13,436 research outputs found

    Virtual Reality Rhythm Game

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    Virtual reality headsets such as the HTC Vive and Oculus Rift bring robust virtual reality technology in the hands of consumers. However, virtual reality technology is still a very new and unexplored domain with a dearth of compelling software that takes advantage of what virtual reality has to offer. Current rhythm games on the virtual reality platform lack a sense of immersion for the player. These games also require players to remain stationary during gameplay. Our solution is a game where players have to hit musical notes that appear in a trail around them. The trail will move in different directions and players have to move and turn around accordingly in order to hit every note and pass a song

    Entanglement Increases the Error-Correcting Ability of Quantum Error-Correcting Codes

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    If entanglement is available, the error-correcting ability of quantum codes can be increased. We show how to optimize the minimum distance of an entanglement-assisted quantum error-correcting (EAQEC) code, obtained by adding ebits to a standard quantum error-correcting code, over different encoding operators. By this encoding optimization procedure, we found several new EAQEC codes, including a family of [[n, 1, n; n-1]] EAQEC codes for n odd and code parameters [[7, 1, 5; 2]], [[7, 1, 5; 3]], [[9, 1, 7; 4]], [[9, 1, 7; 5]], which saturate the quantum singleton bound for EAQEC codes. A random search algorithm for the encoding optimization procedure is also proposed.Comment: 39 pages, 10 table

    The Encoding and Decoding Complexities of Entanglement-Assisted Quantum Stabilizer Codes

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    Quantum error-correcting codes are used to protect quantum information from decoherence. A raw state is mapped, by an encoding circuit, to a codeword so that the most likely quantum errors from a noisy quantum channel can be removed after a decoding process. A good encoding circuit should have some desired features, such as low depth, few gates, and so on. In this paper, we show how to practically implement an encoding circuit of gate complexity O(n(n−k+c)/log⁡n)O(n(n-k+c)/\log n) for an [[n,k;c]][[n,k;c]] quantum stabilizer code with the help of cc pairs of maximally-entangled states. For the special case of an [[n,k]][[n,k]] stabilizer code with c=0c=0, the encoding complexity is O(n(n−k)/log⁡n)O(n(n-k)/\log n), which is previously known to be O(n2/log⁡n)O(n^2/\log n). For c>0,c>0, this suggests that the benefits from shared entanglement come at an additional cost of encoding complexity. Finally we discuss decoding of entanglement-assisted quantum stabilizer codes and extend previously known computational hardness results on decoding quantum stabilizer codes.Comment: accepted by the 2019 IEEE International Symposium on Information Theory (ISIT2019
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