Ten things you should know about quantum computing and artificial intelligence

In recent years, emerging technologies have become increasingly prominent. Among them, quantum computing is very likely to change our world. Quantum computing has shown promising evidence of speeding up heuristic calculations in an incredible way. Therefore, the application of quantum computing in complex solutions to problems in pharmaceutical and material discovery, finance, autonomous vehicle applications, artificial intelligence, and more will have a significant impact on our lives. In particular, quantum computing has the potential to amplify the impact of many artificial intelligence applications.

As businesses become increasingly digital, keeping the coming technological changes in mind is critical for better planning and strategy. As a result of these technological advances, businesses may see real benefits from quantum computing. With that in mind, let’s explore 10 things you should be aware of in the world of quantum computing and artificial intelligence.

1. The main features of quantum computing

In so-called classical computers, bits are programmed as units of data, with possible values ​​of 1 and 0. In a quantum computer, data cells are programmed with qubits, which can represent 1, 0, or a combination of 0 and 1 at the same time.

A good analogy is a light switch, which in a classic computer can have an on or off position. Using qubits in a quantum computer, a switch can have a spectrum of any position from on to off at the same time. The physical capabilities of qubits bring about two main features of quantum computing.

Superposition: This refers to the ability of a qubit to be on and off at the same time, or somewhere on the spectrum in between. This incorporation of uncertainty and probability into data units makes the system very powerful at solving certain types of problems.

Entanglement: The ability of qubits to connect together, even if they are physically separated, affects their independence from each other. So if we have two qubits and the position of one of them changes, even if the qubits are separated, the other one will be affected. This feature provides the powerful ability to move information at incredibly high speeds.

2. Faster and better

Quantum computers have four basic functions that make them different from today’s classical computers:

● Prime factorization exploits multidimensional space to explore large problem spaces, potentially revolutionizing cryptography.

● Optimize by solving large/complex problems faster than ever before.

● Quantum computers effectively simulate simulations of complex problems.

● Quantum artificial intelligence has better algorithms that are faster and more accurate.

IBM's quantum research team found that entangled qubits on a quantum computer running data classification experiments reduced the error rate by half compared to unentangled qubits.

Applications in business will solve complex problems. For example:

● Drug development requires molecular models of substances, which are notoriously difficult because the atoms in the molecule interact with other atoms in complex ways. The inherited entanglement properties of quantum computers are very applicable here.

● Leverage quantum AI to speed up the time and accuracy of training systems such as self-driving cars.

● Several industries, including financial services, pharmaceutical and medical products, healthcare, energy, telecommunications, media, tourism, logistics and insurance, will benefit significantly from quantum computing.

3. Bias amplifier

The amplification effect of quantum computing goes beyond speed and accuracy. It also highlights the embedded bias that exists in AI/ML models. As a result, applications that are susceptible to algorithmic bias, for example, in the field of employment screening, policing, etc., may become even more vulnerable. In other words, quantum computing may have amplified negative effects that may make such applications too risky to use without special mitigating controls. This is an unintended impact that anyone working on artificial intelligence or quantum computing must recognize and take into account in their solutions.

4. Increase the complexity, transparency and explainability of algorithms

One of the core problems of current artificial intelligence is the lack of transparency and explainability, especially when using When using complex algorithms such as deep learning. If AI systems are used for decisions that directly impact lives, such as court decisions, community social welfare, or even deciding who can get a loan at an interest rate, it is critical that the decisions are tied to actual facts that are non-discriminatory in practice.

Understandably, quantum computing on such artificial intelligence systems adds complexities related to transparency and explainability.

5. New Password Standards

The main drawback of this amazing technology is its ability to crack many of the keys used to protect the Internet and other Applied defense system. Quantum computing poses a serious threat to the cybersecurity systems that nearly all businesses rely on. Today, most online account passwords and secure transactions and communications are protected through encryption algorithms such as RSA or SSL/TLS. Current standards rely on the complexity of factoring large numbers into prime numbers.

However, this is the type of problem that quantum computers are good at solving. Cracking a code that would have taken a classical computer 100 years by our current standards can be done in seconds with a quantum computer. The impact goes beyond personal account passwords to include the exposure of private communications, corporate data and even military secrets.

6. Not a replacement for current computers

Classical computers can do some tasks better than quantum computers, such as email , spreadsheets, and desktop publishing applications. Quantum computers are intended to be a different tool for solving different problems, not to replace classical computers. So, for the foreseeable future, we will still have computer systems as we know them, or a version of computer systems as we currently know them.

7. Approaching the mainstream

Breakthroughs in quantum technology continue to accelerate, investments continue to pour in, and the number of start-ups in the field of quantum computing continues to increase. Large technology companies such as Alibaba, Amazon, IBM, Google and Microsoft have launched commercial quantum computing cloud services.

Although quantum computing as a concept has been around since the early 1980s, the first real evidence that quantum computers can handle problems that classical computers cannot handle came in 2019 At the end of the year, Google announced that its quantum computer had solved this type of calculation in just 200 seconds.

This flurry of activity suggests that CIOs and other leaders should start developing their quantum computing strategies, especially in high-impact industries like pharmaceuticals.

8. Not around the corner

While significant progress has been made in building different quantum computing systems, we are not yet close to Have one in every business, let alone every home. Although quantum computing startups have raised hundreds of millions of dollars, no one expects quantum computing systems to become an everyday standard within the next five years.

This delay is largely due to the difficulties that still exist, including those of designing, building, and programming quantum computing systems, including noise, glitches, loss of quantum coherence, and, of course, There are also high prices associated with quantum computing systems.

9. Need for semiconductor chips and talents

The epidemic has brought key changes to our lifestyles, including the normalization of working from home, Supply chain disruptions, and suspicious looks to anyone with a cough. This also highlights the high demand and low supply of semiconductor chips. From tech devices to cars, increased demand has significantly impacted consumer prices. With the advent of quantum computers, demand will only grow further, impacting the availability and cost of semiconductors. In addition to hardware supply constraints, there are currently insufficient resources to support quantum computing systems and the entire economic ecosystem.

10. Related Quantum Computing Progress

#In recent years, computer technology has made progress in two major aspects. One is in machine learning. breakthrough, the development of algorithms that automatically improve through experience; the second is the study of quantum computers, which can theoretically prove that quantum computers are more powerful than any supercomputer.

Quantum Memristor: Scientists have created the first prototype of a device called a quantum memristor, which could help bring artificial intelligence and quantum computing together. Unprecedented capabilities.

Scalability / Quantum on a Chip: When you think of quantum computing, you also imagine a big room filled with equipment, cleaning quality monitors And dedicated temperature control personnel? This quantum computing chip features an integrated operating system for workflow and qubit management.

As this new wave of computing dawns, CIOs and leaders across all industry verticals have a fiduciary responsibility and a unique opportunity to seize the opportunity of quantum computing. A new world defines the pulse of technology.

While widespread adoption and application of quantum computing seems far away, now is the time for tech companies to start educating themselves on the technology. When the customer starts to learn more about it and asks questions, you want to have answers ready and provide the customer with the right advice.

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