Cover Image

Learning Fourier series with parametrized quantum circuits

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Heimann, Dirk, Hohenfeld, Hans, Schönhoff, Gunnar, Mounzer, Elie, Kirchner, Frank
Format:	Preprint
Published:	2022
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantum Deep Reinforcement Learning for Robot Navigation Tasks
by: Hohenfeld, Hans, et al.
Published: (2022)

Explaining Anomalies with Tensor Networks
by: Hohenfeld, Hans, et al.
Published: (2025)

A partition function framework for estimating logical error curves in stabilizer codes
by: Wichette, Leon, et al.
Published: (2025)

Iterative Linear Quadratic Regulator for Quantum Optimal Control
by: Heimann, Dirk, et al.
Published: (2025)

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning
by: Kankeu, Ivan, et al.
Published: (2025)

Exploration of Design Alternatives for Reducing Idle Time in Shor's Algorithm: A Study on Monolithic and Distributed Quantum Systems
by: Schmidt, Moritz, et al.
Published: (2025)

Phase transitions in parametrized quantum circuits
by: Wang, Xiaoyang, et al.
Published: (2026)

Expectation value estimation with parametrized quantum circuits
by: Wu, Bujiao, et al.
Published: (2024)

A novel quantum circuit for the quantum Fourier transform
by: Romero, Juan M., et al.
Published: (2025)

Best-approximation error for parametric quantum circuits
by: Funcke, Lena, et al.
Published: (2021)

Estimates of loss function concentration in noisy parametrized quantum circuits
by: Crognaletti, Giulio, et al.
Published: (2024)

Efficient MPS representations and quantum circuits from the Fourier modes of classical image data
by: Jobst, Bernhard, et al.
Published: (2023)

Multiphoton interference in quantum Fourier transform circuits and applications to quantum metrology
by: Su, Zu-En, et al.
Published: (2017)

Local Hamiltonian decomposition and classical simulation of parametrized quantum circuits
by: Adhikari, Bibhas, et al.
Published: (2024)

A Fourier analysis framework for approximate classical simulations of quantum circuits
by: Cirstoiu, Cristina
Published: (2024)

Variational noise mitigation in quantum circuits: the case of Quantum Fourier Transform
by: Gómez-Lurbe, Rafael, et al.
Published: (2025)

A discrete Fourier transform based quantum circuit for modular multiplication in Shor's algorithm
by: Patoary, Abu Musa, et al.
Published: (2025)

Dimensional Expressivity Analysis, best-approximation errors, and automated design of parametric quantum circuits
by: Funcke, Lena, et al.
Published: (2021)

Four-body interactions in Kerr parametric oscillator circuits
by: Kawakami, Yohei, et al.
Published: (2025)

Exact amplitudes of parametric processes in driven Josephson circuits
by: Baskov, Roman, et al.
Published: (2025)

Optimal number of parametrized rotations and Hadamard gates in parametrized Clifford circuits with non-repeated parameters
by: Vandaele, Vivien, et al.
Published: (2024)

Tensor Network Lattice Boltzmann Method for Data-Compressed Fluid Simulations
by: Gross, Lukas, et al.
Published: (2025)

Fourier series weight in quantum machine learning
by: Atchade-Adelomou, Parfait, et al.
Published: (2023)

Efficient simulation of parametrized quantum circuits under non-unital noise through Pauli backpropagation
by: Martinez, Victor, et al.
Published: (2025)

Learning kernels with quantum optical circuits
by: Mandilara, A., et al.
Published: (2025)

Training the parametric interactions in an analog bosonic quantum neural network with Fock basis measurement
by: Dudas, Julien, et al.
Published: (2024)

Quantum circuits for partial differential equations in Fourier space
by: Lubasch, Michael, et al.
Published: (2025)

Efficient two-qutrit gates in superconducting circuits using parametric coupling
by: Subramanian, Mahadevan, et al.
Published: (2023)

Bipartite entanglement under frequency comb pumping in parametric Josephson circuits
by: Vartiainen, Mikael, et al.
Published: (2026)

Peripheral circuits for ideal performance of a travelling-wave parametric amplifier
by: Nilsson, Hampus Renberg, et al.
Published: (2023)

Dividing quantum circuits for time evolution of stochastic processes by orthogonal series density estimation
by: Miyamoto, Koichi
Published: (2024)

Modeling Josephson traveling-wave parametric amplifiers with electromagnetic and circuit co-simulation
by: Yang, Likai, et al.
Published: (2025)

Learning the expressibility of quantum circuit ansatz using transformer
by: Zhang, Fei, et al.
Published: (2024)

Learning dynamic quantum circuits for efficient state preparation
by: Alam, Faisal, et al.
Published: (2024)

Learning error suppression strategies for dynamic quantum circuits
by: Tong, Christopher, et al.
Published: (2026)

Learning shallow quantum circuits with many-qubit gates
by: Vasconcelos, Francisca, et al.
Published: (2024)

Tomography of parametrized quantum states
by: Schreiber, Franz J., et al.
Published: (2024)

Learning shallow quantum circuits
by: Huang, Hsin-Yuan, et al.
Published: (2024)

Benchmarking quantum gates and circuits
by: Tripathi, Vinay, et al.
Published: (2024)

Improved quantum circuits for division
by: Mukhopadhyay, Priyanka, et al.
Published: (2026)