About this Research Topic
Adiabatic Quantum Computing (AQC) relies on the idea of embedding a problem into a physical system, such that the systems lowest energy configuration stores the problems solution. While any quantum algorithm can be run on a universal adiabatic quantum computer in principle, combinatorial optimisation problems appear to be the most natural for near-term devices. Recent experimental progress has resulted in annealers with around 500 spins and studying the quantum properties of these devices has sparked dramatic interest and scientific debate in this rapidly growing area. More generally, ground state computation unites computer science and physics by studying the computational complexity of evolving a system into its ground state. Theoretical and experimental papers as well as detailed numerical investigations related to adiabatic quantum computation and quantum annealing are sought.
Article submission dates have been chosen to coincide with AQC 2014 (though this Frontiers in Physics Research Topic and AQC 2014 are independent).
Suggested topics include:
AQC universality
Novel approaches to embed quantum circuit algorithms
Error correction
Experimental demonstrations of small scale optimization algorithms
Graph and switching circuit embeddings with gadget Hamiltonians
The adiabatic theorem
Hamiltonian complexity theory
Article submission dates have been chosen to coincide with AQC 2014 (though this Frontiers in Physics Research Topic and AQC 2014 are independent).
Suggested topics include:
AQC universality
Novel approaches to embed quantum circuit algorithms
Error correction
Experimental demonstrations of small scale optimization algorithms
Graph and switching circuit embeddings with gadget Hamiltonians
The adiabatic theorem
Hamiltonian complexity theory
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
