Positivity of the assignment map implies complete positivity of the reduced dynamics
Creators
- 1. University of Neyshabur. Research Department of Astronomy and Cosmology (Iran, Islamic Republic of)
- 2. University of Neyshabur. Department of Physics (Iran, Islamic Republic of)
Description
Consider the set of possible initial states of the system-environment. The map which assigns to each a is called the assignment map. The assignment map is Hermitian, in general. In this paper, we restrict ourselves to the case that the assignment map is, in addition, positive and show that this implies that the so-called reference state is a Markov state. Markovianity of the reference state leads to existence of another assignment map which is completely positive. So, the reduced dynamics of the system is also completely positive. As a consequence, when the system S is a qubit, we show that if includes entangled states, then either the reduced dynamics is not given by a map, for, at least, one unitary time evolution of the system-environment U, or the reduced dynamics is non-positive, for, at least, one U.
Additional details
Identifiers
Publishing Information
- Journal Title
- Quantum Information Processing (Print)
- Journal Volume
- 19
- Journal Issue
- 9
- Journal Page Range
- vp.
- ISSN
- 1570-0755
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55092115
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- CONTROL THEORY; DYNAMICS; ENERGY LEVELS; INFORMATION THEORY; MAPS; MARKOV PROCESS; MATHEMATICAL EVOLUTION; MIXED STATE; MIXED STATES; PURE STATES; QUANTUM COMPUTERS; QUANTUM DECOHERENCE; QUANTUM MECHANICS; QUANTUM OPTICS; QUANTUM TELEPORTATION; QUBITS
- Descriptors DEC
- COMPUTERS; EVOLUTION; INFORMATION; MECHANICS; OPTICS; QUANTUM INFORMATION; QUANTUM STATES; STOCHASTIC PROCESSES
Optional Information
- Copyright
- Copyright (c) 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020