field quantum Monte Carlo by applying automatic differentiation (AD). Biases and statistical
efficiency of the resulting estimators are discussed. Our approach demonstrates that AD
enables the calculation of reduced density matrices with the same computational cost
scaling per sample as energy calculations, accompanied by a cost prefactor of less than four
in our numerical calculations. We investigate the role of self-consistency and trial orbital …