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Representative imageViacom18 and Times Internet have bagged the media rights for IPL's Package C (Non Exclusive- Special Digital Rights) and Package D (Rest of World) for the tenure 2023-2027.

Under Package D, Viacom18 has won Australia, South Africa , United Kingdom and Times Internet got MENA and the United States, as winners of Rest of the World Rights.

Package C includes 18 matches which have been given to Viacom18. Package D has been won by Times Internet and Viacom18.

The base price for Package C was Rs 16 crore and incremental bid was Rs 15 lacs. Whereas, Package D's base price stood at Rs three crore whereas incremental bid was Rs 10 Lacs.

Jay Shah announced the development on twitter.

The combined bids for package A and package B has crossed the INR 100 crore mark per match.

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IPL Media Rights: Viacom18 and Times Internet bag the overseas rights - ETBrandEquity

Tetrabyte Limited, founded in 2002 by James Cuthbert, is a highly scalable IT, Cloud, and Telecoms firm. With its exclusive offerings, the company is reported to be changing the narratives of its industry.

East Sussex, United Kingdom, 14th Jun 2022, King NewsWire, Tetrabyte is a countrywide remote IT service and support provider specializing in delivering commercial IT assistance and managed services. Tetrabyte is founded by James Cuthbert, who has specialized in IT for over 20 years.

Tetrabyte is an IT and Telecoms firm that has steadily grown into one of the UKs leading Managed IT and Telecoms firms, offering a diverse range of services to their national client base of accountants, solicitors, small, medium, and large businesses, and charities. They provide professional solutions backed by helpful, easy-to-reach support engineers.

Furthermore, the companys focus is to give exceptional customer care to each client by understanding their objectives and requirements. The staff collaborates with the entire organization and handles issues as they emerge without the lengthy delays that some IT firms impose. Tetrabyte Limited is also situated entirely in the United Kingdom and does not outsource any of its connections to call centers.

The Tetrabyte Team is made up of experts and talented professionals. The Managing Director isJames Cuthbert, who has spent the past 19 years in the IT industry, starting in client support and sales, working on a helpdesk, and eventually founding Tetrabyte Managed IT Support and Services. The IT Manager is Ashley, an IT expert who has a strong background in IT and is a Microsoft Certified Systems Engineer with a focus on Microsoft Exchange. Their HR and Marketing Manager is Valerie, who oversees team training and development and media and internet marketing. Finally, Steve is in charge of the companys money and accounts. As a result, Tetrabyte Limited engineers provide first-line total IT network management and are always available to give their Leading Business IT Support Solutions and Services.

About James Cuthbert the founder of Tetrabyte Limited

James has been working in IT for over 20 years, starting on an Acorn Computers BBC Master and then upgrading to a PC running Windows 3.1. He then proceeded to the entertaining 35-floppy-disk Windows 95 upgrade. James eventually began building his computers. When James was 17, he decided to start his own IT company. He had previously co-hosted Live TV in London from the now-defunct London Trocadero studios.

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James Cuthbert of Tetrabyte Limited gives a new definition to IT Services through his expertise. - Digital Journal

Quantum computing is an area of study focused on the development of computer based technologies centered around the principles ofquantum theory. Quantum theory explains the nature and behavior of energy and matter on thequantum(atomic and subatomic) level. Quantum computing uses a combination ofbitsto perform specific computational tasks. All at a much higher efficiency than their classical counterparts. Development ofquantum computersmark a leap forward in computing capability, with massive performance gains for specific use cases. For example quantum computing excels at like simulations.

The quantum computer gains much of its processing power through the ability for bits to be in multiple states at one time. They can perform tasks using a combination of 1s, 0s and both a 1 and 0 simultaneously. Current research centers in quantum computing include MIT, IBM, Oxford University, and the Los Alamos National Laboratory. In addition, developers have begun gaining access toquantum computers through cloud services.

