… state energy obtained using a convolutional neural network … improve the estimation of spin
structure factor using Lanczos, but the Monte Carlo sampling error makes the improvement …

… state energy obtained using a convolutional neural network … improve the estimation of spin
structure factor using Lanczos, but the Monte Carlo sampling error makes the improvement …

… use of the energy as a loss function and the use of permutation-equivariant layers. From this
analysis, we build a new, improved … We stress that we perform systematic calculations with …

… are systematically reduced, thereby pushing the state towards … Two different designs of
residual neural networks (ResNet), … network 9 , the Gutzwiller wavefunction with two Lanczos …

… of SR for neural-network quantum states, making them a promising method to investigate
unknown quantum … wave functions with symmetry and annealing to improve accuracy. In Fourth …

… which would allow a systematic development of methods that … of NQS, the neural network
architectures used in this study, … to the neural network parameters cannot yield improvements …

… Second is the systematic improvement of the calculations for excited states. It is intriguing
to … In both bands, we observe a systematic deviation, which we attribute to the lack of orbital …

… We show that neural quantum states based on very deep (4–… improved the variational
energies by applying a Lanczos … [73], which systematically studies NQS design choices, including …

… of the ground state; thus, we used the Lanczos method to calculate … improve its efficiency.
Recently, the relation of the … in the physics, a systematic understanding of its validity and …

… is a systematic shift which is reproduced on the QVM using available … QVM or using different
sets of qubits with improved noise characteristics … Below we show how to improve on that. …