Archive for the ‘Quantum Computing’ Category

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.

The new Quantum Computing market research report presents a granular analysis of the business outlook and also covers the world market overview. It throws lights on various market segmentations based on product type, application spectrum, well-established companies, and regions.

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Additionally, the document analyses the impact of COVID-19 on the market growth.

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 landscape:

Product types: Hardware, Software and Cloud Service

Key factors enclosed in the report:

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Application Landscape:

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:

For More Details On this Report: https://www.marketstudyreport.com/reports/global-quantum-computing-market-growth-status-and-outlook-2020-2025

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Quantum Computing Market 2020 | Outlook, Growth By Top Companies, Regions, Types, Applications, Drivers, Trends & Forecasts by 2025 - PRnews...

What is an algorithm? How computers know what to do with data – The Conversation US

The world of computing is full of buzzwords: AI, supercomputers, machine learning, the cloud, quantum computing and more. One word in particular is used throughout computing algorithm.

In the most general sense, an algorithm is a series of instructions telling a computer how to transform a set of facts about the world into useful information. The facts are data, and the useful information is knowledge for people, instructions for machines or input for yet another algorithm. There are many common examples of algorithms, from sorting sets of numbers to finding routes through maps to displaying information on a screen.

To get a feel for the concept of algorithms, think about getting dressed in the morning. Few people give it a second thought. But how would you write down your process or tell a 5-year-old your approach? Answering these questions in a detailed way yields an algorithm.

To a computer, input is the information needed to make decisions.

When you get dressed in the morning, what information do you need? First and foremost, you need to know what clothes are available to you in your closet. Then you might consider what the temperature is, what the weather forecast is for the day, what season it is and maybe some personal preferences.

All of this can be represented in data, which is essentially simple collections of numbers or words. For example, temperature is a number, and a weather forecast might be rainy or sunshine.

Next comes the heart of an algorithm computation. Computations involve arithmetic, decision-making and repetition.

So, how does this apply to getting dressed? You make decisions by doing some math on those input quantities. Whether you put on a jacket might depend on the temperature, and which jacket you choose might depend on the forecast. To a computer, part of our getting-dressed algorithm would look like if it is below 50 degrees and it is raining, then pick the rain jacket and a long-sleeved shirt to wear underneath it.

After picking your clothes, you then need to put them on. This is a key part of our algorithm. To a computer a repetition can be expressed like for each piece of clothing, put it on.

Finally, the last step of an algorithm is output expressing the answer. To a computer, output is usually more data, just like input. It allows computers to string algorithms together in complex fashions to produce more algorithms. However, output can also involve presenting information, for example putting words on a screen, producing auditory cues or some other form of communication.

So after getting dressed you step out into the world, ready for the elements and the gazes of the people around you. Maybe you even take a selfie and put it on Instagram to strut your stuff.

Sometimes its too complicated to spell out a decision-making process. A special category of algorithms, machine learning algorithms, try to learn based on a set of past decision-making examples. Machine learning is commonplace for things like recommendations, predictions and looking up information.

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For our getting-dressed example, a machine learning algorithm would be the equivalent of your remembering past decisions about what to wear, knowing how comfortable you feel wearing each item, and maybe which selfies got the most likes, and using that information to make better choices.

So, an algorithm is the process a computer uses to transform input data into output data. A simple concept, and yet every piece of technology that you touch involves many algorithms. Maybe the next time you grab your phone, see a Hollywood movie or check your email, you can ponder what sort of complex set of algorithms is behind the scenes.

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What is an algorithm? How computers know what to do with data - The Conversation US

Put Employees at the Center of Your Post-Pandemic Digital Strategy – Harvard Business Review

Executive Summary

Its time to rethink your digital strategy in the context of people. Its not just about adding new technologies like quantum computing, IoT, or AI, but how that tech will make your employees connect more effectively with their work. Its also time to shift from the here-and-now and look further out, revisiting your long-term strategies. To get the most out of your technology investments, you need to hit the pause button and think more about how you can connect your people to the goals you hope to achieve with that technology.

When the pandemic hit in March, many companies long-term plans and strategies were thrown out the window, as everyone from the frontlines to the C-suite shifted into fire-fighting mode. Many worked around the clock by leveraging remote technology. Its often been exhausting, as each day seems to bring new challenges and obstacles to overcome. As a result, the past six months have felt more like six years to a lot of us.

