Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators
Fuente:
arXiv
Saved in:
| Main Authors: | Sahin, M. Emre, Altamura, Edoardo, Wallis, Oscar, Wood, Stephen P., Dekusar, Anton, Millar, Declan A., Imamichi, Takashi, Matsuo, Atsushi, Mensa, Stefano |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Encoding molecular structures in quantum machine learning
by: Boy, Choy, et al.
Published: (2025)
by: Boy, Choy, et al.
Published: (2025)
An open-source framework for quantum hardware control
by: Pedicillo, Edoardo, et al.
Published: (2024)
by: Pedicillo, Edoardo, et al.
Published: (2024)
HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware
by: Sawaya, Nicolas PD, et al.
Published: (2023)
by: Sawaya, Nicolas PD, et al.
Published: (2023)
Evolving a multi-population evolutionary-QAOA on distributed QPUs
by: Schiavello, Francesca, et al.
Published: (2024)
by: Schiavello, Francesca, et al.
Published: (2024)
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training
by: Sahin, M. Emre, et al.
Published: (2024)
by: Sahin, M. Emre, et al.
Published: (2024)
Approximate quantum circuit compilation for proton-transfer kinetics on quantum processors
by: Kovyrshin, Arseny, et al.
Published: (2025)
by: Kovyrshin, Arseny, et al.
Published: (2025)
Enhancing variational quantum algorithms by balancing training on classical and quantum hardware
by: Bhowmick, Rahul, et al.
Published: (2025)
by: Bhowmick, Rahul, et al.
Published: (2025)
RealTimeTransport: An open-source C++ library for quantum transport simulations in the strong coupling regime
by: Nestmann, Konstantin, et al.
Published: (2024)
by: Nestmann, Konstantin, et al.
Published: (2024)
Imaginary Time Spectral Transforms for Excited State Preparation
by: Millar, D. A., et al.
Published: (2025)
by: Millar, D. A., et al.
Published: (2025)
Qiboml: towards the orchestration of quantum-classical machine learning
by: Robbiati, Matteo, et al.
Published: (2025)
by: Robbiati, Matteo, et al.
Published: (2025)
Incompressible Navier-Stokes solve on noisy quantum hardware via a hybrid quantum-classical scheme
by: Song, Zhixin, et al.
Published: (2024)
by: Song, Zhixin, et al.
Published: (2024)
Resource assessment of classical and quantum hardware for post-quench dynamics
by: Vovrosh, Joseph, et al.
Published: (2025)
by: Vovrosh, Joseph, et al.
Published: (2025)
Action for classical, quantum, closed and open systems
by: Polonyi, Janos
Published: (2023)
by: Polonyi, Janos
Published: (2023)
Predicting open quantum dynamics with data-informed quantum-classical dynamics
by: Xie, Pinchen, et al.
Published: (2025)
by: Xie, Pinchen, et al.
Published: (2025)
A unified 4D phase-space framework for two-level quantum dynamics: open-source library
by: Morandi, O.
Published: (2026)
by: Morandi, O.
Published: (2026)
Practicality of training a quantum-classical machine in the NISQ era
by: Dutta, Tarun, et al.
Published: (2024)
by: Dutta, Tarun, et al.
Published: (2024)
Qibolab: an open-source hybrid quantum operating system
by: Efthymiou, Stavros, et al.
Published: (2023)
by: Efthymiou, Stavros, et al.
Published: (2023)
Quantum chemistry with provable convergence via randomized sample-based Krylov quantum diagonalization
by: Piccinelli, Samuele, et al.
Published: (2025)
by: Piccinelli, Samuele, 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)
by: Turro, Francesco, et al.
Published: (2023)
Machine-learning certification of multipartite entanglement for noisy quantum hardware
by: Fuchs, Andreas J. C., et al.
Published: (2024)
by: Fuchs, Andreas J. C., et al.
Published: (2024)
Spin-chain based quantum thermal machines
by: Centamori, Edoardo Maria, et al.
Published: (2023)
by: Centamori, Edoardo Maria, et al.
