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Separate addressing of individual qubits is a challenging requirement for scalable quantum computation, and crosstalk between operations on neighboring qubits remains a significant source of error for...
Secure computation (SC) stands for a group of technologies for computing functions of private inputs, while keeping the inputs themselves hidden. The canonical example of secure computation is the m...
We provide a symbolic model for multi-party computation based on linear secret-sharing scheme, and prove that this model is computationally sound: if there is an attack in the computational world, t...
DNA computing is a discipline that aims at harnessing individual molecules at the nano-scopic level for computational purposes. Computation with DNA molecules possesses an inherent interest for resear...
As the number of scientific disciplines has increased, the large data collections are emerging as important community resources. In domains as high energy physics, and computational genomic, the volum...
The current work focuses on applying an arti cial viscosity approach to the Spectral Di erence (SD) method to enable high-order computation of compressible uid ows with discontinuities. The study modi...
In 1983, Aldous proved that randomization can speedup local search. For example, it reduces the query complexity of local search over grid [1 : n]d from Θ(nd−1) to O(d1/2nd/2). It remains open w...
This paper proposes a performance metrics and a real-time scheduling algorithm based on imprecise computation workload model for delivery of scalable streaming media, which can be adapted to network ...

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