Generalized Grover’s Algorithm for Multiple Phase Inversion States

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Simple Theoretical Model for Prediction of Phase Inversion

Phase inversion in liquid-liquid dispersions corresponds to the transitional boundary between Oil-in-Aqueous dispersion and Aqueous-in-Oil dispersion. A theoretical model based on simple assumptions was proposed to predict phase inversion point, ambivalence region and the hysteresis effect of inversion. Experimental data from the literature were used to validate the model and results were c...

متن کامل

Generalized states on EQ-algebras

In this paper, we introduce a notion of generalized states from an EQ-algebra E1 to another EQ-algebra E2, which is a generalization of internal states (or state operators) on an EQ-algebra E. Also we give a type of special generalized state from an EQ-algebra E1 to E1, called generalized internal states (or GI-state). Then we give some examples and basic properties of generalized (internal) st...

متن کامل

A generalized dual phase-2 simplex algorithm

Real-life linear programming (LP) problems include all types of variables and constraints. Current versions of the primal simplex method are well prepared to handle such problems efficiently. At the same time, the usefulness of the dual simplex method was thought to be limited to the standard problem though it could be the ideal algorithm in many other cases. For instance, most solution methods...

متن کامل

Algorithm for a Generalized, Multiple Depot Hamiltonian Path Problem

We consider a Generalized, Multiple Depot Hamiltonian Path Problem (GMDHPP) and show that it has an algorithm with an approximation ratio of 32 if the costs are symmetric and satisfy the triangle inequality. This improves on the 2-approximation algorithm already available for the same.

متن کامل

A Faster Algorithm for Generalized Multiple-Instance Learning

In our prior work, we introduced a generalization of the multiple-instance learning (MIL) model in which a bag’s label is not based on a single instance’s proximity to a single target point. Rather, a bag is positive if and only if it contains a collection of instances, each near one of a set of target points. This generalized model is much more expressive than the conventional multipleinstance...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Physical Review Letters

سال: 2018

ISSN: 0031-9007,1079-7114

DOI: 10.1103/physrevlett.120.060501