Published: (2023)
Quantum computing with Qiskit
by: Javadi-Abhari, Ali, et al.
Published: (2024)
by: Javadi-Abhari, Ali, et al.
Published: (2024)
Floquet theory and applications in open quantum and classical systems
by: Sato, Masahiro, et al.
Published: (2025)
by: Sato, Masahiro, et al.
Published: (2025)
Accurate nuclear quantum statistics on machine-learned classical effective potentials
by: Zaporozhets, Iryna, et al.
Published: (2024)
by: Zaporozhets, Iryna, et al.
Published: (2024)
Distributed quantum machine learning via classical communication
by: Hwang, Kiwmann, et al.
Published: (2024)
by: Hwang, Kiwmann, et al.
Published: (2024)
TorchOptics: An open-source Python library for differentiable Fourier optics simulations
by: Filipovich, Matthew J., et al.
Published: (2024)
by: Filipovich, Matthew J., et al.
Published: (2024)
Towards an open-source framework to perform quantum calibration and characterization
by: Pasquale, Andrea, et al.
Published: (2023)
by: Pasquale, Andrea, et al.
Published: (2023)
Designing open quantum systems for enabling quantum enhanced sensing through classical measurements
by: Mattes, Robert, et al.
Published: (2025)
by: Mattes, Robert, et al.
Published: (2025)
Reducing classical communication costs in multiplexed quantum repeaters using hardware-aware quasi-local policies
by: Haldar, Stav, et al.
Published: (2024)
by: Haldar, Stav, et al.
Published: (2024)
A Kerr kernel quantum learning machine
by: Wood, Carolyn, et al.
Published: (2024)
by: Wood, Carolyn, et al.
Published: (2024)
Qibocal: an open-source framework for calibration of self-hosted quantum devices
by: Pasquale, Andrea, et al.
Published: (2024)
by: Pasquale, Andrea, et al.
Published: (2024)
Cyclic solid-state quantum battery: Thermodynamic characterization and quantum hardware simulation
by: Razzoli, Luca, et al.
Published: (2024)
by: Razzoli, Luca, et al.
Published: (2024)
Parallel hybrid quantum-classical machine learning for kernelized time-series classification
by: Baker, Jack S., et al.
Published: (2023)
by: Baker, Jack S., et al.
Published: (2023)
Hybrid classical-quantum branch-and-bound algorithm for solving integer linear problems
by: Sanavio, Claudio, et al.
Published: (2023)
by: Sanavio, Claudio, et al.
Published: (2023)
Mitigating exponential concentration in covariant quantum kernels for subspace and real-world data
by: Agliardi, Gabriele, et al.
Published: (2024)
by: Agliardi, Gabriele, et al.
Published: (2024)
Expressive equivalence of classical and quantum restricted Boltzmann machines
by: Demidik, Maria, et al.
Published: (2025)
by: Demidik, Maria, et al.
Published: (2025)
Shifting sands of hardware and software in exascale quantum mechanical simulations
by: Shinde, Ravindra, et al.
Published: (2024)
by: Shinde, Ravindra, et al.
Published: (2024)
Getting large-scale quantum neural networks ready for quantum hardware
by: Boneberg, Mario, et al.
Published: (2026)
by: Boneberg, Mario, 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)
by: Recio-Armengol, Erik, et al.
Published: (2025)
pyMSER -- An open-source library for automatic equilibration detection in molecular simulations
by: Oliveira, Felipe Lopes, et al.
Published: (2024)
by: Oliveira, Felipe Lopes, et al.
Published: (2024)
Similar Items
-
Encoding molecular structures in quantum machine learning
by: Boy, Choy, et al.
Published: (2025) -
An open-source framework for quantum hardware control
by: Pedicillo, Edoardo, et al.
Published: (2024) -
HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware
by: Sawaya, Nicolas PD, et al.
Published: (2023) -
Evolving a multi-population evolutionary-QAOA on distributed QPUs
by: Schiavello, Francesca, et al.
Published: (2024) -
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training
by: Sahin, M. Emre, et al.
Published: (2024)