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Advancements in Battery Technology: Quantum Computing Perspectives
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Author(s): J. Suresh (Ramachandra College of Engineering, India), R. V. V. Krishna (Aditya College of Engineering and Technology, Jawaharlal Nehru Technological University, Kakinada, India), V. Satyanarayana (Aditya College of Engineering and Technology, Jawaharlal Nehru Technological University, Kakinada, India)and P. S. Ranjit (Aditya College of Engineering and Technology, Jawaharlal Nehru Technological University, Kakinada, India)
Copyright: 2024
Pages: 16
Source title:
Real-World Challenges in Quantum Electronics and Machine Computing
Source Author(s)/Editor(s): Christo Ananth (Samarkand State University, Uzbekistan), T. Ananth Kumar (IFET College of Engineering, India)and Osamah Ibrahim Khalaf (Al-Nahrain University, Iraq)
DOI: 10.4018/979-8-3693-4001-1.ch002
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Abstract
The main focus of this chapter is on the Armonk single-qubit processor, and the authors give a full account of what IBM's quantum chips can do, specifically as quantum batteries. The goal is to find the best balance between charging time and stored energy by using the Pulse functionality offered by some IBM Quantum processors through the Qiskit package. To do this, the authors look at the pros and cons of several common drive profiles used to charge these small batteries. They also look at how different starting factors can change how quantum batteries work. This research shows that the mistakes that happen naturally at the start of qubit activation don't have a big impact on how energy is sent or stored. On the other hand, these effects may slow down apps that use quantum computing. Interestingly, this could make things run more smoothly. This is strong proof that IBM's quantum devices meet the requirements to be called stable quantum batteries, similar to the cutting-edge devices that were just published in scientific journals.
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