Quantum Computation with Superconducting Quantum Devices

In the last two decades, the interest in quantum computation has increased significantly among research communities. Quantum computing is the field that investigates the computational power and other properties of computers on the basis of the underlying quantum-mechanical principles. The main purpose is to find quantum algorithms that are significantly faster than any existing classical algorithms solving the same problem. While the quantum computers currently freely available to wider public count no more than two dozens of qubits, and most recently developed quantum devices offer some 50-60 qubits, quantum computer hardware is expected to grow in terms of qubit counts, fault tolerance, and resistance to decoherence. The main objective of this chapter is to present an introduction to the core quantum computing algorithms developed thus far for the field of cryptography.

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Student Support for Quantum Computation With Superconducting Quantum Devices

10.21236/ada430138 ◽

2005 ◽

Author(s):

Terry P. Orlando

Keyword(s):

Quantum Computation ◽

Student Support ◽

Quantum Devices

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Quantum Computation Perspectives in Medical Image Processing

International Journal of Nanotechnology and Molecular Computation ◽

10.4018/978-1-61520-670-4.ch006 ◽

2010 ◽

Vol 2 (2) ◽

pp. 16-46

Author(s):

Pedro Rodrigues ◽

Manuel João Ferreira ◽

João Luís Monteiro

Keyword(s):

Image Processing ◽

Quantum Computation ◽

Computational Methods ◽

Medical Image ◽

Functional Performance ◽

Digital Images ◽

Medical Image Processing ◽

Quantum Devices ◽

Image Processing Techniques ◽

Processing Techniques

The need to increase the complexity of computational methods to produce improvements in functional performance, particularly in medical image processing applications, leads to find suitable physical devices. This chapter describes two ways of adapting the techniques of image processing to quantum devices. This kind of computing can achieve, for some problems, unparalleled performance as compared to classic computing. In the first method, using the quantum Grover’s algorithm how to implement image processing techniques under quantum rules is shown. In the second method, using diffraction and interference, the possibility of using less complex quantum devices for processing digital images is treated. Using leucocytes images, that mode is tested.

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