Archive for the ‘Quantum Computing’ Category

Low margins, low utilisation in Q3 were part of a deliberate strategy for better future quarters: Tech Mahindras Gurnani – The Hindu

`We are investing in new talent and ramping up our presence in tier-II towns to hedge attrition

`We are investing in new talent and ramping up our presence in tier-II towns to hedge attrition

Tech Mahindra, a digital transformation, consulting and business re-engineering services and solutions provider, this year will hire 10,000 freshers. The idea is to increase recruitment substantially in the next year, said the companys MD & CEO, C.P Gurnani in an interview. exclusive conversation with The Hindu. Edited excerpts:

We have got a robust engine for talent management, which hires from the market and also looks at internal fulfillment in a big way. This year, we will add about 10,000 freshers at the bottom of the pyramid and the idea is to really increase it substantially as we go forward in the next year.

To address this issue, we have planned for reskilling and upskilling a little ahead of time, thereby investing heavily in building new skills. In addition to reskilling the workforce, hiring more people, and training them in future skills, we are also investing in new talent and ramping up our presence in tier-II towns to hedge attrition. At Tech Mahindra, we have seen a decline in the attrition rate by 3.3% in Q3. So, overall, we feel confident in addressing the supply-side challenges.

With increased digital transformation across industries, even traditional sectors and businesses are willing to invest more in digitalisation. Therefore, the technology industry has been witnessing large deals recently from across industries. Sectors such as communication, healthcare, BFSI, enterprises are witnessing a strong deal momentum. For instance; in Q3FY22, Tech Mahindra reported deal wins of $704 million, which are broad-based across CME (communications, media and entertainment) and Enterprise verticals. This is the fourth consecutive quarter with such deal wins for us. This makes us committed to delivering more with a strong focus on disruptive technologies like metaverse, web3.0, 5G, blockchain, quantum computing, among others.

To start with, we know multiple industries, especially those involving discretionary spending, were hit hard.The overwhelming impact on the global healthcare system and the subsequent lockdowns and restrictions on activities resulted in huge disruptions globally. The IT industry, too, faced some challenges as remote working and security concerns of customers led to some delays and opportunity losses. However, the industry has been performing well, given an increase in the demand for software, social media platforms, smart solutions and emerging technologies in the new normal.

The acquisitions are in line with our strategy to strengthen digital capabilities and facilitate comprehensive transformation services to our customers globally.Our acquisition of Com Tec Co IT Ltd. (CTC) in January this year will allow us to expand our offerings to high-end digital engineering services for some of the largest insurance, reinsurance and financial services clients in the world. (CTC is an IT services provider focused on BFSI sectors with development centres in Latvia and Belarus). This acquisition will give us renewed focus for growth globally. We see a lot of potential in the insurance segment.

At Tech Mahindra, we are reskilling our associates in next-generation technologies to make them future-ready. We are also strengthening our learning ecosystem and programmes through new collaborations to fill the white spaces and provide a seamless new-age learning experience to our associates. UaaS platform was launched to accelerate the new-age skill developmentof over 60,000 employees globally so that they became a `fit-for-future workforce.The rise of emerging technologies necessitates professionals to upskill and adapt themselves to be productive, efficient, and relevant in the dynamic workplace. With this, organisations will also need to ensure future readiness of workforce by upskilling and reskilling them as well as attracting a more diverse and inclusive workforce with a flexible work structure.

Our Q3 margins were impacted by supply-side challenges and lower utilisation, which were part of a deliberate strategy we followed to augment the people supply, especially at the lower end of the pyramid so that we can bring down our cost of operation in the coming quarters. The headwinds were partially offset by operating leverage and some tailwind in SG&A (Selling, General and Administrative Expenses).

We have a strong focus on upskilling and widening our talent pool as we continue to become more diverse and inclusive. For this, we have already increased our hiring from tier-2 and tier-3 towns like Trivandrum, Vizag, Nagpur, Bhubaneswar, Chandigarh, Calcutta, Indore, Vijayawada, and Coimbatore, among others. We have hired almost more than 8,000 people from these centers in the last couple of quarters. Further, we now have access to talent from various nearshore centres like Mexico, Canada, Latvia, Romania, Costa Rica, and Belarus, among others. Our strategy of investing in internal talent training and hiring from tier-two towns will clearly make a difference.

The pandemic has caused massive disruptions and has changed the way we work, consume and communicate. Over the last two years, we have seen accelerated digitalisation across industries, pushing every enterprise to transform itself into a technology-based organisation. The disruptions in the digital and IT world will propel advances in new-age technologies such as quantum computing, cloud computing, the internet of things, artificial intelligence and machine learning.

