Quantum computing algorithm

Superior data transmission speed and storage via quantum Fourier transform

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Scientists at the Army Research Laboratory developed a quantum computing system and method for transmission and reconstruction of highly-compressed data sets. The patented technology is available via license agreement to companies that would make, use, or sell it commercially.

ARL’s quantum computing system transmits highly-compressed voice, image, video, and holographic signals. (Image Credit: Kristián Valčo on Pixabay)

While quantum computing holds the prospect of rendering classically intractable computations feasible and open communication bandwidth to near-infinite levels, difficulties persist in preserving quantum coherence and developing quantum computing algorithms. Despite theoretical calculations showing enormous efficiency increases for quantum computers over classical computers, such improvements have not been forthcoming in practice. Transmission of highly compressed voice, image, video, and holographic signals based on quantum computing algorithms would impact nearly every field of human endeavor.

ARL researchers have invented a system and method for the transmission and reconstruction of a data set through the employ of a quantum Fourier transform (QFT) operation on qubits coding the data set. This method for data compression and transmission also works on standard computers although without the superior speed and information storage properties of qubits on quantum computers. While the technique was demonstrated for sound data, the system is equally well suited for images, videos, holograms, digital instrument outputs, and numerical streams.

This data communication system operates on quantum computation principles and includes a light source. A nonlinear crystal entangles the photon output which is then assigned an arbitrarily oriented polarization state by passing through both a polarization and a phase modulator. A polarization interferometer initiates a controlled phase shift transform, and a halfway plate then performs a quantum Hadamard gate transform to generate one of two possible photon states from the interferometer output, thus completing a quantum Fourier transform. Coincidence electronics reconstruct the input data set at a distance from the light source, based on the coincident arrival of one of two possible photon states and at least one of the entangled photon outputs or the interferometer output.

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