🌟 Exciting News from the Research! 🌟
I am thrilled to share our latest publication, "Leveraging Multi-Criteria Integer Programming Optimization for Effective Team Formation," now available in the Early Access section of IEEE Xplore - IEEE Transactions on Learning Technologies.
https://lnkd.in/gCh_9yWw
This paper, a collaborative effort with co-first authors including myself, introduces a novel methodology using multi-criteria integer programming (MCIP) to navigate the complexities of team formation. This innovative approach not only considers multiple criteria simultaneously but also enhances team diversity and minimizes potential conflicts, setting a new standard in team assembly processes. The core innovation lies in our two-stage optimization process: the initial segmentation using a weighted heterogeneous multivariate K-means algorithm followed by a robust surrogate optimization technique.
A huge thanks to my co-authors Pallavi Singh, Kevin H. Nguyen, B.S.B.E., Dr. Trung (Tim) Le, and Dr. Wilfrido Moreno, whose insights and dedication have been instrumental in this work.
#TeamFormation#Optimization#IntegerProgramming#IEEE#ResearchInnovation
🎊 Excited to share my latest article on "Superdense Coding" published on Medium Article! 🧠✨ This quantum communication protocol allows for the transmission of two classical bits using just one qubit, showcasing the incredible potential of quantum entanglement. 🎊
#QuantumComputing#SuperdenseCoding#QuantumEntanglement#QuantumTechnology
Journal First Track
SANER 2025
Journals:
Empirical Software Engineering-Springer
Journal of Systems and Software-Elsevier
Information and Software Technology-Elsevier
Journal of Software: Evolution and Process-Wiley
Science of Computer Programming-Elsevier
Coen De Roover and yt
Those who talked with me in the past couple years might remember that I have a long-lasting grudge with quantum circuits (https://lnkd.in/gp_snVEY).
As it turns out, the problem runs much deeper than just circuits, some other people also noticed it and were happy to have multiple discussions on the topic. The first step was to organize a workshop at last year IEEE Quantum Week (you can read summary here: https://lnkd.in/gPnGz23g) and the next one was writing a paper on the topic.
So I'm glad to say that together with Olivia Di Matteo Santiago Núñez-Corrales, Ph.D.Steve Reinhardt and Tim Mattson (and with non-trivial contributions from Tom Lubinski and Yuval Sanders), we've recently posted on arXiv a paper titled: "An Abstraction Hierarchy Toward Productive Quantum Programming".
If you're more on the NISQy side of things and feel like writing and running programs on contemporary QPUs is arduous...
Or if you're more on the FTQCy side of things and you feel confused about how we will be running programs on future computers...
I hope this paper will provide some good food for thoughts!
We were not aiming at finding solutions, but rather articulating some of the issues and providing a better framework to thing about these problems.
Let us know if we succeeded!
https://lnkd.in/ggAHtrPc
Those who talked with me in the past couple years might remember that I have a long-lasting grudge with quantum circuits (https://lnkd.in/gp_snVEY).
As it turns out, the problem runs much deeper than just circuits, some other people also noticed it and were happy to have multiple discussions on the topic. The first step was to organize a workshop at last year IEEE Quantum Week (you can read summary here: https://lnkd.in/gPnGz23g) and the next one was writing a paper on the topic.
So I'm glad to say that together with Olivia Di Matteo Santiago Núñez-Corrales, Ph.D.Steve Reinhardt and Tim Mattson (and with non-trivial contributions from Tom Lubinski and Yuval Sanders), we've recently posted on arXiv a paper titled: "An Abstraction Hierarchy Toward Productive Quantum Programming".
If you're more on the NISQy side of things and feel like writing and running programs on contemporary QPUs is arduous...
Or if you're more on the FTQCy side of things and you feel confused about how we will be running programs on future computers...
I hope this paper will provide some good food for thoughts!
We were not aiming at finding solutions, but rather articulating some of the issues and providing a better framework to thing about these problems.
