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Peer Review Statement
All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double Anonymous • Conference submission management system: Morressier • Number of submissions received: 86 • Number of submissions sent for review: 86 • Number of submissions accepted: 30 • Acceptance Rate (Submissions Accepted / Submissions Received × 100): 35% • Average number of reviews per paper: 1.00 • Total number of reviewers involved: 42 • Contact person for queries: Name: Linda Ye Affiliation: The International Society for Applied Computing (ISAC) Email: linda.ye@applied-computing.net
Journal Article
Peer review declaration
All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. Type of peer review: Double-blind. Neither authors nor reviewers know each other’s names. • Conference submission management system: CMT • Number of submissions received: 80 • Number of submissions sent for review: 80 • Number of submissions accepted:41 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100):51% • Average number of reviews per paper: 1-2 • Total number of reviewers involved:50 • Any additional info on review process: Contact person for queries: Linda Ye, The International Society for Applied Computing (ISAC), linda.ye@applied-computing.net
Journal Article
Image Segmentation Using Euleras Elastica as the Regularization
The active contour segmentation model of Chan and Vese has been widely used and generalized in different contexts in the literature. One possible modification is to employ Euleras elastica as the regularization of active contour. In this paper, we study the new effects of this modification and validate them numerically using the augmented Lagrangian method.
Journal Article
Adiabatic Quantum Computation Is Equivalent to Standard Quantum Computation
The model of adiabatic quantum computation is a relatively recent model of quantum computation that has attracted attention in the physics and computer science communities. We describe an efficient adiabatic simulation of any given quantum circuit. This implies that the adiabatic computation model and the standard circuit-based quantum computation model are polynomially equivalent. Our result can be extended to the physically realistic setting of particles arranged on a two-dimensional grid with nearest neighbor interactions. The equivalence between the models allows one to state the main open problems in quantum computation using well-studied mathematical objects such as eigenvectors and spectral gaps of Hamiltonians.
Journal Article