And… that's a wrap on the 2025 UK National Quantum Hackathon! We loved watching ambitious teams push the boundaries of what’s possible under tight constraints. The range of creative ideas we witnessed was truly inspiring, from combinatorial optimization and healthcare to

Our very own Shir Peri Lichtig and Guy Sella are traveling to India this week to attend the Quantum India Bengaluru Summit Guy will be running a case session on how quantum computing can improve fraud detection. Here are the details: Date: August 1, 2025 Time:  – PM Session: Quantum Use Case

Pauli operators in quantum computing just got cleaner. Finally feels like actual programming instead of quantum assembly. What's changed? 🔥Intuitive syntax (looks like math!) 🔥Seamless expectation value calcs 🔥Less boilerplate, more algorithms This is the dev experience

SoftBank Vision Fund 2 Makes Strategic Investment in Classiq, Expanding Series C thequantuminsider.com/2025/07/30/sof… The Quantum Insider

SoftBank recently completed a benchmarking report exploring quantum languages and quantum circuit compression 👉 Qmod ➕ Classiq optimization 🟰 Compact circuits that mitigate noise and reduce hardware usage costs: softbank.jp/en/corp/techno… #quantumcomputingQmod

Debugging quantum programs used to feel like working blindfolded. 👨🏻‍💻 You'd write Qmod code, synthesize it, and pray the visualization gave you clues about what actually happened. Our new Quantum Program Visualization just ended that nightmare. What's new: ✅Numeric assignments

Picture this: You synthesize a quantum program, excited to explore the results. You click to load the visualization and...browser crash. The cause? A 1.2GB JSON file. Our "logical" fixes all failed: ❌ Binary encoding ❌ Streaming chunks ❌ Compression tricks Then one

Real-world impact. One function, different Python params = multiple optimized quantum circuits automatically Now you can: 🔥Use Python lists/NumPy directly in quantum functions 🔥Generate different circuits from Python parameters 🔥Leverage the entire Python ecosystem in

🚀 Quantum development just got a major upgrade! Strategic integration with IBM Cloud is now LIVE. One unified workflow, zero friction. The future of quantum programming is collaborative, integrated, and frictionless. This is just the beginning. #QuantumComputing #IBM

Quantum Amplitude Estimation just got practical. Traditional QAE = resource nightmare IQAE = same accuracy, fraction of the cost What's new: 👉Hybrid execution that actually scales 👉Built-in SDK utility 👉Auto handling: model → synthesis → execution → results 👉 Perfect

Molecular simulation researchers have been stuck with rigid, predefined workflows for too long. Not anymore. We've completely refactored our quantum chemistry application in the Classiq SDK, moving all classical preprocessing and quantum functions to the frontend. This means

So… we realize quantum simulations don't actually need all those amplitudes 🤔 Most real-world quantum apps only care about specific variable values, not every possibility in the quantum state space. So why lug around all that computational baggage? Enter our new filtering

When you're building quantum circuits, everything's smooth until complexity hits and you start hitting scalability walls 🧱 Users want bigger circuits, but compilation times stretch longer. The breakthrough: We stopped trying to perfect the old approach and started designing

We just demonstrated something remarkable 🔥 We used quantum algorithms to solve the linearized Vlasov-Ampère systems that govern how plasma perturbations evolve under electric fields. The beauty of high-level quantum programming? Complex plasma physics equations become

Classiq is now AI compatible Classiq Library and SDK are fully compatible with AI agents, allowing them to carry out quantum development directly within integrated development environments. This enables seamless use in AI-first IDEs such as Cursor, as well as in VSCode with AI

#IEEE Quantum Week is just around the corner, we’re excited to showcase the paper we wrote on stage. Option pricing = figuring out fair value for contracts that give holders the right to buy/sell assets at predetermined prices. The hard part? Accurately estimating potential