Data analysis meets quantum physics

Claudio Conti

Yujiang Bi, Lu Wang, Wei Sun +1 more

With the dramatic growth of experimental data in high-energy physics and the increasing demand for accuracy of physical analysis results, the current classical computing model and computing power can no longer meet the needs of data processing and analysis. As a new computing device with great potential, quantum computers have become one of the possible ways to solve the bottleneck of high-energy physics data processing and computation, though quantum computers are still far away from general computing. At such a stage that quantum computers have so many shortcomings like few physical qubits, short coherent time, and poor fidelity to solve most of practical problems, it's necessary to build a development and simulation platform using classical computers to accelerate research on quantum algorithms and applications. We've set up an interactive development platform for quantum algorithms research and quantum computing simulation, and are preparing one web portal for public education and training on quantum computing. In the future, we will pay more attention to quantum computing applications in HEP and QCD simulation.

Konstantinos Tziridis, Τheofanis Kalampokas, George A. Papakostas

Nowadays, image analysis constitutes a key function of modern smart devices and computer applications. In recent years, image analysis has made significant progress due to the availability of a large volume of data as well as due to the development and promotion of deep learning. GPU graphics cards, as well as big data analysis frameworks (e.g. MapReduce and Spark), mainly meets the computing needs of modern image analysis applications. In this context, recently, quantum computing has emerged as an alternative that can meet the increasing computing needs. This chapter explores the degree of penetration of quantum computing into the field of image analysis, through the recording, editing, and presentation of publications made by the scientific community. The purpose of this chapter is not only to capture the current situation in the field of quantum image analysis (QIA) but also to raise open issues that pose challenges for further research in this research field. This chapter will be a useful guide to the early-stage researchers working in the field of quantum computing, providing the information gathered in a comprehensive and structured way.

Dipak Shankar Raskar, Rajiv Iyer, Vedprakash Chandrakant Maralapalle

van Fa Frank Abeelen, B. Verhaar

abstract only of the DAMOP Meeting 1998

Arpita Maitra, Subhamoy Maitra, Asim K. Pal