Shulou(Shulou.com)11/24 Report--

CTOnews.com, June 28, Microsoft Research revealed today that over the past three years, the company has been developing a computer that uses photons and electrons instead of transistors to process data. This kind of computer, called Analog iterative Machine (AIM), can break through the limitations of Moore's Law and solve some specific problems.

Moore's Law, proposed by Gordon Moore, one of the founders of Intel in the last century, refers to the number of transistors that can be held on an integrated circuit, which doubles about every two years. However, as the size of the transistor gets smaller and smaller, this law begins to reach its limit.

Microsoft says analog optical computing uses simulation technologies, including optics and electronics, to build a physical system that is constrained by being able to capture the equations needed to calculate. This is very effective for some application categories that are mainly linear and nonlinear operations. In the optimization problem, finding the optimal solution is like looking for a needle in a haystack. The Microsoft team has developed a new algorithm that is very efficient in such needle hunting tasks. The core operation of the algorithm involves performing hundreds of thousands or even millions of times vector-matrix multiplication. The vector represents the problem variable whose value needs to be determined, while the matrix encodes the problem itself.

Microsoft also revealed that it said Barclays Financial's Lee Braine was using analog iterators to help track large amounts of capital transactions in stock purchases. This problem is difficult to solve because the trading volume is very large. Braine says these transactions are often described as a currency-handling system. A simple example is the delivery of a security in cash-100 shares of a company for $1000. The problem is that every transaction and every participant is subject to a variety of constraints, including regulations and available balances. The number of such transactions is staggering. He cites the example of DTCC, a clearinghouse whose subsidiaries processed $2.5 trillion worth of transactions in 2022. Since most large banks use clearinghouses, the study is likely to benefit the entire banking system.

According to CTOnews.com, Barclays will try Microsoft's AIM within a year, and if successful, the optoelectronic hybrid computer could be used for other types of financial tasks, such as fraud detection.

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