This pace isnt sustainable. While you may have needed your organization to run at 200 miles-per-hour as you learned to adjust to the new realities of the pandemic, youre now risking serious burnout among your team. Research shows that employees are reporting alarming levels of stress and fatigue, and the risk for depression among U.S. workers has risen by 102% as a result of the Covid-19 pandemic.

This is becoming a serious threat to organizations, including those who have already been forced to lay off staff or downsize. The paradox is that while many organizations have gained new efficiencies from embracing digital transformation using technologies such as Zoom to keep their workforce functioning remotely they may now risk losing their best employees, many of whom feel disconnected and disengaged in this new digital workplace. A recent survey from the consultancy KPMG found that losing talent is now the number one risk organizations face.

Thats why its time to rethink your digital strategy in the context of people. Its not just about adding new technologies like quantum computing, IoT, or AI, but how that tech will make your employees connect more effectively with their work. Its also time to shift from the here-and-now and look further out, revisiting your long-term strategies. To get the most out of your technology investments, you need to hit the pause button and think more about how you can connect your people to the goals you hope to achieve with that technology.

Over the course of my career, Ive studied more than 1,000 organizations and have coached more than 100 organizations that have undergone significant transformations. Over the past five years, Ive been particularly interested in the impact of DT and how organizations can leverage technology for growth. What Ive learned is that most digital transformation efforts fail often spectacularly which leads to hundreds of billions of dollars in wasted investment and the deterioration of employee engagement.

My mission has been to help coach organizations to achieve more positive outcomes through their digital transformation efforts. More recently, Ive been researching how the model I developed last year a transformation framework in partnership with the Project Management Institute (PMI), called The Brightline Transformation Framework can be applied to Covid-19 and its impact on organizational efforts to embrace digital transformation.

Specifically, this approach aligns the inside-out which means aligning every employees most important personal aspiration with the outside-in, where employees understand and embrace the companys strategic vision, so that everyone is working toward the same objectives.

Outside-In Approach. Employees must first understand and embrace the companys north star, including customer insights and megatrends, so everyone is working toward the same objectives.

Inside-Out Approach. Aligning every employees purpose or personal north star with those of the company includes:

Taking this approach is more relevant than ever in the wake of the pandemic, as it emphasizes that employees personal goals and engagement are the critical factors underpinning every successful transformation much more so than other elements like technology or business processes.

For organizations to thrive in a post-Covid world, while simultaneously tackling the challenges of burnout and the threat to employee retention, there is an urgent need to rethink these two key areas:

1. Bring the Outside In

The pandemic has changed the landscape of many industries ecosystems leading to an existential crisis for many organizations. Consider Airbnb, whose business suffered a loss of a billion dollars due to guest cancellations all while paying out some $250 million to compensate their hosts for their losses. The company now recognizes that nothing will ever be the same again. To help engage their team in adjusting to the new realities of the marketplace, the leadership team embarked on an outside-in transformation exercise that helped them identify their new north star; the transformational goal they wanted to achieve that could help propel the company forward for the long run.

As CEO Brian Chesky framed it, the companys new goal was to get back to our roots, back to the basics, back to what is truly special about Airbnb everyday people who host their homes and offer experiences. One of the trends Chesky and his team identified was that, as a result of the pandemic, there is a growing acceptance that people can now work from anywhere which could open up new opportunities to service customers interested in traveling and experiencing unique communities and cultures for an extended time. At the same time, the company has begun winding down activities that werent core to the business such as scaling back on investments in transports, hotels, and luxury properties.

2. Align Your Inside-Out with the Outside-In

Once Airbnb had established where it wanted to go, the company embarked on an inside-out journey with its employees helping them connect to the companys new north star by creating personal/team vision statements that aligned with the greater goal to help create the human connections that so many people miss these days. The idea was to enlist employees help in rebuilding the business, and to enlist their feedback on how they could directly impact the companys efforts to scale and prosper again.

