Wilde, Frederik

1. Stochastic noise can be helpful for variational quantum algorithms
   2022/10/13 by Junyu Liu, Liu, Junyu, Frederik Wilde +8 · 6 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Quantum Physics (quant-ph) #Stochastic Gradient Optimization Techniques #Theoretical and Computational Physics
2. Scalably learning quantum many-body Hamiltonians from dynamical data
   2022/09/28 by Wilde, Frederik, Kshetrimayum, Augustine, Roth, Ingo +3 · 3 citations
   #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Gases (cond-mat.quant-gas) #Quantum Physics (quant-ph) #Strongly Correlated Electrons (cond-mat.str-el)
3. Learning topological states from randomized measurements using variational tensor network tomography
   2024/05/31 by Yanting Teng, Rhine Samajdar, Teng, Yanting +13 · 3 citations
   Computer Science · Medicine · Physics and Astronomy · #Advanced Neuroimaging Techniques and Applications #Atomic and Subatomic Physics Research #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML) #Quantum Physics (quant-ph) #Strongly Correlated Electrons (cond-mat.str-el) #Topological and Geometric Data Analysis