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Quantum Fourier transform and Quantum computing

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Quantum Fourier transform and Quantum computing

Quantum Fourier transform vs. Quantum computing

In quantum computing, the quantum Fourier transform (for short: QFT) is a linear transformation on quantum bits, and is the quantum analogue of the discrete Fourier transform. Quantum computing is computing using quantum-mechanical phenomena, such as superposition and entanglement.

Similarities between Quantum Fourier transform and Quantum computing

Quantum Fourier transform and Quantum computing have 11 things in common (in Unionpedia): BQP, Discrete logarithm, Hidden subgroup problem, John Preskill, Michael Nielsen, Quantum algorithm, Quantum circuit, Quantum logic gate, Qubit, Shor's algorithm, Unitary matrix.

BQP

In computational complexity theory, BQP (bounded-error quantum polynomial time) is the class of decision problems solvable by a quantum computer in polynomial time, with an error probability of at most 1/3 for all instances.

BQP and Quantum Fourier transform · BQP and Quantum computing · See more »

Discrete logarithm

In the mathematics of the real numbers, the logarithm logb a is a number x such that, for given numbers a and b. Analogously, in any group G, powers bk can be defined for all integers k, and the discrete logarithm logb a is an integer k such that.

Discrete logarithm and Quantum Fourier transform · Discrete logarithm and Quantum computing · See more »

Hidden subgroup problem

The hidden subgroup problem (HSP) is a topic of research in mathematics and theoretical computer science.

Hidden subgroup problem and Quantum Fourier transform · Hidden subgroup problem and Quantum computing · See more »

John Preskill

John Phillip Preskill (born January 19, 1953) is an American theoretical physicist and the Richard P. Feynman Professor of Theoretical Physics at the California Institute of Technology (Caltech).

John Preskill and Quantum Fourier transform · John Preskill and Quantum computing · See more »

Michael Nielsen

Michael Aaron Nielsen (born January 4, 1974) is a quantum physicist, science writer, and computer programming researcher living in San Francisco.

Michael Nielsen and Quantum Fourier transform · Michael Nielsen and Quantum computing · See more »

Quantum algorithm

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.

Quantum Fourier transform and Quantum algorithm · Quantum algorithm and Quantum computing · See more »

Quantum circuit

In quantum information theory, a quantum circuit is a model for quantum computation in which a computation is a sequence of quantum gates, which are reversible transformations on a quantum mechanical analog of an n-bit register.

Quantum Fourier transform and Quantum circuit · Quantum circuit and Quantum computing · See more »

Quantum logic gate

In quantum computing and specifically the quantum circuit model of computation, a quantum logic gate (or simply quantum gate) is a basic quantum circuit operating on a small number of qubits.

Quantum Fourier transform and Quantum logic gate · Quantum computing and Quantum logic gate · See more »

Qubit

In quantum computing, a qubit or quantum bit (sometimes qbit) is a unit of quantum information—the quantum analogue of the classical binary bit.

Quantum Fourier transform and Qubit · Quantum computing and Qubit · See more »

Shor's algorithm

Shor's algorithm, named after mathematician Peter Shor, is a quantum algorithm (an algorithm that runs on a quantum computer) for integer factorization formulated in 1994.

Quantum Fourier transform and Shor's algorithm · Quantum computing and Shor's algorithm · See more »

Unitary matrix

In mathematics, a complex square matrix is unitary if its conjugate transpose is also its inverse—that is, if where is the identity matrix.

Quantum Fourier transform and Unitary matrix · Quantum computing and Unitary matrix · See more »

The list above answers the following questions

Quantum Fourier transform and Quantum computing Comparison

Quantum Fourier transform has 27 relations, while Quantum computing has 218. As they have in common 11, the Jaccard index is 4.49% = 11 / (27 + 218).

References

This article shows the relationship between Quantum Fourier transform and Quantum computing. To access each article from which the information was extracted, please visit:

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