A fascinating exchange at Quantum.Tech 2025 during the Industry Disruptor Panel on optimization challenges: 🔹 Helmut G. Katzgraber, Former Senior Practice Lead of Advanced Solutions at Amazon: “Once you have an optimization problem with 100,000 variables and 10,000 constraints, you will definitely give up on it...Talent is the biggest blocker right now. If we achieve quantum advantage we don’t have enough resource to deliver it. There will be a skills gap for another 10 years as a PHD is required” 🔹 Harry Buhrman, Chief Scientist for Quantum Algorithms and Innovation at Quantinuum: “You should look at small data, big compute problems. And they're also present in optimization. … It’s important that we look at optimization problems that are hard classically, for which we can find a good, easy, quick quantum solution. It won’t be for a world-changing problem at the beginning, but that is the start - that’s where we have to go.” A perfect example of the critical conversations happening here in Rotterdam - where today’s challenges meet tomorrow’s solutions. #QT25 #QuantumTech
Quantum optimization challenges at Quantum.Tech 2025: Talent and skills gap
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Another great Industry Talk is coming up soon! 📣 We’re excited to host Hayk Tepanyan, Co-Founder of BlueQubit, this Saturday for a talk on how quantum computing is being deployed in industry. BlueQubit is building the software stack for quantum advantage—empowering developers with accessible tools, optimized compilers, and scalable workflows. Hayk, a Stanford graduate with a background in Computer Science, began his journey as a competitive programmer and later gained experience in AI/ML infra during his years at Google. As the co-founder and CTO of BlueQubit, Hayk is driving innovation in quantum computing, focusing on implementing near-term quantum algorithms on the latest quantum computers. Hayk will talk about how we transitioned from Computer Science to Quantum Computing, the state of the Quantum Computing today, how does BlueQubit fit in that picture and also sneak peek into an upcoming Quantum Advantage open challenge with $20,000 bounty - based on one of BlueQubit's quantum algorithms. 📅 Saturday, Sept 20 ⏰ 1:00 PM ET 📍 Virtual on Zoom: https://lnkd.in/eTYxVVYh Whether you’re curious about startups, quantum software, or the future of computing, this is a talk you won’t want to miss! #QuantumComputing #BlueQubit #CMU #QuantumTech #CarnegieMellon
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🚀 Day 8 of QuCode’s 21 Days Quantum Computing Challenge – Cohort 3 🚀 🔍 Topic: Qubits & Bloch Sphere Representation 💡 Hands-on: Building simple quantum circuits Today’s deep dive was into the core of quantum computing — the Qubit 🧠⚛️ 🔹 Explored how a qubit is represented not just as |0⟩ or |1⟩, but as a superposition on the Bloch Sphere 🔹 Learned how quantum gates like X, H, Z, and CNOT transform qubit states geometrically 🔹 Got hands-on with: · Single-qubit state preparation · Applying gates and visualizing state changes · Creating Bell States (hello, entanglement 👋) · Using Qiskit to plot the Bloch Sphere and track quantum state evolution 🛠️ Key Concepts Practiced: · Single-qubit gates: X, H, Z · Multi-qubit gate: CNOT · Quantum state visualization · Understanding |ψ⟩ = α|0⟩ + β|1⟩ · Bloch Sphere: latitude, longitude = phase and amplitude · Built and measured Bell States to see quantum entanglement in action! 🔗 This challenge is not just theory — it’s hands-on learning that sticks. #QucodeChallenge #QuantumComputing #Qiskit #BlochSphere #Qubits #BellState #21DayChallenge #QuantumTech #LearnQuantum #PythonForQuantum #QuantumCircuits
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#DefenceFinanceMonitor | Oxford Quantum Circuits – Strategic-Technological Analysis Oxford Quantum Circuits (OQC), founded in 2017 as a University of Oxford spin-out, is a UK-based deep-tech company developing superconducting quantum computers. Its patented Coaxmon architecture introduces a scalable approach to qubit design, placing OQC among Europe’s leading quantum ventures. The firm has already achieved industry firsts: the first European quantum computer on Amazon’s AWS Braket and the first quantum deployment in a commercial data center. Led by Dr. Peter Leek (Founder), with board figures including Colin Bell (ex-HSBC), and backed by Oxford Science Enterprises, Lansdowne Partners, UTEC Japan, SBI Investment, and British Patient Capital, OQC blends academic excellence, financial strength, and sovereign oversight. Its Quantum-Computing-as-a-Service (QCaaS) model makes secure quantum access available to enterprises, governments, and researchers, while aligning with European sovereignty goals and NATO’s Emerging Disruptive Technology priorities. #OxfordQuantumCircuits #OQC #PeterLeek #IlanaWisby #ColinBell #OxfordScienceEnterprises #LansdownePartners #UTEC #SBIInvestment #BritishPatientCapital #AWS #Equinix #QuantumComputing #DefenceFinanceMonitor https://lnkd.in/dKVKYYe3
