Thus k-apex graphs are very different from bounded genus graphs in a sense. In addition, for any fixed c, k, we apply our algorithm to obtain a linear time approximation scheme for weighted TSP, and ...

This collection of Julia functions is an attemp to implement high performance numerical software to solve several classes of Lyapunov, Sylvester and Riccati matrix equations at a performance level ...

There are lots of potential ways to arrange different combinations of data and measurement qubits for this to work, each ...

Scientists have developed an exact approach to a key quantum error correction problem once believed to be unsolvable, and have shown that what appeared to be hardware-related errors may in fact be due ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Recent studies have focused on refining and expanding the repertoire of quantum error-correcting codes through innovative techniques that leverage classical linear code theory. For instance ...

However, it is not an easy-to-handle function. For this reason, in this article, we first present a semi-linear approximation of the Marcum Q -function. Our proposed approximation is useful because it ...

Now that we have a better understanding of how the compute environments will work, we need to go back and clean up some of the error handling to make sure it is ...