Hyeon Yang

Schemes generating entangled states and entanglement swapping between photons and three-level atoms inside optical cavities for quantum communication

We propose quantum information processing schemes based on cavity quantum electrodynamics (QED) for quantum communication. First, to generate entangled states (Bell and Greenberger–Horne–Zeilinger [GHZ] states) between flying photons and three-level atoms inside optical cavities, we utilize a controlled phase flip (CPF) gate that can be implemented via cavity QED). Subsequently, we present an entanglement swapping scheme that can be realized using single-qubit measurements and CPF gates via optical cavities. These schemes can be directly applied to construct an entanglement channel for a communication system between two users. Consequently, it is possible for the trust center, having quantum nodes, to accomplish the linked channel (entanglement channel) between the two separate long-distance users via the distribution of Bell states and entanglement swapping. Furthermore, in our schemes, the main physical component is the CPF gate between the photons and the three-level atoms in cavity QED, which is feasible in practice. Thus, our schemes can be experimentally realized with current technology.

Discrete quantum Fourier transform using weak cross-Kerr nonlinearity and displacement operator and photon-number-resolving measurement under the decoherence effect

We present a scheme for implementing discrete quantum Fourier transform (DQFT) with robustness against the decoherence effect using weak cross-Kerr nonlinearities (XKNLs). The multi-photon DQFT scheme can be achieved by operating the controlled path and merging path gates that are formed with weak XKNLs and linear optical devices. To enhance feasibility under the decoherence effect, in practice, we utilize a displacement operator and photon-number-resolving measurement in the optical gate using XKNLs. Consequently, when there is a strong amplitude of the coherent state, we demonstrate that it is possible to experimentally implement the DQFT scheme, utilizing current technology, with a certain probability of success under the decoherence effect.

Energy Saving Mechanism using sleep mode of processor in home gateway

Home gateway is in always-on state whether traffic flows or not and thus a waste of power is caused in case that any traffic does not flow. This paper proposes HGESM (Home Gateway Energy Saving Mechanism) which reduces energy consumption in home gateway. The proposed HGESM supports energy saving by switching or keeping processor mode according to the type of service (real time or non-real time service). We verify that the proposed HGESM has lower power consumption than the existing scheme.

Implementation of controlled quantum teleportation with an arbitrator for secure quantum channels via quantum dots inside optical cavities

We propose a controlled quantum teleportation scheme to teleport an unknown state based on the interactions between flying photons and quantum dots (QDs) confined within single- and double-sided cavities. In our scheme, users (Alice and Bob) can teleport the unknown state through a secure entanglement channel under the control and distribution of an arbitrator (Trent). For construction of the entanglement channel, Trent utilizes the interactions between two photons and the QD-cavity system, which consists of a charged QD (negatively charged exciton) inside a single-sided cavity. Subsequently, Alice can teleport the unknown state of the electron spin in a QD inside a double-sided cavity to Bob’s electron spin in a QD inside a single-sided cavity assisted by the channel information from Trent. Furthermore, our scheme using QD-cavity systems is feasible with high fidelity, and can be experimentally realized with current technologies.

Distributed real-time stochastic optimization based ESS management strategy for residential customers

In this paper, we propose an energy storage system (ESS) management strategy using the distributed real-time stochastic optimization to solve the prediction error by the forecasting system for added spending reduction of residential customers. Firstly, the optimization problem concerning photovoltaic (PV), ESS and flexible load is reformulated for the real-time scale problem by utilizing the stochastic optimization technique. After that, the optimization problem is designed for the distributed real-time stochastic optimization problem through the decomposition technique in the real-time scale. The result of simulation shows variation of the time-averaged delayed backlog and time-averaged electricity power cost by the portion of unsatisfied flexible load and control of backlog value.

A new signaling system for efficient packet transmission using new gateway system

The need to configure the network structure is different from the legacy network system in order to meet the needs of the core network 5G. Legacy network does not satisfy an increase in the increase in connection delay time and the traffic at the centralized model. generating requests and trigger central node which occurs in a number up connection small cell and the terminal will give much burden to the MME in charge of Mobility Management from EPC. Moreover, EPC is dependent on GTP is a protocol for supporting the terminal mobility that was used in the 2G / 3G. GTP can be that maintained to support Mobility, GTP tunnel management which requires heavy signaling and handover that occur frequently will be giving a burden to the MME complicate. In addition, the tunnel is sensitive to time and delay, will result in a packet overhead. Therefore, we attempt to propose an architecture which can meet the scheme and 5G requirements can solve the problems with GTP.

Supply and demand management system based on consumption pattern analysis and tariff for cost minimization

In this paper, we propose a supply and demand management system based on information on the power consumption pattern analysis and the tariff for HEMS(Home Energy Management System) of KEPCO(Korea Electric Power COrporation) for cost minimization. The scheduler of a supply and demand management system decides the curtailment level for the dropped appliances based on information about the predicted power consumption amount, the predicted renewable energy generation amount, and the tariff. We get the effect of the cost minimization on power consumption for home area user using constraints to decide the optimal curtailment level.

A mechanism on reducing power consumption by using threshold and timer in home gateway

This paper proposes a mechanism on reducing power consumption by using threshold and timer in home gateway. Traffic consists of real time and non-real time traffic. Proposed mechanism uses sleep mode, which can be extracted from the traffic with a protocol features and also takes advantage of buffer threshold mechanism and timer constraint for extending sleep mode. The extended sleep mode can save the energy consumption. We verify the result with numerical analysis to get lower power consumption than the existing scheme.

Method for Reduction of Power Consumption using Buffer Processing Time Control in Home Gateway

This paper proposes an efficient power consumption scheme using sleep mode in home gateway. The scheme by this paper classifies incoming real time packet and non-real time packet in home gateway and delay non-real time packet. Therefore, the home gateway can have longer sleep time because non-real time packet can get additional delay time by proposing mechanism using timer. We use non-preemptive two priority queueing model for performance analysis. As a results, we verify that power consumption of proposed scheme is reduced more than existing scheme by delay of non-real time traffic.