Image de couverture de livre

Quantum computational sensing using quantum signal processing, quantum neural networks, and Hamiltonian engineering

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Khan, Saeed A., Prabhu, Sridhar, Wright, Logan G., McMahon, Peter L.
Format:	Preprint
Publié:	2025
Sujets:	Quantum Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Quantum Computational-Sensing Advantage
par: Khan, Saeed A., et autres
Publié: (2025)

Microwave signal processing using an analog quantum reservoir computer
par: Senanian, Alen, et autres
Publié: (2023)

Exponential advantage in quantum sensing of correlated parameters
par: Prabhu, Sridhar, et autres
Publié: (2025)

Quantum computational displacement sensing
par: Prabhu, Sridhar, et autres
Publié: (2026)

Quantum-limited stochastic optical neural networks operating at a few quanta per activation
par: Ma, Shi-Yuan, et autres
Publié: (2023)

Error-tolerant quantum convolutional neural networks for symmetry-protected topological phases
par: Zapletal, Petr, et autres
Publié: (2023)

Quantum optical neural networks using atom-cavity interactions to provide all-optical nonlinearity
par: Zhu, Chuanzhou, et autres
Publié: (2025)

Large-scale quantum reservoir computing using a Gaussian Boson Sampler
par: Cimini, Valeria, et autres
Publié: (2025)

Optimizing lossy state preparation for quantum sensing using Hamiltonian engineering
par: Madhusudhana, Bharath Hebbe
Publié: (2025)

A neural processing approach to quantum state discrimination
par: Khan, Saeed A., et autres
Publié: (2024)

Equating quantum imaginary time evolution, Riemannian gradient flows, and stochastic implementations
par: McMahon, Nathan A., et autres
Publié: (2025)

QGHNN: A quantum graph Hamiltonian neural network
par: Wang, Wenxuan
Publié: (2025)

Variational quantum Hamiltonian engineering
par: Zhao, Benchi, et autres
Publié: (2024)

A nonlinear quantum neural network framework for entanglement engineering
par: Macarone-Palmieri, Adriano, et autres
Publié: (2025)

Riemannian gradient descent-based quantum algorithms for ground state preparation with guarantees
par: Pervez, Mahum, et autres
Publié: (2025)

Lower overhead fault-tolerant building blocks for noisy quantum computers
par: Prabhu, Prithviraj
Publié: (2026)

Investigation of Floquet engineered non-Abelian geometric phase for holonomic quantum computing
par: Cooke, Logan W., et autres
Publié: (2023)

Quantum Kolmogorov-Arnold networks by combining quantum signal processing circuits
par: Daskin, Ammar
Publié: (2024)

Universal quantum computation using quantum annealing with the transverse-field Ising Hamiltonian
par: Imoto, Takashi, et autres
Publié: (2024)

Quantum-enhanced distributed network sensing using multiple quantum resources
par: Zhang, Rui, et autres
Publié: (2026)

Hamiltonian-reconstruction distance as a success metric for the Variational Quantum Eigensolver
par: Moon, Leo Joon Il, et autres
Publié: (2024)

Universal quantum computation in topological quantum neural networks and amplituhedron representation
par: Fields, Chris, et autres
Publié: (2025)

Training quantum neural networks using the Quantum Information Bottleneck method
par: Catli, Ahmet Burak, et autres
Publié: (2022)

Trained quantum neural networks are Gaussian processes
par: Girardi, Filippo, et autres
Publié: (2024)

Highly multimode visible squeezed light with programmable spectral correlations through broadband up-conversion
par: Presutti, Federico, et autres
Publié: (2024)

Physical Foundation Models: Fixed hardware implementations of large-scale neural networks
par: Wright, Logan G, et autres
Publié: (2026)

Tensor networks for quantum computing
par: Berezutskii, Aleksandr, et autres
Publié: (2025)

A tensor network approach to sensing quantum light-matter interactions
par: Khan, Aiman, et autres
Publié: (2025)

Modular quantum signal processing in many variables
par: Rossi, Zane M., et autres
Publié: (2023)

Simulation of exceptional-point systems on quantum computers for quantum sensing
par: Waghela, Chetan, et autres
Publié: (2023)

Fast quantum computation with all-to-all Hamiltonians
par: Yin, Chao
Publié: (2025)

TRON: Trainable, architecture-reconfigurable random optical neural networks
par: Wang, Ziao, et autres
Publié: (2026)

Quantum speed limit in quantum sensing
par: Herb, Konstantin, et autres
Publié: (2024)

Symplectic perspective to quantum computing for Hamiltonian systems
par: Koukoutsis, Efstratios, et autres
Publié: (2026)

What is my quantum computer good for? Quantum capability learning with physics-aware neural networks
par: Hothem, Daniel, et autres
Publié: (2024)

Quantum Variational Solving of Nonlinear and Multi-Dimensional Partial Differential Equations
par: Sarma, Abhijat, et autres
Publié: (2023)

Towards adiabatic quantum computing using compressed quantum circuits
par: Keever, Conor Mc, et autres
Publié: (2023)

Quantum-enhanced neural networks for quantum many-body simulations
par: Zhang, Zongkang, et autres
Publié: (2025)

Violation of no-signaling on a public quantum computer
par: Rybotycki, Tomasz, et autres
Publié: (2024)

Quantum tensor network algorithms for evaluation of spectral functions on quantum computers
par: Wall, Michael L., et autres
Publié: (2023)