)
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The competitive market for Quantum Computing in Aerospace and Defense is measured by the number of domestic and foreign players participating in the market. The main focus is on the companys growth, merger, acquisition, and alliance, along with new product creation as measured strategies implemented by influential corporations to improve their customer market presence. D-Wave Systems Inc, Qxbranch LLC, IBM Corporation, Cambridge Quantum Computing Ltd, 1qb Information Technologies Inc., QC Ware Corp., Magiq Technologies Inc., Station Q-Microsoft Corporation, and Rigetti Computing are the prominent market participants examined and profiled in this study.
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Our response to Covid-19 offers a similar opportunity. Although theres no doubt we must focus on addressing immediate problems (schools, contact tracing, saving small businesses), we also should put thought into New Yorks future. Repairing is one thing, but designing a foundation is another. The new street grid, transit reforms and development policies that came out of 9/11 attest to the importance of the latter.
New York leaders should therefore take a few steps to chart the 21st century. In addition to controlling the virus and helping people in need, we must develop a grand strategy that recognizes the economic changes that were already happening before the pandemic, and leverage them in a way that benefits everyone.
Step one: capitalizing on emerging industries. Here the tech sector is a good starting point. Not only will tech companies continue to grow, but so too will tech aid and fuel the growth of every other kind of business. The areas that we should invest in include cybersecurity, quantum computing, artificial intelligence, transportation and smart manufacturing. Not only are they slated to create many jobs, but they also will increasingly undergird every other industry. A recent study on the projected impact of quantum computing on the New York economy, for instance, found that more than 57,000 new jobs will be generated in this area during the next five years, with that number expected to continue to grow as the technology advances. Policymakers and entrepreneurs need to work together to ensure that momentum keeps moving into the next decade, and create the right business conditions for New York to become an emerging tech hub.
Another way of putting this is reinvention by necessity. With more and more of our lives happening in a virtual world, the safety and efficiency challenges facing organizations have changed. Cyber threats, for example, are now a regular vulnerability for businesses and governments alike. Companies need rapid data processing like never before. Quantum computing and advanced malware detection are crucial for the economy. Not only will emerging tech generate growth, but it will also be a necessary component for the economy of tomorrow.
The next steps are doubling down on workforce development and ensuring that people can actually break into the sectors. Job openings in AI and cybersecurity dont mean much if New Yorkers arent qualified for them. We, therefore, need to expand our roster of digital skills programmingwhich includes computer science in the classroom, boot camps for aspiring coders, and a bevy of private training classes for entrepreneurs and workers. If the tech economy is to be inclusive, well need to put as much emphasis on teaching people the requisite skills as we do teaching them arithmetic.
Closing the digital divide is another step. Before Covid-19, we were already spending a lot of time online. In the midst of the pandemic, that trend has been amplified. People now need speedy, affordable internet connections to do their job, go to school, pay bills and get through each day. The fact that there are disparities in internet access is an impediment to the economy and only exacerbates existing inequalities. A strong 5G network throughout the city and state would help solve that issue and ultimately allow workers to take the necessary steps to move into the tech sector.
The good news is we already have parts of the foundation. New York has nearly unlimited investment resources, and state and local leaders have shown their appreciation for what tech can do.
The key is tying all the parts together and creating a new economy that offers opportunities to all.
Lynn McMahon is themanaging director of Accentures metro New York office. Julie Samuels is the executive director of Tech:NYC.
Global Smart Cities Market Analysis 2020-2025: AI, IoT, and 5G (AIoT5G) will be the Most Influential Technologies – 63%, 34%, and 52% Respectively -…
DUBLIN, Oct. 22, 2020 /PRNewswire/ -- The "Smart Cities Market by Strategy, Technology, and Outlook for Solutions, Applications and Services 2020 - 2025" report has been added to ResearchAndMarkets.com's offering.
This report evaluates the smart cities market including leading vendors and strategies (such as a single vs. multi-vendor centric approach), infrastructure, solutions, applications, and services. The report analyzes market factors driving solution adoption, technology readiness and fitness for use, and other considerations.
