The center will unite mathematicians, engineers and computer scientists at Brown, NYU and Georgia Tech to tackle longstanding ...

Modeling and Solving Combinatorial Optimization Problems Using the QUBO Model A surprising development of the last few years has been the emergence of a model, called QUBO (for Quadratic Unconstrained ...

Computer scientists have shown that existing compilers, which tell quantum computers how to use their circuits to execute quantum programs, inhibit the computers' ability to achieve optimal ...

The key to the incredible speed of a quantum computer lies in its ability to fabricate and manipulate quantum bits, or qubits, typically artificial particles such as ions, superconducting oscillators ...

Computer-generated holography (CGH) provides an approach to digitally modulate a given wavefront. This technology, partly inherited from optical holography and partly advanced by the progress of ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

This course introduces high-performance computing (“HPC”) systems, software, and methods used to solve large-scale problems in science and engineering. It will focus on the intersection of two ...

This specialized computation method "makes it a special-purpose "steady-state finder" for certain AI and optimization ... purpose computer," Aydogan Ozcan, an optical computing researcher at UCLA who ...