87 citations · 188 across the 8 of their papers we have counts for
10 papers · 1 filter
Quantum computing hardware for HEP algorithms and sensing
M. Sohaib Alam, Sergey Belomestnykh, Nicholas Bornman +37
Quantum information science harnesses the principles of quantum mechanics to realize computational algorithms with complexities vastly intractable by current computer platforms. Ty…
Entanglement Across Separate Silicon Dies in a Modular Superconducting Qubit Device
Alysson Gold, JP Paquette, Anna Stockklauser +15
Assembling future large-scale quantum computers out of smaller, specialized modules promises to simplify a number of formidable science and engineering challenges. One of the prima…
Quantum Integer Programming (QuIP) 47-779: Lecture Notes
David E. Bernal, Sridhar Tayur, Davide Venturelli
This lecture series on Quantum Integer Programming (QuIP) -- created by Professor Sridhar Tayur, David E. Bernal, and Dr. Davide Venturelli, a collaboration between CMU and USRA, w…
Quantum annealing speedup of embedded problems via suppression of Griffiths singularities
Sergey Knysh, Eugeniu Plamadeala, Davide Venturelli
Optimal parameter setting for applications problems embedded into hardware graphs is key to practical quantum annealers (QA). Embedding chains typically crop up as harmful Griffith…
Planning for Compilation of a Quantum Algorithm for Graph Coloring
Minh Do, Zhihui Wang, Bryan O'Gorman +3
The problem of compiling general quantum algorithms for implementation on near-term quantum processors has been introduced to the AI community. Previous work demonstrated that temp…
Integer programming techniques for minor-embedding in quantum annealers
David E. Bernal, Kyle E. C. Booth, Raouf Dridi +3
A major limitation of current generations of quantum annealers is the sparse connectivity of manufactured qubits in the hardware graph. This technological limitation generated cons…