Classically, there are 3 popular ways to think about computation: Turing machine, circuits, and lambda-calculus (I use this as a catch all for most functional views). All 3 have been fruitful ways to think about different types of problems, and different fields use different formulation for this reason.
When I work with quantum computing, however, I only ever think about the circuit model. Originally, QC was defined in terms of quantum Turing machines but as far as I understand, this definition (although equivalent to quantum circuits if both are formulated carefully) has not been nearly as fruitful. The 3rd formulation (in terms of lambda-calculus or similar functional settings) I am completely unfamiliar with. Hence my questions:
What are useful definitions of quantum lambda-calculus (or other functional paradigms)?
What subfields of QIP gain deeper insight from using this formulation instead of the circuit model?
Notes
I am aware that I am ignoring many other popular formalisms like cellular automata, RAM-models, etc. I exclude these mostly because I don't have experience with thinking in terms of these models classically, let alone quantumly.
I am also aware that there are popular alternatives in the quantum setting, such as measurement-based, topological, and adiabatic. I do not discuss them because I am not familiar with the classical counterparts.
Asked By : Artem Kaznatcheev
Answered By : Alessandro Cosentino
here is a half-baked answer: I know that Ugo Dal Lago at University of Bologna has been studying quantum lambda calculus. You may want to check his publications and perhaps this one in particular:
Quantum implicit computational complexity by U. Dal Lago, A. Masini, M. Zorzi.
I am saying it's a half-baked answer, because I haven't had chance to read any of his works.
Best Answer from StackOverflow
Question Source : http://cs.stackexchange.com/questions/971
0 comments:
Post a Comment
Let us know your responses and feedback