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The creation of classical computing may have paved the way for the modern enterprise, but its also barely scratched the surface of the limits of data processing potential. In the future, quantum computers will amplify the resources that organizations have available to process their data.

While quantum computing will unlock powerful analytics and artificial intelligence (AI) processing capabilities, it also opens the door to serious security vulnerabilities, due to the ability of these computers to decrypt public-key algorithms.

This would give cybercriminals and nation-states the ability to openly decrypt information protected by public-key algorithms not just in the future, but also retrospectively by collecting encrypted data today to decrypt when quantum computers finally reach maturity.

Although researchers estimate that quantum computers could be able to do this as soon as 2030, with the Biden administrations CHIPS and Science Act [subscription required] being approved by Congress last week and setting aside $52 billion in subsidies to support semiconductor manufacturers, and $200 billion to aid research in AI, robotics and quantum computing this development could happen much sooner.

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The idea of quantum risk dates back to 1994, when mathematician and researcher Peter Shor created Shors algorithm, and discovered that it was theoretically possible to break cryptographic algorithms with number factorization.

This first highlighted the vulnerability of public-key algorithms that werent able to offer this level of factorization. However, not all forms of public-key encryption are as susceptible to exploitation as others, so its important not to panic about quantum risk.

Quantum computers cracking crypto sounds scary and will get people reading, but the reality is much more nuanced. Will some types of QC eventually be able to decode some of todays best crypto? Almost certainly. Will we have time to put measures in place before that happens? Signs point to yes, said Brian Hopkins, Forrester analyst.

Hopkins explains that, on the one hand, asymmetric key encryption algorithms like PKI are the most vulnerable, while symmetric key encryption is much less vulnerable, and one-time pads would remain pretty much unbreakable.

For Hopkins, the main risk posed by quantum computers lies in the fact that small advances in their infrastructure can oustrip classical systems and rapidly change the threat landscape.

If one of these firms [IBM, HPE, IonQ, Rigetti] figures out how to scale high-quality qubits more easily, we could see machines that double or triple in qubit number and quality every year to 18 months, Hopkins said. That means we could go from nothing to oh no in a few months.

Although its unclear when quantum computers will have the ability to decrypt public key algorithms, many commentators are concerned that threat actors and nation-states are in the process of stockpiling data thats encrypted today, which they will then decrypt when quantum computing advances.

One of the biggest risks at present is whats known as a HNDL attack This is an acronym for harvest now, decrypt later, where encrypted data is captured, stored and held onto until a quantum computer is able to unlock it, said Vikram Sharma, founder and CEO, QuintessenceLabs.

While this intercepted data is encrypted, this is a false sense of security; it will easily be decrypted by a threat actor with access to a quantum computer, Sharma said. Above all, new investments in quantum tech and geopolitical motivations mean the quantum risk threat has shifted from no longer if, to when.

One of the challenges around reacting to post-quantum threats is the lack of certainty around the future threat landscape, and what technologies are required to defend against them. Together, these factors make it difficult to justify investment in preventative and defensive post-quantum technologies.

Fortunately, post-quantum cryptography (PQC) solutions, essentially encryption services that cant be decrypted by quantum computers, offer a strong answer to these next-generation threats.

The key to being prepared for the evolving threat landscape is to act quickly. As Sharma said, By the time companies start feeling risk from a quantum computer, it will be much too late, because data that was stolen years ago will have been decrypted.

A simple first step is for organizations to start identifying data assets that could be vulnerable to the decryption of public-key algorithms. Conducting a quantum risk assessment can help them identify the impact a post-quantum incident could have on the organization as a whole.

With this information, security leaders can start to build a business case to justify spending on quantum resilience, identifying the potential financial impact of such an event, and put forward a proposed timeline to adopt any defensive solutions like PQC, quantum key distribution (QKD) or quantum random number generation (QRNG).

Just a month ago, NIST finally announced the first four post-quantum algorithms it would be choosing as its new post-quantum cryptographic standard.

This means those organizations facing advanced persistent threats (from nation-states, in particular) now have guidance on how to select quantum-resistant encryption for their highest-secrecy data moving forward, said Kayne McGladrey, IEEE senior member.

