Assumption-free fidelity bounds for hardware noise characterization
Fuente:
arXiv
Saved in:
| Main Author: | Colombo, Nicolo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Benchmarking MedMNIST dataset on real quantum hardware
by: Singh, Gurinder, et al.
Published: (2025)
by: Singh, Gurinder, et al.
Published: (2025)
Learning to rank quantum circuits for hardware-optimized performance enhancement
by: Hartnett, Gavin S., et al.
Published: (2024)
by: Hartnett, Gavin S., et al.
Published: (2024)
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)
Curriculum reinforcement learning for quantum architecture search under hardware errors
by: Patel, Yash J., et al.
Published: (2024)
by: Patel, Yash J., et al.
Published: (2024)
Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware
by: Kundu, Akash, et al.
Published: (2024)
by: Kundu, Akash, et al.
Published: (2024)
Effects of noise on the overparametrization of quantum neural networks
by: García-Martín, Diego, et al.
Published: (2023)
by: García-Martín, Diego, et al.
Published: (2023)
Stochastic noise can be helpful for variational quantum algorithms
by: Liu, Junyu, et al.
Published: (2022)
by: Liu, Junyu, et al.
Published: (2022)
Reduction of finite sampling noise in quantum neural networks
by: Kreplin, David A., et al.
Published: (2023)
by: Kreplin, David A., et al.
Published: (2023)
Symmetry breaking in geometric quantum machine learning in the presence of noise
by: Tüysüz, Cenk, et al.
Published: (2024)
by: Tüysüz, Cenk, et al.
Published: (2024)
The Average Relative Entropy and Transpilation Depth determines the noise robustness in Variational Quantum Classifiers
by: Shinde, Aakash Ravindra, et al.
Published: (2026)
by: Shinde, Aakash Ravindra, et al.
Published: (2026)
Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators
by: Sahin, M. Emre, et al.
Published: (2025)
by: Sahin, M. Emre, et al.
Published: (2025)
High-fidelity dimer excitations using quantum hardware
by: Eassa, Norhan M., et al.
Published: (2023)
by: Eassa, Norhan M., et al.
Published: (2023)
QuProFS: An Evolutionary Training-free Approach to Efficient Quantum Feature Map Search
by: Gujju, Yaswitha, et al.
Published: (2025)
by: Gujju, Yaswitha, et al.
Published: (2025)
Normalizing Flows for Conformal Regression
by: Colombo, Nicolo
Published: (2024)
by: Colombo, Nicolo
Published: (2024)
Artificial intelligence for representing and characterizing quantum systems
by: Du, Yuxuan, et al.
Published: (2025)
by: Du, Yuxuan, et al.
Published: (2025)
Method for noise-induced regularization in quantum neural networks
by: Kuzmin, Viacheslav, et al.
Published: (2024)
by: Kuzmin, Viacheslav, et al.
Published: (2024)
Fundamental causal bounds of quantum random access memories
by: Wang, Yunfei, et al.
Published: (2023)
by: Wang, Yunfei, et al.
Published: (2023)
Tight bounds on Pauli channel learning without entanglement
by: Chen, Senrui, et al.
Published: (2023)
by: Chen, Senrui, et al.
Published: (2023)
Learning quantum states and unitaries of bounded gate complexity
by: Zhao, Haimeng, et al.
Published: (2023)
by: Zhao, Haimeng, et al.
Published: (2023)
Quantum subspace expansion in the presence of hardware noise
by: Getelina, João C., et al.
Published: (2024)
by: Getelina, João C., et al.
Published: (2024)
Improving GANs by leveraging the quantum noise from real hardware
by: Jin, Hongni, et al.
Published: (2025)
by: Jin, Hongni, et al.
Published: (2025)
Improving thermal state preparation of Sachdev-Ye-Kitaev model with reinforcement learning on quantum hardware
by: Kundu, Akash
Published: (2025)
by: Kundu, Akash
Published: (2025)
Singularity-free dynamical invariants-based quantum control
by: Sareen, Ritik, et al.
