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19932026
most citedQuantum Computation with Quantum Dots

6.9k citations

Showing 2023Show all

134 papers · 1 filter

cond-mat.mes-hall2023★ 52 cited

Nanoscale magnetism and magnetic phase transitions in atomically thin CrSBr

Märta A. Tschudin, David A. Broadway, Patrick Reiser +13

Since their first observation in 2017, atomically thin van der Waals (vdW) magnets have attracted significant fundamental, and application-driven attention. However, their low orde…

cond-mat.mes-hall2023★ 27 cited

Roadmap on Nanoscale Magnetic Resonance Imaging

Raffi Budakian, Amit Finkler, Alexander Eichler +22

The field of nanoscale magnetic resonance imaging (NanoMRI) was started 30 years ago. It was motivated by the desire to image single molecules and molecular assemblies, such as pro…

cond-mat.mtrl-sci2023★ 9 cited

Microscale stress-geometry interactions in an additively manufactured NiTi cardiovascular stent: A synchrotron dual imaging tomography and diffraction study

Himanshu Vashishtha, Parastoo Jamshidi, Anastasia Vrettou +8

This study explores cardiovascular stents fabricated using laser powder bed fusion (LPBF); an emerging method to offer patient-specific customisable parts. Here, the shape memory a…

cs.DC2023★ 9 cited

Accurate Measurement of Application-level Energy Consumption for Energy-Aware Large-Scale Simulations

Osman Seckin Simsek, Jean-Guillaume Piccinali, Florina M. Ciorba

Sustainability in high performance computing (HPC) is a major challenge not only for HPC centers and their users, but also for society as the climate goals become stricter. A lot o…

cond-mat.mtrl-sci2023★ 12 cited

Scaling of Hybrid QDs-Graphene Photodetectors to Subwavelength Dimension

Gökhan Kara, Patrik Rohner, Erfu Wu +6

Emerging colloidal quantum dot (cQD) photodetectors currently challenge established state-of-the-art infrared photodetectors in response speed, spectral tunability, simplicity of s…

cond-mat.str-el2023★ 3 cited

Microscopic Mechanism of Pair-, Charge- and Spin-Density-Wave Instabilities in Interacting D-Dimensional Fermi Liquids

Dmitry Miserev, Herbert Schoeller, Jelena Klinovaja +1

We present an analytic theory unraveling the microscopic mechanism of instabilities within interacting -dimensional Fermi liquid. Our model consists of a -dimensional electro…

cs.CV2023★ 8 cited

3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs

Taha Emre, Arunava Chakravarty, Antoine Rivail +10

Self-supervised learning (SSL) has emerged as a powerful technique for improving the efficiency and effectiveness of deep learning models. Contrastive methods are a prominent famil…

cond-mat.mes-hall2023★ 59 cited

Doping-control of excitons and magnetism in few-layer CrSBr

Farsane Tabataba-Vakili, Huy P. G. Nguyen, Anna Rupp +9

Magnetism in two-dimensional materials reveals phenomena distinct from bulk magnetic crystals, with sensitivity to charge doping and electric fields in monolayer and bilayer van de…

cs.DL2023★ 40 cited

Recording provenance of workflow runs with RO-Crate

Simone Leo, Michael R. Crusoe, Laura Rodríguez-Navas +15

Recording the provenance of scientific computation results is key to the support of traceability, reproducibility and quality assessment of data products. Several data models have…

math-ph2023

Derivation of Vlasov equations for multi-species fermions

Hongshuo Chen, Li Chen, Jinyeop Lee +1

We explore a system of two-species fermions with particles. Through this exploration, we establish a two-species Husimi measure and construct a two-species Bogoliubov-Born-Gree…

quant-ph2023★ 22 cited

Provable bounds for noise-free expectation values computed from noisy samples

Samantha V. Barron, Daniel J. Egger, Elijah Pelofske +4

In this paper, we explore the impact of noise on quantum computing, particularly focusing on the challenges when sampling bit strings from noisy quantum computers as well as the im…

