
QARES
Functional optical memories for long-distance quantum communication networks
Project manager
Matthieu Saubanère, CNRS
Overview
The aim of the QARES project is to design quantum algorithms to solve the important problem of electronic structure for both ground and excited states in quantum chemistry and condensed matter physics.
Keywords: Quantum computing, quantum algorithms, quantum chemistry, condensed matter physics, wave function theory, density functional theory, variational quantum eigensolver, quantum phase estimation
In a nutshell
Based on both wavefunction theory and density functional theory, the quantum algorithms proposed by the QARES project will make it possible to simulate the electronic properties of molecules and materials for systems that are complex in terms of size or electronic structure, in the context of strong correlation. Complementary strategies, based on “Variational Quantum Eigensolver” or “Quantum Phase Estimation” approaches, will enable the development of specific algorithms for different technological eras, from “Noisy Intermediate Scale Quantum” (NISQ) to “Fault-Tolerant”.
In the short term, the success of QARES should benefit numerous academic and industrial communities, including catalysis, energy storage and conversion, molecular electronics, spintronics, quantum technologies and biological systems. In the longer term, QARES will help pave the way for efficient materials and/or drug discovery.
Challenges
The core of the QARES project is to design versatile quantum algorithms that:
- overcome the current limitations of classical methods for large and/or complex (i.e. highly correlated) systems
- are useful for a wide range of applications and communities by providing access to a wide range of electronic properties in the ground and excited states
- keep pace with the evolution of quantum technologies in different quantum eras
Tasks
- WP1 : Density Functional Theory (DFT) on quantum computers.
- WP2 : Embedding methods on quantum computers
- WP3 : Wavefunction theory on quantum computers for strongly correlated systems
- WP4 : Application, benchmark and digital platform
Consortium
- Grenoble INP
- Institut de Recherche de Chimie Paris (IRCP, Chimie ParisTech-PSL / CNRS)
- Institut Néel (CNRS)
- Sorbonne Université
- Université Côté d’Azur