Published: (2025)
by: Sareen, Ritik, et al.
Published: (2025)
Ansatz-free Hamiltonian learning with Heisenberg-limited scaling
by: Hu, Hong-Ye, et al.
Published: (2025)
by: Hu, Hong-Ye, et al.
Published: (2025)
Model-free Distortion Canceling and Control of Quantum Devices
by: Fouad, Ahmed F., et al.
Published: (2024)
by: Fouad, Ahmed F., et al.
Published: (2024)
Replay-buffer engineering for noise-robust quantum circuit optimization
by: Kundu, Akash, et al.
Published: (2026)
by: Kundu, Akash, et al.
Published: (2026)
Stabilizers may be poor bounds for fidelities
by: Goldberg, Aaron Z.
Published: (2025)
by: Goldberg, Aaron Z.
Published: (2025)
Analytical blueprint for 99.999% fidelity X-gates on present superconducting hardware under strong driving
by: Jesus, José Diogo Da Costa, et al.
Published: (2025)
by: Jesus, José Diogo Da Costa, et al.
Published: (2025)
Impact of control signal phase noise on qubit fidelity
by: Barsotti, Agata, et al.
Published: (2026)
by: Barsotti, Agata, et al.
Published: (2026)
Derandomized shallow shadows: Efficient Pauli learning with bounded-depth circuits
by: Van Kirk, Katherine, et al.
Published: (2024)
by: Van Kirk, Katherine, et al.
Published: (2024)
Conformal Load Prediction with Transductive Graph Autoencoders
by: Luo, Rui, et al.
Published: (2024)
by: Luo, Rui, et al.
Published: (2024)
Entropy Reweighted Conformal Classification
by: Luo, Rui, et al.
Published: (2024)
by: Luo, Rui, et al.
Published: (2024)
Quantum hardware noise learning via differentiable Kraus representation on tensor networks
by: Sakai, Ryo, et al.
Published: (2026)
by: Sakai, Ryo, et al.
Published: (2026)
Information-theoretic generalization bounds for learning from quantum data
by: Caro, Matthias, et al.
Published: (2023)
by: Caro, Matthias, et al.
Published: (2023)
Qubit fidelity under stochastic Schrödinger equations driven by colored noise
by: de Keijzer, Robert, et al.
Published: (2024)
by: de Keijzer, Robert, 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)
Constrained free energy minimization for the design of thermal states and stabilizer thermodynamic systems
by: Minervini, Michele, et al.
Published: (2025)
by: Minervini, Michele, et al.
Published: (2025)
Provable bounds for noise-free expectation values computed from noisy samples
by: Barron, Samantha V., et al.
Published: (2023)
by: Barron, Samantha V., et al.
Published: (2023)
Probing the limits of variational quantum algorithms for nonlinear ground states on real quantum hardware: The effects of noise
by: Umer, Muhammad, et al.
Published: (2024)
by: Umer, Muhammad, et al.
Published: (2024)
Multi-fidelity surrogates for mechanics of composites: from co-kriging to multi-fidelity neural networks
by: Wen, Haizhou, et al.
Published: (2026)
by: Wen, Haizhou, et al.
Published: (2026)
Similar Items
-
Benchmarking MedMNIST dataset on real quantum hardware
by: Singh, Gurinder, et al.
Published: (2025) -
Learning to rank quantum circuits for hardware-optimized performance enhancement
by: Hartnett, Gavin S., et al.
Published: (2024) -
Enhancing variational quantum algorithms by balancing training on classical and quantum hardware
by: Bhowmick, Rahul, et al.
Published: (2025) -
Curriculum reinforcement learning for quantum architecture search under hardware errors
by: Patel, Yash J., et al.
Published: (2024) -
Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware
by: Kundu, Akash, et al.
Published: (2024)