Another Outside-In/Inside-Out transformation effort has been occurring at Kasikornbank (KBank), one of the largest banks in Thailand. [Disclosure: they are a client of mine.] The companys north star was not only to save jobs they kept all their workers during the pandemic but also to save their customers: small and medium-sized businesses. KBank and its employees worked closely with thousands of their clients to help them weather the storm by offering to delay their loan payments, as long as those businesses also avoided layoffs the kind of program usually only initiated by governments. Its estimated that KBanks efforts saved some 41,000 jobs, which gave their employees a sense of purpose, confidence, and loyalty as a result of their organization making such a positive difference to their country.

Covid-19 has taught us how connected and integrated we all are with each other and with the communities in which we operate. Its now time to give your employees the opportunity to understand how your organizations north star aligns with their desire to contribute to a meaningful cause. Thats how you get them to re-engage while recharging their emotional energy stores. The longer you wait to make these connections, the more your organization is at risk of losing the human capital it requires to thrive into the future, regardless of how much you spend on technology.

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Put Employees at the Center of Your Post-Pandemic Digital Strategy - Harvard Business Review

Most Read articles – LED drivers, Foundry market, Arm staffing – Electronics Weekly

What areas are covered? Theres Nexperia LED drivers, Fujitsu quantum computing, STs acquisition of SOMOS Semiconductor, Chinas share of the foundry market and the issue of Arm being legally required to hire more staff

5. Nexperia launches LED drivers in compact packageNexperia has brought out a range of LED drivers in the DFN2020D-6 (SOT1118D) package. This case style features side-wettable flanks (SWF) which facilitate the use of AOI (automated optical inspection), and improve reliability. This is the first time LED drivers have been available in this package. The leadless devices join Nexperias wide range of LED drivers in leaded packages offering equivalent performance yet reducing PCB space by up to 90% compared to SOT223.

4. Fujitsu collaborates to make practical quantum computing a realityFujitsu has joined with Riken and the universities of Tokyo, Osaka and Delft to make practical quantum computing a reality. The collaboration aims to achieve comprehensive and efficient advances in quantum computing by applying quantum computing to various fields currently facing problems that are extremely difficult to solve. Currently, even using superconducting chips which are leading the way in quantum computing, systems remain limited to about 50-qubits, making it hard to perform useful calculations.

3. ST buys SOMOS SemiconductorST has bought the assets of SOMOS Semiconductor of Marly-le-Roy (France) which specialises in silicon-based power amplifiers and in RF Front-End Modules products. With this acquisition, ST reinforces its specialist staff, IP and roadmaps of Front-End Modules for the IoT and 5G markets. A first product an NB-IoT / CAT-M1 module is already undergoing qualification and will be the inception of a new roadmap of connectivity RF FEM products.

2. China to take 22% of foundry market this yearChinas share of the pure-play foundry market is forecast to be 22% in 2020, 17 percentage points greater than it registered in 2010 (Figure 1). China was responsible for essentially all of the total pure-play foundry market increase in 2018. In 2019, the U.S./China trade war slowed Chinas economic growth but its foundry marketshare still increased by two percentage points to 21%. Japan is expected to remain the smallest market for pure-play foundry sales with only a 5% share this year.

1. Arm committed to hire 490 UK staff by September next yearArm is legally obliged to hire 490 UK-based staff in the next 12 months to meet the commitment undertaken by its owner Softbank when it bought the company in July 2016. Softbank committed to doubling the UK headcount by September 2021. When Softbank bought Arm it had 1,747 UK staff when Softbank bought it. Last week, takeover panel filings last week showed that it had increased UK staff numbers by 262 in the last 12 months to 3,004.

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Most Read articles - LED drivers, Foundry market, Arm staffing - Electronics Weekly

Quantum computing: Photon startup lights up the future of computers and cryptography – ZDNet

A fast-growing UK startup is quietly making strides in the promising field of quantum photonics. Cambridge-based company Nu Quantum is building devices that can emit and detect quantum particles of light, called single photons. With a freshly secured 2.1 million ($2.71 million) seed investment, these devices could one day underpin sophisticated quantum photonic systems, for applications ranging from quantum communications to quantum computing.

The company is developing high-performance light-emitting and light-detecting components, which operate at the single-photon level and at ambient temperature, and is building a business based on the combination of quantum optics, semiconductor photonics, and information theory, spun out of the University of Cambridge after eight years of research at the Cavendish Laboratory.

