RT @HPCwire: Classiq and MegazoneCloud Sign MOU to Expand Quantum Development and Education.#Classiq #QuantumComput….

Tired of writing every quantum algorithm from scratch?. The Classiq Library has your back:. 📷 Dozens of ready-to-use quantum apps. 📷 Full debugging & visualization. 📷 Built into VSCode + JupyterLab. 📷 No setup. Persistent workspace. Signup, run, remix, contribute →.

Using Qmod you will: .1. Write much faster. 2. Get optimized results without effort. 3. Get beautiful visualizations of your programs. Get started here >>

Introducing Qmod - A high level expressive language for quantum, that will make your life easier. More details here >>

We look forward to participating in the Future Leaders in Quantum (FLIQ) virtual hackathon hosted by AI for Good next weekend! 🤩 .If you haven't yet registered, it's not too late. Sign up and put your quantum skills to the test solving the Classiq challenge. See you there!.

Some great contributions were recently added by our community members to the Classiq library! .Ceck out the new BPDE algorithm, