quantum algorithms:
under construction
Quantum information refers to data that can be physically stored in a quantum system.
Quantum information theory is the study of how such information can be encoded, measured, and manipulated. A notable sub-field is quantum computation, a term often used synonymously with quantum information theory, which studies protocols and algorithms that use quantum systems to perform computations.
Categorical quantum information refers to a program in which the cogent aspects of Hilbert space-based quantum information theory are abstracted to the level of symmetric monoidal categories.
Brief synopsis of teleportation, entanglement swapping, BB84, E91, Deutsch-Jozsa, Shor should go here…
There is a formulation of (aspects of) quantum mechanics in terms of dagger-compact categories. This lends itself to (and is in fact motivated by) to a discussion of quantum information.
The linear adjoint $(-)^\dagger$ gives Hilbert spaces the structure of a †-category. The category of Hilb of Hilbert spaces forms a †-symmetric monoidal category, that is, a symmetric monoidal category equipped with a symmetric monoidal functor $(-)^\dagger$ from $Hilb^{op}$ to $Hilb$. Furthermore, the category FHilb of finite dimensional Hilbert spaces forms a †-compact closed category, or a compact closed category such that $A_*$ := $(A^*)^\dagger = (A^\dagger)^*$ and $(\eta_A)^\dagger = \epsilon_{A^*}$.
Graphical notation via Penrose notation/string diagrams/tensor networks:
Morphisms in a monoidal category (and 2-categories in general) are inherently two dimensional, where $\circ$ is vertical composition and $\otimes$ is horizontal composition. These satisfy an interchange law:
So, if we think of these four morphisms as occupying a spot in 2 dimensional space:
Aleks Kissinger: TODO: figure
we realize that the bracketing from above is essentially meaningless syntax. This notion is the guiding concept for the graphical notation of monoidal categories, or string diagrams. In this notation, we represent objects $A,B$ as directed strings and arrows $f : A \rightarrow B$ as boxes.
We represent the tensor product as juxtaposition:
and composition as graph composition:
That is, we perform a pushout along the common edge in the category of typed graphs with boundaries. Consider the interchange law from above, but replacing some of the arrows with identities.
Graphically, this means we can “slide boxes” past each other.
CPM, classical structures, …
Textbook accounts:
Masahito Hayashi, Quantum information theory - mathematical foundation Graduate Texts in Physics (2017)
Nielsen, Chuang, Quantum computation and quantum information, Cambridge Univeristy Press, ch1 pdf
Sumeet Khatri, Mark M. Wilde, Principles of Quantum Communication Theory: A Modern Approach (arXiv:2011.04672)
Giuliano Benenti, Giulio Casati, Davide Rossini, Principles of Quantum Computation and Information, World Scientific 2018 (doi:10.1142/10909, 2004 pdf)
In a context of quantum optics:
Lecture notes:
See also:
Wikipedia, Quantum information
Wikipedia, Bures metric
Quantiki – Quantum Information Portal and Wiki
Further original articles:
Carmen Maria Constantin, Sheaf-theoretic methods in quantum mechanics and quantum information theory, PhD thesis, Oxford 2015 arxiv/1510.02561
Samson Abramsky, Adam Brandenburger, The sheaf-theoretic structure of nonlocality and contextuality, arxiv/1102.0264
Dominik Šafránek, Simple expression for the quantum Fisher information matrix), Phys. Rev. A97 (2018) doi
Roman Orus, Entanglement, quantum phase transitions and quantum algorithms (arXiv:quant-ph/0608013)
In Chapter 1 we consider the irreversibility of renormalization group flows from a quantum information perspective by using majorization theory and conformal field theory.
Quantum information in relation to the representation theory of the symmetric group:
Last revised on May 22, 2021 at 12:32:49. See the history of this page for a list of all contributions to it.