cond-mat.mes-hall2023★ 20 cited

High-fidelity spin qubit shuttling via large spin-orbit interaction

Stefano Bosco, Ji Zou, Daniel Loss

Shuttling spins with high fidelity is a key requirement to scale up semiconducting quantum computers, enabling qubit entanglement over large distances and favoring the integration…

physics.atom-ph2023★ 40 cited

Cold trapped molecular ions and hybrid platforms for ions and neutral particles

Markus Deiß, Stefan Willitsch, Johannes Hecker Denschlag

We review recent progress in the field of cold trapped molecular ions. A new generation of collision and cold chemistry experiments between atoms and ions has emerged, where cold a…

cond-mat.mes-hall2023★ 19 cited

Visualizing thickness-dependent magnetic textures in few-layer

Andriani Vervelaki, Kousik Bagani, Daniel Jetter +6

Magnetic ordering in two-dimensional (2D) materials has recently emerged as a promising platform for data storage, computing, and sensing. To advance these developments, it is vita…

hep-ph2023★ 26 cited

Functional Matching and Renormalization Group Equations at Two-Loop Order

Javier Fuentes-Martín, Ajdin Palavrić, Anders Eller Thomsen

We present a systematic method for determining the two-loop effective Lagrangian resulting from integrating out a set of heavy particles in an ultraviolet scalar theory. We prove t…

math.AG2023★ 1 cited

Maximal subgroups in the Cremona group

Andrea Fanelli, Enrica Floris, Susanna Zimmermann

We show that for any there exist connected algebraic subgroups in the Cremona group that are not contained in any maximal connected algebraic…

cond-mat.mes-hall2023★ 3 cited

Topological transport of vorticity on curved magnetic membranes

Chau Dao, Ji Zou, Eric Kleinherbers +1

In this work, we study the transport of vorticity on curved dynamical two-dimensional magnetic membranes. We find that topological transport can be controlled by geometrically redu…

cond-mat.str-el2023★ 13 cited

Long-range entanglement and topological excitations

Gianpaolo Torre, Jovan Odavić, Pierre Fromholz +2

Topological order comes in different forms, and its classification and detection is an important field of modern research. In this work, we show that the Disconnected Entanglement…

cond-mat.mes-hall2023★ 28 cited

A singlet-triplet hole-spin qubit in MOS silicon

S. D. Liles, D. J. Halverson, Z. Wang +14

Holes in silicon quantum dots are promising for spin qubit applications due to the strong intrinsic spin-orbit coupling. The spin-orbit coupling produces complex hole-spin dynamics…

cond-mat.str-el2023★ 4 cited

Spin susceptibility in interacting two-dimensional semiconductors and bilayer systems at first order: Kohn anomalies and spin density wave ordering

Joel Hutchinson, Dmitry Miserev, Jelena Klinovaja +1

This work is an analytic theoretical study of a 2D semiconductor with a Fermi surface that is split by the Zeeman coupling of electron spins to an external magnetic field in the pr…

quant-ph2023★ 24 cited

Strong hole-photon coupling in planar Ge for probing charge degree and strongly-correlated states

Franco De Palma, Fabian Oppliger, Wonjin Jang +7

Semiconductor quantum dots (QDs) in planar germanium (Ge) heterostructures have emerged as front-runners for future hole-based quantum processors. Here, we present strong coupling…

cond-mat.supr-con2023★ 4 cited

Gate-tunable topological superconductivity in a supramolecular electron spin lattice

Rémy Pawlak, Jung-Ching Liu, Chao Li +13

Topological superconductivity emerges in chains or arrays of magnetic atoms coupled to a superconductor. However, the external controllability of such systems with gate voltages is…

cond-mat.mes-hall2023★ 10 cited

Quantum phase transitions and cat states in cavity-coupled quantum dots

Valerii K. Kozin, Dmitry Miserev, Daniel Loss +1

We study double quantum dots coupled to a quasistatic cavity mode with high mode-volume compression allowing for strong light-matter coupling. Besides the cavity-mediated interacti…

stat.ME2023★ 4 cited

Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian Process Models

Pascal Kündig, Fabio Sigrist

Latent Gaussian process (GP) models are flexible probabilistic non-parametric function models. Vecchia approximations are accurate approximations for GPs to overcome computational…