As part of the announcement, NIST selected some core algorithms for enterprise use cases. These include the CRYSTALS-Kyber algorithm for general encryption, and CRYSTALS-Dilithium, FALCON and SPHINCS+ for digital signatures (although it recommended Dilithium as the primary digital signature algorithm).

Vadim Lyubashevsky, a Cryptography Research Scientist at IBM who worked on Cyber and Dilithium, explains that the CRYSTALS-Kyber algorithm is extremely fast, with short public-key and ciphertext sizes, while Dilithium is advantageous over FALCON because its easier to implement and less error-prone.

Though these solutions are effective, Lyubashevsky warns that organizations should expect to mix adoption of quantum encryption alongside traditional public-key algorithms.

Realistically, what organizations should expect to implement are hybrid strategies that blend both quantum-safe protocols with existing cryptographic standards to ensure data is secure and protected against threats that exist now and that will arise in the near future, Lyubashevsky said.

As the era of quantum computing may arrive very soon, it is worth starting early on the journey to move from safe to quantum safe. The first step to get there is education: Understand quantum-safe cryptography and what its implications are for your organization. Partner with cryptographic experts to future-proof data encryption and make decisions that will protect your systems well into the future, Lyubashevsky said.

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Researchers from Simon Fraser University were successful in making a breakthrough in the field of quantum technology development. Their study paves the way for creating silicon-based quantum computing processors compatible with the existing semiconductor manufacturing technology.

The researchers light up the silicon chips tiny defects with intense light beams. Stephanie Simmons, the principal investigator of the research, explains that the imperfections of the chips serve as an information carrier. Investigators point out that the tiny defect reflects the transmitted light.

Some of the naturally occurring silicon imperfections may act as quantum bits or qubits. Scientists consider these defects as spin qubits. Also, previous research shows how silicon produces long-lived and stale qubits.

Daniel Higginbottom, their lead author, considers this breakthrough promising. He explains that the researchers were able to combine silicon defects with quantum physics when it was considered to be impossible to do before.

Furthermore, he notes that while silicon defects have been studied extensively from the 1970s to the 1990s and quantum physics research being done for decades, its only now that they saw these two studies come together. He says that by utilizing optical technology in silicon defects[theyve] have found something with applications in quantum technology thats certainly remarkable.

Simmons acknowledges that quantum computing is the future of computers with its capability to solve simple and complex problems, however, its still in its early stages. But with the use of silicon chips, the process can become more streamlined and bring quantum computing faster to the public than expected.

This study demonstrates the possibility of making quantum computers with enough power and scale to manage significant computation. It gives an opportunity for advancements in the fields of cybersecurity, chemistry, medicine, and other fields.

Photo credit: The feature image is symbolic and has been taken by Solar Seven.Sources: Chat News Today / Quantum Inspire

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Researchers Find Breakthrough on Quantum Computing With Silicon Chips - TechAcute

DUBLIN--(BUSINESS WIRE)--The "Quantum Technologies Global Market - Forecast to 2030" report has been added to ResearchAndMarkets.com's offering.

The quantum technologies global market is expected to grow at a high double digit CAGR of from 2021 to 2030 to reach $3,518.3 million by 2030.

The factors such as growing government and private venture funding for quantum technologies, increasing R&D expenditure of major technology companies to develop quantum technologies, strategic collaboration, partnerships, and mergers for the quantum technologies are driving the quantum technologies global market.

Whereas, the emergence of mobile and convenient quantum processors and the development of advanced quantum technologies provides immense growth opportunities for the market. The lack of skilled professionals, high cost and complexity associated with the development of quantum technologies, and cryptographic risk associated with quantum communications are hindering the market growth.

The market for quantum technologies is segmented based on technology, products, end-user, and geography. Based on the technology, the market is segmented into Quantum Computing, Quantum Sensing, and Quantum Communication. Among these, the Quantum Sensing segment is accounted for the highest revenue in 2021 and is expected to grow at an early teen CAGR from 2021 to 2030.

Quantum computing is expected to grow at a high double digit CAGR from 2021 to 2030. Based on the types of sensors, the Quantum Sensing global market is further segmented into Atomic Clocks, Magnetic Sensors, PAR Sensors, and Others. Among the sensors, the Atomic Clock segment is accounted for the highest revenue in 2021 and is expected to grow at an early teen CAGR from 2021 to 2030.

