Stronger correlations than dense coding with the same quantum resources

Dense coding is the seminal example of how entanglement can boost quantum communication. By sharing an Einstein-Podolsky-Rosen (EPR) pair, dense coding allows one to transmit two bits of classical information while sending only a single qubit [1]. This doubling of the channel capacity is the largest allowed in quantum theory [2]. In this letter we show in both theory and experiment that same elementary resources, namely a shared EPR pair and qubit communication, are strictly more powerful than two classical bits in more general communication tasks. In contrast to dense coding experiments [3–8], we show that these advantages can be revealed using merely standard optical Bell state analysers [9, 10]. Our results reveal that the power of entanglement in enhancing quantum communications qualitatively goes beyond boosting channel capacities.

A Novel Quantum Communication Protocol and its Simulation in IBM Quantum Simulator

The paper gives the demonstrates of quantum super dense protocol and its related. Firstly, Qiskit's simulator is used to set-up and run the proposed quantum circuit, and then IBM quantum computer will be used to run the circuit for evaluation. In addition, we also introduce the two types of attacks which are possible on communication system and its simulation on IBM quantum computer via using quantum super dense protocol. The main findings are discussed in the wider setting of quantum cyber-security, where ways of hacking including the role of insider threats are discussed. Keywords—Quantum information, Quantum communication protocol, Quantum super dense coding, Quantum simulator, Quantum IBM Computer, Qiskit’s simulator

Thermodynamic Cost of Quantum transfers

In this work, we will study thermodynamic cost of dense coding. In this regard, a scheme is proposed for quantum channel where is induced from two initially uncorrelated thermal quantum systems. At first, the quantum Fisher information and spin squeezing is used to quantify the correlation dynamics over the system. The system reveals that the dynamics of quantum correlations depends crucially on specific energy and temperature. Also, they can be utilized as control parameters for optimal dense coding. Several interesting features of the variations of the energy cost and the dense coding capacity are obtained. It can keep its own valid capacity value in a broad range of temperature by increasing in the energy value of excited states. Also, we can identify valid dense coding with the help of calculating energy cost in the system. Using this approach, identifying a critical point of this model in dense coding capacity quality can be very effective.