Cover Image

Classical algorithms for measurement-adaptive Gaussian circuits

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Oh, Changhun, Lim, Youngrong
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

Classical algorithms for estimating expectation values in linear-optical circuits
by: Lim, Youngrong, et al.
Published: (2025)

Quantum-inspired classical algorithm for molecular vibronic spectra
by: Oh, Changhun, et al.
Published: (2022)

Classical simulability of constant-depth linear-optical circuits with noise
by: Oh, Changhun
Published: (2024)

Efficacy of virtual purification-based error mitigation on quantum metrology
by: Kwon, Hyukgun, et al.
Published: (2023)

Classical algorithm for simulating experimental Gaussian boson sampling
by: Oh, Changhun, et al.
Published: (2023)

Classical simulation of a quantum circuit with noisy magic inputs
by: Heo, Jiwon, et al.
Published: (2026)

Virtual purification complements quantum error correction in quantum metrology
by: Kwon, Hyukgun, et al.
Published: (2025)

Quantum-inspired classical algorithm for graph problems by Gaussian boson sampling
by: Oh, Changhun, et al.
Published: (2023)

Classical simulation of noisy random circuits from exponential decay of correlation
by: Lee, Su-un, et al.
Published: (2025)

Sufficient conditions for hardness of lossy Gaussian boson sampling
by: Go, Byeongseon, et al.
Published: (2025)

Trade-off between Information Gain and Disturbance in Local Discrimination of Entangled Quantum States
by: Lim, Youngrong, et al.
Published: (2023)

Classical simulation of free-fermionic dynamics and quantum chemistry with magic input
by: Oh, Changhun, et al.
Published: (2026)

Exponential advantage in continuous-variable quantum state learning
by: Coroi, Eugen, et al.
Published: (2025)

On the query complexity of unitary channel certification
by: Jeon, Sangwoo, et al.
Published: (2025)

Matrix product state approach to lossy boson sampling and noisy IQP sampling
by: Park, Sojeong, et al.
Published: (2025)

On the Fundamental Resource for Exponential Advantage in Quantum Channel Learning
by: Kim, Minsoo, et al.
Published: (2025)

Formulas for Mutually Orthogonal Quantum States in Two-Qubit Systems: Orthogonal Schmidt Decompositions
by: Lee, Yonghae, et al.
Published: (2025)

Quantum Circuit Representation of Combinatorial Matrix Functions
by: Kang, Minhyeok, et al.
Published: (2026)

Classical simulation of non-Gaussian fermionic circuits
by: Dias, Beatriz, et al.
Published: (2023)

Classical simulation of non-Gaussian bosonic circuits
by: Dias, Beatriz, et al.
Published: (2024)

Generative modeling with Gaussian Boson Sampling: classically trainable Bosonic Born Machines
by: Kolarovszki, Zoltán, et al.
Published: (2026)

Quantum computational advantage of noisy boson sampling with partially distinguishable photons
by: Go, Byeongseon, et al.
Published: (2025)

On computational complexity and average-case hardness of shallow-depth boson sampling
by: Go, Byeongseon, et al.
Published: (2024)

Complexity phase transition for continuous-variable cluster state
by: Go, Byeongseon, et al.
Published: (2026)

TETRIS-ADAPT-VQE: An adaptive algorithm that yields shallower, denser circuit ansätze
by: Anastasiou, Panagiotis G., et al.
Published: (2022)

Classical analog circuit emulation of quantum Grover search algorithm
by: Feldman, Samuel, et al.
Published: (2025)

Mid-circuit measurement as an algorithmic primitive
by: Lemelin, Antoine, et al.
Published: (2025)

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

All-optical Loss-tolerant Distributed Quantum Sensing
by: Nehra, Rajveer, et al.
Published: (2024)

Exploring Shallow-Depth Boson Sampling: Towards Scalable Quantum Supremacy
by: Go, Byeongseon, et al.
Published: (2023)

Nondestructive discrimination of Bell states between distant parties
by: Bilash, Bohdan, et al.
Published: (2023)

Hypergraphic representation for adaptive quantum circuits
by: Cambiucci, Waldemir, et al.
Published: (2025)

Advancing quantum imaging through learning theory
by: Wang, Yunkai, et al.
Published: (2025)

Classically computing performance bounds on depolarized quantum circuits
by: Mishra, Sattwik Deb, et al.
Published: (2023)

Cutoff phenomenon and entropic uncertainty for random quantum circuits
by: Oh, Sangchul, et al.
Published: (2023)

A generalized cycle benchmarking algorithm for characterizing mid-circuit measurements
by: Zhang, Zhihan, et al.
Published: (2024)

Classically estimating observables of noiseless quantum circuits
by: Angrisani, Armando, et al.
Published: (2024)

State complexity and phase identification in adaptive quantum circuits
by: Liu, Guoding, et al.
Published: (2025)

Noise-adapted recovery circuits for quantum error correction
by: Biswas, Debjyoti, et al.
Published: (2023)

Classical circuits can simulate quantum aspects
by: Caruso, M.
Published: (2022)