The report assesses the aforementioned factors to derive penetration and revenue to forecast market value for the period of 2020 - 2025. The report also analyses the role of technology accelerating digital transformation including AI, edge processing, 5G deployment and usage, and advanced data analytics.
Technological innovation is one of the driving factors for the development of cities. These innovations are also an important support for those searching for new ways to manage resources and deliver services. A lot of smart city technologies are being developed to manage specific issues in energy distribution, energy management, transportation management, and public safety. New generations of sensor networks, big data analytics, and IoT applications are being deployed in public and privately managed physical spaces to meet these requirements, though many challenges remain.
An important focus area for smart cities is technology infrastructure to enable smart utilities (smart grids, sanitation, water, and gas), smarter buildings, and workplaces. Systems and resources are intertwined as mobility, communications, energy, water, platforms, monitoring/control, performance management, predictability and forecasting all merge together. We see great synergy coming in public and corporate collaboration, but it will take up to twenty years to fully develop.
Major initiatives are beginning to make a substantial positive impact as critical milestones are achieved. This includes network and system interoperability, security and privacy controls, and technology integration. For the latter, one of the key areas that we see is the combination of AI and IoT forming "thinking" cities that rely upon the Artificial Intelligence of Things (AIoT). Industry verticals we see as early beneficiaries include utilities, public safety, and transportation. Specific AIoT-enhanced smart city solutions within these verticals are poised to improve the overall efficiency and operational effectiveness of delivery systems as well as human capital management.
Select Report Findings:
Select Report Benefits:
Key Topics Covered:
1.0 Executive Summary
2.0 Smart City Overview2.1 A Global Need for a Smarter Urban Environment2.2 All Cities are "Smart" but some are Smarter than Others
3.0 Smart City Strategy and Planning3.1 Smart City Considerations3.1.1 Existing vs. New City Approach3.1.2 Smart City Development Factors3.1.3 Smart City Services Life Cycle3.1.4 Smart Community Services3.2 Smart City Business Models3.2.1 Build Own Operate (BOO)3.2.2 Build Operate Transfer (BOT)3.2.3 Build Operate Manage (BOM)3.2.4 Open Business Model (OBM)
4.0 Smart City Market Analysis4.1 Smart City Market Drivers4.1.1 High Bandwidth, Low Latency, and Reliable Communications4.1.2 Reduced Energy Consumption with Smart Energy Solutions4.1.3 Active Citizen Engagement Leads to Greater Smart City Support4.1.4 Improving Governance Services and National Security4.1.5 Accelerating Digital Transformation4.1.6 Fostering Urban Development4.2 Smart City Solution Focus Areas4.2.1 Smart Utilities4.2.2 Smart Transportation: Roadways, Vehicles, and Parking4.2.3 Smart Residences, Commercial Buildings, and Workplaces4.2.4 Smart Industries4.3 Specific Smart City Solution Areas4.3.1 Asset Tracking and Control4.3.2 Field and Home Area Network Solutions4.3.3 AI and Big Data supported Smart City Hubs4.3.4 Smart City Applications in Citizen Service4.3.5 Mobility Solutions, Governance, and Security in Smart Cities
