:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Zanger, Daniel Z.
Format:	Preprint
Published:	2023
Subjects:	Quantum Physics
Online Access:	https://arxiv.org/abs/2310.15576
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms
by: Lee, Junyong, et al.
Published: (2025)

Complexity of Quadratic Quantum Chaos
by: Basu, Pallab, et al.
Published: (2025)

Enhancing Quantum Algorithms for Quadratic Unconstrained Binary Optimization via Integer Programming
by: Wagner, Friedrich, et al.
Published: (2023)

Improving Quantum Optimization to Achieve Quadratic Time Complexity
by: Jiang, Ji, et al.
Published: (2025)

Optimization of Quadratic Constraints by Decoded Quantum Interferometry
by: Hillel, Daniel Cohen
Published: (2025)

Universal Sample Complexity Bounds in Quantum Learning Theory via Fisher Information Matrix
by: Kwon, Hyukgun, et al.
Published: (2026)

On the Sample Complexity of Quantum Boltzmann Machine Learning
by: Coopmans, Luuk, et al.
Published: (2023)

Warm Start of Variational Quantum Algorithms for Quadratic Unconstrained Binary Optimization Problems
by: Chai, Yahui, et al.
Published: (2024)

Quantum Error Mitigation for Sampling Algorithms
by: Liu, Kecheng, et al.
Published: (2025)

Sampling-based Quantum Optimization Algorithm with Quantum Relaxation
by: Matsuyama, Hiromichi, et al.
Published: (2025)

Symmetries and Dimension Reduction in Quantum Approximate Optimization Algorithm
by: Tsvelikhovskiy, Boris, et al.
Published: (2023)

Quantum Advantage via Solving Multivariate Quadratics
by: Briaud, Pierre, et al.
Published: (2024)

Approximate Quadratization of High-Order Hamiltonians for Combinatorial Quantum Optimization
by: Drăgoi, Sabina, et al.
Published: (2025)

Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms
by: Wanner, Marc, et al.
Published: (2024)

Efficient Quantum Agnostic Improper Learning of Decision Trees
by: Chatterjee, Sagnik, et al.
Published: (2022)

Quadratic Continuous Quantum Optimization
by: Mücke, Sascha, et al.
Published: (2025)

Assessing Quantum and Classical Approaches to Combinatorial Optimization: Testing Quadratic Speed-ups for Heuristic Algorithms
by: Costa, Pedro C. S., et al.
Published: (2024)

Provable and Verifiable Quantum Advantage in Sample Complexity
by: Benedetti, Marcello, et al.
Published: (2025)

Improving Quantum Machine Learning via Heat-Bath Algorithmic Cooling
by: Rodríguez-Briones, Nayeli A., et al.
Published: (2025)

An Improved Quantum Algorithm of the Multislice Method
by: Wang, Y. C., et al.
Published: (2024)

Efficient Quantum Protein Structure Prediction with Problem-Agnostic Ansatzes
by: Linn, Hanna, et al.
Published: (2025)

Exploring Quantum Control Landscape and Solution Space Complexity through Dimensionality Reduction & Optimization Algorithms
by: Fentaw, Haftu W., et al.
Published: (2025)

Resource-Optimal Importance Sampling for Randomized Quantum Algorithms
by: Cugini, Davide, et al.
Published: (2026)

Iteration Complexity of Variational Quantum Algorithms
by: Kungurtsev, Vyacheslav, et al.
Published: (2022)

Quantum Approaches to the Quadratic Assignment Problem
by: Daly, Nathan, et al.
Published: (2025)

Quadratic Quantum Speedup for Perceptron Training
by: Liao, Pengcheng, et al.
Published: (2021)

An Exponential Sample-Complexity Advantage for Coherent Quantum Inference
by: Li, Zhaoyi, et al.
Published: (2026)

Unitary Quadratic Quantum Gravity in 4D
by: Kumar, K. Sravan, et al.
Published: (2026)

Quantum-Centric Algorithm for Sample-Based Krylov Diagonalization
by: Yu, Jeffery, et al.
Published: (2025)

Eliminating Vendor Lock-In in Quantum Machine Learning via Framework-Agnostic Neural Networks
by: Kumaresan, Poornima, et al.
Published: (2026)

A Reduction Algorithm for Cosmological Correlators: Cuts, Contractions, and Complexity
by: Grimm, Thomas W., et al.
Published: (2025)

Quadratically Shallow Quantum Circuits for Hamiltonian Functions
by: Park, Youngjun, et al.
Published: (2025)

Quantum optimisation applied to the Quadratic Assignment Problem
by: Freeland, Andrew, et al.
Published: (2026)

Complexity-Theoretic Limitations on Quantum Algorithms for Topological Data Analysis
by: Schmidhuber, Alexander, et al.
Published: (2022)

Quadratic Quantum Polarimetry with Entangled Photon Pairs
by: Ren, Jinliang, et al.
Published: (2026)

Quantum Algorithm for Apprenticeship Learning
by: Ambainis, Andris, et al.
Published: (2025)

Sampling Frequency Thresholds for Quantum Advantage of Quantum Approximate Optimization Algorithm
by: Lykov, Danylo, et al.
Published: (2022)

Towards Optimizing the Expected Performance of Sampling-Based Quantum-Inspired Algorithms
by: Cha, Hyunho, et al.
Published: (2025)

LWE with Quantum Amplitudes: Algorithm, Hardness, and Oblivious Sampling
by: Chen, Yilei, et al.
Published: (2023)

Linear-Quadratic GUP and Thermodynamic Dimensional Reduction
by: Ramezani, H., et al.
Published: (2024)