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Low margins, low utilisation in Q3 were part of a deliberate strategy for better future quarters: Tech Mahindras Gurnani - The Hindu

Quantum Computing Market to Grow Exponentially; Increasing – GlobeNewswire

Pune, India, March 04, 2022 (GLOBE NEWSWIRE) -- The global Quantum Computing Market size was USD 392.5 million in 2020. The market is expected to grow from USD 486.1 million in 2021 to USD 3,180.9 million in 2028, exhibiting a CAGR of 30.8% during the forecast period. Increasing product applications and incorporating artificial intelligence (AI) and machine learning (ML). Fortune Business Insights presents this information in its report titled Quantum Computing Market, 2021-2028.

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Quantum computing is an advanced computer technology based on quantum theory and quantum mechanics. It deploys 0 and 1 bits but utilizes every state between 0 and 1, thereby providing excellent speeds. Its increasing applications in algorithms, cryptography, quantum parallelism, quantum simulation, and machine learning are expected to boost its sales. Furthermore, incorporating AI and ML technologies is expected to boost demand. These factors may propel the market growth during the upcoming years.

COVID-19 Impact

Rising Dependence Upon Digital Computing Solutions to Fuel Market Development

This market is expected to be positively impacted during the COVID-19 pandemic because of the rising dependence upon digital computing solutions. The alarming spike in COVID patients and the emergence of new virus variants may lead to the adoption of work-from-home and digitization. Rapid digitization and the adoption of advanced software may boost the adoption of the product. Furthermore, the rising adoption of e-commerce is expected to support industrial progress during the pandemic.

Players Profiled in the Quantum Computing Market Report

Click here to get the short-term and long-term impact of COVID-19 on this market.

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Segmentation

By component, the market is segmented into services, software, and hardware. By deployment, it is bifurcated into cloud-based and on-premise. Based on application, it is classified into electronic material discovery, financial services, biomedical simulations, optimization, machine learning, and others. As per end-users, it is categorized into manufacturing, chemical, energy and utilities, researchers, automotive, banking, financial services, and insurance (BFSI), healthcare, and others. Regionally, it is grouped into North America, South America, Europe, Middle East & Africa, and Asia Pacific.

Report Coverage

The report provides a detailed analysis of the top segments and the latest trends in the market. It comprehensively discusses the driving and restraining factors and the impact of COVID-19 on the market. Additionally, it examines the regional developments and the strategies undertaken by the market's key players.

Drivers and Restraints

Rising Government Investments and Strategic Alliances to Drive Industry Growth

Governments make extensive investments in quantum computing technologies to boost its adoption. For example, the German Federal Ministry of Education and Research provided USD 50.3 million to fund the Ion Trap Computer development in December 2021. This factor may boost the adoption of the computing solution. Furthermore, increasing strategic alliances may fuel the development of better-quality computing solutions. Moreover, rapid digitization and reliance on the Internet of Things (IoT) may boost its sales. These factors may drive the quantum computing market growth.

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Regional Insights

Early Adoption of Advanced Technologies to Fuel Market Growth in North America

North America is projected to dominate the quantum computing market share because of the early adoption of advanced technologies. The market in North America stood at USD 171.4 million in 2020 and is expected to gain a huge portion of the global market share. Further, the presence of a competitive market and adoption of latest technologies by end-users may augment market growth.

In Europe, the emergence of several startups, regulatory environments, and the rising adoption of cloud technologies is expected to boost sales. Furthermore, the expansion of businesses by key players is expected to boost market development.

In Asia Pacific, the rising demand for quantum computing solutions for machine learning, optimization, and simulation is expected to foster market development. Also, extensive adoption of novel technologies from the industrial sector is expected to surge industry development.

Competitive Landscape

Companies Launch Novel Products to Boost Brand Image

Prominent companies operating in the market launch novel products to boost their brand image. For example, Zurich Instruments announced its novel Superconducting Qubit Controller in November 2021. It integrates the qubit control and readouts to achieve 6 qubits in a device. SHFSG Signal Generator produces microwave pulses, and SHFQA Quantum Analyzer is fused together in a single box. It may enable companies to entice consumers and boost their brand image globally. Furthermore, adopting partnerships, mergers, research and development, expansions, and acquisition strategies may enable companies to achieve a remarkable market position.

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Industry Development

Table of Content

TOC Continued..

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Quantum Computing Market to Grow Exponentially; Increasing - GlobeNewswire

Quantiki | Quantum Information Portal and Wiki

Welcome to Quantiki

Welcome to Quantiki, the world's leading portal for everyone involved in quantum information science. No matter if you are a researcher, a student or an enthusiast of quantum theory, this is the place you are going to find useful and enjoyable! While here on Quantiki you can: browse our content, including fascinating and educative articles, then create your own account and log in to gain more editorial possibilities.

