
A classical computer does not allow to calculate a discrete cosine transform on N points in less than linear time. This trivial lower bound is no longer valid for a computer that takes advantage of quantum mechanical superposition, entanglement, and interference principles. In fact, we show that it is possible to realize the discrete cosine transforms and the discrete sine transforms of size NxN and types I,II,III, and IV with as little as O(log^2 N) operations on a quantum computer, whereas the known fast algorithms on a classical computer need O(N log N) operations.
5 pages, LaTeX 2e, IEEE ISPA01, Pula, Croatia, 2001
ddc:004, FOS: Computer and information sciences, Quantum Physics, Emerging Technologies (cs.ET), DATA processing & computer science, Computer Science - Emerging Technologies, FOS: Physical sciences, Quantum Physics (quant-ph), info:eu-repo/classification/ddc/004, 004
ddc:004, FOS: Computer and information sciences, Quantum Physics, Emerging Technologies (cs.ET), DATA processing & computer science, Computer Science - Emerging Technologies, FOS: Physical sciences, Quantum Physics (quant-ph), info:eu-repo/classification/ddc/004, 004
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 32 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
