8 papers
Grover's algorithm for image edge detection
Pulak Ranjan Giri, Kazuhiro Saito
Grover's algorithm is one of the most significant quantum algorithms, enabling the search for a marked element in an unsorted database quadratically faster than classical search al…
Performance Comparison of QAOA Mixers for Ternary Portfolio Optimization
Shintaro Yamamura, Satoshi Watanabe, Masaya Kunimi +2
The Quantum Approximate Optimization Algorithm (QAOA) is a quantum algorithm proposed for Noisy Intermediate-Scale Quantum (NISQ) devices and is regarded as a promising approach to…
Quantum walk search based edge detection of images
Pulak Ranjan Giri, Rei Sato, Kazuhiro Saito
Quantum walk has emerged as an essential tool for searching marked vertices on various graphs. Recent advances in the discrete-time quantum walk search algorithm have enabled it to…
Fast variational knowledge graph embedding
Pulak Ranjan Giri, Mori Kurokawa, Kazuhiro Saito
Embedding of a knowledge graph(KG) entities and relations in the form of vectors is an important aspect for the manipulation of the KG database for several downstream tasks, such a…
Two-Step Quantum Search Algorithm for Solving Traveling Salesman Problems
Rei Sato, Gordon Cui, Kazuhiro Saito +3
Quantum search algorithms, such as Grover's algorithm, are anticipated to efficiently solve constrained combinatorial optimization problems. However, applying these algorithms to t…
Quantum negative sampling strategy for knowledge graph embedding with variational circuit
Pulak Ranjan Giri, Mori Kurokawa, Kazuhiro Saito
Knowledge graph is a collection of facts, known as triples(head, relation, tail), which are represented in form of a network, where nodes are entities and edges are relations among…