Magnetic Sensors is expected to grow at a mid teen CAGR from 2021 to 2030. Quantum computing is further segmented based on application and based on deployment. Based On application, the quantum computing global market is segmented into Machine Learning, Optimization, and Simulations. Among these, the Optimization segment is accounted for the highest revenue in 2021 and is expected to grow high double digit CAGR from 2021 to 2030.

The simulations segment is expected to grow at a high double digit CAGR from 2021 to 2030. Based on the deployment, the quantum computing global market is sub-segmented into on-premise and cloud-based. Among these, cloud-based deployment is accounted for the highest revenue in 2021 and is expected to grow at high double digit CAGR from 2021 to 2030.

Based on product the quantum technologies global market is divided into hardware, software, and services. Among these, the Hardware segment is accounted for the highest revenue of in 2021 and is expected to grow at a mid teen CAGR from 2021 to 2030. The services segment is expected to grow at a high double digit CAGR from 2021 to 2030.

Based on end-users, the quantum technologies global market is segmented into Healthcare, Banking, Financial Services and Insurance (BFSI), Energy, Oil and Gas, Chemical & Material science, Logistics and Distribution, Aerospace, Defense, and Others. Among these, the Aerospace segment is accounted for the highest revenue in 2021 and is expected to grow at a high double digit CAGR from 2021 to 2030. The healthcare segment is expected to grow at a high double digit CAGR from 2021 to 2030.

North America accounted for the largest revenue in 2021 and is expected to grow at a high double digit CAGR from 2021 to 2030. The factors such as increasing R&D expenditure, growing industries, the establishment of quantum research centers, development of national strategy by the government, the presence of major technology companies, increasing collaboration between quantum technology companies and industries, and the increasing number of quantum computing start-ups companies are driving the quantum technologies market in the region.

Europe is expected to grow at a high double digit CAGR from 2021 to 2030. The factors such as growing industry, the launch of quantum research programs with government investment, development of various consortiums by collaborating with large industrial partners, small and medium-sized enterprises (SMEs), start-ups, and research organizations to build a quantum computer into usable industrial applications, increasing private venture funding, the launch of new research programmers, increasing collaboration between quantum technology companies and industries, collaboration with other countries, merging between quantum technology companies to explore different application areas and growing start-up company activities are driving the quantum technologies market in the region.

The quantum technologies global market is competitive and all the players in this market are involved in strategic collaboration, partnership, mergers, and new product launches in quantum technologies to expand their product portfolio and maintain their market shares.

Factors Influencing Market

Drivers and Opportunities

Restraints and Threats

Porter's Five Force Analysis

Patent Analysis

Funding Analysis

Deal Analysis

Quantum Technologies (New Product Launch)

Quantum Technology Partnerships

Matrix of Quantum Technologies Companies

Market Share Analysis Based on Major Players

The key players in the quantum technologies global market include

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/ib6vc3

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Quantum Technologies Market Research Report 2022 - Global Forecast to 2030: Strategic Collaboration, Mergers, and Technology Partnerships -...

At Quantum Quest, an all-girls quantum computing camp, 20 teenage female students recently stood on the precipice of a brand new technology: quantum coding.

(Scientists) use quantum computers, program manager Gabbie Meis said. (Quantum computers) actually use quantum mechanics to solve some of the worlds largest problems, like things with lots of data or simulations that our classical computers just dont have enough power to do. Instead of our classical computers, quantum computers are actually an entirely different type of machine that is still being developed today.

This kind of computer requires quantum coding and when programmed could be used to help solve problems like mitigating the impacts of climate change; transportation mapping, such as figuring out how to remap the entire country of Australia with more efficient roadways; or even biomedical research, such as protein folding for vaccine development or drug discovery research.

Back in 2019 Google ran a problem on their quantum computer that they estimated would take the most powerful supercomputer about 10,000 years to solve, Meis said. They said they got their (quantum) computers to solve it in less than two days.

