The facts are data, and the useful information is knowledge for people, instructions for machines or input for yet another algorithm. There are many common examples of algorithms, from sorting ...

That benchmark is only valid for that particular machine, that particular implementation of the algorithm, and for the size of the input data. As computer scientist, we use time complexity and ...

The computer system can quickly tell when we have input the incorrect credit card information since the Luhn algorithm has been incorporated into those systems’ programming. Without it ...

That’s because algorithms are still a “black box”: while researchers understand how they generally function, it’s often unclear why a specific output follows a particular input.

Algorithms that carry out this 'quantum compilation ... it must translate complex input data into "quantum data" that it can understand. This process is known as quantum compilation.