Quantum computing began with finding its essential elements. In 1981, Paul Benioff at Argonne National Labs came up with the idea of a computer that operated with quantum mechanical principles. It is generally accepted that David Deutsch of Oxford University provided the critical idea behind quantum computing research. In 1984, he began to wonder about the possibility of designing a computer that was based exclusively on quantum rules, publishing a breakthrough paper a few months later.

Quantum Theory

Quantum theory's development began in 1900 with a presentation by Max Planck. The presentation was to the German Physical Society, in which Planck introduced the idea that energy and matter exists in individual units. Further developments by a number of scientists over the following thirty years led to the modern understanding of quantum theory.

Quantum Theory

Quantum theory's development began in 1900 with a presentation by Max Planck. The presentation was to the German Physical Society, in which Planck introduced the idea that energy and matter exists in individual units. Further developments by a number of scientists over the following thirty years led to the modern understanding of quantum theory.

The Essential Elements of Quantum Theory:

Further Developments of Quantum Theory

Niels Bohr proposed the Copenhagen interpretation of quantum theory. This theory asserts that a particle is whatever it is measured to be, but that it cannot be assumed to have specific properties, or even to exist, until it is measured. This relates to a principle called superposition. Superposition claims when we do not know what the state of a given object is, it is actually in all possible states simultaneously -- as long as we don't look to check.

To illustrate this theory, we can use the famous analogy of Schrodinger's Cat. First, we have a living cat and place it in a lead box. At this stage, there is no question that the cat is alive. Then throw in a vial of cyanide and seal the box. We do not know if the cat is alive or if it has broken the cyanide capsule and died. Since we do not know, the cat is both alive and dead, according to quantum law -- in a superposition of states. It is only when we break open the box and see what condition the cat is in that the superposition is lost, and the cat must be either alive or dead.

The principle that, in some way, one particle can exist in numerous states opens up profound implications for computing.

A Comparison of Classical and Quantum Computing

Classical computing relies on principles expressed by Boolean algebra; usually Operating with a 3 or 7-modelogic gateprinciple. Data must be processed in an exclusive binary state at any point in time; either 0 (off / false) or 1 (on / true). These values are binary digits, or bits. The millions of transistors and capacitors at the heart of computers can only be in one state at any point. In addition, there is still a limit as to how quickly these devices can be made to switch states. As we progress to smaller and faster circuits, we begin to reach the physical limits of materials and the threshold for classical laws of physics to apply.

The quantum computer operates with a two-mode logic gate:XORand a mode called QO1 (the ability to change 0 into a superposition of 0 and 1). In a quantum computer, a number of elemental particles such as electrons or photons can be used. Each particle is given a charge, or polarization, acting as a representation of 0 and/or 1. Each particle is called a quantum bit, or qubit. The nature and behavior of these particles form the basis of quantum computing and quantum supremacy. The two most relevant aspects of quantum physics are the principles of superposition andentanglement.

Superposition

Think of a qubit as an electron in a magnetic field. The electron's spin may be either in alignment with the field, which is known as aspin-upstate, or opposite to the field, which is known as aspin-downstate. Changing the electron's spin from one state to another is achieved by using a pulse of energy, such as from alaser. If only half a unit of laser energy is used, and the particle is isolated the particle from all external influences, the particle then enters a superposition of states. Behaving as if it were in both states simultaneously.

Each qubit utilized could take a superposition of both 0 and 1. Meaning, the number of computations a quantum computer could take is 2^n, where n is the number of qubits used. A quantum computer comprised of 500 qubits would have a potential to do 2^500 calculations in a single step. For reference, 2^500 is infinitely more atoms than there are in the known universe. These particles all interact with each other via quantum entanglement.

In comparison to classical, quantum computing counts as trueparallel processing. Classical computers today still only truly do one thing at a time. In classical computing, there are just two or more processors to constitute parallel processing.EntanglementParticles (like qubits) that have interacted at some point retain a type can be entangled with each other in pairs, in a process known ascorrelation. Knowing the spin state of one entangled particle - up or down -- gives away the spin of the other in the opposite direction. In addition, due to the superposition, the measured particle has no single spin direction before being measured. The spin state of the particle being measured is determined at the time of measurement and communicated to the correlated particle, which simultaneously assumes the opposite spin direction. The reason behind why is not yet explained.

