Come and meet our team at IEEE Quantum Week!. All during the week we will be at booth #200 at the exhibition floor, and in the following events:. ⭐ Monday, Sep 1st, at 3 p.m. Ron Cohen will chair the session “Compiling for Fault Tolerant Quantum Computing”. ⭐ Tuesday, September

You know the feeling when you need to install PyTorch, load a massive dataset, or run memory-intensive simulations and your browser-based VSCode environment slows to a crawl. Right when you're in flow. So we built dynamic resource management that scales in real-time. When you

Join millions who have switched to Grok.

IEEE Quantum Week is around the corner. Join us on 📅 Tuesday, September 2, for the Practical Quantum Algorithm Design with Qmod tutorial. Ahead of the session, here is why we use Qmod and the Classiq SDK:. High-level, functional design:.Describe the algorithmic intent

Tired of spending more time being a quantum programmer than doing actual chemistry? .Well, that’s over. We just solved that problem entirely. Quantum chemists can finally focus on chemistry instead of quantum programming. Our new Chemistry interface creates a direct path from

#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

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

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

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

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

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

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

🚀 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

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.

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

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

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: #quantumcomputingQmod.

SoftBank Vision Fund 2 Makes Strategic Investment in Classiq, Expanding Series C.@QuantumDaily

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