Fastest Quantum Search for Extreme Point

نویسنده

  • Yuri Ozhigov
چکیده

Let φ be some integer function on words of length n and oracle Oφ gives the value φ(x) for a given x. It is shown how quantum algorithm can find a point of maximum of φ with the probability of error 2/3 applying oracle Oφ 32 √ 2n times. This algorithm is optimal in within constant factor in the following sense. Any other algorithm acting in substantially shorter time o( √ 2n) (n −→ ∞) gives incorrect answer for the functions φ with the single point of maximum chosen randomly with probability Perror −→ 1. The lower bound as Ω( √ 2n/b) is established for the quantum search for solution of equations f(x) = 1 where f is a Boolean function with b such solutions chosen at random with asymptotic probability 1 (n −→ ∞).

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Lower bounds of Quantum Search for Extreme Point

We show that Durr-Hoyer’s quantum algorithm of searching for extreme point of integer function can not be sped up for functions chosen randomly. Any other algorithm acting in substantially shorter time o( √ 2n) (n −→ ∞) gives incorrect answer for the functions φ with the single point of maximum chosen randomly with probability Perror −→ 1. The lower bound as Ω( √ 2n/b) is established for the qu...

متن کامل

Outlier Detection Using Extreme Learning Machines Based on Quantum Fuzzy C-Means

One of the most important concerns of a data miner is always to have accurate and error-free data. Data that does not contain human errors and whose records are full and contain correct data. In this paper, a new learning model based on an extreme learning machine neural network is proposed for outlier detection. The function of neural networks depends on various parameters such as the structur...

متن کامل

Online Computation of Fastest Path in Time-Dependent Spatial Networks

The problem of point-to-point fastest path computation in static spatial networks is extensively studied with many precomputation techniques proposed to speed-up the computation. Most of the existing approaches make the simplifying assumption that travel-times of the network edges are constant. However, with real-world spatial networks the edge travel-times are time-dependent, where the arrival...

متن کامل

VIEWPOINT Seeing Scrambled Spins

P hysicists have long wondered whether and how isolated quantum systems thermalize—questions that are relevant to systems as diverse as ultracold atomic gases and black holes. Recent theoretical and experimental advances are bringing fresh insight into this line of inquiry. At one extreme, researchers have shown that disorder can fully arrest thermalization in certain isolated many-body quantum...

متن کامل

Finding Data Broadness Via Generalized Nearest Neighbors

A data object is broad if it is one of the k-Nearest Neighbors (k-NN) of many data objects. We introduce a new database primitive called Generalized Nearest Neighbor (GNN) to express data broadness. We also develop three strategies to answer GNN queries efficiently for large datasets of multidimensional objects. The R*-Tree based search algorithm generates candidate pages and ranks them based o...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1998