Cover Image

Neural Quantum Embedding: Pushing the Limits of Quantum Supervised Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hur, Tak, Araujo, Israel F., Park, Daniel K.
Format:	Preprint
Published:	2023
Subjects:	Quantum Physics Emerging Technologies
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Pushing Boundaries: Quantum-Enhanced Leader Election and the Limits of Consensus
by: Radhakrishnan, Chandrashekar, et al.
Published: (2024)

Noise-adaptive hybrid quantum convolutional neural networks based on depth-stratified feature extraction
by: Kim, Taehyun, et al.
Published: (2026)

Schmidt quantum compressor
by: Araujo, Israel F., et al.
Published: (2024)

Quantum Multiplexer Simplification for State Preparation
by: de Carvalho, José A., et al.
Published: (2024)

Tucker iterative quantum state preparation
by: Blank, Carsten, et al.
Published: (2026)

Variational Quantum Algorithms for Combinatorial Optimization
by: Perez-Ramirez, Daniel F
Published: (2024)

Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices
by: Marchisio, Alberto, et al.
Published: (2024)

Quantum Quandaries: Unraveling Encoding Vulnerabilities in Quantum Neural Networks
by: Upadhyay, Suryansh, et al.
Published: (2025)

QuCoWE Quantum Contrastive Word Embeddings with Variational Circuits for NearTerm Quantum Devices
by: Karanjai, Rabimba, et al.
Published: (2025)

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks
by: Innan, Nouhaila, et al.
Published: (2024)

Review of Distributed Quantum Computing. From single QPU to High Performance Quantum Computing
by: Barral, David, et al.
Published: (2024)

QDoor: Exploiting Approximate Synthesis for Backdoor Attacks in Quantum Neural Networks
by: Chu, Cheng, et al.
Published: (2023)

Benchmarking Quantum Annealers with Near-Optimal Minor-Embedded Instances
by: Gilbert, Valentin, et al.
Published: (2024)

Towards Continuous-variable Quantum Neural Networks for Biomedical Imaging
by: Lopez, Daniel Alejandro, et al.
Published: (2025)

Adaptive Quantum Optimized Centroid Initialization
by: Allgood, Nicholas R., et al.
Published: (2024)

Assessing the Impact of Low Resolution Control Electronics on Quantum Neural Network Performance
by: Bhattacharjee, Rupayan, et al.
Published: (2026)

Linear decomposition of approximate multi-controlled single qubit gates
by: Silva, Jefferson D. S., et al.
Published: (2023)

Hamiltonian formulations of centroid-based clustering
by: Seong, Myeonghwan, et al.
Published: (2025)

Performance of Quantum Approximate Optimization with Quantum Error Detection
by: He, Zichang, et al.
Published: (2024)

From Bits to Qubits: Challenges in Classical-Quantum Integration
by: Kulkarni, Sudhanshu Pravin, et al.
Published: (2025)

Hierarchical Multigrid Ansatz for Variational Quantum Algorithms
by: Keller, Christo Meriwether, et al.
Published: (2023)

Quantum Tunneling: From Theory to Error-Mitigated Quantum Simulation
by: Catrina, Sorana, et al.
Published: (2024)

Branch-Aware Quantum Constant Propagation for Dynamic Quantum Circuits
by: Fulginiti, Innocenzo, et al.
Published: (2026)

Quantum Computer Fingerprinting using Error Syndromes
by: Mutolo, Vincent, et al.
Published: (2025)

Divide-and-Conquer Simulation of Open Quantum Systems
by: Azevedo, Thiago Melo D., et al.
Published: (2025)

Multi-strategy Based Quantum Cost Reduction of Quantum Boolean Circuits
by: Ahmed, Taghreed, et al.
Published: (2024)

EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data
by: Han, Jason, et al.
Published: (2025)

Reachability Constraints in Variational Quantum Circuits: Optimization within Polynomial Group Module
by: Oh, Yun-Tak, et al.
Published: (2026)

Quantum Embedding Method for the Simulation of Strongly Correlated Systems on Quantum Computers
by: Rossmannek, Max, et al.
Published: (2023)

FedQNN: Federated Learning using Quantum Neural Networks
by: Innan, Nouhaila, et al.
Published: (2024)

Ensembles of Quantum Classifiers
by: Tolotti, Emiliano, et al.
Published: (2023)

Quantum computing with Qiskit
by: Javadi-Abhari, Ali, et al.
Published: (2024)

Transversal AND in Quantum Codes
by: Li, Christine, et al.
Published: (2026)

Quantum Annealing Hyperparameter Analysis for Optimal Sensor Placement in Production Environments
by: Kraus, Nico, et al.
Published: (2025)

Distributed Quantum Computation with Minimum Circuit Execution Time over Quantum Networks
by: Sundaram, Ranjani G, et al.
Published: (2024)

Ecosystem-Agnostic Standardization of Quantum Runtime Architecture: Accelerating Utility in Quantum Computing
by: Tsymbalista, Markiian, et al.
Published: (2024)

Dependable Classical-Quantum Computer Systems Engineering
by: Giusto, Edoardo, et al.
Published: (2024)

Implementation and Empirical Evaluation of a Quantum Machine Learning Pipeline for Local Classification
by: Zardini, Enrico, et al.
Published: (2022)

A Systematic Study of Noise Effects in Hybrid Quantum-Classical Machine Learning
by: Bose, Bhavna, et al.
Published: (2026)

Comparing Three Generations of D-Wave Quantum Annealers for Minor Embedded Combinatorial Optimization Problems
by: Pelofske, Elijah
Published: (2023)