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Constructing a practical quantum computer is extremely difficult. To achieve their full potential, quantum computers will require significant advancements in scalability, fidelity, speed, durability, and programmability. The numerous intricate physics and engineering problems preventing practical quantum computing require strong tools to be overcome.
Artificial Intelligence (AI) radically changes industries, how we interact with the digital world, and the technological landscape. The capacity to gather data and produce intelligence makes possible innovative solutions to some of the most difficult issues confronting society today.
Quantum computing will be integrated with traditional supercomputers and speed up important aspects of difficult issues important to business, government, and academia. The size of the worldwide market for quantum computing was estimated at USD 885.4 million in 2023 and is expected to increase to USD 12,620.7 million by 2032 from USD 1,160.1 million in 2024.
An Introduction to Quantum Accelerated Supercomputing describes this relationship. The benefits of merging quantum computing and supercomputers are mutually reinforcing, and this close integration will also allow AI to assist in resolving the major obstacles preventing practical quantum computing.
This article examines the processor, error correction, and algorithms — three essential components of quantum computing that AI supports. It also looks at some useful factors to consider while constructing an infrastructure to maximize AI's potential to support quantum computing.
The combination of quantum computing and artificial intelligence (QAI) will impact all businesses. Global training initiatives and pilot projects are already in progress, but widespread acceptance depends on business investments and technology breakthroughs.
Quantum computing's ability to break cryptography could disrupt international cybersecurity and intelligence activities, affecting military capabilities and defense plans. Countries at the forefront of quantum development might benefit from information warfare, which might change the balance of power globally and produce economic imbalances.
Quantum computing can potentially enhance risk management and price derivatives more precisely and optimize portfolio allocations in the financial sector. While HSBC and Quantinuum are investigating ways to use quantum computing to enhance cybersecurity, IBM and Crédit Mutuel are collaborating to develop quantum computing solutions for fraud detection.
Quantum computers could be utilized in the pharmaceutical industry to model chemical molecules and find new treatments more rapidly and effectively. Qubit Pharmaceuticals uses hybrid quantum computing to expedite the discovery of medications for viral infections, inflammatory illnesses, and cancer.
More funding for AI research and quantum computing is anticipated, which will result in the development of novel AI algorithms and applications. Thanks to the processing capability of quantum computers, a crucial subject called quantum machine learning is starting to emerge. Data protection will require quantum-safe cryptography in a future fueled by quantum mechanics.
The worldwide market for quantum computing is expected to increase at an impressive rate in the next five years. Researchers predict that the market will generate USD 4,375 million in sales by 2028, with a compound annual growth rate (CAGR) of 38.3% from 2023 to 2028.
While presenting unique obstacles, QAI guarantees unmatched technological advancement. If we are to fully realize the potential of this "Next Frontier, " we need to overcome these obstacles, promote moral growth, and ensure that the advantages are distributed fairly among the world's population. We are at the beginning of the road towards the Quantum Leap.
