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IonQ(NYSE:IONQ) seeks to lead the way in a very specific market: quantum computing. Fortunately, you dont have to be a mathematician or computer scientist to invest in IONQ stock.

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It is important to understand what the company does, though. To put it simply, IonQ develops quantum computers designed to solve the worlds most complex problems.

This niche industry has vast moneymaking potential. According to IonQ, experts predict that the total addressable market for quantum computing will reach around $65 billion by 2030.

IonQ got in fairly early and aggressively, as the company has been around since 2015 and produced six generations of quantum computers. Theres a terrific investment opportunity here, yet the share price is down and if you ask me, this just doesnt compute.

Going back to the beginning, IonQoffered its shares for public tradingon theNew York Stock Exchange on Oct. 1, 2021, after reverse-merging with dMY Technology Group III.

The stock started off at around $10 but sank to the low $7s in just a few days time. However, that turned out to be a great time to start a long position.

Amazingly, IONQ stock staged a swift turnaround and soared to nearly $36 in November. In hindsight, however, this rally went too fast and too far.

Inevitably, a retracement ensued and the early investors had to cough up some of their gains. By early December, the share price had declined to $18 and change.

Sure, you could wait and hope that IONQ stock falls further before considering a position. Yet, you might miss out on a buy-the-dip opportunity with an ambitious, future-facing tech business.

I case I didnt make it abundantly clear already, IonQ is serious about advancing quantum-computing technology.

Case in point: in order to cement its leadership position in this niche, IonQ recently revealed its plans to use barium ions as qubits in its systems, thereby bringing about a wave of advantages it believes will enable advanced quantum computing architectures.

A qubit, or quantum bit, is basically a tiny bit of coded information in quantum mechanics.

Its perfectly fine if you dont fully understand the scientific minutiae, as IonQ President and CEO Peter Chapman and his team have the necessary know-how and experience.

We believe the advanced architectures enabled by barium qubits will be even more powerful and more scalable than the systems we have been able to build so far, opening the door to broader applications of quantum computing, Chapman assured.

Apparently, the advantages of using barium ions as qubits include lower error rates, higher gate fidelity, better state detection, more easily networked quantum systems and iterable, more reliable hardware, with more uptime for customers.

Thankfully, now I can leave the science to the scientists, and focus on what I do best: breaking down financial data.After all, Id be hard-pressed to recommend any company if it didnt at least have a decent capital position.

CFO Thomas Kramer was evidently glad to report that, as of Sept. 30 IonQ had cash and cash equivalents of $587 million.The companys strong balance sheet, according to Kramer will allow IonQ to accelerate [the] scaling of all business functions and continue attracting the industrys best and brightest.

Since IonQ is well-capitalized, the company should be well-positioned to benefit from Capitol Hills interest in quantum as shown by the infrastructure bill, the CFO added.

Its also worth noting that IonQ generated $223,000 in revenues during 2021s third quarter, bringing the year-to-date total to $451,000.

Hopefully, the company can parlay its quantum-computing know-how into seven-figure revenues in the near future.

IonQs loyal investors dont need to understand everything about qubits. They only need to envision a robust future for the quantum-computing market.

We cant claim that IonQ is generating massive revenues at this point. Therefore, it requires patience and foresight to invest in this company with confidence.

Yet, an early stake could offer vast rewards in the long run. After all, when it comes to deep-level, next-gen quantum computing, IonQ clearly has it down to a science.

On the date of publication, David Moadeldid not have (either directly or indirectly) any positions in the securities mentioned in this article.The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelines.

David Moadel has provided compelling content and crossed the occasional line on behalf of Crush the Street, Market Realist, TalkMarkets, Finom Group, Benzinga, and (of course) InvestorPlace.com. He also serves as the chief analyst and market researcher for Portfolio Wealth Global and hosts the popular financial YouTube channel Looking at the Markets.

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IonQ Stock Is an Investment in Cutting Edge, Global Solutions - InvestorPlace

The Federal Office for Information Security (BSI) has collected the latest findings on quantum computing and created guidelines on how providers can make encryption quantum-secure. Due to their functionality and the resulting speed, quantum computers are considered to be cryptography breakers that could crack current encryption mechanisms and thus render them useless.

The BSI sees information security as an essential prerequisite for successful digitization. In order to initiate and design the migration to quantum-secure cryptography in good time, the guideline is intended to address manufacturers and operators of information and communication technology in particular.

