Quantagonia

𝐇𝐨𝐰 𝐭𝐨 𝐠𝐞𝐭 𝐬𝐭𝐚𝐫𝐭𝐞𝐝 𝐰𝐢𝐭𝐡 𝐋𝐚𝐬𝐭 𝐌𝐢𝐥𝐞 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬 🏢 Small and medium enterprises often struggle with solving this problem effectively, leading to missed opportunities in productivity and cost savings on staff and transportation. This simple and quick guide makes it possible to address these issues with minimal background knowledge. ✨ Optimization with Mixed Integer Linear Programming (MILP): The Capacitated Vehicle Routing Problem is solved to prioritize critical deliveries and optimize routes, ensuring rapid and efficient service. By combining the Knapsack and Traveling Salesman Problems, care delivery is maximized. 💡 Getting Started Made Easy: Most people don't know where to start with last-mile delivery problems. We've got you covered with a simple model formulation: - Define Problem Parameters (e.g. Delivery locations) - Define Objective Function (e.g. Minimize total distance) - Define Constraints (e.g. Vehicle capacity) - Optimize Model - Process Results Explore this easy-to-follow implementation here:  https://lnkd.in/djBz7r4f

Quantagonia gewinnt den KI Innovation Award des F.A.Z.-Institut und KI Bundesverband! 🏆 Wir sind überaus stolz und dankbar, diesen renommierten Preis im Rahmen der Innovativ Leaders Conference erhalten zu haben. In ihrer Laudatio betonte Dr. Vanessa J., dass unsere Vision, Quantencomputing und Optimierung zugänglich zu machen und den Zugang zu optimalen Rechenkapazitäten zu schaffen, die Jury nachhaltig beeindruckt hat. Ein herzliches Dankeschön an die Jury und die Sponsoren für diese Ehre. Diese Auszeichnung bestätigt unseren Weg und inspiriert uns, weiterhin Innovationen voranzutreiben. Thomas Kropf Thorsten Posselt Simone Schaub-Meyer Petra Finke Dr. Simone Kämpfer Stefanie Baade Patrick Bernau Dr. Tanja Emmerling 🇺🇦 Eduard Singer

Balancing Quantum Hype and Reality I get it. Hype can be a driver, and why should I, at a startup working on quantum computing topics, complain about it? But too much hype can lead to false claims and attention to resolving pseudo-problems that seem important but actually don’t address the underlying issues necessary for progress. Parts of my job at Quantagonia involve managing the "quantum expectations" of customers. Sometimes, even those with a technical background expect that current executable quantum algorithms in optimization offer some form of quantum advantage. At Quantagonia, we aim to leverage both quantum and classical computers for optimization problems in operations research. We routinely compare what is possible with current classical algorithms. The truth is, we are simply not there yet in achieving a pure quantum advantage in optimization. This doesn’t mean we shouldn't start now: we can’t build quantum computers without understanding what we specifically gain and how to integrate them to maximize their potential. However, maintaining realistic, evidence-based expectations and being open to constructive criticism about what needs improvement is very important. Because communicating this is crucial, I wrote a short blog post, "A Current Quantum of a Reality Check for Optimization," where you can also learn why we at Quantagonia are invested in quantum computing, even though we currently lack practical quantum advantage for optimization problems on available devices (blog link in the comments). #QuantumComputing #Optimization #OperationsResearch #Technology #Innovation

🚀 Zu Gast im Podcast 🚀 Ich hatte das Vergnügen, in der neuesten Episode von Auf einen Espresso über meinen Weg hin zum Unternehmer sowie unsere Arbeit und Mission bei Quantagonia zu sprechen. Themen waren unter anderem: - Der Weg vom Studierenden zum Unternehmer - Die (Deeptech) Start-Up Szene - Was Profisport mit Optimierung zu tun hat - Unsere Mission bei Quantagonia Philipp Weingardt und Simon Henzler, vielen Dank euch für die Einladung. Viel Spaß beim Hören - ich freue mich auf euer Feedback! Die Folge ist jetzt überall verfügbar, wo es Podcasts gibt! (Link in den Kommentaren)

𝟵𝟵% 𝗼𝗳 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗰𝗮𝗻’𝘁 𝗮𝗰𝗰𝗲𝘀𝘀 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 Decision Intelligence (a.k.a. Optimization) is still lacking feasibility for small and mid-sized companies due to high entry barriers, as underlined by my recent poll (see results in brackets below). Lowering these entry barriers could significantly improve the widespread adoption of Decision Intelligence - “the best hidden secret”. While I am sure that you have heard enough of AI’s benefits across all media channels… …it could truly be a game changer for democratizing Decision Intelligence. Here's how LLM-integration could tackle the existing entry barriers and make Decision Intelligence everyone's sidekick: ✅ 𝗔𝘄𝗮𝗿𝗲𝗻𝗲𝘀𝘀 𝗼𝗳 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗣𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 (𝟰𝟳%): Leveraging LLMs widespread attention to market the benefits of Optimization and reposition its image in the business landscape. ✅ 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗼𝗳 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝘀 (𝟭𝟵%): LLMs can bridge the translation of business problems to mathematical models, simplifying optimization for non-experts. ✅ 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 & 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 (𝟭𝟵%): LLMs enable swift data input, actively identifying, and proposing improvements for data quality issues with minimal effort. ✅ 𝗖𝗼𝘀𝘁 & 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗔𝗹𝗹𝗼𝗰𝗮𝘁𝗶𝗼𝗻 (𝟭𝟰%): LLMs can streamline the process of developing and deploying Decision Intelligence solutions by providing cost-effective alternatives to traditional data analysis and model development methods. Bringing LLMs into the world of Decision Intelligence isn't just about finding better solutions; it's about opening doors for every business to make smarter, faster decisions without breaking the bank or getting lost in translation.

