2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf 2022
DOI: 10.1109/dasc/picom/cbdcom/cy55231.2022.9927770
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Quantum Computing Approach for Energy Optimization in a Prosumer Community

Abstract: The efficient management of energy communities relies on the solution of the "prosumer problem", i.e., the problem of scheduling the household loads on the basis of the user needs, the electricity prices, and the availability of local renewable energy, with the aim of reducing costs and energy waste. Quantum computers can offer a significant breakthrough in treating this problem thanks to the intrinsic parallel nature of quantum operations. The most promising approach is to devise variational hybrid algorithms… Show more

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Cited by 2 publications
(2 citation statements)
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“…We compare the results achieved with QAOA, with a number of repetitions reps between 1 and 5, and with VQE equipped with Ansatz A1. As predicted by the theory, the performance of QAOA improves with more repetitions; however, the improvement is slow, and the number of repetitions must be kept low, since noise and decoherence effects increase with the depth of the circuit, as shown in a previous work, i.e., [36]. These results show that VQE is definitely preferable, due to its ability of reducing the search space, even with the simplest ansatz.…”
Section: A Comparing Qaoa and Vqesupporting
confidence: 63%
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“…We compare the results achieved with QAOA, with a number of repetitions reps between 1 and 5, and with VQE equipped with Ansatz A1. As predicted by the theory, the performance of QAOA improves with more repetitions; however, the improvement is slow, and the number of repetitions must be kept low, since noise and decoherence effects increase with the depth of the circuit, as shown in a previous work, i.e., [36]. These results show that VQE is definitely preferable, due to its ability of reducing the search space, even with the simplest ansatz.…”
Section: A Comparing Qaoa and Vqesupporting
confidence: 63%
“…This procedure has inspired algorithms that can be run on a gate-based quantum computer, such as those provided by major IT companies. As an example, we employed such an approach in a previous work on the optimization of energy exchanges within a prosumer community [36]. The applications of quantum algorithms to edge computing are all very recent.…”
Section: Related Workmentioning
confidence: 99%