Quantum entanglement allows qubits that are separated by large distances to interact with each other instantaneously (not limited to the speed of light). No matter how great the distance between the correlated particles, they will remain entangled as long as they are isolated.

Taken together, quantum superposition and entanglement create an enormously enhanced computing power. Where a 2-bit register in an ordinary computer can store only one of four binary configurations (00, 01, 10, or 11) at any given time, a 2-qubit register in a quantum computer can store all four numbers simultaneously. This is because each qubit represents two values. If more qubits are added, the increased capacity is expanded exponentially.

Quantum Programming

Quantum computing offers an ability to write programs in a completely new way. For example, a quantum computer could incorporate a programming sequence that would be along the lines of "take all the superpositions of all the prior computations." This would permit extremely fast ways of solving certain mathematical problems, such as factorization of large numbers.

The first quantum computing program appeared in 1994 by Peter Shor, who developed a quantum algorithm that could efficiently factorize large numbers.

The Problems - And Some Solutions

The benefits of quantum computing are promising, but there are huge obstacles to overcome still. Some problems with quantum computing are:

There are many problems to overcome, such as how to handle security and quantum cryptography. Long time quantum information storage has been a problem in the past too. However, breakthroughs in the last 15 years and in the recent past have made some form of quantum computing practical. There is still much debate as to whether this is less than a decade away or a hundred years into the future. However, the potential that this technology offers is attracting tremendous interest from both the government and the private sector. Military applications include the ability to break encryptions keys via brute force searches, while civilian applications range from DNA modeling to complex material science analysis.

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What is quantum computing? - TechTarget

Quantum computing is on the rise. Maybe not yet for the mainstream, but governments and industry giants have taken notice. Goldman Sachs is to introduce quantum algorithms in their pricing. Meanwhile, the US government added Chinese quantum computing firms to their export blacklist.

This level of attention is there for a good reason. Quantum computing is indomitable and could increase efficiency in various fields. Heres a quick lowdown on why its such a big deal.

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Quantum computing leverages the laws of quantum mechanics identified by physics. This branch of physics studies how the universe works at a subatomic level. Two of its properties, superposition, and entanglement, can be used to innovate computing as we know it today.

Superposition is the property that allows two different states to define a system. It is not just one or another, but it can be both at a given time. In classic computing, computers work through bits that have a value of either 1 or 0. Quantum computing uses an equivalent called qubits, which can have two values at a given time.

Quantum entanglement describes the phenomenon where quantum particles stay connected. No matter the distance, quantum particles maintain a connection with one another. What affects one particle can affect another.

These quantum properties translated to computing technology provide promising prospects. These are especially useful when exploring possibilities or going through massive amounts of data.

This is an entirely different way of computing from what we use today. Quantum computing, although a nascent technology, can lead to great leaps in innovation.

This emerging technology is flexible and can have significant applications in various industries. Here are a few key areas we can monitor.

Manufacturing requires efficient processes and designs to produce high-quality products.

The design process can be incredibly tedious. Industrial designers need to consider multiple variables to craft a working product. This is especially important in machinery, transportation, and electronics.

For example, designers often need several drafts when manufacturing a high-speed jet. This process ensures that they have the most efficient wing design for high speeds. It also applies to other key parts of the machine.

Quantum computing can help designers fish through the different possibilities faster. This technology can help them save time and create better designs for a better product.

It can also help manufacturers troubleshoot better. They can give a quantum computer their data on machine failure, and it can help figure out the problem areas.

Logistics is often a time and location-sensitive industry. Thus, it would benefit a lot from optimizing processes. There are a lot of factors to consider when transporting something from one place to another. You have supply chains, vehicle availability, traffic, and customer expectations, among others.

Quantum computing can help companies figure out the best routes for every shipment. This technology also considers real-life factors, such as weather and traffic.