Big news! We're launching something amazing soon and need your skills to ensure it performs flawlessly and continues to impress. We're hiring now in our Frankfurt and Munich offices. Ready to make an impact? Join us! 🚀 Internship/Working Student - Founders Associate (m/f/x) ⚛️ Internship/Working Student - Quantum Algorithms & Applications (m/f/x) 💻 Full-time Cloud Engineer (m/f/x) 💻 Working Student - Mathematical Optimization Modeling & Implementation (m/f/x) https://lnkd.in/ebdQT_r9

What a thrilling experience at eMerge Americas with Quantagonia in Miami! Always a pleasure to discuss topics with whurley (William Hurley), Aurélie Hélouis, & Shreyas Ramesh. It's great to see the topic of quantum computing helping to solve optimization and AI problems being embraced and highlighted beyond specific industry conferences. 3 key takeaways: 🚀 Optimization problems are the first to be solved by quantum computing. ⏳ Quantum Advantage is still a few years away, therefore it's important to start Hybrid. 🧢 Always bring a hat to afternoon beach gatherings A huge shoutout to our great partnership with Strangeworks, and to pushing boundaries and pioneering the future together! #eMerge #Innovation #Miami

🎉 Hello Munich: Quantagonia's New Office! We're thrilled to announce the opening of our new office in Munich! We’re excited to deepen our roots in this vibrant innovation and technology hub, home of our partners, the UnternehmerTUM and Munich Quantum Valley. Our Munich office will serve as a critical innovation center for developing advanced solutions on the Quantagonia Hybrid Quantum Platform (HQP), furthering our mission to democratize quantum-classical hybrid computing for decision intelligence. This new location will enable us to collaborate more closely with our clients and partners and continue growing our Quantagonia Family. And what better place to do this than by being closely surrounded by other startups? Thank you for the warm welcome, Vitolus! Stay tuned for more updates soon! #Quantagonia #QuantumComputing #Innovation #Munich

Quantagonia's HybridSolver Sets New Benchmark in TECNALIA Study Exciting news from the quantum computing frontier! A recent independent TECNALIA Research & Innovation study has demonstrated that our HybridSolver significantly outperforms D-Wave's Solver. This is a game-changer in the NISQ era, where the fusion of quantum and classical computing is key for advancing real-world applications. Why does this matter? Our innovative approach combines the best of both quantum and classical algorithms, creating a synergy that enhances their overall performance. This study highlights the robust potential of hybrid solvers and establishes a new standard for efficiency and capability in quantum computing. Eager to leverage the power of Quantagonia's HybridSolver in your projects? Whether you're in research, development, or production, our solution offers unparalleled opportunities. Discover the difference with our HybridSolver, or reach out to discuss how it can transform your specific needs. #QuantumComputing #Innovation #HybridSolvers #TECNALIA #NISQEra #TechAdvancement

🔍 Optimization meets LLMs: Optimization for the 99% 🔍 🌐 Reflecting on my 25-year journey in the realm of optimization, I've witnessed firsthand the evolution of this field. My experience spans a decade at ILOG (now an IBM company), to working with #CPLEX, and playing a pivotal role in establishing Gurobi Optimization in Europe and now tackling optimization challenges that people *actually* care for with Quantagonia. I've seen how optimization tasks historically required intensive collaboration between business analysts and domain experts. This process involved translating complex business problems into sophisticated mathematical models, a skill reserved for those with deep expertise in Operations Research. 🔄 Changes in planning processes meant laborious modifications to these models, a journey through the entire deployment process. 🗣️ Users often have a keen eye for detailing what a plan lacks or predicting potential changes. This valuable input allows for the precise refinement of optimization models, ensuring they stay aligned with dynamic real-world demands. 📝 Entering Quantagonia: Embracing the intuitive power of Large Language Models (#LLMs) like #ChatGPT, Mistral AI, #LLaMA2 , and others, we open a gateway for users to effortlessly articulate their optimization and planning tasks. These advanced LLMs naturally align with the user's thought process, transforming abstract ideas into well-defined requirements. This seamless integration empowers users at every step – from the initial formulation of their planning tasks to subsequent adaptations and refinements throughout the planning process. This allows domain experts to articulate and solve their challenges independently. 🧠 However, planning tasks often become so complex that the number of potential solutions surpasses the atoms in the universe. This complexity means that solely using Machine Learning and LLMs, which process only previously trained problems, cannot yield mathematically exact and verifiable solutions. 🌟 We've identified a groundbreaking approach: the fusion of LLMs with Mathematical Optimization leveraging Mistral AI’s foundation models and our #HybridSolver technology. This combination not only empowers domain experts to create and define planning tasks but also an interactive discovery towards optimal solutions for planning challenges, maximizing the benefits derived from these complex tasks. 🎄 Just right before X-Mas we received a call from Santa. With an exploding world population, Santa’s reindeer scheduler tapped out. The recently unionized Santa Claus (#GDL) had to schedule his tour for optimal present distribution based on his nice and naughty list. However, with Santa being from the older generation, he didn’t know anything about routing. Luckily we were able to help. Enjoy the video and rest assured that Santa will be on time with his optimal tour! 🎁 Merry X-Mas and Happy Holidays