During the camp, students learned the programming language, Qiskit, an open source (free) software development kit. Meis called it a Python-backed library, Python being a programming language. Qiskit allows the students classical computers the kind most of use at home to communicate with quantum computers. Ironically, although the students all had their laptops open, the learning was done on dry erase boards.

Quantum is interdisciplinary so theyre learning the basics in linear algebra, Meis said. Theyre learning computer science and how to code in Python, and theyre learning quantum physics, all wrapped in this single week.

The Coding School, located in Southern California, has a quantum coding initiative called Qubit by Qubit, the most basic unit of information in quantum computing. The initiative seeks to make quantum computing education accessible to students in K-12, because as it stands right now, according to Meis, students dont usually see quantum computing until they are graduate students.

To bring quantum coding to the masses, the school developed the Quantum Quest camp and partners with other organizations to offer it locally. For Tucson, they partnered with the University of Arizonas Office of Societal Impact and the Girl Scouts of Southern Arizona (GSSA).

When this all came about it was the perfect marriage between the Coding School, the U of A and the Girl Scouts in trying to bring accessibility to this more advanced part of STEM, said Colleen McDonald, director of staff supported programs for the GSSA. As Girl Scouts we see ourselves as the connector. We want to make sure that all girls have access to it.

The Coding School has been offering this camp for some time this is its 10th camp but its the first time its been offered in Tucson. Camp topics included everything from foundational concepts that make up the quantum world such as entanglement and qubits, and end with teaching girls how to code real quantum computers.

Its all new science. These students are at the very foundation of quantum coding, according to Meis, and that is part of why it is so important to offer this to young women. One, they are introduced to quantum computing, but two, so they are not alone and do not feel alone in their interest in this field, Meis said.

This is a hard science, right? Meis said. We really want our students to feel that theres a place in this for girls. Were really trying to empower them now while theyre still in high school.

Ive worked with girls for two decades doing STEM with them and one of the biggest things I hear is they think that theyre alone in liking STEM, that they dont realize there are other girls who are also willing to push themselves, Michelle Higgins added. Shes the associate director of the Office of Societal Impact.

The lead instructor for this camp is herself an example to these students. Emily Van Milligen is a doctoral student at the UArizona department of physics. Her field of study is quantum entanglement and routing protocols. She noticed that not one student fell behind; they all listened.

They love it, Van Milligen said. They like the lectures Im giving, which is exciting because that means they enjoy the content. Im not doing anything that special.

One student, 18-year-old Sagan Friskey and future Pima Community College student, spoke enthusiastically about the camp.

I think its super interesting to learn about, especially since were at the very beginning of it becoming a part of something that you can learn about and work with, she said.

Gabriela Malo-Molina, 14, and a student at Catalina Foothills High School, said shes never seen this before but could be interested in looking deeper into it.

I think this is a very special opportunity, and that this field will definitely be more commonly used in the future, she said. And quantum computing in the future will be very helpful for discoveries, especially in the medical field.

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Coding the future | Business | insidetucsonbusiness.com - Inside Tucson Business

Multiverse Collaborating with Bosch to Optimize Quality, Efficiency, and Performance in an Automotive Electronic Components Manufacturing Plant

Multiverse and Bosch will be working to create a quantum computing model of the machinery and process flow in at one of Boschs manufacturing plants in a process known as digital twin. This is a technique where a model of the activities in the facility will be created inside the computer and then enable various simulations and optimizations to be performed which can predict how the plant will perform under different scenarios. The companies will be using both customized quantum and quantum inspired algorithms developed by Multiverse in order to model an automotive electronic components plants located in Madrid, Spain. The companies hope to have first results of this pilot implementation by the end of the year with a goal of finding ways to enhance quality control, improve overall efficiencies, minimize waste, and lower energy usage. Bosch has a total of 240 manufacturing plants that include over 120,000 machines and 250,000 devices which are connected together to provide them with digital control and sensing to optimize performance. So a successful implementation of this digital twin concept could be extended to many more factories and provide Bosch with a significant productivity advantage in the future. A news release from Multiverse about this collaboration can be accessed on their website here.

July 30, 2022

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Multiverse Collaborating with Bosch to Optimize Quality, Efficiency, and Performance in an Automotive Electronic Components Manufacturing Plant -...