Cover Image

Probability distribution reconstruction using circuit cutting applied to a variational classifier

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Neumann, Niels M. P., Rocha, Carlos M. R., Verbree, Jasper, van Vliet, Marc
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating Quantum Wire Cutting for QAOA: Performance Benchmarks in Ideal and Noisy Environments
by: Meulen, Michel, et al.
Published: (2026)

State preparation by shallow circuits using feed forward
by: Buhrman, Harry, et al.
Published: (2023)

A hybrid variational quantum circuit approach for stabilizer states classifiers
by: Aslam, Hamna, et al.
Published: (2025)

Ensemble-learning error mitigation for variational quantum shallow-circuit classifiers
by: Li, Qingyu, et al.
Published: (2023)

Theoretical and experimental analysis of adaptive quantum computers
by: Neumann, Niels M. P.
Published: (2025)

Adaptive Quantum Computers: decoding and state preparation
by: Neumann, Niels M. P.
Published: (2025)

Generating probability distributions using variational quantum circuits
by: Raj, Ronit, et al.
Published: (2023)

Solving Markov Chains with Analog Quantum Computing: The Fine Print
by: van der Schoot, Ward, et al.
Published: (2025)

A Triple-Hybrid Quantum Support Vector Machine Using Classical, Quantum Gate-based and Quantum Annealing-based Computing
by: Boschero, Juan C., et al.
Published: (2025)

Spatial and temporal circuit cutting with hypergraphic partitioning
by: Cambiucci, Waldemir, et al.
Published: (2025)

Low overhead circuit cutting with operator backpropagation
by: Pal, Debarthi, et al.
Published: (2025)

Multi-variable integration with a variational quantum circuit
by: Cruz-Martinez, Juan M., et al.
Published: (2023)

Noise robustness of a multiparty quantum summation protocol
by: Otero, Antón Rodríguez, et al.
Published: (2023)

Non-Local Phase Estimation with a Rydberg-Superconducting Qubit Hybrid
by: Boschero, Juan C., et al.
Published: (2025)

Generative quantum eigensolver with constrained circuit-cutting overhead
by: Nakamura, Junya, et al.
Published: (2025)

Progress on artificial flat band systems: classifying, perturbing, applying
by: Danieli, Carlo, et al.
Published: (2026)

QuAS: Quantum Application Score for benchmarking the utility of quantum computers
by: Mesman, Koen J., et al.
Published: (2024)

Optimal quantum circuit cuts with application to clustered Hamiltonian simulation
by: Harrow, Aram W., et al.
Published: (2024)

Cylindrically confined $H$ atom in magnetic field: variational cut-off factor
by: Tavera, A. N. Mendoza, et al.
Published: (2025)

Extending the Q-score to an Application-level Quantum Metric Framework
by: van der Schoot, Ward, et al.
Published: (2023)

Probabilistic tensor optimization of quantum circuits for the max-$k$-cut problem
by: Paradezhenko, G. V., et al.
Published: (2023)

Noisy decoding by shallow circuits with parities: classical and quantum
by: Briët, Jop, et al.
Published: (2023)

A circuit-generated quantum subspace algorithm for the variational quantum eigensolver
by: Hirsbrunner, Mark R., et al.
Published: (2024)

Quantum circuit evolutionary framework applied on set partitioning problem
by: Fernandez, Bruno Oziel, et al.
Published: (2025)

CutQAS: Topology-aware quantum circuit cutting via reinforcement learning
by: Sadhu, Abhishek, et al.
Published: (2025)

Improved sampling bounds and scalable partitioning for quantum circuit cutting beyond bipartitions
by: Nakamura, Junya, et al.
Published: (2025)

Distributed Quantum Computing: Applications and Challenges
by: Boschero, Juan C., et al.
Published: (2024)

Surrogate optimization of variational quantum circuits
by: Gustafson, Erik J., et al.
Published: (2024)

On the Complexity of Quantum Field Theory
by: Grimm, Thomas W., et al.
Published: (2024)

Inequality constraints in variational quantum circuits with qudits
by: Bottarelli, Alberto, et al.
Published: (2024)

Calibrating the role of entanglement in variational quantum circuits
by: Nakhl, Azar C., et al.
Published: (2023)

Iterative Qubit Coupled Cluster using only Clifford circuits
by: Brown, James, et al.
Published: (2022)

Measurement-based infused circuits for variational quantum eigensolvers
by: Chan, Albie, et al.
Published: (2023)

Pulse-based variational quantum optimization and metalearning in superconducting circuits
by: Wang, Yapeng, et al.
Published: (2024)

Diagonalizing large-scale quantum many-body Hamiltonians using variational quantum circuit and tensor network
by: Zhou, Peng-Fei, et al.
Published: (2025)

Realization of a quantum neural network using repeat-until-success circuits in a superconducting quantum processor
by: Moreira, M. S., et al.
Published: (2022)

Learning to learn with an evolutionary strategy applied to variational quantum algorithms
by: Friedrich, Lucas, et al.
Published: (2023)

Performance guarantees of light-cone variational quantum algorithms for the maximum cut problem
by: Wang, Xiaoyang, et al.
Published: (2025)

Quantum circuit simulation with a local time-dependent variational principle
by: Sander, Aaron, et al.
Published: (2025)

Noise-aware selection of circuit cutting strategies under hardware noise non-uniformity
by: Pal, Debarthi, et al.
Published: (2026)