TANGRAM Center’s Post

🤖 #QuantumComputing (QC) is a significant leap forward in our ability to process information, promising revolutionary advancements across multiple #industries. Unlike classical computing, which relies on #bits to process information in a binary format (0s and 1s), quantum computing uses quantum bits or #qubits. These qubits can exist in multiple states simultaneously, thanks to the principles of quantum mechanics, like #superposition and #entanglement. This capability allows quantum computers to process vast amounts of data at unprecedented speeds, opening up new possibilities in various industries. 💊🏦🚛 QC can, for example, dramatically accelerate the #drugdiscovery process in the #pharmaceutical industry by simulating molecular and chemical interactions at an atomic level. In #finance, QC can optimize asset management, risk assessment, and #frauddetection. It can also revolutionize #logistics by optimizing routing for delivery and transportation to improve delivery times and allow for a more efficient supply chain management. 👩🏼🔬🔬 Our #Qshift research project by CHANSE, Collaboration of Humanities and Social Sciences in Europe, at the University of St.Gallen wants to contribute to make the #QuantumShift as effective as possible. Understanding public #narratives around quantum computing is vital to ensure it becomes an #inclusive and #accessible technology in order to prevent the risk of creating a #divide between those who have access to it and those who do not. The public perception of QC, fueled by narratives in #media and #academia, will play a crucial role in determining how #resources are allocated, how #regulations are formed, and how the technology is integrated into society. 💚 The capability of QC to simulate complex systems like demographics, mobility, and financial markets at a system level will profoundly impact human #decisionmaking. For instance, in In the #healthcare sector, QC can significantly enhance decision-making processes, especially in the field of #personalized medicine. In management, QC is set to revolutionize decision-making in management through its application in complex optimization problems. 🫱🏼🫲🏾 As quantum computing continues to develop, it is essential to foster a balanced understanding of its capabilities and implications. This understanding will ensure that we harness its potential to benefit society as a whole, while being mindful of the ethical, economic, and social challenges it presents. This is what we do in our joint #Qshift project together with Surjo R. Soekadar, Charité - Universitätsmedizin Berlin, Valentin Jeutner, Lund University, Hin-Yan Liu, University of Copenhagen (Københavns Universitet), and Dr. Léa Steinacker as our partner of practice. 🙏🏼 Many thanks also to Aurelija Lukoševičienė, Gina P., , Charles Ma, Viktor Suter and Markus Zinsmaier. 🎥 What we have done in our first year! Take a look at our video 👇🏼 https://lnkd.in/eNpCTSH3

Watch M Waleed Kadous, Chief Scientist of Anyscale speak on how to achieve cost & performance optimization with small fine-tuned models, which are cheap to train and can outperform larger general models. #llm #finetuning #optimization https://lnkd.in/dgxAvhCn

Hello LinkedIn, nice to finally be here! It is time to formally let everyone know what we have been up to over the last few years as we've been working hard developing and operating Aqacia. We are a Machine Learning company that specialises in ML solutions for Quantum Technology companies (and related industries) as well as developing our own products (check out our mobile Quantum Random Number Generator, Australia’s first!). Over the last few years under the guidance of Directors Aaron Tranter, Ping Koy Lam and Ben Buchler, Aqacia has been providing services and solutions to Australian institutions such as the Australian National University, Silicon Quantum Computing and PV labs as well as international companies. Now, we are live to the public and launching onto social media platforms. Follow our journey for a quantum leap in innovation and exciting industry news. #QuantumTechnology #MachineLearning #QuantumComputing #Innovation"

We did an amazing course with Ergi Sener, PhDc and Türkiye Bankalar Birliği. We discussed latest advancements of AI in finance, future of LLMs and where does quantum computing stands in this perspective with examples from CompactifAI from Multiverse Computing .