5.0 Smart City Technology Analysis5.1 Machine to Machine and Internet of Things5.1.1 Machine to Machine Technologies and Communications5.1.2 Internet of Things in Smart Cities5.2 Smart City Data Management Technologies and Solutions5.3 Artificial Intelligence in Smart Cities5.3.1 Artificial Intelligence of Things (AIoT) in Smart Cities5.3.2 Combined AIoT and Data Analytics in Smart Cities5.4 Metropolitan and Wide Area Communications5.4.1 WiMAX5.4.2 LTE5.4.3 5G5.5 Short Range Communication Technology5.5.1 WiFi5.5.2 RFID5.5.3 Li-Fi5.6 Next Generation Computing support of Smart Cities5.6.1 Edge Based Computing: Localized Processing5.6.2 High Performance and Quantum Computing
6.0 Smart City Development by Region and Country
7.0 Smart City Value Chain and Application Analysis7.1 Smart City Ecosystem Analysis7.2 Smart City Product and Service Provider Opportunity Analysis7.2.1 Smart City Network Service Providers7.2.2 Smart City Integrators7.2.3 Smart City Product Vendors7.2.4 Smart City Managed Service Providers7.3 Equipment vs. Software and Service based Approach
8.0 Smart City Vendor and Service Provider Analysis8.1 2020 Imaging8.2 ABB8.3 Accela8.4 Accenture8.5 Aclara8.6 Aclima8.7 Advantech8.8 Aeris Communications8.9 AGT International8.10 Airspan8.11 Airtel8.12 Alibaba8.13 Allegro8.14 Ally8.15 Alstom SA8.16 Altair Semiconductor8.17 Alvarion8.18 Amazon8.19 Ambience Data8.20 AMCS8.21 AMD8.22 America Movil8.23 Amplia Soluciones SL8.24 Analog Devices Inc.8.25 Apple8.26 Appyparking8.27 Altran8.28 Arista Networks Inc.8.29 ARM Holdings8.30 Ascom8.31 Asus8.32 AT&T8.33 Atos8.34 Autogrid8.35 Ayyeka8.36 Azavea8.37 Baidu Inc.8.38 Banyanwater8.39 Barbara IoT8.40 Bentley Systems8.41 Blackberry Ltd8.42 Bosch Software Innovations GmbH8.43 Breezometer8.44 Bridj8.45 Broadcom Corporation8.46 BT Group8.47 Blyncsy8.48 Calthorpe Analytics8.49 Capgemini8.50 Cavium Inc.8.51 China Mobile8.52 China Unicom8.53 Ciena Corporation8.54 CIMCON Lighting8.55 Cisco8.56 Citrix Systems8.57 Cityflo8.58 Citymapper8.59 Civicsmart8.60 Clarity Movement Co.8.61 Cobham Wireless8.62 Colt8.63 Compology8.64 Contus8.65 Cradlepoint8.66 Cubic Corporation8.67 CyanConnode8.68 Dassault Systems8.69 Delta Controls8.70 Dispatchr8.71 Double Map8.72 DOVU8.73 Elichens8.74 Emagin8.75 Emerson Electric Co8.76 Enel8.77 Energyworx8.78 Enevo8.79 ENGIE8.80 Ericsson8.81 Evopark8.82 EZparking8.83 Fathom8.84 Filament8.85 Flamencotech8.86 Flowlabs8.87 Fluentgrid8.88 GE8.89 Getmy Parking8.90 Google8.91 Gridcure8.92 HCL Technologies Ltd8.93 HFCL8.94 Hitachi8.95 Honeywell8.96 HPE8.97 Huawei8.98 IBM8.99 Infarm8.100 Inrix8.101 Inspira8.102 Intel8.103 Intelizon Energy8.104 Inventum Technologies8.105 Itron8.106 Johnson Controls8.107 Kapsch Group8.108 Koninklijke Philips NV8.109 KORE Wireless8.110 LG CNS8.111 Libelium8.112 Logic Ladder8.113 Mapillary8.114 Maven Systems8.115 Meter Feeder8.116 Metrotech8.117 Microsoft8.118 Mindteck8.119 Miovision8.120 Mobike8.121 Moovel8.122 Moovit8.123 NEC8.124 Neighborland8.125 Nokia8.126 Nordsense8.127 NTT DATA8.128 One Concern8.129 Oorja On Move8.130 Opendatasoft8.131 Opusone8.132 Oracle Corporation8.133 Panasonic8.134 Parkwhiz8.135 Passport8.136 Phoenix Robotix8.137 Plume Labs8.138 Proclivis Technology Solutions8.139 Purplewifi8.140 QInfra Solutions8.141 Qualcomm Incorporated8.142 Quality Theorem8.143 Rachio8.144 Remix8.145 Ridlr8.146 Rubicon8.147 SAP8.148 Schneider Electric SA8.149 Sentiance8.150 Siemens AG8.151 Sierra Wireless8.152 Sigfox8.153 Signify8.154 Soofa8.155 Spacetime Insight8.156 Spatial Labs, Inc.8.157 