Covestro and QC Ware partner to develop quantum algorithms for materials R&D
Covestro, one of the world’s leading polymer companies, and QC Ware, a leading quantum software and services company, today announced the signing of a five-year collaboration agreement. The objective of the collaboration is to help prepare Covestro to fully deploy quantum algorithms for the discovery of new materials and catalysts on near-term quantum hardware. IQT-News shares the announcement below.
Under a five-year collaboration agreement, the two companies will co-design quantum algorithms with numerous applications in materials science and beyond
“Implementing computational chemistry to discover new materials and pharmaceuticals will be one of the most fruitful areas for utilizing quantum computing,” said Doug Finke, Consulting Analyst to Inside Quantum Technology. “The resulting discoveries will greatly impact many areas of society in the coming years. To effectively do this, though, requires careful teaming of people with extensive knowledge of molecular chemistry with others who have extensive knowledge of quantum computing and quantum algorithms. This partnership between QC Ware and Covestro should prove to be a very effective combination and we look forward to seeing the results of their research over the next few years.”
The agreement is aligned with Covestro’s goal to enhance the company’s digital R&D processes to pave the way towards carbon neutrality by becoming fully circular. The collaboration combines Covestro’s expertise in classical computational chemistry and empirical manufacturing techniques, with QC Ware’s leading edge in both classical and quantum algorithms.
“We expect that quantum computing will help us to solve simulation problems that are out of the reach of state-of-the-art classical computing,” said Torsten Heinemann, Head of Group Innovation at Covestro. “Our joint research with QC Ware over the next five years aims to develop new tools which our R&D team can use to develop new material classes and more efficient production processes that require less resources. Our hope is that this work will help take our R&D efforts to a completely new level and accelerate the pace at which we can develop innovations.”
The agreement follows a year-long collaboration on a proof-of-concept project that explored the possibility of modeling large-scale molecules needed for industrial applications on a near-term quantum computers. The results of the project are outlined in two recently released papers:
1) Local, Expressive, Quantum-Number-Preserving VQE Ansatze for Fermionic Systems | New J. Phys. 23 113010 (2021) | https://arxiv.org/abs/2104.05695
2) Analytical Ground- and Excited-State Gradients for Molecular Electronic Structure Theory from Hybrid Quantum/Classical Methods | https://arxiv.org/abs/2110.05040
The first paper introduces new quantum techniques that significantly reduce quantum computing resources required to design new materials and chemical processes. These techniques reduce both circuit depth and connectivity requirements, which are critical components that will be used in production applications in conjunction with adequate quantum hardware.
The second paper introduces a novel method to calculate energy gradients on a quantum computer which is a crucial property that computational chemists in industry use for the simulation of chemical reactions, catalysts, products, transition states, and catalytic properties.
“Computational chemists are interested in more than just ground state energies of molecules — they are interested in crucial properties such as the forces on the atoms, the color and light absorbing properties, or the electrical conductivity. Before our papers with QC Ware such properties were very difficult to compute on a near term quantum computer but now we think we have a very tractable path forward,” said Christian Gogolin, Expert Advanced Computational Concepts and Quantum Computing at Covestro Digital R&D.
“In order to provide real value for computational chemists, we need to build new quantum computing tools with capabilities that classical computers cannot match. We are working with Covestro to achieve that goal by building a full-stack solution that merges the best high-performance classical techniques for pre- and post-processing with advanced quantum algorithms reserved for the crux of the computational problem,” said Robert Parrish, Head of Chemistry Simulations at QC Ware.
About Covestro
With 2020 sales of EUR 10.7 billion, Covestro is among the world’s leading polymer companies. Business activities are focused on the manufacture of high-tech polymer materials and the development of innovative, sustainable solutions for products used in many areas of daily life. In doing so, Covestro is fully committed to the circular economy. The main industries served are the automotive and transportation industries, construction, furniture and wood processing, as well as electrical, electronics, and household appliances industries. Other sectors include sports and leisure, cosmetics, health and the chemical industry itself. At the end of 2020, Covestro has 33 production sites worldwide and employs approximately 16,500 people (calculated as full-time equivalents).
About QC Ware
QC Ware is a quantum software and services company focused on ensuring enterprises are prepared for the emerging quantum computing disruption. QC Ware specializes in the development of applications for near-term quantum computing hardware with a team composed of some of the industry’s foremost experts in quantum computing. Its growing network of customers includes AFRL, Aisin Group, Airbus, BMW Group, Covestro, Equinor, Goldman Sachs, and Total. QC Ware Forge, the company’s flagship quantum computing cloud service, is built for data scientists with no quantum computing background. It provides unique, performant, turnkey quantum computing algorithms. QC Ware is headquartered in Palo Alto, California, and supports its European customers through its subsidiary in Paris. QC Ware also organizes Q2B, the largest annual gathering of the international quantum computing community.
Sandra K. Helsel, Ph.D. has been researching and reporting on frontier technologies since 1990. She has her Ph.D. from the University of Arizona.
