Quantum approximate optimization algorithmParameter transferabilityError mitigationThe quantum approximate optimization algorithm (QAOA) is one of the most promising candidates for achieving quantum advantage through quantum-enhanced combinatorial optimization. Optimal QAOA parameter concentration effects for special ...
In essence, we use the optimization algorithm with the “larger” ψθ as the target state ϕ. The optimization results in a new RBM state with fewer hidden units that closely approximates the old RBM with fidelity > 0.98 in all our tests. We then proceed to simulate the rest of ...
The encoding of the problem (independent of the optimization algorithm) and the quantum algorithm used to address it are fully described in “Methods”. In general terms, the cost function associated to a conformation consists of Lennard–Jones interactions between all pairs of atoms and a ...
The authors defined an online optimization algorithm based on Gaussian processes and applied it to optimization of the production of Bose–Einstein condensates (BEC). They utilized the fundaments of machine learning to build up a statistical model of some parameters that are connected to the ...
One of the well-known quantum algorithms is thequantum approximate optimization algorithm(QAOA) proposed by [18]. QAOA aims to solve the problem of maximizing the...
aMax-Cut. The Max-Cut problem can be formulated as quadratic program, which can be solved using many several different algorithms in Qiskit. In this example, the MinimumEigenOptimizer is employed in combination with the Quantum Approximate Optimization Algorithm (QAOA) as minimum eigensolver routine...
Most ViewedRefers to the articles published on the journal within the last three years that have gained the most viewing times to date (Statistics provided by TSP database) Open Access ARTICLE Analysis of Innovative Quantum Optimization Solutions for Shor’s Period Finding Algorithm Applied to the ...
In these frameworks you don’t provide any optimization parameters or underlying model of the physics you’re trying to exploit. Instead, you simply provide the algorithm a set of actions it can take, the ability to perform experiments, and then a decision engine to determine what to do with...
Quantum behaved particle swarm algorithm is a new intelligent optimization algorithm; the algorithm has less parameters and is easily implemented. In view of the existing quantum behaved particle swarm optimization algorithm for the premature convergence problem, put forward a quantum particle swarm optimiz...
Triangle Finding Problem: Finds a triangle within a dense, undirected graph. The app is parameterized by the number of nodes n in the graph. Boolean Formula: Uses the quantum algorithm described in the citation in the full documentation, to compute a winning strategy for the game of Hex. The...