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19922026
Showing 2024 · quant-phShow all

13 papers · 2 filters

quant-ph2024★ 152 cited

Advances in quantum imaging

Hugo Defienne, Warwick P. Bowen, Maria Chekhova +5

Modern imaging technologies are widely based on classical principles of light or electromagnetic wave propagation. They can be remarkably sophisticated, with recent successes rangi…

quant-ph2024★ 9 cited

Standalone mobile quantum memory system

Martin Jutisz, Alexander Erl, Janik Wolters +2

We present the implementation and performance analysis of a portable, rack-mounted standalone warm vapor quantum memory system, that also includes the laser package, control electr…

quant-ph2024★ 2 cited

Benchmarking Variational Quantum Algorithms for Combinatorial Optimization in Practice

Tim Schwägerl, Yahui Chai, Tobias Hartung +2

Variational quantum algorithms and, in particular, variants of the varational quantum eigensolver have been proposed to address combinatorial optimization (CO) problems. Using only…

quant-ph2024★ 4 cited

Imaginary Hamiltonian variational ansatz for combinatorial optimization problems

Xiaoyang Wang, Yahui Chai, Xu Feng +3

Obtaining exact solutions to combinatorial optimization problems using classical computing is computationally expensive. The current tenet in the field is that quantum computers ca…

quant-ph2024★ 3 cited

Emergence of second-order coherence in superfluorescence

Constanze Bach, Felix Tebbenjohanns, Christian Liedl +2

We experimentally investigate the second-order quantum coherence function of a superradiant burst in a cascaded quantum system. We chirally (i.e. direction-dependently) couple roug…

quant-ph2024★ 16 cited

Predicting correlations in superradiant emission from a cascaded quantum system

Felix Tebbenjohanns, Christopher D. Mink, Constanze Bach +2

In recent experiments, a novel type of cascaded quantum system has been realized using nanofiber-coupled cold atomic ensembles. This setup has enabled the study of superradiant dec…

quant-ph2024★ 8 cited

Ambiguous Resonances in Multipulse Quantum Sensing with Nitrogen Vacancy Centers

Lucas Tsunaki, Anmol Singh, Kseniia Volkova +4

Dynamical decoupling multipulse sequences can be applied to solid state spins for sensing weak oscillating fields from nearby single nuclear spins. By periodically reversing the pr…

quant-ph2024★ 1 cited

Warm Start of Variational Quantum Algorithms for Quadratic Unconstrained Binary Optimization Problems

Yahui Chai, Karl Jansen, Stefan Kühn +2

Variational Quantum Eigensolver (VQE) is widely used in near-term hardware. However, their performances remain limited by the poor trainability and are dependent on random paramete…

quant-ph2024★ 3 cited

The Influence of Experimental Imperfections on Photonic GHZ State Generation

Fabian Wiesner, Helen M. Chrzanowski, Gregor Pieplow +3

While the advantages of photonic quantum computing, including direct compatibility with communication, are apparent, several imperfections such as loss and distinguishability prese…

quant-ph2024★ 17 cited

Ultrafast phonon-mediated dephasing of color centers in hexagonal boron nitride probed by electron beams

Masoud Taleb, Paul Bittorf, Mximilian Black +7

Defect centers in hexagonal boron nitride have been extensively studied as room temperature single photon sources. The electronic structure of these defects exhibits strong couplin…

quant-ph2024★ 6 cited

Distributed Partial Quantum Consensus of Qubit Networks with Connected Topologies

Xin Jin, Zhu Cao, Yang Tang +1

In this paper, we consider the partial quantum consensus problem of a qubit network in a distributed view. The local quantum operation is designed based on the Hamiltonian by using…

quant-ph2024★ 2 cited

Particle detectors under chronological hazard

Ana Alonso-Serrano, Erickson Tjoa, Luis J. Garay +1

We analyze how the presence of closed timelike curves (CTCs) characterizing a time machine can be discerned by placing a local particle detector in a region of spacetime which is c…

quant-ph2024★ 17 cited

Symmetry breaking in geometric quantum machine learning in the presence of noise

Cenk Tüysüz, Su Yeon Chang, Maria Demidik +3

Geometric quantum machine learning based on equivariant quantum neural networks (EQNN) recently appeared as a promising direction in quantum machine learning. Despite the encouragi…