The quantum internet: A synergy of quantum information technologies and 6G networks
The quantum internet is a cutting‐edge paradigm that uses the unique characteristics of
quantum technology to radically alter communication networks. This new network type is …
quantum technology to radically alter communication networks. This new network type is …
Maximum-likelihood detection with QAOA for massive MIMO and Sherrington-Kirkpatrick model with local field at infinite size
B Gulbahar - IEEE Transactions on Wireless Communications, 2024 - ieeexplore.ieee.org
Quantum-approximate optimization algorithm (QAOA) is promising in Noisy Intermediate-
Scale Quantum (NISQ) computers with applications for NP-hard combinatorial optimization …
Scale Quantum (NISQ) computers with applications for NP-hard combinatorial optimization …
Quantum feature extraction for THz multi-layer imaging
T Koike-Akino, P Wang, G Yamashita… - … Waves (IRMMW-THz …, 2022 - ieeexplore.ieee.org
A learning-based THz multi-layer imaging has been recently used for contactless three-
dimensional (3D) positioning and encoding. We show a proof-of-concept demonstration of …
dimensional (3D) positioning and encoding. We show a proof-of-concept demonstration of …
quEEGNet: Quantum AI for Biosignal Processing
T Koike-Akino, Y Wang - 2022 IEEE-EMBS International …, 2022 - ieeexplore.ieee.org
In this paper, we introduce an emerging quantum machine learning (QML) framework to
assist classical deep learning methods for biosignal processing applications. Specifically …
assist classical deep learning methods for biosignal processing applications. Specifically …
Short block-length channel coded modulation with random linear codes and QAOA decoding
B Gulbahar - Authorea Preprints, 2023 - techrxiv.org
Quantum approximate optimization algorithm (QAOA) is used for NP-hard problems on noisy
intermediate-scale quantum (NISQ) devices. We demonstrate QAOA's near-optimum …
intermediate-scale quantum (NISQ) devices. We demonstrate QAOA's near-optimum …
Majority Voting with Recursive QAOA and Cost-restricted Uniform Sampling for Maximum-Likelihood Detection in Massive MIMO
B Gulbahar - 2024 - techrxiv.org
Quantum-approximate optimization algorithm (QAOA) with layer depth p is promising near-
optimum performance and low complexity for NP-hard maximum-likelihood (ML) detection in …
optimum performance and low complexity for NP-hard maximum-likelihood (ML) detection in …