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It is anticipated that a new focus on Quantum Computing will emerge in 2023. In the coming years, QC and AI will be crucial for business productivity and national security. Due to the enormous potential benefits of quantum computing, numerous businesses and academic organizations are making significant investments in its development. The global quantum computing industry is predicted to reach $11.5 billion by 2026, indicating the rising need for this technology.
AI is frequently employed to automate laborious jobs. Numerous of its accomplishments, like facial recognition, are only the outcome of pure computational power. Quantum technology dramatically increases computing power. Some predict that it will someday assist physicians in detecting tumours early, assist pharmaceutical companies in bringing pharmaceuticals to market quicker, increase battery life, and more.
We should be aware of a few milestones that need to be accomplished when thinking about the potential of AI and quantum computing. Researchers are working to advance quantum computing to create systems that are less prone to mistakes (e.g., due to environmental influence on the sensor system, or decoherence). Of course, it is important to acknowledge that there are still many unsolved questions regarding quantum supremacy, particularly in the context of AI algorithms.
Today, scientists are attempting to use quantum machine learning to solve issues of all sizes, from simulating the behaviour of nanoparticles to using sophisticated pattern recognition and analysis to explore space. It might potentially contribute to the creation of new pharmaceuticals.
Machine learning and QC, as a subset of AI and QC, open the door to data processing and modeling that more nearly mirror the complexity of the cosmos. Whether or not AI takes over the world, this expands the boundaries of technology beyond simple interactions with Siri or Alexa. In addition, quantum machine learning has a great deal of potential for good if this technology is developed properly.
Universal QC use cases are still uncommon, although more businesses have recently revealed AI/QC programs. For big data, IoT, AI, robots, and other applications that, according to LG Electronics, all need for processing a lot of data, the company is looking into QC. In the meantime, HSBC is also considering QC for fraud detection, risk reduction, and investment portfolio optimization, which typically involve ML algorithms to process massive volumes of data.
QC may have ecological advantages as well: According to Interesting Engineering, quantum computers could significantly increase the energy efficiency of high-level computation by adopting "quality" qubits, which are yet not widely available. There are some jobs that the quantum computer could complete with a hundred times less energy than the finest supercomputers available today.
National security is another consideration for quantum-enabled AI. Bloomberg reported in mid-October that the US may soon impose export limitations on AI and QC technologies. Some people think China has an advantage over the US and other Western countries in the fight for AI. Others are concerned that QC might one day be able to decrypt email and other modern communications using the public-key encryption technique.
Conclusion: Quantum computing has numerous potential advantages, but many obstacles must be solved. These include creating quantum systems that are more dependable and stable as well as algorithms and software that can make use of the special qualities of quantum computers.
Despite these difficulties, it is obvious that quantum computing has the power to transform numerous industries and resolve issues that were formerly believed to be intractable. As a result, this technology will probably receive more attention in the years to come as academics and organizations continue to push the limits of what is feasible.
