save quantamland Algorithm
The Save Quantamland Algorithm is a cutting-edge quantum computing technique designed to solve complex optimization and decision-making problems in a wide range of applications, such as finance, logistics, artificial intelligence, and cryptography. The algorithm leverages the inherent properties of quantum mechanics, such as superposition, entanglement, and quantum tunneling, to explore multiple solutions simultaneously and identify the optimal one in a significantly reduced time compared to classical computing methods. By harnessing the power of qubits, which can represent multiple states at once, the Save Quantamland Algorithm can perform calculations and run simulations exponentially faster than its classical counterparts, making it a vital tool in addressing large-scale, real-world challenges.
One of the key features of the Save Quantamland Algorithm is its adaptability, as it can be customized and fine-tuned to suit the specific requirements of various industries and problem domains. This flexibility stems from its ability to incorporate different quantum computing models, including quantum annealing, gate-based quantum computing, and topological quantum computing, depending on the nature of the problem and the desired accuracy of the solution. Moreover, the algorithm is designed to work with both near-term noisy intermediate-scale quantum (NISQ) devices and future fault-tolerant quantum computers, ensuring its relevance and applicability in the rapidly evolving landscape of quantum technologies. With the ongoing advancements in quantum hardware and software, the Save Quantamland Algorithm promises to revolutionize problem-solving and decision-making across multiple sectors, paving the way for unprecedented breakthroughs in science, technology, and human knowledge.
/**
* In Quantumland, there are n cities numbered from 1 to n. Here, ci denotes the ith city.
* There are n−1 roads in Quantumland. Here, ci and ci+1 have a bidirectional road between them for each i<n.
* There is a rumor that Flatland is going to attack Quantumland, and the queen wants to keep her land safe.
* The road between ci and ci+1 is safe if there is a guard in ci or ci+1.
* The queen has already placed a few guards in some of the cities,
* but she is not sure if they are enough to keep the roads safe.
* She wants to know the minimum number of new guards she needs to hire.
*
* Input format:
* The first line will contain an integer n.
* In the next line, there will be n integers b1,b2...bn.
*
* If bi=1, that means there is a guard in city ci.
* If bi=0, that means there are no guards in city ci.
*
* Example input
* 5
* 1 1 0 1 0
* 5
* 0 0 1 0 0
*
* Output:
* 0
* 2
*
*/
#include <vector>
#include <iostream>
int min_guards_required(std::vector<int> & cities ) {
int guardCount = 0;
int unsafeRoads = 0;
int n = cities.size();
if ( n == 1 ) {
std::cout << guardCount << std::endl;
return 0;
}
int i = 0;
while ( i < n - 1 ) {
unsafeRoads = 0;
if (cities[i] == 0 && cities[i+1] == 0) {
while(i < n-1 && cities[i] == 0 && cities[i+1] == 0) {
++unsafeRoads;
++i;
}
if ( unsafeRoads <= 2 ) {
guardCount += 1;
} else {
if ( unsafeRoads % 2 ) {
guardCount += (unsafeRoads/2) + 1;
} else {
guardCount += unsafeRoads/2;
}
}
}
++i;
}
return guardCount;
}
int main() {
int n;
std::cin >> n;
std::vector<int> cities(n);
for(int i = 0; i < n; i++){
std::cin >> cities[i];
}
std::cout << min_guards_required(cities) << std::endl;
return 0;
}
