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More concrete examples for QC on chemistry/materials science use cases?

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⚡ Quantum Brief
A Reddit discussion highlights the gap between theoretical promises and concrete applications of fault-tolerant quantum computing in chemistry and materials science. While techniques like quantum signal processing and Hamiltonian time evolution are acknowledged, the community seeks tangible breakthroughs, such as discovering high-temperature superconductors or enabling transformative material properties. The debate underscores the need for verifiable examples where quantum computing could outperform classical methods, rather than merely refining known properties. Institutions like MIT, DOE, and NSF are implied as key players in advancing such research, though no specific results or figures are cited.
Why it matters

This debate exposes a critical gap: without concrete, high-impact demonstrations, quantum computing risks remaining a theoretical tool rather than a transformative one for chemistry and materials science.

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Hi guys, The current consensus seems that fault tolerant quantum computing will be a tech catered towards chemical / materials science simulations. I get that we have quantum Signal Processing and Hamiltonian time evolution shenanigans but really where does this concretely lead to it becoming a transformative technology? Like do we have any examples of breakthroughs that it would lead to? Like we talk about high temperature superconductivity but is this actually dead ass gonna be able to find a high temperature superconductor or just help us calculate new but marginally useful properties of materials? Tldr: I want a more concrete example of a chemical/mat sci breakthrough that would be enabled instead of the usual handwaving submitted by /u/0xB01b [link] [comments]

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quantum-materials
telecommunications
government-funding
quantum-computing

Source Information

Source: Reddit r/QuantumComputing (RSS)

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