377 citations
- Tufts UniversityUS12 papers
- University of YorkGB5 papers
- Massachusetts Institute of TechnologyUS3 papers
- Cambridge Quantum Computing (United Kingdom)GB2 papers
- Idaho State UniversityUS2 papers
- IonQ (United States)US2 papers
- Laboratoire de Physique Théorique de la Matière CondenséeFR2 papers
- University College LondonGB2 papers
- Zapata (United States)US2 papers
- Ames Research CenterUS1 paper
- Beth Israel Deaconess HospitalUS1 paper
- Beth Israel Deaconess Medical CenterUS1 paper
Showing 2018Show all
3 papers · 1 filter
quant-ph2018★ 217 cited
Training of Quantum Circuits on a Hybrid Quantum Computer
D. Zhu, N. M. Linke, M. Benedetti +10
Generative modeling is a flavor of machine learning with applications ranging from computer vision to chemical design. It is expected to be one of the techniques most suited to tak…
math.GT2018★ 4 cited
Contractible open manifolds which embed in no compact, locally connected and locally 1-connected metric space
Shijie Gu
This paper pays a visit to a famous contractible open 3-manifold proposed by R. H. Bing in 1950's. By the finiteness theorem \cite{Hak68}, Haken proved that can embed i…
quant-ph2018★ 377 cited
A generative modeling approach for benchmarking and training shallow quantum circuits
Marcello Benedetti, Delfina Garcia-Pintos, Oscar Perdomo +3
Hybrid quantum-classical algorithms provide ways to use noisy intermediate-scale quantum computers for practical applications. Expanding the portfolio of such techniques, we propos…