2 citations · 2 across the 15 of their papers we have counts for
5 papers · 1 filter
Unbiased sampling from Boltzmann distributions with noisy energies
Iwo Sanderski, Gian Gentinetta, Giuseppe Carleo
Sampling from the Boltzmann distribution is central to computational physics, yet hard when the energy is known only through a stochastic estimate, such as with machine-learned mol…
Quantum Finite Temperature Lanczos Method
Gian Gentinetta, Friederike Metz, William Kirby +1
The computation of thermal properties of quantum many-body systems is a central challenge in our understanding of quantum mechanics. We introduce the Quantum Finite Temperature Lan…
Quantum simulation in the Heisenberg picture via vectorization
Shao-Hen Chiew, Armando Angrisani, Zoë Holmes +1
We present a general framework for simulating quantum systems in the Heisenberg picture on quantum hardware. Based on the vectorization map, our framework fully exploits the mappin…
Grassmann Variational Monte Carlo with neural wave functions
Douglas Hendry, Alessandro Sinibaldi, Giuseppe Carleo
Excited states play a central role in determining the physical properties of quantum matter, yet their accurate computation in many-body systems remains a formidable challenge for…
A circuit-differentiation framework for Green's functions on quantum computers
Samuele Piccinelli, Francesco Tacchino, Ivano Tavernelli +1
We propose a general framework for computing Retarded Green's Functions (RGFs) on quantum computers by recasting their evaluation as a problem of circuit differentiation. Our propo…