Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Novel Batteries

Quantum computing solutions to improve the accuracy of the simulation of novel batteries with the objective to accelerate the development of new rechargeable battery technologies with higher energy storage, faster charging, and lower costs.

OWNER

STATUS

Phase 0 – Idea

QUANTUM APPROACH

Machine Learning, Optimisation

SDGs

IMPACT/CONTEXT:

The need to access reliable, sustainable, and modern energy for all continues to grow globally. Enhancing the performance of batteries can significantly contribute to this challenge by making energy storage more efficient, scalable, and less costly. Better battery technologies are critical for renewable energy systems, such as solar and wind, which require effective storage solutions to manage intermittency and optimise output. By advancing battery performance, one can help facilitate a broader transition to renewable energy sources, thereby reducing reliance on fossil fuels and mitigating the impact of energy production on climate change.

 

HOW COULD QUANTUM HELP:

Quantum computing could provide a more efficient alternative to conventional simulations of simulating electrolyte molecules in Li-ion batteries, dimerisation of lithium superoxide in Li/O2 batteries, Li-sulfur alternatives, for instance. This would enable researchers to probe the behavior of new materials more efficiently. These simulations might offer insights that could enhance battery performance and longevity, aligning with global sustainability goals.

 

REFERENCES:
PsiQuantum, Mercedes-Benz Research (Quantum Simulation) (USA) 

Xanadu, Northwestern University, Volkswagen, CCS-Center for Computational Simulation (Quantum Simulation) (Canada, USA, Spain, Germany) 

Mitsubishi Chemical Corp., Quantum Computing Center, Keio University, IBM Research – Tokyo, IBM Research – Almaden, IBM Thomas J. Watson Research Center (Quantum Simulation) (Japan, USA) 

North Carolina A&T State University, Arizona State University (Machine Learning (quantum inspired)) (USA) 

North China Electric Power University, University of Macau, Beijing Key Laboratory of New Energy and Low-Carbon Development (Combinatorial Optimisation (quantum inspired)) (China) 

IBM Quantum, Mercedes Benz Research and Development North America (Quantum simulation) (USA)