Quantum Computing Will Make GenAI More Advanced
While generative AI is catching everyone’s imagination, Quantum computing is seen as a technology that could have potential impact in the coming years. However, there is a converging point of both the technologies. Generative is an exciting technology; however, it doesn’t come cheap. It cost OpenAI millions of dollars to make the technology accessible for all. The costs encompass both the expenses involved in training Large Language Models (LLMs) like the GPT models ( which powers ChatGPT) and the ongoing costs of running these models to respond to user queries. Training and running generative AI models require substantial computational resources, making them compute-intensive, financially burdensome, and environmental costs. “Future quantum computers and quantum-inspired techniques promise to address these challenges and make Generative AI more accessible, efficient, and advanced. The increased processing power of Quantum Computers can enable faster computations than the classical computer by harnessing the principles of quantum mechanics. This may allow for faster processing of large-scale generative models, enabling more complex and realistic outputs within shorter timeframes,” Aan S. Chauhan, chief technology officer, LTIMindtree, told AIM. Moreover, efficient data processing through Quantum Computing can help process larger datasets and more efficiently uncover the patterns and anomalies within the data. “Quantum computers can also solve optimisation problems in generative AI models more efficiently than classical computers resulting in improved performance and generation capabilities. Additionally, it can add value through improved sampling techniques, generating solutions beyond image and text, etc. However, Chauhan does stress that we’re still in the early days of quantum computing and the full potential of how much it can advance generative AI will depend on advancements in hardware, algorithms, and further research in the field. Quantum computing research at LTIMindtree In the present day, LTIMindtree is indulging in significant research when it comes to quantum computing. “Our research effort primarily aims to perform applied research to unearth the potential benefits Quantum technology could yield in the short, medium, and long term for all the industries we cater to.” As the technology matures from the current Noisy Intermediate-Scale Quantum (NISQ) phase towards the era of Fault-tolerant Quantum Computing, the IT services company’s research endeavours are centred on extracting incremental value from this evolving technology. “To accomplish this, we have deployed a multi-skilled team of physicists and software engineers actively developing Quantum Computing use cases catering to sectors like banking, financial services, insurance, manufacturing, logistics, etc. Our initial focus for these use cases is Quantum Optimisation, Quantum Machine Learning, and Quantum Simulation.” Moreover, the advent of Quantum Computing is paving the way for novel forms of cyber-attacks, including the concept of ‘harvest now, decrypt later, according to Chauhan. This implies that cyber attackers could store encrypted data today and decrypt it later using a sufficiently powerful Quantum computer. “Recognising this trend, we’re actively developing capabilities in solutions for Post-Quantum Cryptography and Quantum Key Distribution (QKD) to help enterprises mitigate these risks.” How can Quantum Computing benefit Indian IT? The Indian IT sector has been crucial in spearheading global digital transformation over the past few decades. According to Chauhan, the sector has acquired extensive domain knowledge across various industry verticals by leading this transformation. “This unique combination of experience in building complex IT systems and deep domain understanding positions the Indian IT sector favourably to implement research findings of the emerging Quantum technology into practical applications.” Opportunity is enormous for IT service providers to introduce innovative new products and offerings around quantum technologies. One such avenue is leading in developing quantum-classical hybrid workflows, where integrating quantum computing with conventional computing allows for the extraction of incremental value. “For example, conventional High-Performance Computing (HPC) systems can benefit from quantum-inspired algorithms for optimisation tasks, amplifying their computational capabilities.” Another avenue is post-quantum cryptography, where Indian IT companies can create encryption/security offerings to meet the rising demand for advanced data protection. Beyond these examples, there could be many novel ideas around quantum machine learning, simulation, etc. Moreover, the IT industry has the potential to make a noteworthy contribution to developing a highly influential quantum-ready workforce through partnerships with research institutes and universities, reskilling initiatives, and targeted training programmes. “By collaborating with leading research institutes, organisations can ensure their position at the forefront of harnessing this evolving cutting-edge technology to address real-world business challenges as the technology matures effectively.” India’s quantum computing ambitions Earlier this year, the Indian government greenlit the National Quantum Mission (NQM) with a budget of INR 6003.65 crore spanning from 2023-24 to 2030-31. The mission’s objective is to foster scientific and industrial R&D, nurture growth in Quantum technology, and create a dynamic and innovative Quantum technology ecosystem. Chauhan said Quantum technologies offer immense potential in addressing complex problems spanning societal, industrial, and national security interests. Achieving self-reliance in this domain is of utmost priority and the National Quantum Mission is a step in this direction. “By facilitating the development of intermediate-scale quantum computers, establishing secure quantum communications networks, and advancing research in quantum materials and devices, the mission paves the way for creating ground-breaking applications across sectors, including communication, health, financial services, energy, security, etc. “Additionally, the planned four thematic hubs, Quantum Computing, Quantum Communication, Quantum Sensing & Metrology, and Quantum Materials & Devices, will be platforms for collaborative and consolidated research efforts between leading research institutes, academia, and industries. These efforts will drive faster innovation toward addressing critical challenges and developing ground-breaking quantum technologies.”
Efficient data processing through Quantum Computing can help process larger datasets and more efficiently uncover the patterns and anomalies within the data
Future quantum computers and quantum-inspired techniques promise to address these challenges and make Generative AI more accessible, efficient, and advanced.
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I have a keen interest in creative writing and artificial intelligence. As a journalist, I deep dive into the world of technology and analyse how it’s restructuring business models and reshaping society.