Solving the Unthinkably Complex
Quantum computing uses quantum bits, or qubits, to process and analyze vast amounts of info with incredible speed and efficiency.
The following, in no particular, are some of the manufacturers experimenting with quantum computing to solve unthinkably complex challenges.
These are the early adopters…
Ford Motor Company
Ford Motor Company announced in March its partnership with Quantinuum to use quantum computers to simulate the chemical composition of EV battery materials.
A report by Ford’s Research and Advanced Engineering division says QC “plays a vital role to find potential materials that can enhance the battery performance and robustness,” according to the EE Times.
Since January 2023, ROHM has been collaborating with Quanmatic Inc. to introduce quantum tech into its Electrical Die Sorting (EDS) process. This is the first time quantum technology has been used to optimize manufacturing processes at a large-scale semiconductor manufacturing plant.
Thales Alenia Space
In January 2023, Thales Alenia Space won a contract to lead the European Space Agency’s TeQuantS1 project to develop space-to-Earth quantum communication technologies. Applications include cybersecurity and quantum information networks.
In April 2023, Evonik Industries announced a partnership with Terra Quantum AG to create a quantum algorithm to accelerate the fluid mixing machine design process. “The results already illustrate the enormous potential of quantum technology that we can expect to unfold in the decade ahead as its power to redefine performance will change all aspects of this industry.
In February 2023, BASF announced its partnership with SEEQC to explore applying quantum technology to accelerate the development of more sustainable chemical reactions in homogenous catalysis. “SEEQC is addressing the bottlenecks of scaling by integrating critical system functionality on a unique system-on-a-chip quantum computing platform,” Horst Weiss, Vice President, Next Generation Computing at BASF, said in the announcement.
In October 2022, Ikerlan and Multiverse Computing revealed that testing showed that quantum computing algorithms outperformed classical computer vision systems in detecting manufacturing defects. “Quantum machine learning will significantly disrupt the automotive and manufacturing industries,” Román Orús, Ph.D., Chief Scientific Officer at Multiverse Computing, said in a press release.