NATO-backed hardware company Secqai has launched what it claims is the world’s first quantum large language model (QLLM) which aims to enhance AI applications by integrating quantum computing with traditional LLMs. The introduction of the QLLM reflects a growing interest in harnessing quantum computing’s potential across various sectors. As industries increasingly rely on large datasets […]
NATO-backed hardware company Secqai has launched what it claims is the world’s first quantum large language model (QLLM) which aims to enhance AI applications by integrating quantum computing with traditional LLMs.
The introduction of the QLLM reflects a growing interest in harnessing quantum computing’s potential across various sectors.
As industries increasingly rely on large datasets and complex algorithms, the ability to perform computations more rapidly and accurately could transform fields such as finance, aerospace, healthcare, and cybersecurity.
According to a release issued by Secqai, over the past year, the UK firm’s engineering team has concentrated on the challenges associated with creating quantum large language models.
This involved developing an in-house system that simulates a quantum computer to facilitate advanced learning techniques, including the introduction of a quantum attention mechanism.
What are the potential applications for Quantum Large Language Models?
Secqai, a UK-based firm that describes itself as an “ultra-secure hardware and software company” is member of the NATO DIANA initiative aimed at fostering innovation in defence technology.
The initiative seeks to strengthen collaboration between the military, the private sector, and research institutions to accelerate the development and adoption of advanced technologies that enhance NATO’s operational capabilities.
According to Secqai. the potential applications for the QLLM are extensive. In semiconductor design, it may enable more precise development at the transistor level. In cybersecurity, it could assist in identifying vulnerabilities in encryption protocols.
In pharmaceuticals, it may benefit from the model’s ability to accelerate drug discovery and material development.
What is the release date for first QLLM?
The quantum LLM is expected to be available for private Beta testing to select partners by the end of February 2025.
Rahul Tyagi, CEO of Secqai, stated that the integration of AI and quantum computing could redefine capabilities across numerous domains.
“With the launch of the world’s first Quantum LLM, we are entering a new era where AI can leverage quantum mechanics to improve outcomes.
“This is an incredibly exciting step for Quantum Machine Learning and has the potential to revolutionise multiple industries.
“Throughout this important International Year of Quantum Science and Technology, we will continue to explore the overlap between the AI and Quantum Computing worlds to advance these use cases.”
