Communications of the ACM
Research Archive
The Research archive provides access to all Research articles published in past issues of Communications of the ACM.
December 2010
From Communications of the ACM
Technical Perspective: QIP = PSPACE Breakthrough
It is now clear that for a wide range of problems, quantum computers offer little or no advantage over their classical counterparts.
From Communications of the ACM
Technical Perspective: Iterative Signal Recovery From Incomplete Samples
You are given a large set of data values, and you are requested to compress, clean, recover, recognize, and/or predict it. Sounds familiar? This is the…
From Communications of the ACM
QIP = PSPACE
The collection of computational problems having quantum interactive proof systems consists precisely of those problems solvable with an ordinary classical computer using at most a polynomial amount of memory (or QIP = PSPACE …
From Communications of the ACM
CoSaMP: Iterative Signal Recovery From Incomplete and Inaccurate Samples
Compressive sampling (CoSa) is a new paradigm for developing data sampling technologies. The main computational challenge in CoSa is to reconstruct a compressible signal from the reduced representation acquired by the sampling…