Spintronics based Quantum Computing Architecture
The classical computing follows the laws of physics until the size of transistors reaches the size of atom. It is predicted that by 2030, the classical bits would be reduced to the size of an atom, and it would be difficult for the Moore’s law to continue further. Therefore, it is necessary to accomplish the computing at atomic size that follows non-classical physics called quantum mechanics. A quantum computer does the computations based on the quantum mechanics. Moreover, quantum computers guarantee faster speed and higher security than classical computers and have the ability to store large amount of information. Quantum computers (QC) rely on quantum principles i.e., superposition and entanglement. Quantum computers stores information in the form of qubits. The polynomial time problems for which no solution exists on any classical machine, can be solved by quantum computer. The realization of Boolean logic gates can be analogous to the computation by a specific pair of two-qubit quantum gates through their interactions.
There are various ways to explore the physical realization of the quantum computation. Spintronics is one of the most adequate ways to physically realize QC due to the electron spin cab be comparable to the qubit. Spintronics is a branch of physics which deals with the manipulation, storage, and transfer of information with the aid of electron’s spin in extension to or in place of the electron charge. Moreover, intensive research is going on to create new ways of spintronics based QC by utilizing electron spin as qubit. This talk will deal with fundamental of spintronics and exploration of spin-torque based on-chip qubit architecture that pave the way for further research in spintronics based physical realization of quantum computer.
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- Department of Electronics and Telecommunications, Politecnico di Torino
- Corso Duca degli Abruzzi 24
- Torino, Piemonte
- Italy 10129
- Building: Cittadella Politecnica
- Room Number: Nyquist meeting room
Speakers
prof. Brajesh Kumar Kaushik of Indian Institute of Technology Roorkee
Spintronics based Quantum Computing Architecture
The classical computing follows the laws of physics until the size of transistors reaches the size of atom. It is predicted that by 2030, the classical bits would be reduced to the size of an atom, and it would be difficult for the Moore’s law to continue further. Therefore, it is necessary to accomplish the computing at atomic size that follows non-classical physics called quantum mechanics. A quantum computer does the computations based on the quantum mechanics. Moreover, quantum computers guarantee faster speed and higher security than classical computers and have the ability to store large amount of information. Quantum computers (QC) rely on quantum principles i.e., superposition and entanglement. Quantum computers stores information in the form of qubits. The polynomial time problems for which no solution exists on any classical machine, can be solved by quantum computer. The realization of Boolean logic gates can be analogous to the computation by a specific pair of two-qubit quantum gates through their interactions.
There are various ways to explore the physical realization of the quantum computation. Spintronics is one of the most adequate ways to physically realize QC due to the electron spin cab be comparable to the qubit. Spintronics is a branch of physics which deals with the manipulation, storage, and transfer of information with the aid of electron’s spin in extension to or in place of the electron charge. Moreover, intensive research is going on to create new ways of spintronics based QC by utilizing electron spin as qubit. This talk will deal with fundamental of spintronics and exploration of spin-torque based on-chip qubit architecture that pave the way for further research in spintronics based physical realization of quantum computer.
Biography:
Brajesh Kumar Kaushik is currently serving as full Professor at IIT-Roorkee. He had been Visiting Professor at TU-Dortmund, Germany in 2017; McGill University, Canada in 2018 and Liaocheng University, China in 2018. He is Visiting Lecturer of SPIE and Distinguished Lecturer of IEEE Electron Devices. He is Editor-in-Chief of Elsevier Journal, Memories-Materials, Devices, Circuits and Systems; an Editor of IEEE Transactions on Electron Devices; Associate Editor of IEEE Sensors Journal; Associate Editor of IET Circuits, Devices & Systems; Editor of Microelectronics Journal, Elsevier; and Editorial Board member of Circuit World, Emerald. He is among top 2% scientists in world as per Stanford University report of 2019 and 2021. He has been offered with fellowships from DAAD, Shastri Indo Canadian Institute (SICI), ASEM Duo, United States-India Educational Foundation (Fulbright-Nehru Academic and Professional Excellence). His research interests are in the areas of high-speed interconnects, optics & photonics-based devices, image processing, spintronics-based devices, circuits, and computing.
Email:
Address:Department of Electronics and Communication, Indian Institute of Technology Roorkee, Roorkee, India