:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Calderón, Luis Mantilla, Raussendorf, Robert, Feldmann, Polina, Bondarenko, Dmytro
Format:	Preprint
Published:	2024
Subjects:	Quantum Physics
Online Access:	https://arxiv.org/abs/2405.08319
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Testing measurement-based computational phases of quantum matter on a quantum processor
by: Weil, Ryohei, et al.
Published: (2026)

Measurement-based quantum computation in symmetry protected topological states of one-dimensional integer spin systems
by: Yang, Wang, et al.
Published: (2024)

Measurement-based quantum computation in finite one-dimensional systems: string order implies computational power
by: Raussendorf, Robert, et al.
Published: (2022)

Sub-Riemannian geometry of measurement based quantum computation
by: Hantzko, Lukas, et al.
Published: (2025)

Counter-intuitive yet efficient regimes for measurement based quantum computation on symmetry protected spin chains
by: Adhikary, Arnab, et al.
Published: (2023)

Simulating quantum computation: how many "bits" for "it"?
by: Zurel, Michael, et al.
Published: (2023)

Solving graph problems using permutation-invariant quantum machine learning
by: Mansky, Maximilian Balthasar, et al.
Published: (2025)

The Gauge Theory of Measurement-Based Quantum Computation
by: Wong, Gabriel, et al.
Published: (2022)

Simulation of quantum computation with magic states via Jordan-Wigner transformations
by: Zurel, Michael, et al.
Published: (2023)

Hidden variable model for quantum computation with magic states on qudits of any dimension
by: Zurel, Michael, et al.
Published: (2021)

Redundant string symmetry-based error correction: Demonstrations on quantum devices
by: Qin, Zhangjie, et al.
Published: (2023)

Clique detection using symmetry-restricted quantum circuits
by: Mansky, Maximilian Balthasar, et al.
Published: (2025)

Analysis of quantum neural network performance via edge cases
by: Mansky, Maximilian Balthasar, et al.
Published: (2025)

Universal measurement-based quantum computation in a one-dimensional architecture enabled by dual-unitary circuits
by: Stephen, David T., et al.
Published: (2022)

A 3D lattice defect and efficient computations in topological MBQC
by: Tournaire, Gabrielle, et al.
Published: (2024)

Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays
by: Nakaji, Kouhei, et al.
Published: (2025)

Variational decision diagrams for quantum-inspired machine learning applications
by: Vargas-Calderón, Vladimir, et al.
Published: (2025)

Decomposition of unitary matrix into quantum gates
by: Fedoriaka, Dmytro
Published: (2025)

Reinforcement learning-based architecture search for quantum machine learning
by: Rapp, Frederic, et al.
Published: (2024)

Exploring quantum localization with machine learning
by: Montes, J., et al.
Published: (2024)

Single-shot quantum machine learning
by: Recio-Armengol, Erik, et al.
Published: (2024)

Local surrogates for quantum machine learning
by: Nair, Sreeraj Rajindran, et al.
Published: (2025)

Molecular representations of quantum circuits for quantum machine learning
by: Torabian, Elham, et al.
Published: (2025)

Can machine learning for quantum-gas experiments be explainable?
by: Zwolak, I. B. Spielman amd J. P.
Published: (2026)

Advantage of discrete variable representation in variational quantum eigensolvers for vibrational energy calculations
by: Asnaashari, K., et al.
Published: (2023)

Nanodiamond quantum thermometry assisted with machine learning
by: Yamamoto, Kouki, et al.
Published: (2025)

Black hole/quantum machine learning correspondence
by: Lee, Jae-Weon, et al.
Published: (2025)

A Kerr kernel quantum learning machine
by: Wood, Carolyn, et al.
Published: (2024)

The power of entanglement in distributed quantum machine learning
by: Kim, Yerim, et al.
Published: (2026)

Encoding molecular structures in quantum machine learning
by: Boy, Choy, et al.
Published: (2025)

Research progress on quantum neural networks and quantum machine learning
by: Sun, Yifan, et al.
Published: (2026)

Automated quantum system modeling with machine learning
by: Mukherjee, Kaustav, et al.
Published: (2024)

All rf-based tuning algorithm for quantum devices using machine learning
by: van Straaten, Barnaby, et al.
Published: (2022)

Shadows of quantum machine learning
by: Jerbi, Sofiene, et al.
Published: (2023)

Learning complexity gradually in quantum machine learning models
by: Recio-Armengol, Erik, et al.
Published: (2024)

Measurement-based quantum convolutional neural network for deep learning
by: Sun, Yifan, et al.
Published: (2024)

Optimizing ground state preparation protocols with autoresearch
by: Calderón, Luis Mantilla, et al.
Published: (2026)

Distributed quantum machine learning via classical communication
by: Hwang, Kiwmann, et al.
Published: (2024)

Light-cone feature selection for quantum machine learning
by: Suzuki, Yudai, et al.
Published: (2024)

Application of machine learning to experimental design in quantum mechanics
by: Belliardo, Federico, et al.
Published: (2024)