The guideline summarizes the current state of research, gives a comprehensive overview of the fundamentals, explains the connections between new developments and names unanswered questions from research. One of the focal points concerns Quantum Key Distribution (QKD), which is considered a solution for quantum-secure cryptography. Although it still leaves questions unanswered, it is strongly encouraged and met with great interest.

The BSI writes that current quantum computers are not yet able to break common public key cryptography. However, the development is advancing rapidly and the BSI, as the federal cybersecurity authority, wants to actively shape the cryptographic change. The guideline is intended to create the basis for discussions with the IT security community on quantum secure cryptography. The BSI would like to bring the findings together under one roof, monitor developments and advance research.

This is the guideline Designing cryptography quantum-secure basics, developments, recommendations BSI interested parties as PDF available for download on his website.

(dmk)

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BSI: The guideline is intended to help with quantum-secure encryption - Market Research Telecast

Let's look at example that shows how quantum computers can succeed where classical computers fail:

A supercomputer might be great at difficult tasks like sorting through a big database of protein sequences. But it will struggle to see the subtle patterns in that data that determine how those proteins behave.

Proteins are long strings of amino acids that become useful biological machines when they fold into complex shapes. Figuring out how proteins will fold is a problem with important implications for biology and medicine.

A classical supercomputer might try to fold a protein with brute force, leveraging its many processors to check every possible way of bending the chemical chain before arriving at an answer. But as the protein sequences get longer and more complex, the supercomputer stalls. A chain of 100 amino acids could theoretically fold in any one of many trillions of ways. No computer has the working memory to handle all the possible combinations of individual folds.

Quantum algorithms take a new approach to these sorts of complex problems -- creating multidimensional spaces where the patterns linking individual data points emerge. In the case of a protein folding problem, that pattern might be the combination of folds requiring the least energy to produce. That combination of folds is the solution to the problem.

Classical computers can not create these computational spaces, so they can not find these patterns. In the case of proteins, there are already early quantum algorithms that can find folding patterns in entirely new, more efficient ways, without the laborious checking procedures of classical computers. As quantum hardware scales and these algorithms advance, they could tackle protein folding problems too complex for any supercomputer.

How complexity stumps supercomputers

Proteins are long strings of amino acids that become useful biological machines when they fold into complex shapes. Figuring out how proteins will fold is a problem with important implications for biology and medicine.

A classical supercomputer might try to fold a protein with brute force, leveraging its many processors to check every possible way of bending the chemical chain before arriving at an answer. But as the protein sequences get longer and more complex, the supercomputer stalls. A chain of 100 amino acids could theoretically fold in any one of many trillions of ways. No computer has the working memory to handle all the possible combinations of individual folds.

Quantum computers are built for complexityQuantum algorithms take a new approach to these sorts of complex problems -- creating multidimensional spaces where the patterns linking individual data points emerge. Classical computers can not create these computational spaces, so they can not find these patterns. In the case of proteins, there are already early quantum algorithms that can find folding patterns in entirely new, more efficient ways, without the laborious checking procedures of classical computers. As quantum hardware scales and these algorithms advance, they could tackle protein folding problems too complex for any supercomputer.

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What is Quantum Computing? | IBM

One of our ages major achievements in healthcare. Medical research has advanced rapidly, extending life expectancy around the world. However, as people live longer, healthcare systems face increased demand, rising expenses, and a staff that is straining to meet the needs of the patient.

Population aging, changing patients needs, a change in life choices, and the never-ending loop of innovation are just a few of the relentless forces driving demand. The consequences of an aging population stand out among these. Healthcare is one of our generations main achievements. Medical research has progressed at a breakneck pace, extending life expectancy all around the world.

When you use the classic computing method, your machine doubles in size every time the number of data doubles. Processing the vast amounts of data necessary in many areas, such as healthcare, manufacturing, big data, and financial services, is difficult and time-consuming as a result.

Quantum computing doubles the computers potentiality with each additional cubit rather than increasing the programs size. Without growing the footprint, computers can process progressively massive amounts of data in near real-time. Quantum computing is already being used in a variety of businesses with vast volumes of data to swiftly solve previously intractable tasks.

Quantum computings advantages are already being observed in healthcare, particularly in personalized medicine, where researchers and healthcare providers are working to forecast health risks and find the best therapy for groups of people who share certain features. Personalized medicine, in comparison to conventional medicine, is patient-centered care that analyses a patients genetic profile to identify health risks and provide therapies that are tailored to their specific needs.

