Continuous-Variable MIMO THz Quantum Secret Sharing: Gaussian-modulation and Passive-modulation

• URL: http://arxiv.org/abs/2607.08158v1
• Date: Thu, 09 Jul 2026 06:51:15 GMT
• Title: Continuous-Variable MIMO THz Quantum Secret Sharing: Gaussian-modulation and Passive-modulation
• Abstract summary: Quantum secret sharing (QSS) is proposed to enable secure multiparty key sharing.<n>Most existing QSS protocols rely on a single-input single-output (SISO) channel, which limits the achievable secret key rate (SKR) and transmission distance.<n>This paper proposes a continuous-variable (CV)S protocol based on a multiple-input multiple-output (MIMO) architecture operating in the terahertz (THz) band.
• Score: 8.61803162905257
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Although quantum key distribution (QKD) enables information-theoretically secure key distribution, it is mainly designed for point-to-point communication and cannot directly support multi-user collaborative scenarios. To address this limitation, quantum secret sharing (QSS) has been proposed to enable secure multiparty key sharing. However, most existing QSS protocols rely on a single-input single-output (SISO) channel, which limits the achievable secret key rate (SKR) and transmission distance. This paper proposes a continuous-variable (CV) QSS protocol based on a multiple-input multiple-output (MIMO) architecture operating in the terahertz (THz) band. In the proposed scheme, transmit-receive beamforming decomposes the MIMO channel into multiple parallel SISO subchannels, thereby improving both the SKR and transmission distance. We describe the QSS transmission procedure and derive the SKR expressions for eight protocol variants under Gaussian collective attacks. Specifically, Gaussian modulation and passive modulation are considered at the transmitter, while homodyne and heterodyne detection are considered at the receiver. Both asymptotic and composable finite-size SKR formulas are derived to characterize the ideal upper-bound performance and the achievable performance under finite resources, respectively. Simulation results show that, under ideal assumptions including perfect channel state information, perfect phase synchronization, and ideal beamforming, the Gaussian-modulation protocol with a 32 x 32 antenna configuration and the passive-modulation protocol with a 1024 x 1024 antenna configuration achieve transmission distances of 14.99 m and 160 m in the atmospheric channel, respectively. These results provide an idealized theoretical benchmark for evaluating the potential performance gains of MIMO-assisted THz CV-QSS in indoor and short-range outdoor wireless networks.

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