Add new content, such as information about upcoming quantum events, open positions for quantum scientists and existing quantum research groups. We also encourage to follow us using social media sites.

Tuesday, October 18, 2022 to Monday, October 24, 2022

The MWI solves the measurement problem, avoids action at a distance and indeterminism and does not contradict empirical evidence. Why, then, it is not in the consensus? The workshop will aim to promote the ongoing debate on the foundations of quantum mechanics by dealing with the major open questions regarding the MWI and its alternatives.

Thursday, April 7, 2022 to Sunday, August 7, 2022

Mini-conference at the intersection between classical and quantum variational algorithms to study quantum many-body systems.5 days of focused lectures and discussions among the 50 partecipants on a large terrace with boards and a beautiful view on the Geneva Lake. Registration is free and local expenses are covered by our sponsors. We encourage partecipants to submit a contributed talk.

A post-doctoral position is open at the Interdisciplinary Research Institute of Grenoble (IRIG) of the CEA Grenoble (France) on the theory and modeling of silicon/germanium spin quantum bits (qubits). The selected candidate is expected to start in July 2022 (or later), for up to three years.Global context:

We are looking for a postdoctoral researcher for the new Quantum Computing research group of Mariami Gachechiladze at the Technical University of Darmstadt, Germany.

Research area and topics: A successful candidate is expected to work on interdisciplinary projects within quantum information processing and foundations of quantum mechanics.

Thetheoretical division of Quantum Algorithms, directed by Prof. Leandro Aolita, at theQuantum Research Centre(QRC)of the Technology Innovation Institute(TII), in Abu Dhabi, UnitedArabEmirates, together with the Quantum Technology Research Group, directed by Junior ProfessorMartin Kliesch, at the Theoretical Physics Department of the Heinrich-Heine University of Dsseldorf (HHU), Germany, is seeking ahighly talented and motivated candidate for a PhD position in quantum algorithms and quantum computation theory.

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Quantiki | Quantum Information Portal and Wiki

The potential of quantum computing for manufacturing – The Manufacturer

Imagine looking for a needle in a haystack by examining each piece of hay. What if you could analyse the entire haystack at once, cutting down the location time of the needle drastically? This is what quantum computing can do compared to conventional computing.

Quantum computing could accelerate drug development, enhance encryption security and more. But how could it benefit the manufacturing industry? Here Neil Ballinger, Head of EMEA at EU Automation, explores the future of quantum computing for manufacturing.

Traditional computing represents information using a series of bits, where each bit is assigned a one or zero. Quantum computing, on the other hand, represents information in quantum bits or qubits. Each qubit can stand for an infinite number of states between one and zero.

In comparison to conventional computers, quantum computers can process a more substantial range of values concurrently. This means that quantum computers can solve even the most computationally intensive problems much faster than classical computers. Quantum computers are capable of outrunning even the most sophisticated supercomputers and solving issues currently unsolvable.

Its important to remember that comparing a classical computer to a quantum computer is essentially like comparing a candle to a lightbulb or bicycle to a jet plane, explained Vishal Shete, Head of Quantum Value Creation at Sia Partners. Quantum computing is a completely new paradigm shift that opens up a range of possibilities.

The application of quantum computing could open up infinite possibilities in a variety of fields, including manufacturing. The use of quantum computing could help create high energy-dense batteries, materials with more strength-to-weight ratios, and more efficient synthetic and catalytic processes.

However, these are not the only benefits quantum computing could have on the manufacturing industry the technology could benefit manufacturing design, control and supply chain.

Quantum computing could change the way manufacturers design products. Currently, computer simulation plays a crucial role in product design and pretesting. However, using computer simulations, safety margins can accumulate causing product weight differences and higher cost products.

If quantum computing was to replace conventional computer simulations, calculations for individual components paths, noise, vibrations and system loads could be inputted, increasing precision and accuracy. This would likely optimise the manufacturing of individual parts whilst still considering the overall system and reducing the impact of numerous safety margins. This would allow manufacturers to lower costs without sacrificing the performance of the system.

Product design is not the only part of the manufacturing process that could benefit from quantum computing. Manufacturing control processes can be complex, often testing the limits of advanced analytics. Combing quantum computing with machine learning could mean faster optimisation runs. This combination could allow manufacturers to go beyond the current limitations of classical computing by analysing additional interactive factors and processes to increase production yields.

