Applications on quantum computers

Madhusudan Singh Irish Singh, Bharat S. Rawal

Thomas J S Durant, Elizabeth Knight, Brent G. Nelson +6 more

OBJECTIVES: To introduce quantum computing technologies as a tool for biomedical research and highlight future applications within healthcare, focusing on its capabilities, benefits, and limitations. TARGET AUDIENCE: Investigators seeking to explore quantum computing and create quantum-based applications for healthcare and biomedical research. SCOPE: Quantum computing requires specialized hardware, known as quantum processing units, that use quantum bits (qubits) instead of classical bits to perform computations. This article will cover (1) proposed applications where quantum computing offers advantages to classical computing in biomedicine; (2) an introduction to how quantum computers operate, tailored for biomedical researchers; (3) recent progress that has expanded access to quantum computing; and (4) challenges, opportunities, and proposed solutions to integrate quantum computing in biomedical applications.

Dandan Huang, Mei Wang, Jian‐Ping Wang +1 more

In recent years, researchers have paid more attention to the hybrid applications of quantum computing and brain-computer interfaces. With the development of neural technology and artificial intelligence, scientists have become more and more researching brain-computer interface, and the application of brain-computer interface technology to more fields has gradually become the focus of research. While the field of brain-computer interface has evolved rapidly over the past decades, the core technologies and innovative ideas behind seemingly unrelated brain-computer interface systems are rarely summarized from the point of integration with quantum. This paper provides a detailed report on the hybrid applications of quantum computing and brain-computer interface, indicates the current problems, and gives suggestions on the hybrid application research direction.

Jungsang Kim

Dominic Rosch-Grace, Jeremy Straub

This paper discusses the benefits that can be enjoyed from the possible application of quantum computing to the aerospace sector. It discusses these benefits for various tasks and applications such as artificial intelligence, cryptographic key distribution and simulation. The challenge of determining what aerospace application computations will be best allocated to quantum devices is also discussed. The method for best utilizing quantum computing for aerospace applications is considered and the benefits of a grid-based implementation of computational resources are discussed. The grid model of having a collection of network-connected heterogenous devices could be used as a way to make effective use of computational resources. It could be used for the operations and development of simulations as well as machine learning and other software applications. This paper also presents a summary of potential use-cases, as well as a discussion of the work necessary to expedite the process of quantum computing development.

Philip L. Roe