Adopting quantum technology can change the game and fulfill customer standards for logistics. DHL and other logistics companies are already eyeing it as a trend with great potential.

Financial procedures often rely on a lot of complex mathematical processes. Analysts deal with many variables to predict possible outcomes of the market. Major events can require fast-paced responses that classic computers struggle to do.

Quantum computing can help make more accurate simulations and predictions of market activity. They are also a lot better at Monte Carlo simulations than traditional methods.

In finance, a Monte Carlo simulation allows analysts to look at many possible outcomes from an array of variables. These results help us understand the risks and possibilities, especially in financial forecasting. Quantum tech reduces the time and effort required for such operations.

Banking and financial giants recognize the possible applications of this emerging tech. JP Morgan Chase and Wells Fargo have already invested in quantum computing, powering the future of finance.

Chemical engineering deals with the manipulation of atoms and molecules. The field itself involves the application of quantum principles.

It is also a widely-encompassing field. Chemical engineering has applications in manufacturing, healthcare, construction, food processing, electronics, etc.

With such a wide variety of chemical configurations available, it can take time to find the right one. Quantum computing can help speed up these processes.

This application is beneficial in pharmaceuticals and vaccine development. Our experience with the COVID-19 pandemic has emphasized the need for urgent solutions.

Artificial intelligence is another emergent technology already making waves in the mainstream. It involves teaching machines vast amounts of knowledge to perform various tasks.

AI already has many applications in various fields. These include healthcare, e-commerce, education, finance, security, and media, among others.

Quantum computing can be a significant help in AI efforts. AI development requires the processing of vast amounts of data for machine learning. This helps the AI recognize patterns and make decisions better.

Although classic computing is doing its job, AI would benefit a lot from quantum tech. Faster processing can lead to better AI performance. Eventually, this can result in more human-like responses from AI.

If quantum computing is so great, why arent more industries using it? There are a few challenges that come with using quantum computing today.

The first issue is the complexity of quantum computing processes. Quantum computers are difficult to engineer and program. Thus it becomes challenging to find skilled individuals to operate and maintain the necessary machinery.

At the moment, quantum computers also require protected environments to operate. Yet, they make many mistakes due to the fragility of maintaining superposition and entanglement. They are also costly to maintain, so only large companies have them so far.

Quantum computing is still an emergent technology. It is not yet the standard, though many industry leaders see it in their future. It does have significant potential. But, it still needs further development to get into the mainstream.

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Applications of Quantum Computing | IEEE Computer Society

Many large tech companies have already invested heavily in quantum technologies, yet significant adoption of quantum computing has had its share of delays and false starts. However, with some recent announcements in the quantum sector, now seems to be the ideal time for organizations to take a closer look at quantum and consider how this approach could work for their business workloads. Organizations that have been historically focused on classical computing are now positioning quantum for the future.

In an ESG IT spending survey, 11% of respondents indicated their organizations were piloting quantum for a few applications, 17% indicated they are testing and 24% of respondents have begun research but are years away from production apps. Finally, 27% have expressed an interest in quantum computing but have not taken any action toward embracing it.

This slow growth in adoption is about to change -- and possibly quickly. As leading organizations explore new ways to produce faster results, accelerate buying cycles and improve performance, they have become more open to shifting away from purely classical solutions to accelerate adoption of quantum.

The industry is also discovering new methods and use cases that can be applied from classical to quantum computing platforms. Take, for example, the recent merger between Quantum Computing Inc. (QCI) and QPhoton, a quantum photonics company. Bill McGann, COO and CTO at QCI, discussed the merger.

Based on the information he shared, it seems that the combination of QCI and QPhoton capabilities can deliver a quantum computer that makes quantum systems more accessible for organizations, so they can see business results faster and more cost effectively. Another benefit of this merger is that the companies are broadening the user base to non-quantum experts, many of whom have been anxiously awaiting the opportunity to explore quantum-possible problems in areas like analytical optimization and drug discovery.

