Cover Image

Distributed quantum machine learning via classical communication

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hwang, Kiwmann, Lim, Hyang-Tag, Kim, Yong-Su, Park, Daniel K., Kim, Yosep
Format:	Preprint
Published:	2024
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The power of entanglement in distributed quantum machine learning
by: Kim, Yerim, et al.
Published: (2026)

Robust and bright polarization-entangled photon sources exploiting non-critical phase matching without periodic poling
by: Kim, Ilhwan, et al.
Published: (2024)

Contextuality of quantum non-demolition measurement via state discrimination
by: Namkung, Min, et al.
Published: (2026)

Nondestructive discrimination of Bell states between distant parties
by: Bilash, Bohdan, et al.
Published: (2023)

Implementation of CU gates and its application in a remote-controlled quantum operation
by: Kim, Byungjoo, et al.
Published: (2024)

Distributed quantum sensing with multi-mode $N00N$ states
by: Kim, Dong-Hyun, et al.
Published: (2025)

Entanglement swapping via lossy channels using photon-number-encoded states
by: Zo, Wan, et al.
Published: (2024)

Contextuality-enhanced quantum state discrimination under fixed failure probability
by: Namkung, Min, et al.
Published: (2026)

Universal Operational Privacy in Distributed Quantum Sensing
by: Namkung, Min, et al.
Published: (2026)

Photonic variational quantum eigensolver using entanglement measurements
by: Lee, Jinil, et al.
Published: (2024)

Unified strategy for non-invertible Fisher information matrix in quantum metrology
by: Namkung, Min, et al.
Published: (2024)

Photonic variational quantum eigensolver for NISQ-compatible quantum technology
by: Hu, Kang-Min, et al.
Published: (2025)

Entanglement recovery by reversing the effect of noise in quantum repeater
by: Jeong, Sewon, et al.
Published: (2026)

Persistent quantum advantage with definite photon-number states in lossy multiple-phase estimation
by: Namkung, Min, et al.
Published: (2024)

Optimal multiple-phase estimation with multi-mode NOON states against photon loss
by: Namkung, Min, et al.
Published: (2024)

Efficient direct quantum state tomography using fan-out couplings
by: Chang, Jaekwon, et al.
Published: (2026)

Experimental demonstration of optimal measurement for unambiguously discriminating asymmetric qudit states
by: Hu, Kang-Min, et al.
Published: (2026)

Parallel hybrid quantum-classical machine learning for kernelized time-series classification
by: Baker, Jack S., et al.
Published: (2023)

Factorizability of multi-party quantum sequence discrimination under local operations and classical communication
by: Ha, Donghoon, et al.
Published: (2025)

Scalable quantum dynamics compilation via quantum machine learning
by: Zhang, Yuxuan, et al.
Published: (2024)

Qiboml: towards the orchestration of quantum-classical machine learning
by: Robbiati, Matteo, et al.
Published: (2025)

Sample- and Hardware-Efficient Fidelity Estimation by Stripping Phase-Dominated Magic
by: Park, Guedong, et al.
Published: (2026)

Variational quantum state discriminator for supervised machine learning
by: Lee, Dongkeun, et al.
Published: (2023)

Synchronization of quantum communication over an optical classical communication channel
by: Berra, Federico, et al.
Published: (2023)

Coarse-grained quantum state tomography with optimal POVM construction
by: Jung, Donghun, et al.
Published: (2024)

Sufficient conditions for additivity of the zero-error classical capacity of quantum channels
by: Park, Jeonghoon, et al.
Published: (2026)

Black hole/quantum machine learning correspondence
by: Lee, Jae-Weon, et al.
Published: (2025)

Hybrid classical-quantum communication networks
by: Lukens, Joseph M., et al.
Published: (2025)

Combining quantum processors with real-time classical communication
by: Vazquez, Almudena Carrera, et al.
Published: (2024)

Quantum inference on a classically trained quantum extreme learning machine
by: Brusaschi, Emanuele, et al.
Published: (2026)

A rigorous hybridization of variational quantum eigensolver and classical neural network
by: Kim, Minwoo, et al.
Published: (2026)

A general learning scheme for classical and quantum Ising machines
by: Schmid, Ludwig, et al.
Published: (2023)

Quantum and classical processing with photonic quantum machine learning
by: Carreño, J. C. López, et al.
Published: (2026)

Train on classical, deploy on quantum: scaling generative quantum machine learning to a thousand qubits
by: Recio-Armengol, Erik, et al.
Published: (2025)

A quantum-classical co-processing protocol towards simulating nuclear reactions on contemporary quantum hardware
by: Turro, Francesco, et al.
Published: (2023)

No quantum advantage without classical communication: fundamental limitations of quantum networks
by: Neumann, Justus, et al.
Published: (2025)

Universal replication of chaotic characteristics by classical and quantum machine learning
by: Bai, Sheng-Chen, et al.
Published: (2024)

Heralded optical entanglement distribution via lossy quantum channels: A comparative study
by: Zo, Wan, et al.
Published: (2024)

Reducing classical communication costs in multiplexed quantum repeaters using hardware-aware quasi-local policies
by: Haldar, Stav, et al.
Published: (2024)

Extendible quantum measurements and limitations on classical communication
by: Singh, Vishal, et al.
Published: (2024)