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💻 PSIQUANTUM RELEASES ITS FIRST QUANTUM SOFTWARE 💻 ❓ What is it? PsiQuantum is building the world’s first commercial, scalable quantum computer and is already signing agreements with future clients. But “hardware” alone is not enough — new software is also required. To this end, the company has released Construct — a toolkit that enables developers to write algorithms a quantum computer can understand. ❗ Why does it matter? PsiQuantum is focused not only on building the technology but also on ensuring it can scale. By launching Construct, the company is creating early demand, nurturing an ecosystem, and preparing developers to work with its future quantum computer. PsiQuantum aims to deliver the first fully-fledged million-qubit quantum computer as early as 2028–2029 — the most ambitious timeline among competitors. Backed by the largest funding in the field, the company stands as the leading candidate to achieve the next major technological breakthrough. More at the Sky Cliff Portal: https://lnkd.in/e4Qi23es The Sky Cliff Platform serves as a comprehensive portfolio monitoring solution for the Late-Stage Private Equity Market (pre-IPO), offering independent informational services. Please note that Sky Cliff Professionals does not provide investment or tax advice. #SecondaryMarket #LateStage #PsiQuantum
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𝐃𝐚𝐲-𝟓 𝐨𝐟 𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐐𝐨𝐡𝐨𝐫𝐭-𝟑 𝐨𝐟 𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠! 📌 𝐓𝐨𝐝𝐚𝐲’𝐬 𝐅𝐨𝐜𝐮𝐬: • Tensor Products • Inner/Outer Products • Unitary Matrices These concepts form the mathematical backbone of quantum computing. From combining quantum states (tensor products) to measuring overlaps and transformations (inner/outer products & unitaries), mastering them is essential for building and analyzing quantum algorithms. 🌐 For resources: www.qucode.in 💬 Join the discussions on our Discord community. Daily submission form : 🔗 [ https://lnkd.in/gKhZfW2W ] #QuantumComputing #QuantumLearning #LinearAlgebra #TensorProducts #Unitary #QuantumAlgorithms #Qohort3 #STEM #QuCode #QuantumIndia #NationalQuantumMission #DeepTech #FutureOfComputing #QuantumStartups #ResearchAndInnovation #LearnQuantum #QuantumCommunity #NextGenTech
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𝐃𝐚𝐲-𝟓 𝐨𝐟 𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 | 𝐐𝐨𝐡𝐨𝐫𝐭-𝟑 𝐨𝐟 𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 🚀QuCode 📌 Today’s Focus: Tensor Products Inner/Outer Products Unitary Matrices These concepts form the mathematical backbone of quantum computing. 🔹 Tensor Products → allow us to combine quantum states into multi-qubit systems. 🔹 Inner & Outer Products → measure overlaps, projections, and relationships between states. 🔹 Unitary Matrices → represent quantum transformations that preserve probability. Mastering these fundamentals is key to building and analyzing quantum algorithms and understanding how qubits interact in complex systems. Onward to deeper quantum insights! ⚡ #QuantumComputing #QuantumLearning #TensorProducts #UnitaryMatrices #Qohort3 #STEM #QuCode #QuantumIndia #NationalQuantumMission #DeepTech #FutureOfComputing #QuantumStartups #ResearchAndInnovation #LearnQuantum #QuantumAlgorithms #QuantumCommunity #NextGenTech #DigitalIndia #TechForGood
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𝐃𝐚𝐲-𝟓 𝐨𝐟 𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 | 𝐐𝐨𝐡𝐨𝐫𝐭-𝟑 𝐨𝐟 𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 🚀 QuCode 📌 Today’s Focus: Tensor Products Inner/Outer Products Unitary Matrices These concepts form the mathematical backbone of quantum computing. 🔹 Tensor Products → allow us to combine quantum states into multi-qubit systems. 🔹 Inner & Outer Products → measure overlaps, projections, and relationships between states. 🔹 Unitary Matrices → represent quantum transformations that preserve probability. Mastering these fundamentals is key to building and analyzing quantum algorithms and understanding how qubits interact in complex systems. Onward to deeper quantum insights! ⚡ #QuantumComputing #QuantumLearning #TensorProducts #UnitaryMatrices #Qohort3 #STEM #QuCode #QuantumIndia #NationalQuantumMission #DeepTech #FutureOfComputing #QuantumStartups #ResearchAndInnovation #LearnQuantum #QuantumAlgorithms #QuantumCommunity #NextGenTech #DigitalIndia #TechForGood
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🚀 Day 08 of Learning Quantum Computing | Qohort-3 of Quantum Learning QuCode 📌 Today’s Focus: 🔹 Single-qubit states 🔹 Quantum state visualization Step by step, we’re diving deeper into the heart of quantum computing — understanding how individual qubits behave and how we can represent their states visually. These insights are crucial for building intuition around quantum systems. Consistency and curiosity are the keys as we move forward in this 21 Days Quantum Challenge. Let’s keep exploring, learning, and pushing the boundaries of what’s possible! ⚛���💡 #QuantumComputing #QuantumLearning #SingleQubit #QuantumVisualization #Qohort3 #STEM #QuCode #QuantumIndia #NationalQuantumMission #DeepTech #FutureOfComputing #QuantumStartups #ResearchAndInnovation #LearnQuantum #QuantumAlgorithms #QuantumCommunity #NextGenTech #DigitalIndia #TechForGood
