825 citations · 2.8k across the 22 of their papers we have counts for
4 papers · 1 filter
QuCumber: wavefunction reconstruction with neural networks
Matthew J. S. Beach, Isaac De Vlugt, Anna Golubeva +6
As we enter a new era of quantum technology, it is increasingly important to develop methods to aid in the accurate preparation of quantum states for a variety of materials, matter…
Reconstructing quantum states with generative models
Juan Carrasquilla, Giacomo Torlai, Roger G. Melko +1
A major bottleneck in the quest for scalable many-body quantum technologies is the difficulty in benchmarking their preparations, which suffer from an exponential `curse of dimensi…
Schmidt gap in random spin chains
Giacomo Torlai, Kenneth D. McAlpine, Gabriele De Chiara
We numerically investigate the low-lying entanglement spectrum of the ground state of random one-dimensional spin chains obtained after partition of the chain into two equal halves…
Latent Space Purification via Neural Density Operators
Giacomo Torlai, Roger G. Melko
Machine learning is actively being explored for its potential to design, validate, and even hybridize with near-term quantum devices. A central question is whether neural networks…