Quantum Simulation
3,812 papers for year 2026
Quantum Simulation Research Context
This category collects papers on quantum simulation methods for chemistry, materials, many-body systems, condensed matter, and physics models.
Showing 1765-1776 of 3,812
Lattice Quantization of Free Fermions without Doublers
Mario A. Serna, Paul M. Alsing
Lattice surgery for near-term experimental logical qubit entanglement creation in planar architectures
Lukas Bödeker, Áron Márton, Luis Colmenarez, Ilya Besedin, Andreas Wallraff, Markus Müller
Layered Quantum Architecture Search for 3D Point Cloud Classification
Natacha Kuete Meli, Jovita Lukasik, Vladislav Golyanik, Michael Moeller
LEAD: A Local Ensemble-Assisted Parallel Decoding Framework for Quantum Tanner Codes
Zhuo-Yan Xiao, Sha Shi, Chen-Peng Huang, Dong-Sheng Wang, Yun-Jiang Wang
Learnable yet not simulable: a quantum resource theory of learning models
Xinbiao Wang, Yuxuan Du, Dacheng Tao
Learning Hamiltonians in the Heisenberg limit with static single-qubit fields
Shrigyan Brahmachari, Shuchen Zhu, Iman Marvian, Yu Tong
Learning high-dimensional quantum entanglement through physics-guided neural networks
Yang Xu, Hao Zhang, Wenwen Zhang, Luchang Niu, Girish Kulkarni, Mahtab Amooei, Sergio Carbajo, Robert W. Boyd
Learning Inhomogeneous Heisenberg Hamiltonians in Nanographene Spin Chains
Greta Lupi, Saketh Ravuri, Chenxiao Zhao, Weidan Zhang, Cesare Roncaglia, Renxiang Liu, Xinliang Feng, Daniele Passerone, Pascal Ruffieux, Roman Fasel, Jose L. Lado, Gonçalo Catarina
Learning Quantum-Samplers for Stochastic Processes with Quantum Sequence Models
Ximing Wang, Chengran Yang, Chidambaram Aditya Somasundaram, Jayne Thompson, Mile Gu
Learning the closest Slater determinant
Nisarga Paul, Haimeng Zhao, David D. Dai
Learning to Concatenate Quantum Codes
Nico Meyer, Christopher Mutschler, Dominik Seuß, Andreas Maier, Daniel D. Scherer
Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation
Alfred M. Pastor, Maribel Castillo, Jose M. Badia