Let us know if we succeeded!
https://lnkd.in/ggAHtrPc
A thought-provoking paper from Olivia Di Matteo et al. recognized Qrisp as one of the frameworks that, and I quote, "constitute some of the best ongoing explorations we know of that seek to understand how classical types (and analogous, native quantum types) might be interpreted in quantum programs and their structures.".
This recognition serves as validation that our team at Fraunhofer FOKUS (feat. Raphael Seidel, Sebastian Bock, Niklas Steinmann, Nikolay Tcholtchev) is on the right path, as well as an indication that our efforts of spreading the word about Qrisp is starting to reach the core of quantum programming research community.
To conclude, let me borrow an excerpt from the above-mentioned paper's conclusion that resonated and provided great food for thought:
"... people writing applications should not need to understand how compilers are constructed and compiler writers shouldn’t need to be hardware engineers.
The parallel computing community over time settled on a three-layer abstraction hierarchy around which to organize their software development infrastructure. We believe that the same hierarchy should be used for quantum computing: a programming model is used to map algorithms onto software, an execution model to understand how software executes, and a hardware model to define an abstract machine that represents physical hardware. This leads to the desired separation of concerns essential for any software engineering practice."
I highly recommend reading this preprint.
If you consider yourself intrigued you can Qrispify your life via:
pip install qrisp
Those who talked with me in the past couple years might remember that I have a long-lasting grudge with quantum circuits (https://lnkd.in/gp_snVEY).
As it turns out, the problem runs much deeper than just circuits, some other people also noticed it and were happy to have multiple discussions on the topic. The first step was to organize a workshop at last year IEEE Quantum Week (you can read summary here: https://lnkd.in/gPnGz23g) and the next one was writing a paper on the topic.
So I'm glad to say that together with Olivia Di Matteo Santiago Núñez-Corrales, Ph.D.Steve Reinhardt and Tim Mattson (and with non-trivial contributions from Tom Lubinski and Yuval Sanders), we've recently posted on arXiv a paper titled: "An Abstraction Hierarchy Toward Productive Quantum Programming".
If you're more on the NISQy side of things and feel like writing and running programs on contemporary QPUs is arduous...
Or if you're more on the FTQCy side of things and you feel confused about how we will be running programs on future computers...
I hope this paper will provide some good food for thoughts!
We were not aiming at finding solutions, but rather articulating some of the issues and providing a better framework to thing about these problems.
Let us know if we succeeded!
https://lnkd.in/ggAHtrPc
This paper proposes a learning-based #random#linear#network#coding (#RLNC) framework called RS-RLNC that utilizes network and receiver feedback to optimally select between block-RLNC and sliding-RLNC to improve overall network performance. The authors present a simulation-based performance evaluation of current transport layer solutions against the state-of-the-art RLNC and RS-RLNC in terms of throughput, latency, and decoding complexity. ----@Shahzad, Rashid Ali, @Hyung Seok Kim
More details can be found at this link:
https://lnkd.in/g5Nj7H4Y
A new lecture in the Course: "Introduction to Quantum Computing", has been published: https://lnkd.in/dYRjB4w2
Lecture 13: Superdense Coding
This lecture introduces the second application of quantum entanglement, namely, that of superdense coding. This is the dual to quantum teleportation. In the latter Alice wants to send quantum information to Bob over a classical channel using a shared entanglement-bit. In the current context of superdense coding Alice wants to send classical information to Bob over a quantum communication channel. The instruction language is Arabic, however, all material, slides, concepts, definitions, proofs, etc., are all given in English.
Data Scientist and a Biostatistician. Developer of ML/AI models. Researcher in the fields of Biology and Clinical Research. Helping companies with Digital products, Artificial intelligence, Machine Learning.
Michail Tsagris is offering a free, three-hour seminar, titled "Efficient Programming in R," on January 27. Geared toward PhD students, academics, and professional researchers, it will explore efficient programming techniques in R for advanced data analysis, focusing on optimizing code, enhancing computational speed, and ensuring reproducible research practices. Participants will gain practical skills beneficial for diverse fields, improving both the precision and impact of their analytical work. https://lnkd.in/gNGDAi73
