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arXiv:2407.07609 · Physical Review A

Continuous-variable dense coding under realistic nonideal scenarios

Mrinmoy Samanta, Ayan Patra, Rivu Gupta, Aditi Sen De

Published Aug 7, 2026• 1 citation
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Abstract

We analyze the continuous variable (CV) dense coding protocol between a single sender and a single receiver when affected by noise in the shared and encoded states, as well as when the decoding is imperfect. We present a formalism to derive the dense coding capacity (DCC) of generic two-mode Gaussian states when affected by Gaussian noise models. When the constituent modes are affected by quantum-limited amplifiers, pure-loss channels, and environmental interactions, together with an inefficient decoding mechanism comprising imperfect double-homodyne detection, we specifically investigate the performance of the two-mode squeezed vacuum state (TMSV) by varying the strength of the noise. Through numerical simulations, we further show that the negative conditional entropy may be used to assess the quantum advantage of CV dense coding in Gaussian setups. While comparing the TMSV with other Gaussian states, we identify a class of pure Gaussian states capable of furnishing a capacity equal to that of the TMSV, under equal energy constraints in the ideal regime. Further, we demonstrate that, while the TMSV state is more susceptible to noise, it still provides the maximum quantum advantage in the DC protocol under practical conditions.

DOI
10.1103/b2xp-5w9p

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We analyze the continuous variable (CV) dense coding protocol between a single sender and a single receiver when affected by noise in the shared and encoded states, as well as when the decoding is imperfect. We present a formalism to derive the dense coding capacity (DCC) of generic two-mode Gaussian states when affected by Gaussian noise models. When the constituent modes are affected by quantum-limited amplifiers, pure-loss channels, and environmental interactions, together with an inefficient decoding mechanism comprising imperfect double-homodyne detection, we specifically investigate the performance of the two-mode squeezed vacuum state (TMSV) by varying the strength of the noise. Through numerical simulations, we further show that the negative conditional entropy may be used to assess the quantum advantage of CV dense coding in Gaussian setups. While comparing the TMSV with other Gaussian states, we identify a class of pure Gaussian states capable of furnishing a capacity equal to that of the TMSV, under equal energy constraints in the ideal regime. Further, we demonstrate that, while the TMSV state is more susceptible to noise, it still provides the maximum quantum advantage in the DC protocol under practical conditions.
We present a framework of a multimode dense coding network with multiple senders and a single receiver using continuous variable systems. The protocol is scalable to arbitrary numbers of modes with the encoding being displacements while the decoding involves homodyne measurements of the modes after they are combined in a pairwise manner by a sequence of beam splitters, thereby exhibiting its potentiality to implement in laboratories with currently available resources. We compute the closed form expression of the dense coding capacity for the cases of two and three senders that involve sharing of three- and four-mode states, respectively. The dense coding capacity is computed with the constraint of fixed average energy transmission when the modes of the sender are transferred to the receiver after the encoding operation. In both the cases, we demonstrate the quantum advantage of the protocol using paradigmatic classes of three- and four-mode states. The quantum advantage increases with the increase in the amount of energy that is allowed to be transmitted from the senders to the receiver.
We study a continuous-variable dense coding protocol, originally proposed to employ a two-mode squeezed state, using a general two-mode Gaussian state as a quantum channel. We particularly obtain conditions to manifest quantum advantage by beating two well-known single-mode schemes, namely, the squeezed-state scheme (best Gaussian scheme) and the number-state scheme (optimal scheme achieving the Holevo bound). We then extend our study to a multipartite Gaussian state and investigate the monogamy of operational entanglement measured by the communication capacity under the dense coding protocol. We show that this operational entanglement represents a strict monogamy relation, by means of Heisenberg's uncertainty principle among different parties; i.e., the quantum advantage for communication can be possible for only one pair of two-mode systems among many parties.
Quantum dense coding of continuous variables via a two-mode squeezed vacuum state is considered for a noisy quantum channel. Classical information is encoded in the two quadrature components of one mode of a two-mode squeezed vacuum state and the encoded mode is sent through a noisy quantum channel which is assumed to be linearly dissipative. Decoding at the receiver side is performed by simultaneous measurement of two quadrature components of the two-mode state. By calculating the error probability of a binary communication system, we examine whether the dense coding is effective or not when a quantum channel is noisy.
We investigate the distributed dense coding (DC) protocol, involving multiple senders and a single or two receivers under the influence of non-Markovian noise, acting on the encoded qubits transmitted from the senders to the receiver(s). We compare the effects of non-Markovianity on DC for both the dephasing and depolarizing channels. In the case of dephasing channels, we illustrate that for some classes of states, high non-Markovian strength can eradicate the negative influence of noisy channels which is not observed for depolarizing noise. Furthermore, we incorporate randomness into the noise models by replacing the Pauli matrices with random unitaries and demonstrate the constructive impact of stochastic noise models on the quenched averaged dense coding capacity. Interestingly, we report that the detrimental effect of non-Markovian depolarizing channels in the DC protocol can be eliminated when randomness is added to the channel.
We investigate the effect of noisy channels in a classical information transfer through a multipartite state which acts as a substrate for the distributed quantum dense coding protocol between several senders and two receivers. The situation is qualitatively different from the case with one or more senders and a single receiver. We obtain an upper bound on the multipartite capacity which is tightened in the case of the covariant noisy channel. We also establish a relation between the genuine multipartite entanglement of the shared state and the capacity of distributed dense coding using that state, both in the noiseless and the noisy scenarios. Specifically, we find that, in the case of multiple senders and two receivers, the corresponding generalized Greenberger-Horne-Zeilinger states possess higher dense coding capacities as compared to a significant fraction of pure states having the same multipartite entanglement.
We study the measurement-induced non-Gaussian operation on the single- and two-mode Gaussian squeezed vacuum states with beam splitters and on-off type photon detectors, with which mixed non-Gaussian states are generally obtained in the conditional process. It is known that the entanglement can be enhanced via this non-Gaussian operation on the two-mode squeezed vacuum state. We show that, in the range of practical squeezing parameters, the conditional outputs are still close to Gaussian states, but their second order variances of quantum fluctuations and correlations are effectively suppressed and enhanced, respectively. To investigate an operational meaning of these states, especially entangled states, we also evaluate the quantum dense coding scheme from the viewpoint of the mutual information, and we show that non-Gaussian entangled state can be advantageous compared with the original two-mode squeezed state.