Using quantum computing for supply chain and logistics would also enable the transformation of the manufacturing supply landscape. The application could optimise vendor orders, lower operational costs, reduce lost sales and improve accompanying logistics using dynamic real time decision making. Quantum computing could be the perfect addition to the digital supply chain toolbox of Industry 4.0.

Despite the benefits of quantum computing, this technology could also impact current encryption systems, having the capacity to break all current encryption codes and posing a threat to the internet, e-commerce, e-banking and mobile data as we currently know it. However, there is ongoing research on developing encryptions that quantum computers cannot break.

Instead of looking at quantum computing as a threat to the digital world as we know it, its important that manufacturers focus on its potential to revolutionise processes, while keeping an eye on new developments in cybersecurity that would allow them to safely implement this technology.

There may still be a long way to go, but quantum computing is set to become a key instrument for manufacturers. This technology could provide a clear edge to those ready to adopt a quantum future.

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The potential of quantum computing for manufacturing - The Manufacturer

DARPA asks Raytheon BBN and USC researchers to test limits of quantum computing for military applications – Military & Aerospace Electronics

ARLINGTON, Va. U.S. military researchers are asking two research organizations to find new ways of measuring the long-term utility of next-generation quantum computing technology for military applications.

Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., announced contracts in February to Raytheon BBN in Cambridge, Mass., and to the University of Southern California (USC) in Los Angeles for the Quantum Benchmarking program.

DARPA is asking Raytheon BBN and USC to determine if industry could design application-specific and hardware-agnostic benchmarks to test the utility of and best applications for quantum computers, as well as estimate the hardware resources necessary for quantum computing operations.

Raytheon BBN won a $2.9 million contract on 24 Feb. 2022, and USC won a $4.1 million contract on 23 Feb. 2022 for the DARPA Quantum Benchmarking program.

Related: Researchers approach industry for test metrics to measure the utility and efficiency of quantum computing

Future generations of quantum computing are expected to solve computing problems of unprecedented size and complexity, or those that today's most powerful computers are unable to solve. Quantum computing represents a new computing paradigm that capitalizes on the quantum mechanical phenomena of superposition and entanglement to create states that scale exponentially with number of quantum bits.

Experts believe that quantum computers within the next few decades will revolutionize scientific and technical fields like machine learning, quantum chemistry, materials discovery, molecular simulation, many-body physics, classification, nonlinear dynamics, supply chain optimization, drug discovery, battery catalysis, genomic analysis, fluid dynamics, and protein structure prediction.

For some of these examples, quantum computers are expected to be useful simulators. In others, quantum computers will be expected to handle combinatorial complexity that is intractable for conventional computers.

What today's computer scientists don't know, however, is what size, quality, and configuration of quantum computer would enable kinds of advances that military systems integrators will need in the future.

Related: Wanted: quantum computing with size, weight, and power consumption (SWaP) small enough for military missions

Still to be answered are questions like what applications could benefit most from quantum computing, and at what kind of scaling; how can systems integrators understand the new core computational capability of quantum computing; and what kind of metrics and testing procedures do scientists need for quantifying progress towards quantum computing capabilities.

That's where the DARPA Quantum Benchmarking project comes in. The project seeks to distil benchmarks for quantum utility to be useful for specific applications at specific scales -- especially using the kinds of metrics that suitable for driving research and development.

The Quantum Benchmarking contractors will create new benchmarks that quantitatively measure progress towards specific computational challenges. In parallel, the program seeks estimate the computer hardware necessary to measure benchmark performance. The project's benchmarks will be hardware-agnostic for problems where quantum approaches most likely will be needed.

The Quantum Benchmarking contractors will quantify the long-term utility of quantum computers by solving some hard problems from a list of application in a variety of military domains, and grouping these application by common enabling capabilities.

Related: The future of artificial intelligence and quantum computing

Raytheon BBN and USC also will develop test procedures for quantifying progress in research; create scalable multi-dimensional benchmarks; and develop tools for estimating necessary quantum hardware resources for hard-to-achieve military capabilities.

The two organizations will analyze applications that require large-scale, universal, fault-tolerant quantum computers; estimates of the classical and quantum resources necessary to execute quantum algorithms on large-scale; applications of fault tolerance and error correction; and nontraditional quantum computing paradigms.

Raytheon BBN and USC researchers will focus on two technical areas: hardware-agnostic approaches, and hardware-specific approaches.

For more information contact Raytheon BBN online at http://www.raytheonintelligenceandspace.com/what-we-do/bbn, USC at https://research.usc.edu, or DARPA at http://www.darpa.mil/program/quantum-benchmarking.

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DARPA asks Raytheon BBN and USC researchers to test limits of quantum computing for military applications - Military & Aerospace Electronics