Specialists in the burgeoning sector are increasingly depending on quantum computers unique capacity to tackle complicated data managerial challenges with high speed in order to effectively process enormous amounts of health data from millions of disparate data points. This is in favor of customized medicines development and its favorable impact on healthcare systems.

Researchers discussed their efforts to develop policies that address critical concerns about emerging technologies, highlighting the distinctions between capacity-building basic open basic and applied competitive study with direct state defense and commercial ramifications.

Foster discussed impending legislation that will expand the National Quantum Initiative by assisting in the creation of a larger pool of workers with the highly specialized skills required. The money will be used to boost military training as well as quantum-related college programs. The goal is to strengthen the Department of Defenses quantum staff, which will aid in the attempt to harness quantums power and speed to solve the most difficult problems.

Dr. Paul Lopata, Ph.D., Principal Head for Quantum Science, shared his thoughts on what businesses should be doing now to set themselves up for future quantum success. He emphasized that high-performance computing is made up of supercomputers, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), and GPUs, rather than a single technique.

According to Lopata, businesses should think about the long game with quantum computing and begin thinking about the future now. In quantum computing, he revealed his 3 phases to long-term thinking:

1. Adhere to the values of your company

2. Develop your own specialty

3. Collaborate with organizations that share your values.

Quantum computing can be one of several game-changing technologies that help us improve our ability to assure healthy lives and encourage well-being for people of all ages, as well as help us build a more long-term sustainable society. Quantum computing combined with artificial intelligence allows us to address some of todays most pressing concerns while also creating re-creatable and scalable technology foundations and procedures as we strive toward global healthcare for all.

The applications that have an impact on care delivery, such as how existing tasks are completed and how they are disturbed by changing healthcare requirements or the processes necessary to fulfill them. From day-to-day operational improvement in clinical organizations to population-health management and the realm of healthcare technology, applications that support and develop healthcare delivery. Its a broad term that encompasses natural language processing (NLP), image processing, and machine learning-based predictive analytics.

While there are many issues about what is actually in AI in healthcare nowadays, this paper examined 23 applications currently in use and presents case studies for 14 of them. These examples show how AI can impact a wide range of domains, from applications that help patients control their own treatment to online symptom detectors and e-triage AI systems, virtual assistants that can perform duties in hospitals, and bionic pancreas to assist diabetic patients.

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Role of Quantum Computing and AI in Healthcare Industry - Analytics Insight

The University of Bristols pioneering Smart Internet Lab will work with industry partners to develop the first blueprint for a quantum data centre, as part of UKRIs 170 million Commercialising Quantum Technologies Challenge.

Quantum technologies, in the form of quantum computing and communications, promise to provide solutions to some of the world's most challenging problems. However, to date, very little has been understood from a systems perspective about how to integrate them with existing data centres.

The Quantum Data Centre of the Future project will commence in early 2022, bringing experts in classical data centres and networking together with experts in quantum computing and quantum communications, to develop the first blueprint for a quantum data centre.

The project will leverage the significant research strengths of the University of Bristols High Performance Networks Group in classical data centre, quantum Internet and quantum networking.

Professor Reza Nejabati, Head of High Performance Networks Research Group in the Smart Internet Lab said: This is a truly exciting initiative. Adapting quantum computing and networksystems to work in a data centre settingwill require significant acts of invention and creativity.

"This will bring a more practical light to the field of quantum technologies so they can benefit businesses and support the emergence of new type quantum computing algorithms and applicationsthat will benefit from them far into the future.

In collaboration with the project partners, we aim to design, develop and demonstrate a solution for integrating a quantum computer in a classical data centre as well as providing remote quantum secure access to quantum computers at scale and in a data centre setting.

Professor Dimitra Simeonidou, Director of Smart Internet Lab said: Quantum computers and communications systems are often described in isolation, but this misses the possibility for near term value to be created with quantum/classical hybrid systems. In this project, we will be investigating system-level solutions for optical metro quantum networks supporting remote access to quantum computing.

We are really excited to work with leading industrial and academic partners to connect and integrate our city scale test-bed to remote quantum accelerated data canter and demonstrate its use for future industrial applications.

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November: Smart Internet Lab | News and features - University of Bristol