AI and AI Agents in Quantum Chemistry Simulations

Quantum dynamical simulations are computationally demanding, particularly for large systems and long-time evolutions. While quantum computing holds the potential to revolutionize this field, current quantum computers remain limited in scale, and algorithm development continues to present significant challenges. Artificial Intelligence (AI) has demonstrated remarkable success in diverse applications, including complex problem-solving and large-scale data analysis. Recent advances in AI, such as NVIDIA's universal function approximators, have enabled the development of AI applications capable of learning and replicating complex algorithmic behaviors. We propose leveraging AI to accelerate chemical design and quantum dynamical simulations. These AI applications can be trained on the inputs and outputs of quantum chemistry and dynamics algorithms, effectively replacing computationally expensive components. Furthermore, they can learn the scaling behavior of these algorithms, enabling extrapolation to larger systems. We present a proof-of-concept which demonstrates the potential of this approach. We successfully developed an AI application capable of generating vibrational wavefunctions for small molecules, such as CO₂, using only frequency and potential parameters as input. This method bypasses the need for computationally intensive variational algorithms. This work highlights the promising synergy between quantum computing and AI in advancing the field of quantum dynamical simulations. President MolKet SAS, a member of QED-C and QuIC, offering management consulting and AI services in quantum molecular dynamics, cryptography, neuromorphic computing, with cloud-based hybrid HPC and quantum computing platforms. Alain is the founder and CEO of Quantalain SASU and Alainquant LLC, both business management consulting startups. He is a Qiskit Advocate, an IEEE Senior Member, a society affiliate of the American Chemical Society (ACS), and a member of the American Physical Society (APS). Alain also serves on the Advisory Board Committee of the North America Technical Institute (NATI), Virginia, USA, which offers a professional certificate program in quantum computation. In 2024, he participated in the IBM Quantum Developer Conference and was a keynote co speaker at the World Artificial Intelligence Cannes Forum (WAICF), where he presented “Combining the Power of AI with Quantum.”

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-20
DOI
https://doi.org/10.5281/zenodo.14897793
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
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article

AI and AI Agents in Quantum Chemistry Simulations

Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Materials Science
article

AI and AI Agents in Quantum Chemistry Simulations

article en

Abstract

Quantum dynamical simulations are computationally demanding, particularly for large systems and long-time evolutions. While quantum computing holds the potential to revolutionize this field, current quantum computers remain limited in scale, and algorithm development continues to present significant challenges. Artificial Intelligence (AI) has demonstrated remarkable success in diverse applications, including complex problem-solving and large-scale data analysis. Recent advances in AI, such as NVIDIA's universal function approximators, have enabled the development of AI applications capable of learning and replicating complex algorithmic behaviors. We propose leveraging AI to accelerate chemical design and quantum dynamical simulations. These AI applications can be trained on the inputs and outputs of quantum chemistry and dynamics algorithms, effectively replacing computationally expensive components. Furthermore, they can learn the scaling behavior of these algorithms, enabling extrapolation to larger systems. We present a proof-of-concept which demonstrates the potential of this approach. We successfully developed an AI application capable of generating vibrational wavefunctions for small molecules, such as CO₂, using only frequency and potential parameters as input. This method bypasses the need for computationally intensive variational algorithms. This work highlights the promising synergy between quantum computing and AI in advancing the field of quantum dynamical simulations. President MolKet SAS, a member of QED-C and QuIC, offering management consulting and AI services in quantum molecular dynamics, cryptography, neuromorphic computing, with cloud-based hybrid HPC and quantum computing platforms. Alain is the founder and CEO of Quantalain SASU and Alainquant LLC, both business management consulting startups. He is a Qiskit Advocate, an IEEE Senior Member, a society affiliate of the American Chemical Society (ACS), and a member of the American Physical Society (APS). Alain also serves on the Advisory Board Committee of the North America Technical Institute (NATI), Virginia, USA, which offers a professional certificate program in quantum computation. In 2024, he participated in the IBM Quantum Developer Conference and was a keynote co speaker at the World Artificial Intelligence Cannes Forum (WAICF), where he presented “Combining the Power of AI with Quantum.”

Zenodo (CERN European Organization for Nuclear Research)
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Machine Learning in Materials Science
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AI and AI Agents in Quantum Chemistry Simulations · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS