Quantum algorithm for SAT problem andquantum mutual entropy
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Publication:930728
DOI10.1016/S0034-4877(05)80007-2zbMath1140.81335arXivquant-ph/0406214OpenAlexW2087897565MaRDI QIDQ930728
Publication date: 1 July 2008
Published in: Reports on Mathematical Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/quant-ph/0406214
Quantum computation (81P68) Measures of information, entropy (94A17) Channel models (including quantum) in information and communication theory (94A40)
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Cites Work
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- Some aspects of quantum information theory and their applications to irreversible processes
- Relative entropy and the Wigner-Yanase-Dyson-Lieb concavity in an interpolation theory
- Quantum information theory
- Relative entropy for states of von Neumann algebras. II
- Complexities and their applications to characterization of chaos
- Compound channels, transition expectations, and liftings
- Information dynamics and open systems. Classical and quantum approach
- New quantum algorithm for studying NP-complete problems
- The capacity of a quantum channel for simultaneous transmission of classical and quantum information
- Stationary quantum source coding
- Calculation of the amount of information about a random function contained in another such function
- Quantum theory, the Church–Turing principle and the universal quantum computer
- Quantum Complexity Theory
- Strengths and Weaknesses of Quantum Computing
- How Can We Observe and Describe Chaos?
- Entanglement, quantum entropy and mutual information
- A Stochastic Limit Approach to the SAT Problem
- On compound state and mutual information in quantum information theory (Corresp.)
- Theory of transmission of information
- Conditional expectation in an operator algebra. IV. Entropy and information