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19942026
most citedVariational Quantum Algorithms

3.3k citations

Showing 2020Show all

68 papers · 1 filter

eess.SP2020★ 49 cited

Laser Phase Noise Tolerance of Uniform and Probabilistically-shaped QAM Signals for High Spectral Efficiency Systems

Takeo Sasai, Asuka Matsushita, Masanori Nakamura +3

We numerically and experimentally investigate the laser phase noise tolerance of probabilistically shaped (PS) and uniformly shaped (US) quadrature amplitude modulation (QAM) signa…

eess.SP2020★ 26 cited

Wiener-Hammerstein model and its learning for nonlinear digital pre-distortion of optical transmitters

Takeo Sasai, Masanori Nakamura, Etsushi Yamazaki +4

We present a simple nonlinear digital pre-distortion (DPD) of optical transmitter components, which consists of concatenated blocks of a finite impulse response (FIR) filter, a mem…

cs.NI2020★ 2 cited

Millimeter Wave Communications on Overhead Messenger Wire: Deep Reinforcement Learning-Based Predictive Beam Tracking

Yusuke Koda, Masao Shinzaki, Koji Yamamoto +5

This paper discusses the feasibility of beam tracking against dynamics in millimeter wave (mmWave) nodes placed on overhead messenger wires, including wind-forced perturbations and…

math-ph2020★ 9 cited

The heat kernel of the asymmetric quantum Rabi model

Cid Reyes-Bustos

In this paper we derive an explicit formula for the heat kernel of the asymmetric quantum Rabi model (AQRM), a symmetry breaking generalization of the quantum Rabi model (QRM). The…

quant-ph2020★ 22 cited

Larger Sparse Quadratic Assignment Problem Optimization Using Quantum Annealing and a Bit-Flip Heuristic Algorithm

Michiya Kuramata, Ryota Katsuki, Kazuhide Nakata

Quantum annealing and D-Wave quantum annealer attracted considerable attention for their ability to solve combinatorial optimization problems. In order to solve other type of optim…

quant-ph2020★ 3.3k cited

Variational Quantum Algorithms

M. Cerezo, Andrew Arrasmith, Ryan Babbush +8

Applications such as simulating complicated quantum systems or solving large-scale linear algebra problems are very challenging for classical computers due to the extremely high co…