Quantum Simulation
13,277 papers
Quantum Simulation Research Context
This category collects papers on quantum simulation methods for chemistry, materials, many-body systems, condensed matter, and physics models.
Showing 1705-1716 of 13,277
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
Lee-Yang tensors and Hamiltonian complexity
Benjamin Wong, Sergey Bravyi, David Gosset, Yinchen Liu
Les Houches lectures on random quantum circuits and monitored quantum dynamics
Romain Vasseur
Let the Qudit Do the Jacobi: A Structured Quantum Algorithm for Spectral Decomposition
A. Mandilara