7.2k citations · 31.9k across the 100 of their papers we have counts for
5 papers · 1 filter
Chemical Basis of Trotter-Suzuki Errors in Quantum Chemistry Simulation
Ryan Babbush, Jarrod McClean, Dave Wecker +2
Although the simulation of quantum chemistry is one of the most anticipated applications of quantum computing, the scaling of known upper bounds on the complexity of these algorith…
Exploiting locality in quantum computation for quantum chemistry
Jarrod R. McClean, Ryan Babbush, Peter J. Love +1
Accurate prediction of chemical and material properties from first principles quantum chemistry is a challenging task on traditional computers. Recent developments in quantum compu…
Bayesian Network Structure Learning Using Quantum Annealing
Bryan O'Gorman, Alejandro Perdomo-Ortiz, Ryan Babbush +2
We introduce a method for the problem of learning the structure of a Bayesian network using the quantum adiabatic algorithm. We do so by introducing an efficient reformulation of a…
Construction of non-convex polynomial loss functions for training a binary classifier with quantum annealing
Ryan Babbush, Vasil Denchev, Nan Ding +2
Quantum annealing is a heuristic quantum algorithm which exploits quantum resources to minimize an objective function embedded as the energy levels of a programmable physical syste…
Quantum Simulation of Helium Hydride in a Solid-State Spin Register
Ya Wang, Florian Dolde, Jacob Biamonte +8
\emph{Ab initio} computation of molecular properties is one of the most promising applications of quantum computing. While this problem is widely believed to be intractable for cla…