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DARPA release highlights difficulty in developing quantum finance solutions

Quantum computing for finance is proving to be one of the harder problems for scientists in the field.

Researchers from a number of prestigious laboratories throughout the United States, including MIT’s Lincoln laboratory, NASA, and the Los Alamos National Laboratory, recently collaborated with a government program to identify and benchmark key areas for quantum computing researchers to focus on. 

The U.S. government’s military think tank, the Defense Advanced Research Projects Agency (DARPA) led the research. Its purported purpose was to provide an overview of current and future quantum computing capabilities in areas such as chemistry and material science. But, in the field most related to future finance and fintech applications, the team wasn’t able to determine if quantum computing could provide a clear advantage.

Scientists believe quantum computing will one day demonstrate a clear advantage (called “quantum advantage” or “quantum supremacy”) over classical, binary computers in a variety of different computations.

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Harvard scientists claim breakthrough, ‘advent of early error-corrected quantum computation’

The team’s results, once reviewed, could represent a significant milestone in quantum computing research.

When industry insiders talk about a future where quantum computers are capable of solving problems that classical, binary computers can’t, they’re referring to something called “quantum advantage.”

In order to achieve this advantage, quantum computers need to be stable enough to scale in size and capability. By-and-large, quantum computing experts believe the largest impediment to scalability in quantum computing systems is noise.

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