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- 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. 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 or instruction can be performed on a classical computer.
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See all on Wikipediahttps://en.wikipedia.org/wiki/Quantum_algorithmIn 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. A classical (or non-quantum) algorithm is a finite sequence of instructions, or a step-by-step procedure … See more
Quantum algorithms are usually described, in the commonly used circuit model of quantum computation, by a quantum circuit which acts on some input qubits and terminates with a measurement. A quantum circuit … See more
The quantum Fourier transform is the quantum analogue of the discrete Fourier transform, and is used in several quantum algorithms. The See more
A quantum walk is the quantum analogue of a classical random walk, which can be described by a probability distribution over some states. A quantum walk can be described by a See more
Hybrid Quantum/Classical Algorithms combine quantum state preparation and measurement with classical optimization. These algorithms generally aim to determine the ground state eigenvector and eigenvalue of a Hermitian Operator.
QAOA See moreAmplitude amplification is a technique that allows the amplification of a chosen subspace of a quantum state. Applications of amplitude … See more
The complexity class BQP (bounded-error quantum polynomial time) is the set of decision problems solvable by a quantum computer See more
Wikipedia text under CC-BY-SA license- https://en.wikipedia.org/wiki/Quantum_optimization_algorithms
Quantum optimization algorithms are quantum algorithms that are used to solve optimization problems. Mathematical optimization deals with finding the best solution to a problem (according to some criteria) from a set of possible solutions. Mostly, the optimization problem is formulated as a minimization problem, where one tries to minimize an error which depends on the solution: the optimal solution has the minimal error. Different optimization techniques are applied in various fi…
Wikipedia · Text under CC-BY-SA license- Estimated Reading Time: 9 mins
Quantum algorithm for linear systems of equations - Wikipedia
https://en.wikipedia.org/wiki/Quantum_algorithm...- The quantum algorithm for linear systems of equations, also called HHL algorithm, designed by Aram Harrow, Avinatan Hassidim, and Seth Lloyd, is a quantum algorithm published in 2008 for solving linear systems. The algorithm estimates the result of a scalar measurement on the solution vector to a given linear system of equations. The algorithm is o...
- Estimated Reading Time: 9 mins
- https://en.wikipedia.org/wiki/Quantum_counting_algorithm
- Quantum counting algorithm is a quantum algorithm for efficiently counting the number of solutions for a given search problem. The algorithm is based on the quantum phase estimation algorithm and on Grover's search algorithm. Counting problems are common in diverse fields such as statistical estimation, statistical physics, networking, etc. As for ...
- Estimated Reading Time: 7 mins
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Quantum science: learn more | Quantum science and technology
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