Quantum Gold Rush, page-314

bztw, 2 Further Docs, in Last Event Link



Panetta, Kasey. “The CIO’s Guide to Quantum Computing,” April 18, 2019, "By 2023, 20% of organizations will be budgeting for quantum computing projects"

Potential applications of quantum computing

Applications for quantum computing will be narrow and focused, as general-purpose quantum computing will most likely never be economical. However, the technology does hold the potential to revolutionize certain industries. Quantum computing could enable breakthroughs by:

• Machine learning: Improved ML through faster structured prediction. Examples include Boltzmann machines, quantum Boltzmann machines, semisupervised learning, unsupervised learning and deep learning.
• Artificial intelligence: Faster calculations could improve perception, comprehension, and circuit fault diagnosis/binary classifiers.
• Chemistry: New fertilizers, catalysts, battery chemistries will all drive improvements in resource utilization
• Biochemistry: New drugs, tailored drugs, and maybe even hair restorer.
• Finance: Quantum computing could enable faster, more complex Monte Carlo simulations; for example, trading, trajectory optimization, market instability, price optimization and hedging strategies.
• Healthcare: DNA gene sequencing, such as radiotherapy treatment optimization/brain tumor detection, could be performed in seconds instead of hours or weeks.
• Materials: super strong materials; corrosion proof paints; lubricants; semiconductors
• Computer science: Faster multidimensional search functions; for example, query optimization, mathematics and simulations.

http://www.gartner.com/smarterwithgartner/the-cios-guide-to-quantum-computing/