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Day 18: Bridging the Gap – The Power of Hybrid Quantum-Classical Computing The #21DaysOfQuantum journey with QuCode is exploring one of the most practical and immediate approaches to leveraging quantum power today. We're moving beyond pure quantum algorithms to a collaborative model that combines the best of both worlds. Today’s Focus: Hybrid Quantum-Classical Computing. Instead of waiting for a single, massive quantum computer to solve a problem from start to finish, this approach breaks the work into parts. It uses a quantum computer for what it does best—manipulating complex quantum states and generating probability distributions—and a classical computer for what it does best—orchestrating the process, optimizing parameters, and analyzing results. ▫️ How It Works: A classical computer runs a central optimization loop. For each step, it: 1. Sends a set of parameters to the quantum processor. 2. The quantum computer runs a short circuit (an ansatz) and measures the outcome. 3. The result is sent back to the classical computer. 4. The classical computer analyzes the result and uses an optimization algorithm to update the parameters for the next round. This cycle repeats until the system converges on an optimal solution. ▫️ Why It Matters Now: This model is perfectly suited for the current era of Noisy Intermediate-Scale Quantum (NISQ) hardware. It uses short, shallow circuits that are less vulnerable to decoherence and noise, making it possible to get useful results from today's quantum processors. This hybrid approach is the foundation for promising near-term applications like: + Variational Quantum Eigensolver (VQE): For simulating molecules and materials. + Quantum Approximate Optimization Algorithm (QAOA): For solving complex optimization problems. + Quantum Machine Learning (QML): Where a quantum circuit can be used as a feature map or a trainable model. It's a powerful reminder that the quantum future isn't about replacement, but about integration and collaboration. #QuantumComputing #HybridComputing #NISQ #VQE #QAOA #QuantumMachineLearning #QuantumAlgorithms #LearnInPublic #STEM
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📡 🚀 (New Paper) #Quantum Computing & #AI & #6G #Quantum Computing for Large-scale Network #Optimization in #6G-and-beyond [Telefónica][Telefónica Scientific Research] ✅ Published in IEEE Communications Magazine -> https://lnkd.in/dUcTzfCD ✅ Open access paper -> https://lnkd.in/d8PWQ5F5 At the intersection of #Quantum Computing, #AI and Future #Communication #Networks ———————————————————————— #Quantum #AI #QuantumComputing #QuantumAI #QuantumML #artificialintelligence #QuantumCommunications #QUBO #5g #6g #HybridQuantum #Telecommunications #Communications #Networks #RAN #CRAN #EdgeComputing #Discovery #Research #ScientificResearch #Innovation #Telefonica #TelefonicaInnovacionDigital #TelefonicaScientificResearch
Pushing the limits of future mobile networks requires rethinking how we approach optimization at scale. Many of the challenges in 6G-and-beyond, from resource allocation to mobility management, boil down to solving extremely large, multi-objective optimization problems that are often intractable with classical methods. In our recent work "Quantum Computing for Large-scale Network Optimization: Opportunities and Challenges" with Sebastian Macaluso, PhD, Giovanni Geraci, Elias F. Combarro, Sergi Abadal, Sofia Vallecorsa and Eduard Alarcon, we explore how quantum computing could provide new tools to tackle these problems. We focus on graph-centric formulations, which unify a wide range of network optimization tasks, and discuss how quantum annealing and quantum reinforcement learning might be leveraged in this context. This scientific article does not claim quantum computing is a silver bullet but rather that current algorithms and hardware have evident limitations. However, we believe that it is time to start mapping out where Quantum Computing could make a difference, identifying the classes of problems where its potential advantages align with real-world network demands. If you are curious about the intersection of quantum technologies and future communication networks, we would be glad if you gave it a read: 📄 (IEEE) https://lnkd.in/dUcTzfCD 📄 (Open-access version) https://lnkd.in/d8PWQ5F5 #TelefonicaScientificResearch #Discovery #TelefonicaInnovacionDigital #Quantum #Telecommunications #QuantumComputing
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