This paper defines a new combinatorial optimization problem, namely General Combinatorial Optimization Problem (GCOP), whose decision variables are a set of parametric algorithmic components, i.e.

Japanese researchers advance combinatorial problem solving Some tasks cannot be solved easily on classical computers.

--MicroAlgo Inc., today announced that their research and development team has improved the stability and practicality of the algorithm by optimizing the quantum circuit design, reducing the qubit ...

Compared to classical search algorithms, the Grover algorithm theoretically reduces the search complexity to O (√N), providing exponential speedup when processing large-scale unordered databases.

The combination of quantum neural networks and Grover's algorithm enhances adaptability, making the search system capable of self-learning, automatically adjusting search strategies with data ...

The library sorting problem is used across computer science for organizing far more than just books. A new solution is less than a page-width away from the theoretical ideal.

The algorithm addresses something called the library sorting problem (more formally, the “list labeling” problem). The challenge is to devise a strategy for organizing books in some kind of sorted ...

Math’s “best-choice problem” could help humans become better decision-makers at everything from choosing the best job candidate to finding a romantic partner ...

Learn how Grover's algorithm and its extensions can speed up the search for a specific element in an unsorted database using quantum computing.