View source for NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY (20240348250). QUANTUM CIRCUIT, QUANTUM COMPUTING ELEMENT, QUANTUM COMPUTING SYSTEM, AND QUANTUM COMPUTING METHOD simplified abstract

=QUANTUM CIRCUIT, QUANTUM COMPUTING ELEMENT, QUANTUM COMPUTING SYSTEM, AND QUANTUM COMPUTING METHOD=


==Organization Name==

[[:Category:NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY|NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY]]


[[Category:NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY]]

==Inventor(s)==

[[:Category:Daisuke Saida of Tsukuba-shi (JP)|Daisuke Saida of Tsukuba-shi (JP)]][[Category:Daisuke Saida of Tsukuba-shi (JP)]]

==QUANTUM CIRCUIT, QUANTUM COMPUTING ELEMENT, QUANTUM COMPUTING SYSTEM, AND QUANTUM COMPUTING METHOD - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240348250 titled 'QUANTUM CIRCUIT, QUANTUM COMPUTING ELEMENT, QUANTUM COMPUTING SYSTEM, AND QUANTUM COMPUTING METHOD

'''Simplified Explanation:'''
The patent application describes a quantum circuit for physical reservoir computing with high learning efficiency, utilizing superconducting lines to form quantum bits that interact with each other.

'''Key Features and Innovation:'''
* Utilizes superconducting lines to form quantum bits that interact electromagnetically.
* Includes lines that are electromagnetically coupled to the superconducting lines.
* Readout circuits are electromagnetically coupled to the superconducting lines for outputting readout signals based on the quantum bit states.

'''Potential Applications:'''
This technology could be applied in quantum computing, machine learning, artificial intelligence, and data processing.

'''Problems Solved:'''
* Enables physical reservoir computing with high learning efficiency.
* Enhances quantum computing capabilities.
* Improves data processing speed and accuracy.

'''Benefits:'''
* High learning efficiency in physical reservoir computing.
* Enhanced quantum computing performance.
* Faster and more accurate data processing.

'''Commercial Applications:'''
Potential commercial applications include quantum computing services, machine learning platforms, data analysis software, and AI development tools.

'''Prior Art:'''
Readers can explore prior research on superconducting quantum circuits, physical reservoir computing, and quantum computing technologies.

'''Frequently Updated Research:'''
Stay updated on advancements in superconducting quantum circuits, quantum computing algorithms, and machine learning techniques for quantum systems.

'''Questions about Quantum Circuit Technology:'''
1. What are the key advantages of using superconducting lines in quantum circuits?
2. How does physical reservoir computing differ from traditional computing methods?


==Original Abstract Submitted==

provided is a quantum circuit, a quantum computing element, a quantum computing system, and a quantum computing method with which physical reservoir computing with high learning efficiency becomes possible. a quantum circuit  includes a plurality of superconducting lines  that form quantum bits in accordance with an electromagnetic state thereof, and that interact with each other, a plurality of lines l, l, l, l that are electromagnetically coupled, respectively, to the plurality of superconducting lines , a plurality of lines l, l, l, l that are electromagnetically coupled, respectively, to the plurality of superconducting lines , and a plurality of readout circuits r, r, r, r that are electromagnetically coupled, respectively, to the plurality of superconducting lines, wherein each first line is configured to be capable of receiving an input signal individually, and each readout circuit is configured to be capable of outputting a readout signal based on the state of the quantum bits of the corresponding superconducting line.



[[Category:H03K17/92]]
[[Category:G06N10/20]]
[[Category:G06N10/40]]
[[Category:CPC_H03K17/92]]