Ithe future of Artificial Intelligence?s Quantum computing?
AI is supreme in the technology stack as of now, with its wide use in every industry. But can you believe Artificial Intelligence also has its limitations beyond which it can not operate? Yes, as classical computers have limited computing power, the extent to which AI can operate on these computers is limited.
But thanks to the capabilities of quantum computing, it has the potential to provide a significant processing boost for machine learning and AI challenges.
We will discuss the potential of quantum computing, its influence on AI, and its impacts on business, industry, and the economy here.
Table of Contents:
What is Quantum Computing?
Quantum computing is a complex method of parallel computation that uses the concept of the subatomic particle from physics to replace today’s computers’ simulations and calculations capacities.
Quantum computing makes use of the physical phenomena of superposition, entanglement, and interference to do mathematical computations that are beyond the capabilities of even the most modern supercomputers. These concepts from quantum physics help Quantum computers in acquiring massive processing and computing capacity by being able to be in various states and in accomplishing tasks utilizing all conceivable permutations at the same time
Quantum computing over classical computing
Quantum Computing?is superior to classical computing as classical computing uses bits—that is, 0’s and 1’s—to encode information. However, quantum computing has its own version of this: the quantum bit, sometimes known as a qubit, here the information can be in numerous states at the same time.?
Large AI and machine learning models might take months to train on traditional systems and future models will take even much longer to train as the number of parameters increases into the billions. This is one of the reasons why we need quantum computers to provide higher performance than ordinary CPUs and even GPUs.?
Quantum computing is needed to aid and extend the abilities of traditional computing. It is expected that quantum computers will not replace rather will augment their traditional counterparts to support their specialized abilities, such as systems optimization. They are designed to perform tasks much more accurately and efficiently than conventional computers, providing developers with a new tool for specific applications.?
How Quantum Computing Can Aid AI?
The business use case of Quantum computing and AI includes autonomous cars. The essential premise of quantum computing is dealing with massive volumes of data in a very short period of time. This type of agility is required for AI systems to perform better in terms of real-time speed, this makes autonomous cars more trustworthy.
Another use case is Language.?AI employs Natural Language Processing (NLP) techniques. Currently, NLP is a time-consuming and expensive technique. Current algorithms operate on the basis of letters and words but Quantum algorithms are intended to establish the idea of “quantum consciousness”. As a result, these algorithms will be able to construct real-time speech patterns by working on phrases and paragraphs.
Predictive analytics is another significant AI application and commercial use case. AI excels at exploiting large data to train machine learning, deep learning, and neural networks. However, very sophisticated and nebulous situations, such as stock market projections and climate change control systems, need the generation of unique data employing quantum concepts such as entanglement and superpositions.?
Quantum computing may also be used to incorporate nanotechnology and nanoscience with artificial intelligence for dealing with extremely small, microscopic things at the molecular, atomic, and subatomic levels.
Applications of Quantum computing and AI
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Solve Complex Problems Quickly
Our data sets’ complexity and scale are rising faster than our computer capabilities, putting significant pressure on our computing architecture. While today’s computers struggle and are unable to tackle particular issues, the power of quantum computing is projected to solve these same difficulties in seconds.
For example, for computations that would typically take more than 10,000 years, Quantum Supremacy (the ability of a quantum computer) would only take 200 seconds to accomplish such computations. The key is to transform real-world business challenges into quantum language.
Handling Large Datasets
Every day, we generate data equivalent to the content of 5 million computers i.e. around 2.5 exabytes. While ordinary CPUs or GPUs may fail to handle this huge data, Quantum computers, on the other hand, are built to manage such massive amounts of data while swiftly finding patterns and detecting abnormalities.
Combat Fraud Detection
The application of quantum computing and AI in the banking and financial industry will improve and enhance fraud detection. Not only models trained with quantum computers will be capable of recognizing patterns that are difficult to detect with traditional equipment, but advancements in algorithms would also aid in handling the volume of data that the machines would be able to manage for this purpose.
Building Better Models?
Companies are breaking their links with traditional computer technologies as the volume of data created in the industry grows exponentially. These businesses today demand complicated models with the processing capability to analyze the most complex circumstances.?
Today, the healthcare industry generates around 30% of the world’s data volume. The compound annual growth rate of data for healthcare will hit 36% by 2025. This is 6% quicker than manufacturing, 10% faster than the financial sector, and 11% faster than logistics and eCommerce. If quantum technology can produce better models, it may lead to better illness treatments, a lower chance of financial collapse, and superior logistics.
Impact of Quantum Computing on businesses
While huge electronics firms are creating new quantum computer models, many startups are also interested in producing quantum solutions. As a result, several investors are expected to invest in quantum computing solutions.
Many industries and sectors will be influenced by Quantum computers and commercial solutions in the coming days.?One of these sectors is the financial sector, which is already aware of the future of quantum computing’s possibilities. Financial analysts frequently utilize quantum computing models that include probability and assumptions about how markets perform. Royal Bank of Scotland, the Commonwealth Bank of Australia, Goldman Sachs, Ctgrоuр, and several financial organizations have already made investments in quantum computing models.?
Health care, genetics, pharmaceuticals, sustainability, transportation, and cybersecurity are the other immediate beneficiaries of quantum computing.?
Conclusion
Although quantum AI is an emerging technology, advances in quantum computing are increasing the potential of quantum AI. In the coming years, the quantum computing industry will reach $2.2 billion, with QCaaS (Quantum Computing as a Service) accounting for 75% of all quantum computing sales. Quantum software applications, developer tools, and the number of quantum engineers and specialists will increase as infrastructure develops over the next five years, allowing more enterprises to harness the power of quantum computing and AI.
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