The case for quantum and quantum-inspired computing in financial services White Paper
What if it were possible to optimize short-term funds management or large portfolios of highly fluid assets in near real-time? Today, this would perhaps just be possible in limited circumstances, but once the number of assets in these calculations starts to grow even modestly, the laws of mathematics take over and the range of possible outcomes quickly spins beyond the reach of even the fastest supercomputers. But a new way of tackling these so-called ‘combinatorial optimization’ problems is removing current constraints, causing CTOs in financial services to take a close look at the emerging new classes of quantum and quantum-inspired computing.
When mathematical calculations get complex enough, they hit the limits of current computing, especially when it comes to optimization calculations. Here, the number of options to be tested in search of the best possible combination can quickly result in numbers that stretch out towards infinity. Until recently, these calculations could be so time-consuming that, by the time an answer was found, it was no longer relevant.
The complexities are mind blogging: in the case of traditional Data Encryption Standard (DES), today’s fastest supercomputer would take around 21 billion years – or one and a half times the age of the universe, to calculate the correct prime factors of a number with 617 decimal digits (in other words, a 2,048-bit key. However, with a quantum computer this task could be manageable instantly.
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White Paper |
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Please see the document for details |
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English Chinese Chinese and English Japanese |
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02-2019 |
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1.4 MB |
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