The Promise and Challenges of Quantum Computing for Energy Storage

K. Nalini Murtaja Dr. Stuti Singh

Xander Heinen, Hao Chen

Quantum computing holds promise for addressing previously unsolvable problems, particularly within complex energy systems driven by big data. This research employs a semi-systematic literature analysis to identify and categorise popular quantum algorithms with potential applications in these systems. The algorithms are divided into two main groups: quantum chemical simulation algorithms and quantum optimisation algorithms. Quantum chemical simulations can model molecules, facilitating the discovery of advanced materials and technologies for complex energy systems. Meanwhile, quantum optimisation algorithms aim to enhance energy production efficiency by optimising the grid's energy flow and smart energy storage. A significant challenge across all algorithms is the current hardware limitations, as they require more processing power than is presently available. Additionally, these algorithms necessitate precise initial parameter settings, necessitating accurate representation of real-world scenarios. Overcoming these challenges could enable quantum computing to enhance the efficiency and effectiveness of complex energy systems significantly.

Jincheng Zhang

Quantum information storage represents a significant challenge in the field of quantum computing due to the fragility of quantum states and the need for robust storage protocols. This paper introduces a novel quantum information storage scheme predicated on dynamic topology, aiming to enhance the efficiency and reliability of quantum information storage. We detail the core mechanism involving the construction of a quantum state within a dynamically evolving topology, leveraging the inherent robustness and adaptability of this topology to mitigate decoherence and enhance storage fidelity. The proposed approach offers a promising alternative to traditional static approaches, potentially unlocking new possibilities in quantum information processing.

Akshay Ajagekar, Fengqi You

Obafemi O. Olatunji, Paul Adeola Adedeji, Nkosinathi Madushele

Asadullah Khalid, Shahid Tufail, Arif I. Sarwat

Quantum Computing technology is currently prevailing as a promising candidate for expanding the research horizons in the areas of power engineering and transportation. An across-the-board view of this technology identifies that the intersecting research of interest which covers both areas is the identification of innovative energy storage technologies. Quantum Computers (QC) provide the capability to develop an innovative energy storage system, but its operating principles encompass the domains of Quantum Physics (QP) and Quantum Mechanics (QM) and thus limit the understanding of its underlying functionality. The applicable storage system under research using QC, termed Quantum Battery (QB) is considered to be a theoretical construct, which means that it is not directly observable. This paper attempts to piece together the QM and its applications in a QC, directed towards the identification of an innovative QB, by providing a review of the existing researches. Also, the explanations of various postulates and their corresponding formulations leading to the QM framework behind a QB is presented. This is followed by a review of the underlying operation of a QC and its application in performing battery research. A summary of the existing QB researches is also presented which are categorized into particle- and chemistry-driven (quantum) battery researches.