Examples of using Quantum algorithm in English and their translations into Portuguese
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It's a quantum algorithm used for integer factorization.
Once through these one can perform any type of processing with quantum algorithms.
However, in space-bounded sorts, quantum algorithms outperform their classical counterparts.
Any quantum algorithm can be expressed formally as a particular quantum Turing machine.
Variants of the problem for randomized algorithms and quantum algorithms have also been studied.
Define a quantum algorithm to be a family of quantum circuits specifically, a uniform circuit family.
Interfering possibilities to amplify the correct ones is a common feature of many quantum algorithms.
However, the best known quantum algorithm for this problem, Shor's algorithm, does run in polynomial time.
Q(pronounced as Q sharp) is a domain-specific programming language used for expressing quantum algorithms.
However, for quantum algorithms, the best known lower bound is Ω("n"), but the best known algorithm is O"n"35/27.
As an application, and made a simulation of the perceptron training using the quantum algorithm bbht in trying to find a set of synaptic weights for the solution of the problem.
He proves furthermore that super-recursive algorithms could theoretically provide even greater efficiency gains than using quantum algorithms.
Until recently, the best known quantum algorithm was(a quadratic speedup), while the best known classical algorithm was O2n.
In other words, there would be efficient quantum algorithms that perform tasks that do not have efficient probabilistic algorithms. .
In March 2017, an quantum algorithm was published which gave a near-quadratic speedup for many cases, and it's possible further improvements may still be discovered.
Although of little practical use,it is one of the first examples of a quantum algorithm that is exponentially faster than any possible deterministic classical algorithm. .
Simon exhibited a quantum algorithm, usually called Simon's algorithm, that solves the problem exponentially faster than any(deterministic or probabilistic) classical algorithm. .
In part 2 of this series, we will look more at computational complexity, and explain how and why some quantum algorithms have much lower computational complexity than their classical equivalents.
The simulation of quantum algorithms on classical computers is computationally hard, mainly due to the parallel nature of quantum systems.
Is an American professor of applied mathematics at MIT, most famous for his work on quantum computation,in particular for devising Shor's algorithm, a quantum algorithm for factoring exponentially faster than the best currently-known algorithm running on a classical computer.
Thereatmoreover,, the construction of a quantum algorithm was possible to solve aconstruct in order to solve a problem of sophisticated mathematical recreationexercise called n-queens.
He is known for his work on quantum computation,in particular for devising Shor's algorithm, a quantum algorithm for factoring exponentially faster than the best currently-known algorithm running on a classical computer.
In quantum computing, a quantum algorithm is an algorithm which runs on a realistic model of quantum computation, the most commonly used model being the quantum circuit model of computation.
The QCL standard library provides standard quantum operators used in quantum algorithms such as: controlled-not with many target qubits, Hadamard operation on many qubits, parse and controlled phase.
Because quantum algorithms generally involve some process in which all possible solutions are tried out and the correct one is then selected by amplitude amplification, quantum computers seem like they should be excellent at solving optimisation problems.
Peter Shor has pointed out that for a quantum algorithm to give an interesting speedup, the computational paths to the right answer need to interfere constructively, and the paths to the wrong answer need to cancel each other out.
We show that it is possible to implement quantum algorithms by means of the dynamical invariants. focusing on groverâ¿s algorithm, we demonstrated that there is a shortcut to the best possible adiabatic algorithm. .
In this case, the use of search quantum algorithms is tied directly to performance with respect to the classical method: using a quantum computer can find an element in an unsorted database using only$o(\sqrt{n})$ queries.
Explicitly, a language L is in PostBQP if there is a quantum algorithm A so that after running A on input x and measuring the two qubits P and Q, P 1 with nonzero probability if the input x is in L then Pr≥ 2/3 if the input x is not in L then Pr≥ 2/3.