Spice Digital8.158 Spot Hero8.159 Stae8.160 Streetlight Data8.161 Swiftly8.162 Takadu8.163 Tantalum8.164 Telefonica8.165 Telensa8.166 Toshiba8.167 Tractebel8.168 Trafi8.169 Transit Labs8.170 Transit Screen8.171 Transloc8.172 Trilliant8.173 Understory8.174 UrbanFootprint8.175 Urbee8.176 Urbiotica (Spain)8.177 Utilidata8.178 Valor Water Analytics8.179 Varentec8.180 Veniam8.181 Veolia8.182 Verizon8.183 Videonetics Technologies8.184 Vodafone8.185 Volocopter8.186 Watersmart8.187 Where Is My Transport8.188 Wipro8.189 Worldsensing SL8.190 Zagster8.191 Zenysis8.192 Zerocycle8.193 ZiFF Technologies
9.0 Smart Cities Market Forecast 2020 - 20259.1 Global Smart Cities Market 2020 - 20259.1.1 Smart Cities Market in Aggregate9.1.2 Smart Cities Market by Technology9.1.3 Smart Cities Market by Application9.1.4 Artificial Intelligence Market in Smart Cities9.1.5 IoT Market in Smart Cities9.1.6 5G Market in Smart Cities9.1.7 Cloud Computing Market in Smart Cities9.1.8 Big Data Analytics Market in Smart Cities9.1.9 Quantum Computing Market in Smart Cities9.1.10 Edge Computing Market in Smart Cities9.1.11 High-Performance Computing Market in Smart Cities9.2 Regional Smart Cities Market Forecast 2020 - 2025
10.0 Smart City Market Summary, Conclusions, and Recommendations10.1 Advertisers and Media Companies10.2 Artificial Intelligence Providers10.3 Automotive Companies10.4 Broadband Infrastructure Providers10.5 Communication Service Providers10.6 Computing Companies10.7 Data Analytics Providers10.8 Immersive Technology (AR, VR, and MR) Providers10.9 Networking Equipment Providers10.10 Networking Security Providers10.11 Semiconductor Companies10.12 IoT Suppliers and Service Providers10.13 Software Providers10.14 Smart City System Integrators10.15 Automation System Providers10.16 Social Media Companies10.17 Workplace Solution Providers10.18 Enterprise and Government
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Quantum Computing Market 2020 | Outlook, Growth By Top Companies, Regions, Types, Applications, Drivers, Trends & Forecasts by 2025 – PRnews…
Market Study Report, LLC, has added a research study on Quantum Computing market which delivers a concise outline of the market share, market size, revenue estimation, geographical outlook and SWOT analysis of the business. The report further offers key insights based on growth opportunities and challenges as experienced by leaders of this industry, while evaluating their present standing in the market and growth strategies.
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Key features of Quantum Computing market report:
Regional Analysis of Quantum Computing market:
Quantum Computing Market Segmentation: Americas, APAC, Europe, Middle East & Africa
Overview of the regional terrain of Quantum Computing market:
Product types and application scope of Quantum Computing market:
Product types: Hardware, Software and Cloud Service
Key factors enclosed in the report:
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Application segmentation: Medical, Chemistry, Transportation, Manufacturing and Others
Details stated in the report:
Other details specified in the report:
Competitive spectrum of the Quantum Computing market:
Competitive landscape of Quantum Computing market: D-Wave Solutions, IBM, Microsoft, Rigetti Computing, Google, Anyon Systems Inc., Intel, Cambridge Quantum Computing Limited and Origin Quantum Computing Technology
Major features as per the report:
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