output
20172026
most citedSegment Anything in Medical Images

2.8k citations

Showing 2023 · quant-phShow all

10 papers · 2 filters

quant-ph2023★ 11 cited

Further improving quantum algorithms for nonlinear differential equations via higher-order methods and rescaling

Pedro C. S. Costa, Philipp Schleich, Mauro E. S. Morales +1

The solution of large systems of nonlinear differential equations is needed for many applications in science and engineering. In this study, we present three main improvements to e…

quant-ph2023★ 78 cited

Does provable absence of barren plateaus imply classical simulability?

M. Cerezo, Martin Larocca, Diego García-Martín +9

A large amount of effort has recently been put into understanding the barren plateau phenomenon. In this perspective article, we face the increasingly loud elephant in the room and…

quant-ph2023★ 28 cited

Classification of dynamical Lie algebras for translation-invariant 2-local spin systems in one dimension

Roeland Wiersema, Efekan Kökcü, Alexander F. Kemper +1

Much is understood about 1-dimensional spin chains in terms of entanglement properties, physical phases, and integrability. However, the Lie algebraic properties of the Hamiltonian…

quant-ph2023★ 3 cited

One-half reflected entropy is not a lower bound for entanglement of purification

Josiah Couch, Phuc Nguyen, Sarah Racz +2

In recent work, Akers et al. proved that the entanglement of purification is bounded below by half of the -Rényi reflected entropy for all ,…

quant-ph2023★ 4 cited

Sequential quantum simulation of spin chains with a single circuit QED device

Yuxuan Zhang, Shahin Jahanbani, Ameya Riswadkar +2

Quantum simulation of many-body systems in materials science and chemistry are promising application areas for quantum computers. However, the limited scale and coherence of near-t…

quant-ph2023★ 39 cited

A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models

Mohamed Hibat-Allah, Marta Mauri, Juan Carrasquilla +1

Generative modeling has seen a rising interest in both classical and quantum machine learning, and it represents a promising candidate to obtain a practical quantum advantage in th…