Similarities between Quantum computing and Simon's problem
Quantum computing and Simon's problem have 9 things in common (in Unionpedia): BPP (complexity), BQP, Deutsch–Jozsa algorithm, Hidden subgroup problem, Measurement in quantum mechanics, P (complexity), Quantum algorithm, Randomized algorithm, Shor's algorithm.
BPP (complexity)
In computational complexity theory, BPP, which stands for bounded-error probabilistic polynomial time is the class of decision problems solvable by a probabilistic Turing machine in polynomial time with an error probability bounded away from 1/2 for all instances.
BPP (complexity) and Quantum computing · BPP (complexity) and Simon's problem ·
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 computing · BQP and Simon's problem ·
Deutsch–Jozsa algorithm
The Deutsch–Jozsa algorithm is a quantum algorithm, proposed by David Deutsch and Richard Jozsa in 1992 with improvements by Richard Cleve, Artur Ekert, Chiara Macchiavello, and Michele Mosca in 1998.
Deutsch–Jozsa algorithm and Quantum computing · Deutsch–Jozsa algorithm and Simon's problem ·
Hidden subgroup problem
The hidden subgroup problem (HSP) is a topic of research in mathematics and theoretical computer science.
Hidden subgroup problem and Quantum computing · Hidden subgroup problem and Simon's problem ·
Measurement in quantum mechanics
The framework of quantum mechanics requires a careful definition of measurement.
Measurement in quantum mechanics and Quantum computing · Measurement in quantum mechanics and Simon's problem ·
P (complexity)
In computational complexity theory, P, also known as PTIME or DTIME(nO(1)), is a fundamental complexity class.
P (complexity) and Quantum computing · P (complexity) and Simon's problem ·
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 algorithm and Quantum computing · Quantum algorithm and Simon's problem ·
Randomized algorithm
A randomized algorithm is an algorithm that employs a degree of randomness as part of its logic.
Quantum computing and Randomized algorithm · Randomized algorithm and Simon's problem ·
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 computing and Shor's algorithm · Shor's algorithm and Simon's problem ·
The list above answers the following questions
- What Quantum computing and Simon's problem have in common
- What are the similarities between Quantum computing and Simon's problem
Quantum computing and Simon's problem Comparison
Quantum computing has 218 relations, while Simon's problem has 22. As they have in common 9, the Jaccard index is 3.75% = 9 / (218 + 22).
References
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