output
20062026
most citedA Review on Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano Things (IoNT)

515 citations

Showing quant-phShow all

6 papers · 1 filter

quant-ph2025★ 1 cited

Toward a Scalable Linear-Cavity Enhanced Warm-Vapor Photonic Quantum Memory

Bharath Srivathsan, Rafal Gartman, Robert J. A. Francis-Jones +2

The coherent storage, buffering and retrieval of photons in a quantum memory enables the scalable creation of photonic entangled states via linear optics and repeat-until-success,…

quant-ph2023★ 4 cited

Fast, low-loss all-optical phase modulation in warm rubidium vapour

William Davis, Paul Burdekin, Tabijah Wasawo +4

Low-loss high-speed switches are an integral component of future photonic quantum technologies, with applications in state generation, multiplexing, and the implementation of quant…

quant-ph2023★ 2 cited

Determining the ability for universal quantum computing: Testing controllability via dimensional expressivity

Fernando Gago-Encinas, Tobias Hartung, Daniel M. Reich +2

Operator controllability refers to the ability to implement an arbitrary unitary in SU(N) and is a prerequisite for universal quantum computing. Controllability tests can be used i…

quant-ph2023★ 15 cited

Towards Finding an Optimal Flight Gate Assignment on a Digital Quantum Computer

Yahui Chai, Lena Funcke, Tobias Hartung +4

We investigate the performance of the variational quantum eigensolver (VQE) for the optimal flight gate assignment problem. This problem is a combinatorial optimization problem tha…

quant-ph2023★ 14 cited

Critical behavior of Ising model by preparing thermal state on quantum computer

Xiaoyang Wang, Xu Feng, Tobias Hartung +2

We simulate the critical behavior of the Ising model utilizing a thermal state prepared using quantum computing techniques. The preparation of the thermal state is based on the var…

quant-ph2022★ 20 cited

Classical Splitting of Parametrized Quantum Circuits

Cenk Tüysüz, Giuseppe Clemente, Arianna Crippa +3

Barren plateaus appear to be a major obstacle to using variational quantum algorithms to simulate large-scale quantum systems or replace traditional machine learning algorithms. Th…