Quantum Computing in Manufacturing: The Early Adopters

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.

ROHM Semiconductor

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.

Evonik

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.

BASF

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.

IKERLAN

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.

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#digitaltwin #digitaltransformation #industry40 #singularity #artificialintelligence #ai #machinelearning #robotics #humanoid #humanoidrobot #humanoidrobots #digitalthread #plm #digitalengineering #cad #3d #bigdata #blockchain #iiot #4ir #manufacturing #digitaltwins #futuretechnology #futuretech #smartcity #iot #internetofthings #innovation #quantumcomputing #digitalimmortality #transhumanism #simulation

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The virtual replicas of physical entities are revolutionizing industries from manufacturing to healthcare to urban planning with their advanced simulation capabilities.

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0:17 Alan Turing's Computing Machinery and Intelligence
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1:06 First Commercial Computer (UNIVAC I)
The UNIVAC, the first commercially produced computer in the United States, is released in 1951. First deployed at the US Census Bureau, the UNIVAC I offers a glimpse into the potential of computing to handle vast amounts of data quickly and accurately to solve complex problems.

1:59 Monte Carlo Simulations
Monte Carlo simulations go mainstream around 1952. The experimentation method was initially developed for the Manhattan Project efforts to create an atomic bomb during World War II.

2:10 Development of FORTRAN
In the mid-50s, IBM’s FORTRAN delivers the computational power necessary for early forms of digital modeling and simulations. Its ability to handle large-scale computations and numerical analysis advances technology required for future digital twinning.

2:37 Launch of Sputnik and Advances in Aerospace Simulation
In 1957, the Soviet Union launches Sputnik, touching off the Space Race with the United States that accelerates simulation technology. The pressure pushes scientists to develop superior computer models to predict satellite paths and behavior in space.

3:09 Digital Simulation in Aerospace
In the early 1960s, the aerospace industry begins using digital simulations to design and test aircraft.

3:22 Introduction of CAD (Computer-Aided Design)
Ivan Sutherland develops Sketchpad for computer-aided design. It revolutionizes the way engineers and designers work by enabling precise digital drawings and models.

3:33 1964 - Jay Forrester Introduces System Dynamics
In 1964, Jay Forrester introduces System Dynamics, a methodology for modeling and simulating complex systems.

3:57 1970 - Apollo 13 Lunar Mission
In April 1970, the Apollo 13 mission to the Moon almost ends tragically.

4:16 1982 - Release of Autodesk's AutoCAD
In the early 1980s, CAD software enters the mainstream.

4:45 Advancements in Product Lifecycle Management (PLM) Systems
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7:37 Siemens Xcelerator Platform
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8:35 2030s - Digital Twins Become More Intelligent and Autonomous

9:11 2040s - Synthetic Holos Replace Digital Twins


#digitaltwin #digitaltransformation #industry40 #singularity #artificialintelligence #ai #machinelearning #robotics #humanoid #humanoidrobot #humanoidrobots #digitalthread #plm #digitalengineering #cad #3d #bigdata #blockchain #iiot #4ir #manufacturing #digitaltwins #futuretechnology #futuretech #smartcity #iot #internetofthings #innovation #quantumcomputing #digitalimmortality #transhumanism #simulation

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