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Overcoming barriers to scalability in variational quantum Monte Carlo
[article]
2021
arXiv
pre-print
The variational quantum Monte Carlo (VQMC) method received significant attention in the recent past because of its ability to overcome the curse of dimensionality inherent in many-body quantum systems. Close parallels exist between VQMC and the emerging hybrid quantum-classical computational paradigm of variational quantum algorithms. VQMC overcomes the curse of dimensionality by performing alternating steps of Monte Carlo sampling from a parametrized quantum state followed by gradient-based
arXiv:2106.13308v2
fatcat:upydum5npzcxnjjq6qhblzgf54