Cover Image

Efficient learning of bosonic Gaussian unitaries

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fanizza, Marco, Iyer, Vishnu, Lee, Junseo, Mele, Antonio A., Mele, Francesco A.
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Data Structures and Algorithms Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mildly-Interacting Fermionic Unitaries are Efficiently Learnable
by: Iyer, Vishnu
Published: (2025)

Optimal learning of quantum channels in diamond distance
by: Mele, Antonio Anna, et al.
Published: (2025)

Non-iid hypothesis testing: from classical to quantum
by: De Palma, Giacomo, et al.
Published: (2025)

Heisenberg-limited Hamiltonian learning without short-time control
by: Shin, Myeongjin, et al.
Published: (2026)

Optimal certification of constant-local Hamiltonians
by: Lee, Junseo, et al.
Published: (2025)

Tolerant Testing of Stabilizer States with Mixed State Inputs
by: Iyer, Vishnu, et al.
Published: (2024)

Nearly optimal algorithms to learn sparse quantum Hamiltonians in physically motivated distances
by: Abbas, Amira, et al.
Published: (2025)

A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values
by: Chen, Tyler, et al.
Published: (2025)

Structure learning of Hamiltonians from real-time evolution
by: Bakshi, Ainesh, et al.
Published: (2024)

Improved algorithms for learning quantum Hamiltonians, via flat polynomials
by: Narayanan, Shyam
Published: (2024)

Optimal learning of quantum Hamiltonians from high-temperature Gibbs states
by: Haah, Jeongwan, et al.
Published: (2021)

Simulating Gaussian boson sampling on graphs in polynomial time
by: Anand, Konrad, et al.
Published: (2025)

Provably faster randomized and quantum algorithms for $k$-means clustering via uniform sampling
by: Chen, Tyler, et al.
Published: (2025)

Improved Stabilizer Estimation via Bell Difference Sampling
by: Grewal, Sabee, et al.
Published: (2023)

Certifying and learning local quantum Hamiltonians
by: Bluhm, Andreas, et al.
Published: (2026)

Sublinear Time Quantum Sensitivity Sampling
by: Song, Zhao, et al.
Published: (2025)

Quantum Sparse Recovery and Quantum Orthogonal Matching Pursuit
by: Bellante, Armando, et al.
Published: (2025)

Instance-Optimal Quantum State Certification with Entangled Measurements
by: O'Donnell, Ryan, et al.
Published: (2025)

Sublinear Time Quantum Algorithm for Attention Approximation
by: Song, Zhao, et al.
Published: (2026)

Quantum principal component analysis without eigenvector recovery
by: Yuan, Yewei, et al.
Published: (2026)

Do you know what q-means?
by: Cornelissen, Arjan, et al.
Published: (2023)

A Quantum Approximation Scheme for k-Means
by: Jaiswal, Ragesh
Published: (2023)

Learning $k$-body Hamiltonians via compressed sensing
by: Ma, Muzhou, et al.
Published: (2024)

Predicting quantum channels over general product distributions
by: Chen, Sitan, et al.
Published: (2024)

QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design
by: Yang, Rui, et al.
Published: (2024)

Robust Dequantization of the Quantum Singular value Transformation and Quantum Machine Learning Algorithms
by: Gall, François Le
Published: (2023)

Learning the structure of any Hamiltonian from minimal assumptions
by: Zhao, Andrew
Published: (2024)

Learning quantum Hamiltonians at any temperature in polynomial time
by: Bakshi, Ainesh, et al.
Published: (2023)

Learning fermionic linear optics with Heisenberg scaling and physical operations
by: Christensen, Aria, et al.
Published: (2026)

Query-optimal estimation of unitary channels in diamond distance
by: Haah, Jeongwan, et al.
Published: (2023)

Interactive proofs for verifying (quantum) learning and testing
by: Caro, Matthias C., et al.
Published: (2024)

Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more
by: Allcock, Jonathan, et al.
Published: (2025)

Non-unitary enhanced transfer efficiency in quantum walk search on complex networks
by: Nzongani, Ugo, et al.
Published: (2025)

Efficient Classical Sampling from Gaussian Boson Sampling Distributions on Unweighted Graphs
by: Zhang, Yexin, et al.
Published: (2025)

Efficient Certificates of Anti-Concentration Beyond Gaussians
by: Bakshi, Ainesh, et al.
Published: (2024)

Agnostic learning in (almost) optimal time via Gaussian surface area
by: Pesenti, Lucas, et al.
Published: (2026)

Are controlled unitaries helpful?
by: Tang, Ewin, et al.
Published: (2025)

Efficient Sample-optimal Learning of Gaussian Tree Models via Sample-optimal Testing of Gaussian Mutual Information
by: Gayen, Sutanu, et al.
Published: (2024)

Efficiently learning and sampling multimodal distributions with data-based initialization
by: Koehler, Frederic, et al.
Published: (2024)

Query-Efficient Correlation Clustering with Noisy Oracle
by: Kuroki, Yuko, et al.
Published: (2024)