Julia Freund (Institute of Semiconductor and Solid State Physics) and Manuel Schlenkrich (RISC Software GmbH)
Our LIT Breakfast Briefings feature outstanding and impressive JKU researchers talking to the scientific community about their current research findings.
We introduce two topics and discussions in 30-minute sessions.
Date: November, 8, 2022, beginning at 8.30 AM
Location: LIT Open Innovation Center, OIC Forum AND via ZOOM, opens an external URL in a new window
Quantum Communication with Polarization Entangled Photon Pairs from Semiconductor Quantum Dots
Quantum dots are made from common direct-bandgap semiconductors. A quantum dot in a semiconductor environment can be illustrated by a popular Austrian dish, the Kaiserschmarrn: The quantum dots are the raisins and the semiconductor environment embedding the quantum dots is the dough. Quantum dots are able to confine electron-hole pairs (excitons) within a nanometric region of space. Despite the complex solid-state environment, the decay cascade of excitons within a quantum dot shows the behaviour of a few-level quantum system, similar as found in atoms. If the electron and hole recombine, it emits a photon. If two excitons are confined within the quantum dot, their recombination results in a polarization, entangled photon pair. Polarization entangled photon pairs can be used to establish secure communication between two parties over a distance. This is important, particularly if the sent content contains critical information such as access to bank accounts or the involved parties' personal information; those involved want to ensure no one can eavesdrop in the communication channel. My Breakfast Briefing talk will focus on how we can use polarization entangled photon pairs, ranging from quantum dots to encrypted messages between two parties. My presentation aims to introduce the concept of entanglement and subsequently demonstrate how one can use entangled photon pairs to create a secure communication channel between two parties.
An Optimization Framework for Large-Scale Industrial Production Scheduling
Manufacturing companies across various industries - such as steel companies, chemical companies, and semiconductor manufacturers - face complex production scheduling problems daily, all in an effort to be able to remain competitive. This requires sequencing several thousand operations and allocating scarce resources, such as machines, tools, and the workforce. At the same time, complex constraints in the production environment have to be taken into consideration. This is crucial in order to ensure efficient scheduling procedures and meet deadlines, maximize resource utilization, and minimize several cost factors.
As the size and complexity of real industry cases greatly exceed mathematical modeling limitations and exact solution approaches, we are developing an efficient metaheuristic scheduling framework based on the Tabu-Search method, designed to deliver high quality production schedules. An initial improvement solution would be to continuously and iteratively modify the solution structure through neighborhood operations, thereby evaluating the resulting schedule in regard to various objectives. In an effort to counter the ever-increasing complexity and size of the industrial problem instances and keep track of computational time, we are enhancing the neighborhood operator behavior with the goal to better evaluate the solution candidates.
(The LIT Breakfast Briefing will be held in English.)
Join in on Zoom:
Meeting ID: 968 8500 7301
Coffee and croissants will be provided! :-)
We look forward to seeing you there!