211 citations · 1.1k across the 36 of their papers we have counts for
5 papers · 1 filter
Ab-initio quantum chemistry with neural-network wavefunctions
Jan Hermann, James Spencer, Kenny Choo +5
Machine learning and specifically deep-learning methods have outperformed human capabilities in many pattern recognition and data processing problems, in game playing, and now also…
Exact and efficient Lanczos method on a quantum computer
William Kirby, Mario Motta, Antonio Mezzacapo
We present an algorithm that uses block encoding on a quantum computer to exactly construct a Krylov space, which can be used as the basis for the Lanczos method to estimate extrem…
Entanglement Forging with generative neural network models
Patrick Huembeli, Giuseppe Carleo, Antonio Mezzacapo
The optimal use of quantum and classical computational techniques together is important to address problems that cannot be easily solved by quantum computations alone. This is the…
Expressivity of Variational Quantum Machine Learning on the Boolean Cube
Dylan Herman, Rudy Raymond, Muyuan Li +3
Categorical data plays an important part in machine learning research and appears in a variety of applications. Models that can express large classes of real-valued functions on th…
Analytic theory for the dynamics of wide quantum neural networks
Junyu Liu, Khadijeh Najafi, Kunal Sharma +3
Parameterized quantum circuits can be used as quantum neural networks and have the potential to outperform their classical counterparts when trained for addressing learning problem…