New Materials for Quantum Computing

Jae‐Hee Han, Joonho Bae

Quantum computing is set to transform the field of materials science, offering computational methods that could far surpass conventional approaches for tackling intricate material design challenges. This review introduces the foundational principles of rapidly growing quantum computing and its application trends in the design and analysis of nanomaterials. We explain how quantum speedup, achieved through quantum algorithms utilizing qubit superposition and entanglement, is applied to material design. Additionally, the principles and research trends of quantum variational methods, including the Variational Quantum Eigensolver (VQE), which has recently gained attention as a quantum algorithm simulation technique, will be discussed. By combining new techniques based on quantum algorithms with the quantum speed-up, the quantum computing is expected to offer new insights into data-intensive materials research and provide innovative methodologies for the development of new functional materials. With the advancement of quantum algorithms, the field of materials science could enter a new era, enabling more precise and efficient approaches in materials design and functional analysis.

Ignace Jarrige

Nathalie P. de Leon, Kohei M. Itoh, Dohun Kim +7 more

Quantum computing hardware technologies have advanced during the past two decades, with the goal of building systems that can solve problems that are intractable on classical computers. The ability to realize large-scale systems depends on major advances in materials science, materials engineering, and new fabrication techniques. We identify key materials challenges that currently limit progress in five quantum computing hardware platforms, propose how to tackle these problems, and discuss some new areas for exploration. Addressing these materials challenges will require scientists and engineers to work together to create new, interdisciplinary approaches beyond the current boundaries of the quantum computing field.

J. N. Eckstein, Jeremy Levy

Arijit Bardhan Roy, Debanjan Sarkar, Pratik Mondal +2 more

Because quantum computing can solve complicated problems ten times quicker than traditional computers, it has the potential to completely transform computation. However, the implementation of useful quantum computers requires the creation of appropriate materials with quantum mechanical characteristics. New opportunities for speeding up the discovery and improvement of materials for quantum computing have been created by the introduction of artificial intelligence (AI) approaches to electronics material design. AI is transforming the design of electronic materials used in quantum computers by focusing on material property prediction, optimization, and the identification of novel candidates for qubits, superconducting materials, and topological insulators.

P. Sureshkumar, Madhusudan Narayan