A 2-packing set S is maximal if it does not exist other 2-packing set S′ such that S⊂S′. A maximum 2-packing set is the one of largest cardinality among all maximal 2-packing sets. Castro et al. [12] use the
thrust::max_element: Returns the largest from a sequence. • thrust::is_sorted: Returns true if the sequence is sorted. • thrust::inner_product: Calculates the inner product of two vectors. In its generic form, this algorithm can be supplied custom “multiplication” (transformation) and...
For the largest circuits simulated, we reach 54 qubits at 4 QAOA layers, approximately implementing 324 RZZ gates and 216 RX gates without requiring large-scale computational resources. For larger systems, our approach can be used to provide accurate QAOA simulations at previously unexplored ...
We propose a quantum inverse iteration algorithm, which can be used to estimate ground state properties of a programmable quantum device. The method relies on the inverse power iteration technique, where the sequential application of the Hamiltonian inve
1577.Number-of-Ways-Where-Square-of-Number-Is-Equal-to-Product-of-Two-Numbers (H-) 1775.Equal-Sum-Arrays-With-Minimum-Number-of-Operations (M+) 1868.Product-of-Two-Run-Length-Encoded-Arrays (M+) 2098.Subsequence-of-Size-K-With-the-Largest-Even-Sum (M+) Binary Search 004.Median-of-...
This is arguably the largest and most popular group of machine learning algorithms. And no wonder: supervised learning is flexible, comprehensive, and covers a lot of the common ML tasks that are in high demand today. In opposition to unsupervised learning, supervised algorithms require labeled dat...
The objective is to find the shortest route visiting each city once and returning to the starting point. Therefore, each solution to the problem is a sequence with length of N, i.e., \(\mathbb {C}=(C_1, C_2,\cdots ,C_N)\). The cost function of the solution is \(S=L_{C_...
2018, 7, 18 2 of 23 The largest difference between the graph optimization method and the Bayes filtering method is that the former makes no Markov assumption and directly maintains the previous statuses [15]. The solution obtained with the graph optimization method is the optimal result under a...
The mobile node location method can find unknown nodes in real time and capture the movement trajectory of unknown nodes in time, which has attracted more and more attention from researchers. Due to their advantages of simplicity and efficiency, intelligent optimization algorithms are receiving increasi...
The adjacent_find algorithm is a nonmutating sequence algorithm. The range to be searched must be valid. All pointers must be dereferenceable, and the last position must be reachable from the first by incrementation. The time complexity of the algorithm is linear in the number of elements ...