I will be at ICML in Vienna this week and presenting our paper on Quantum Contextual Optimal Transport (see below)! Hope to chat with many of you about AI4Science, Language Models & Quantum ML

Signed! ✔ Belgium has officially signed the European Declaration on Quantum last week and thereby recognizes the strategic importance of quantum technologies for the scientific and industrial competitiveness of the EU. Belgium, however, already has several initiatives with regard to quantum: - Flanders has a Flemish Supercomputer Center that promotes the use of scientific and technical computing in the Flemish academic and industrial landscape. To this end, it provides infrastructure, training and services. - Wallonia proudly hosts Lucia, our most powerful supercomputer in Belgium. - Belgium is a member of the EuroQCI initiative. This consortium (BeQCI) unites theoretical, experimental and technical expertise in quantum technology in Belgium. - Belgium is also a member of EuroHPC LUMI. The LUMI machine provides researchers across Europe with a tool and platform for developing complicated, advanced technologies, such as AI or quantum computing. And still.. The best is yet to come! 😉 #quantumtechnology #quantumeurope #belgianpresidency #digitaleurope #digitalbelgium #digitaldecade

Learnable activation functions on edges instead of fixed ones on nodes intuitively look promising! Wonder if someone in my network who follows scientific trends in ML can comment on this recent article about Kolmogorov-Arnold Networks: https://lnkd.in/e96BAXAv

📚 Thrilled to announce the publication of my paper! 🚀 Delighted to share that my research on "Gesture Recognition in Machine Vision for Video Calling Applications Using YOLOv8" has been officially published in IEEE Xplore on January 3rd, 2024 🎉, after the proceedings of the 22nd International Symposium on Communications and Information Technologies (ISCIT) held from October 16-18, 2023, at Sydney, Australia. This work represents the culmination of dedicated research in machine vision and contributes to the evolving landscape of gesture recognition technology. 🌐 If you're interested in exploring the details, you can find the paper here: https://lnkd.in/gUyuNtze I want to express my gratitude to Shantakumar B Patil, Bhargav S Patil, & Premjyoti who contributed to this project and to the IEEE community for providing a platform to share our insights. Looking forward to continued advancements in this dynamic field! 🤖📊 #MachineVision #GestureRecognition #YOLOv8 #ResearchPaper #IEEE #Published #TechnologyInnovation

🌟 Excited to Share My Latest Achievement! 🌟 I am thrilled to announce that my research paper, "Quantum Intelligence: Merging AI and Quantum Computing for Unprecedented Power", has been published and presented at the esteemed conference "Trends in Quantum Computing and Emerging Business Technologies" (TQCEBT). This milestone wouldn't have been possible without the support and guidance of my mentors, colleagues, and the vibrant research community. Their invaluable feedback and encouragement have been instrumental in shaping this work. In my paper, I explore the synergy between Artificial Intelligence and Quantum Computing, unveiling new horizons of computational power and potential applications across various industries. I believe this integration will revolutionize how we approach complex problems and open up new avenues for innovation and efficiency. A special thanks to the TQCEBT organizers for providing a platform to share my research and to all the participants for their insightful discussions and inspiring presentations. I'm honored to have received a certificate for my presentation and to be part of such a forward-thinking community. Looking forward to continuing this exciting journey and collaborating with fellow researchers and industry professionals. The future of Quantum Intelligence is bright, and together, we can push the boundaries of what's possible! #QuantumComputing #ArtificialIntelligence #Research #Innovation #TQCEBT2024 #QuantumIntelligence #EmergingTechnologies #ProudMoment

There is a great similarity between a setup to entangle two qubits (for example: 2 spin photon interfaces + optical fibers +1 beam splitter+ 2 detectors) and a Stochastic Finite State Machine (SFSM). This SFSM can be thought of as a 'machine' which generates entanglement with a certain success rate (hence stochastic) and goes through certain discrete states (hence FSM). Now the task to create a cluster state, which are entangled network of qubits, is similar to operating an ensemble of SFSMs and creating a network of these machines. The tricky part is that each SFSM has inhomogeneous properties (spin, cavity, detunings, etc). So how do we make sure that all these SFSMs work in 'unison' to give us a largest cluster state? That's where we propose an intelligent agent (Reinforcement Learning agent) which tries to take this dynamic decision of allocating quantum resources for these SFSMs. We introduce a framework utilizing a transformer model to implement this. If it seems interesting check out our recent paper. I would like to thank Prof. Dirk Englund, Prof. Kaiming He, and Dr. Linsen Li for the opportunity and guidance.