Results 101 to 110 of about 562,872 (260)

Quantum Inspired Universal Analog Computation Based on Circuits

Advanced Quantum Technologies, EarlyView.
We propose an analog scheme of classical circuit for universal quantum computation. The information is encoded using correlated electrical signals, and the number of the basic computing components employed in our circuit design is consistent with the number of the quantum gate in the quantum circuit.
Hanxu Zhang, Yifan Sun, Xiangdong Zhang
wiley   +1 more source

一类矩阵特征值的不等式及其在Fischer不等式证明中的应用(An eigenvalue inequality of a class of matrices and its applications in proving the Fischer inequality)

Zhejiang Daxue xuebao. Lixue ban, 2017
The Hadamard inequality and Fischer inequality play an important role in the matrix study. Many articles have addressed these inequalities providing new proofs, noteworthy extensions, generalizations, refinements, counterparts and applications.
ZHANGHuamin(张华民), YINHongcai(殷红彩)   +1 more
doaj   +1 more source

A Resource Efficient Ising Model‐Based Quantum Sudoku Solver

Software: Practice and Experience, EarlyView.
ABSTRACT Background Quantum algorithms exploit superposition and parallelism to address complex combinatorial problems, many of which fall into the non‐polynomial (NP) class. Sudoku, a widely known logic‐based puzzle, is proven to be NP‐complete and thus presents a suitable testbed for exploring quantum optimization approaches.
Wen‐Li Wang, Mei‐Huei Tang, Kevin Wang, Muhammad Abdul Basit, Yuan Tian, Md. Sanaul Haque   +5 more
wiley   +1 more source

Cocyclic Hadamard Matrices and Hadamard Groups Are Equivalent

Journal of Algebra, 1997
It is proved that the existence of cocyclic Hadamard matrices is equivalent to the existence of certain Hadamard groups. A procedure for the construction of Hadamard groups is described.
openaire   +1 more source

Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Graph contrastive learning (GCL) relies on acquiring high‐quality positive and negative samples to learn the structural semantics of the input graph. Previous approaches typically sampled negative samples from the same training batch or an irrelevant external graph.
Haoran Yang, Hongxu Chen, Xiangyu Zhao, Sixiao Zhang, Xiangguo Sun, Qian Li, Hongzhi Yin, Guandong Xu   +7 more
wiley   +1 more source

Partitioning Hadamard vectors into Hadamard matrices

, 2016
We will show that in a space of dimension $m$, any family of $2^{m-1}$ distinct Hadamard vectors (where you can choose x or -x but not both) can be partitioned into Hadamard matrices if and only if $m=2^n$ for some n. We will solve this problem with a simple algorithm for assigning the vectors to the Hadamard matrices.
Casazza, Peter G., Tremain, Janet C.
openaire   +2 more sources

Spatial price competition and buyer power in the U.S. beef packing industry

American Journal of Agricultural Economics, EarlyView.
Abstract We develop a spatially‐explicit model of the U.S. beef packing industry to study key questions related to competition in an oligopsony setting. Cattle supplies are modeled at the county level, and packing plants' location, capacity, and ownership are taken as given. Packers procure negotiated cattle by competing in prices in each local (county)
GianCarlo Moschini, T. Jake Smith
wiley   +1 more source

Tetris Tight Frames Construction via Hadamard Matrices

Abstract and Applied Analysis, 2014
We present a new method to construct unit norm tight frames by applying altered Hadamard matrices. Also we determine an elementary construction which can be used to produce a unit norm frame with prescribed spectrum of frame operator.
A. Abdollahi, M. Monfaredpour
doaj   +1 more source

Bayesian inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley   +1 more source

Jacobi polynomials method for a coupled system of Hadamard fractional Klein–Gordon–Schrödinger equations

Alexandria Engineering Journal
In this work, the Caputo-type Hadamard fractional derivative is utilized to introduce a coupled system of time fractional Klein–Gordon-Schrödinger equations.
M.H. Heydari, M. Razzaghi
doaj   +1 more source