136 citations · 360 across the 45 of their papers we have counts for
5 papers · 1 filter
High-quality Thermal Gibbs Sampling with Quantum Annealing Hardware
Jon Nelson, Marc Vuffray, Andrey Y. Lokhov +2
Quantum Annealing (QA) was originally intended for accelerating the solution of combinatorial optimization tasks that have natural encodings as Ising models. However, recent experi…
Single-Qubit Cross Platform Comparison of Quantum Computing Hardware
Adrien Suau, Jon Nelson, Marc Vuffray +3
As a variety of quantum computing models and platforms become available, methods for assessing and comparing the performance of these devices are of increasing interest and importa…
Single-Qubit Fidelity Assessment of Quantum Annealing Hardware
Jon Nelson, Marc Vuffray, Andrey Y. Lokhov +1
As a wide variety of quantum computing platforms become available, methods for assessing and comparing the performance of these devices are of increasing interest and importance. I…
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics
Arkopal Dutt, Andrey Y. Lokhov, Marc Vuffray +1
The usual setting for learning the structure and parameters of a graphical model assumes the availability of independent samples produced from the corresponding multivariate probab…
Learning Continuous Exponential Families Beyond Gaussian
Christopher X. Ren, Sidhant Misra, Marc Vuffray +1
We address the problem of learning of continuous exponential family distributions with unbounded support. While a lot of progress has been made on learning of Gaussian graphical mo…