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For combinatorial optimization, the quantum approximate optimization algorithm (QAOA) [6] briefly had a better approximation ratio than any known polynomial time classical algorithm (for a certain problem), [7] until a more effective classical algorithm was proposed. [8] The relative speed-up of the quantum algorithm is an open research question.
Quantum annealing (QA) is an optimization process ... As the first company dedicated to producing software applications for commercially available quantum computers ...
In quantum computing, a quantum algorithm is an algorithm that runs on a realistic model of quantum computation, the most commonly used model being the quantum circuit model of computation. [ 1 ] [ 2 ] A classical (or non-quantum) algorithm is a finite sequence of instructions, or a step-by-step procedure for solving a problem, where each step ...
Neuromorphic quantum computing (abbreviated as ‘n.quantum computing’) is an unconventional computing type of computing that uses neuromorphic computing to perform quantum operations. It was suggested that quantum algorithms, which are algorithms that run on a realistic model of quantum computation, can be computed equally efficiently with ...
In quantum computing, the variational quantum eigensolver (VQE) is a quantum algorithm for quantum chemistry, quantum simulations and optimization problems.It is a hybrid algorithm that uses both classical computers and quantum computers to find the ground state of a given physical system.
Many quantum computing stocks have risen well above Wall Street's price targets, ... It's very different from programming digital computers. It's great for optimization tasks, as it can provide ...
Adiabatic quantum computing has been shown to be polynomially equivalent to conventional quantum computing in the circuit model. [ 6 ] The time complexity for an adiabatic algorithm is the time taken to complete the adiabatic evolution which is dependent on the gap in the energy eigenvalues ( spectral gap ) of the Hamiltonian.
Trapped-ion quantum computing leader IonQ (NYSE: IONQ) is emerging as a potential leader in the commercialization of quantum computing through its trapped-ion technology approach. Unlike ...
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