Quemix, Toyota, Toyota Central R&D Labs, and the University of Tokyo Demonstrate Efficient 'Task Distribution' in Quantum Chemistry Calculations Using Classical-Quantum Hybrid Computers
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55/100
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10
AI Summary (NQ-processed)
A joint research team including Quemix, Toyota, Toyota Central R&D Labs, and the University of Tokyo has demonstrated an efficient task distribution method for hybrid classical-quantum computing in quantum chemistry. By using the Density Matrix Renormalization Group (DMRG) method on classical computers to maximize precision before passing the state to the proprietary 'PITE®' quantum algorithm, the team significantly reduced computational costs.
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Frequently Asked Questions
- Q: What is Quemix's role in this project?
- A: Quemix provides the proprietary PITE® quantum algorithm and leads the research on quantum chemistry algorithms.