45 citations · 45 across the 1 of their papers we have counts for
4 papers
Boltzmann machines as two-dimensional tensor networks
Sujie Li, Feng Pan, Pengfei Zhou +1
Restricted Boltzmann machines (RBM) and deep Boltzmann machines (DBM) are important models in machine learning, and recently found numerous applications in quantum many-body physic…
Simulating the Sycamore quantum supremacy circuits
Feng Pan, Pan Zhang
We propose a general tensor network method for simulating quantum circuits. The method is massively more efficient in computing a large number of correlated bitstring amplitudes an…
Contracting Arbitrary Tensor Networks: General Approximate Algorithm and Applications in Graphical Models and Quantum Circuit Simulations
Feng Pan, Pengfei Zhou, Sujie Li +1
We present a general method for approximately contracting tensor networks with an arbitrary connectivity. This enables us to release the computational power of tensor networks to w…
Solving Statistical Mechanics on Sparse Graphs with Feedback Set Variational Autoregressive Networks
Feng Pan, Pengfei Zhou, Hai-Jun Zhou +1
We propose a method for solving statistical mechanics problems defined on sparse graphs. It extracts a small Feedback Vertex Set (FVS) from the sparse graph, converting the sparse…