"Any quantum photonic system will start with a source of single photons, and end with a detector of single photons," Carmen Palacios-Berraquero, the CEO of Nu Quantum, tells ZDNet. "These technologies are different things, but we are bringing them together as two ends of a system. Being able to controllably do that is our main focus."

SEE: Hiring Kit: Computer Hardware Engineer (TechRepublic Premium)

As Palacios-Berraquero stresses, even generating single quantum particles of light is very technically demanding.

In fact, even the few quantum computers that exist today, which were designed by companies such as Google and IBM, rely on the quantum states of matter, rather than light. In other words, the superconducting qubits that can be found in those tech giants' devices rely on electrons, not photons.

Yet the superconducting qubits found in current quantum computers are, famously, very unstable. The devices have to operate in temperatures colder than those found in deep space to function, because thermal vibrations can cause qubits to fall from their quantum state. On top of impracticality, this also means that it is a huge challenge to scale up the number of qubits in the computer.

A photonic quantum computer could have huge advantages over its matter-based counterpart. Photons are much less prone to interact with their environment, which means they can retain their quantum state for much longer and over long distances. A photonic quantum computer could, in theory, operate at room temperature and as a result, scale up much faster.

The whole challenge comes from creating the first quantum photon, explains Palacios-Berraquero. "Being able to emit one photon at a time is a ground-breaking achievement. In fact, it has become the Holy Grail of quantum optics."

"But I worked on generating single photons for my PhD. That's the IP I brought to the table."

Carmen Palacios-Berraquero and the Nu Quantum team just secured a 2.1 million ($2.71 million) seed investment.

Combined with improved technologies in the fields of nanoscale semi-conductor fabrication, Palacios-Berraquero and her team set off to crack the single-photon generation problem.

Nu Quantum's products come in the form of two little boxes: the first one generates the single photons that can be used to build quantum systems for various applications, and the other measures the quantum signals emitted by the first one. The technology, maintains the startup CEO, is bringing quantum one step closer to commercialization and adoption.

"Between the source and the detector of single photons, many things can happen, from the simplest to the most complex," explains Palacios-Berraquero. "The most complex one being a photonic quantum computer, in which you have thousands of photons on one side and thousands of detectors on the other. And in the middle, of course, you have gates, and entanglement, and and, and and. But that's the most complex example."

A photonic quantum computer is still a very long-term ambition of the startup CEO. A simpler application, which Nu Quantum is already working on delivering commercially with the UK's National Physical Laboratory, is quantum random number generation a technology that can significantly boost the security of cryptographic keys that secure data.

The keys that are currently used to encrypt the data exchanged between two parties are generated thanks to classical algorithms. Classical computing is deterministic: a given input will always produce the same output, meaning that complete randomness is fundamentally impossible. As a result, classical algorithms are predictable to an extent. In cryptography, this means that security keys can be cracked fairly easily, given sufficient computing power.

Not so much with quantum. A fundamental property of quantum photons is that they behave randomly: for example, if a single photon is sent down a path that separates in two ways, there is no way of knowing deterministically which way the particle will choose to go through.

SEE: What is the quantum internet? Everything you need to know about the weird future of quantum networks

The technology that Nu Quantum is developing with the National Physical Laboratory, therefore, consists of a source of single photons, two detectors, and a two-way path linking the three devices. "If we say the right detector is a 1, and the left detector is a 0, you end up with a string of numbers that's totally random," says Palacios-Berraquero. "The more random, the more unpredictable the key is, and the more secure the encryption."

Nu Quantum is now focusing on commercializing quantum random number generation, but the objective is to build up systems that are increasingly complex as the technology improves. Palacios-Berraquero expects that in four or five years, the company will be able to start focusing on the next step.

One day, she hopes, Nu Quantum's devices could be used to connect quantum devices in a quantum internet a decade-long project contemplated by scientists in the US, the EU, and China, which would tap the laws of quantum mechanics to almost literally teleport some quantum information from one quantum device to the next. Doing so is likely to require single photons to be generated and distributed between senders and receivers, because of the light particles' capacity to travel longer distances.

In the shorter term, the startup will be focusing on investing the seed money it has just raised. On the radar, is a brand-new lab and headquarters in Cambridge, and tripling the size of the team with a recruitment drive for scientists, product team members and business functions.

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Quantum computing: Photon startup lights up the future of computers and cryptography - ZDNet