output
20022026
most citedFast unfolding of communities in large networks

21.7k citations

Showing 2021 · quant-phShow all

15 papers · 2 filters

quant-ph2021

Closest approach of a quantum projectile

A Kumar, T Krisnanda, P Arumugam +1

We consider the simplest case of Rutherford scattering, i.e. the head-on collision, where the projectile is treated quantum mechanically. The convexity of repulsive Coulomb force i…

quant-ph2021★ 2 cited

Converting single photons from an InAs/GaAs quantum dot into the ultraviolet: preservation of second-order correlations

Anica Hamer, David Fricker, Marcel Hohn +6

Wavelength conversion at the single-photon level is required to forge a quantum network from distinct quantum devices. Such devices include solid-state emitters of single or entang…

quant-ph2021

Dissipative quantum dynamics, phase transitions and non-Hermitian random matrices

Mahaveer Prasad, Hari Kumar Yadalam, Camille Aron +1

We explore the connections between dissipative quantum phase transitions and non-Hermitian random matrix theory. For this, we work in the framework of the dissipative Dicke model w…

quant-ph2021★ 5 cited

Subdiffusion in wave packets with periodically kicked interactions

Clément Duval, Dominique Delande, Nicolas Cherroret

We study the quantum dynamics of a peculiar driven system, a Bose gas subjected to periodically kicked interactions. In the limit of infinitely short kicks, this system was recentl…

quant-ph2021

Frequency multiplexed entanglement for continuous-variable quantum key distribution

Olena Kovalenko, Young-Sik Ra, Yin Cai +4

Quantum key distribution with continuous variables already uses advantageous high-speed single-mode homodyne detection with low electronic noise at room temperature. Together with…

quant-ph2021★ 2 cited

Quantum evolution kernel : Machine learning on graphs with programmable arrays of qubits

Louis-Paul Henry, Slimane Thabet, Constantin Dalyac +1

The rapid development of reliable Quantum Processing Units (QPU) opens up novel computational opportunities for machine learning. Here, we introduce a procedure for measuring the s…