Related Experiment Video
Updated: Jul 8, 2026
07:45
Quasi-light Storage for Optical Data Packets
Published on: February 6, 2014
Demonstration of a quantum teleportation network for continuous variables
Hidehiro Yonezawa1, Takao Aoki, Akira Furusawa
1Department of Applied Physics, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.
Nature
|September 24, 2004
Summary
Researchers experimentally created a tripartite quantum teleportation network. This network enables quantum state teleportation between any two parties with assistance from a third, advancing quantum communication.
Area of Science:
- Quantum physics
- Quantum information science
- Quantum optics
Background:
- Quantum teleportation enables state transfer without physical carrier.
- Multipartite quantum protocols, like quantum teleportation networks, are crucial for advanced quantum communication and computation.
- Entanglement shared among multiple parties is key to multipartite quantum protocols.
Purpose of the Study:
- To experimentally realize a tripartite quantum teleportation network.
- To demonstrate the transfer of quantum states of continuous variables (electromagnetic field modes).
- To confirm the tripartite nature of the teleportation process.
Main Methods:
- Utilized continuous-variable quantum states (electromagnetic field modes).
- Established a network with three entangled parties.
- Performed quantum state teleportation between different pairs within the network.
Main Results:
- Successfully implemented a tripartite quantum teleportation network.
- Demonstrated teleportation of a coherent state between all three possible pairs.
- Unambiguously confirmed the tripartite character of the quantum teleportation network.
Conclusions:
- The experimental realization of this tripartite network is a significant step towards scalable quantum communication.
- Multipartite quantum teleportation networks are feasible for continuous-variable quantum states.
- This work lays the foundation for future complex quantum networks and distributed quantum computing.
Related Concept Videos
01:17Continuous Charge Distributions
Imagine a bucket of water. It contains many molecules, of the order of 1026 molecules. Thus, although it contains discrete elements (molecules) at the microscopic level, macroscopically, it can be considered continuous. Small volume elements of water, infinitesimal compared to the bulk of the bucket's volume, still contain many molecules. Under this framework, quantized matter is approximated as continuous for practical purposes.
The electric charge can also be subjected to an analogical...
The electric charge can also be subjected to an analogical...
01:24Cable Subjected to a Distributed Load
The analysis of suspension bridges is a complex and critical process that involves multiple factors, including the shape and tension of the main cables. The main cables of suspension bridges are subjected to distributed loads, which result in changes in tensile forces and deformation of the cable. These loads must be carefully considered to ensure that the bridge is safe and capable of supporting the weight of different loads.
01:25Network Function of a Circuit
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
01:21Transfer Function in Control Systems
The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
To derive the transfer function, consider a general nth-order linear time-invariant...
To derive the transfer function, consider a general nth-order linear time-invariant...
01:21State Space to Transfer Function
The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
01:26Transmission-Line Differential Equations
Transmission lines are essential components of electrical power systems. They are characterized by the distributed nature of resistance (R), inductance (L), and capacitance (C) per unit length. To analyze these lines, differential equations are employed to model the variations in voltage and current along the line.
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured from the...
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured from the...