Using a full-stack approach, QCI and QPhoton together offer a unique opportunity to accelerate the delivery of practical quantum applications. This is the same process that drove value in classical computing. The merger of the two companies extends the QCI portfolio to help accelerate the accessibility of quantum computing for today's use cases, such as AI and optimization. This also enables quantum computing to operate at room temperatures, which is often a challenge with this type of computing.

When it comes to the finance use case, one way to understand how to pivot from classical to quantum computing is to think through how algorithms work.

For example, take a traditional investor model. With a financial algorithm, you must understand and look at predefined user parameters, such as investment goals, risk tolerances and diversity of funds. In this scenario, the investor wants to understand the user's investment preferences and risk tolerances. This data is "parameterized" -- meaning variables are created and passed on to the quantum computing model, which could use an artificial intelligence model employed by the quantum-compliant Monte Carlo algorithm or other techniques to process the investor's instructions, analyze the global asset-universe stochastic data and produce corresponding investor-inquiry output results.

Another emerging focus or concept coming out of the investor model is enabling users to autonomously process and analyze stochastic financial asset data. An interface -- proprietary or not -- could enable users to provide predefined input parameters representing their investment preferences and risk-tolerance levels, and then produce independent customized solutions for each user.

Depending on the type of user inquiry or request for analysis, a version of AI -- such as autonomous dispersion analytics or autonomous diversification and allocation machine learning -- could deploy to process the instructions and analyze asset stochastic data. This process would be very difficult to achieve in classical computing environments.

As IBM chief quantum exponent Robert Sutor explained in a blog post from last July, "Quantum computers will solve some problems that are completely impractical for classical computers." This indicates that organizations plan to adopt quantum into their existing environments.

"[QCI is committed to be the] democratizing force that empowers non-quantum experts to realize quantum value," said Robert Liscouski, CEO of QCI. The recent acquisition of QPhoton accelerates this ease-of-use approach.

Here are some thoughts to consider:

Although it is still early days for quantum computing, vendors in this area -- such as HPE, Dell and IBM -- are seeing some interesting use cases, and they are exploring them with partners and customers. If they can couple quantum computers with HPC systems, hey believe quantum computers can accelerate certain workloads. In this model, quantum computing can become an accelerator attached to a standard HPC system.

So, who in corporate IT is buying quantum solutions? According to quantum companies, data scientists in education, scientist labs and researchers are the primary users, while common buyers include airline businesses, financial institutions and academia. The conversations focus on the top five applications for initial quantum, which include but are not limited to the following targeted sectors: optimization, research, crypto, finance, materials science and healthcare.

Microsoft is making headway with Azure Quantum without a huge investment of hardware. These emulators also have a consortium of companies backing them. QCI, Honeywell, Toshiba, IonQ and iCloud are vendors that discussed their approach, using Azure to achieve their goals.

Google Quantum AI is mostly based on a simulator, but its progress has slowed down since its initial launch in 2019. The Sycamore computer shows potential but is still in its early stage. Amazon Web Services has a quantum computing center focused on R&D, testing and operating quantum processors to innovate and scale tech to support new, large-scale initiatives.

Quantum defines its growth by three horizons:

The promise of the quantum computer has been coming for a long time -- and the concept is now becoming a reality. The use of scaling of qubits in real-world environments is showing real potential.

According to Investopedia, "Quantum computing is an area of computing focused on developing computer technology based on the principles of quantum theory (which explains the behavior of energy and material on the atomic and subatomic levels)." When we look at today's computers, they are designed to encode information in bits that use values of 1 or 0, therefore restricting their ability to achieve this next level of processing. Quantum is a completely new way of computing that differs significantly from what we do today on traditional classical systems.

There are many companies trying to get in front of this "wave" because quantum processing is incredibly fast. Solving today's problems would be completed in a fraction of time. However, not all use cases work with quantum. The traditional systems coexist with quantum systems now and will continue to do so in the future.

ESG is a division of TechTarget.

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What's the current state of quantum computing? - TechTarget