A fast quantum mechanical algorithm for database search
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
Using HDLs for describing quantum circuits: a framework for efficient quantum algorithm simulation
Proceedings of the 1st conference on Computing frontiers
Algorithms for quantum computation: discrete logarithms and factoring
SFCS '94 Proceedings of the 35th Annual Symposium on Foundations of Computer Science
Quantum Computation and Quantum Information: 10th Anniversary Edition
Quantum Computation and Quantum Information: 10th Anniversary Edition
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Quantum computers aim to achieve a huge reduction of the time required for solving problems with an exponential complexity, but their simulation in conventional computers results itself on a problem with a similar complexity. As this limits considerably the dimensions of the quantum computer we can simulate, multiprocessor architectures are an almost obliged tool when tackling with such simulations. In this paper we explore the application of the new graphical processor architectures in the simulation of the elementary operators that constitute the basic building blocks of quantum computers. Recently, these GPUs are being used as general purpose multiprocessors, as they demonstrate to possess a floating point computing power larger than classic CPUs. In particular our implementation makes use of the new CUDA software/hardware architecture developed recently by NVIDIA.