ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Quantum channels over graph states using generalized measurement-based quantum computation framework

Raina, A and Garani, SS (2020) Quantum channels over graph states using generalized measurement-based quantum computation framework. In: Quantum Information Processing, 19 (3).

[img] PDF
qua_inf_pro_19-3_2020.pdf - Published Version
Restricted to Registered users only

Download (558kB) | Request a copy
Official URL: http://dx.doi.org/10.1007/s11128-020-2597-7


Measurement-based quantum computation (MBQC) is an alternative way of quantum information processing that describes the unitary evolution of a quantum state using the cluster state and well-defined sequential measurements. We give a closed form expression for the unitary evolution that a state goes through in terms of the network parameters and measurement outcomes on various qubits of the network. We extend the framework of MBQC to describe quantum channels. Using the new framework, we define a valid quantum unital channel between any two nodes of a graph consisting of nodes connected by edges. We describe the channel in terms of the network parameters and initial state. Our generalization consists of modifying the unitary operation, measurement operators, initial arbitrary state of the qubits at all the nodes of the network. We also study the inverse problem of devising an appropriate approximate unitary in the generalized MBQC to create any given quantum channel.

Item Type: Journal Article
Publication: Quantum Information Processing
Publisher: Springer
Additional Information: Copyright of this article belongs to Springer
Keywords: Inverse problems; Quantum channel; Quantum entanglement; Quantum optics; Qubits, Closed-form expression; Graph state; Kraus operators; Measurement-based quantum computation; Network parameters; Of quantum-information; Schmidt decomposition; Unitary operation, Communication channels (information theory)
Department/Centre: Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited: 20 Feb 2020 05:38
Last Modified: 20 Feb 2020 05:38
URI: http://eprints.iisc.ac.in/id/eprint/64579

Actions (login required)

View Item View Item