English
Related papers

Related papers: Chiral quantum batteries

200 papers

Bosonic modes provide a promising platform for quantum batteries as a result of their unbounded energy spectrum. However, the energy that can be stored during a coherent charging process is limited due to coherent oscillations between the…

Quantum Physics · Physics 2025-12-01 Donny Dwiputra , Ahmad R. T. Nugraha , Sasfan A. Wella , Freddy Permana Zen

The intriguing many-body phases of quantum matter arise from the interplay of particle interactions, spatial symmetries, and external fields. Generating these phases in an engineered system could provide deeper insight into their nature and…

We propose novel charging protocols for quantum batteries based on quantum superpositions of trajectories. Specifically, we consider that a qubit (the battery) interacts with multiple cavities or a single cavity at various positions, where…

Quantum Physics · Physics 2024-05-13 Po-Rong Lai , Jhen-Dong Lin , Yi-Te Huang , Yueh-Nan Chen

The challenge of storing energy efficiently and sustainably is highly prominent within modern scientific investigations. Due to the ongoing trend of miniaturization, the design of expressly quantum storage devices is itself a crucial task…

Quantum Physics · Physics 2024-04-01 C. A. Downing , M. S. Ukhtary

The advantage of quantum batteries is that quantum resources can be used to improve charging efficiency. The quantum resources that are known to be available are: quantum entanglement and quantum coherence. In this paper, we introduce…

Quantum Physics · Physics 2024-06-11 Dayang Zhang , Shuangquan Ma , Yunxiu Jiang , Youbin Yu , Guangri Jin , Aixi Chen

The collective and quantum behavior of many-body systems may be harnessed to achieve fast charging of energy storage devices, which have been recently dubbed quantum batteries. In this paper, we present an extensive numerical analysis of…

Mesoscale and Nanoscale Physics · Physics 2019-09-20 Davide Rossini , Gian Marcello Andolina , Marco Polini

Quantum batteries are quantum mechanical systems able to store and release energy in a controlled fashion. Among them, a special role is played by quantum structures defined as networks of two-level systems. In this context, it has recently…

Quantum Physics · Physics 2025-11-27 Riccardo Grazi , Dario Ferraro , Niccolò Traverso Ziani

Finding guiding principles to optimize properties of quantum anomalous Hall (QAH) insulators is of pivotal importance to fundamental science and applications. Here, we build a first-principles QAH material database of chirality and band…

Materials Science · Physics 2023-01-18 Zhiming Xu , Wenhui Duan , Yong Xu

Going beyond isolated system dynamics, we examine how local and spatially correlated reservoirs influence the work extraction in quantum batteries. By employing a one-dimensional spin-1/2 model coupled to baths via dephasing and…

Quantum Physics · Physics 2025-09-30 Sejal Ahuja , Tanoy Kanti Konar , Aditi Sen De

We calculate the charge balance function of the bulk quark system before hadronization and those for the directly produced and the final hadron system in high energy heavy ion collisions. We use the covariance coefficient to describe the…

Nuclear Theory · Physics 2015-06-04 Jun Song , Feng-lan Shao , Zuo-tang Liang

The extraction of energy is one of fundamental challenges in realizing quantum batteries (QBs). Here, we propose two wireless transfer schemes with parity-time symmetries to efficiently extract the energy stored in non-Hermitian QBs to…

Quantum Physics · Physics 2025-10-14 Fang-Mei Yang , Fu-Quan Dou

Quantum batteries (QBs) provide a platform for exploring quantum-scale energy storage, yet most existing analyses rely on weak-coupling and Markovian approximations. In realistic implementations operating in strongly coupled non-Markovian…

Quantum Physics · Physics 2026-04-03 Zi-Yi Peng , Shun-Cai Zhao , Liang Luo , Ni-Ya Zhuang

Graphene enables precise carrier-density control via gating, making it an ideal platform for studying electronic interactions. However, sample inhomogeneities often limit access to the low-density regimes where these interactions dominate.…

We investigate a Dicke quantum battery in the dispersive regime, where the photons trapped into a resonant cavity are way more energetic with respect to the two-level systems embedded into it. Under such off-resonant conditions, even an…

We characterize for the first time the performances of IBM quantum chips as quantum batteries, specifically addressing the single-qubit Armonk processor. By exploiting the Pulse access enabled to some of the IBM Quantum processors via the…

Quantum Physics · Physics 2022-06-14 Giulia Gemme , Michele Grossi , Dario Ferraro , Sofia Vallecorsa , Maura Sassetti

Quantum interconnects facilitate entanglement distribution between non-local computational nodes. For superconducting processors, microwave photons are a natural means to mediate this distribution. However, many existing architectures limit…

We perform the quantum yields in a multi-band quantum dot (QD) photocell via doping an intermediate band (IB) between the conduction band (CB) and valence band (VB). Under two different sub-band gap layouts, the output power has a prominent…

Mesoscale and Nanoscale Physics · Physics 2024-02-13 Shun-Cai Zhao , Qi-Xuan Wu

We show how to generate an entangled pair of yttrium iron garnet (YIG) samples in a cavity-magnon system without using any nonlinearities which are typically very weak. This is against the conventional wisdom which necessarily requires…

Quantum Physics · Physics 2020-09-15 Jayakrishnan M. Prabhakarapada Nair , Girish S. Agarwal

We investigate the performance of a one-dimensional dimerized XY chain as a spin quantum battery. Such integrable model shows a rich quantum phase diagram that emerges through a mapping of the spins onto auxiliary fermionic degrees of…

Quantum kernel methods offer significant theoretical benefits by rendering classically inseparable features separable in quantum space. Yet, the practical application of Quantum Machine Learning (QML), currently constrained by the…

Machine Learning · Computer Science 2026-02-03 Philipp Altmann , Maximilian Mansky , Maximilian Zorn , Jonas Stein , Claudia Linnhoff-Popien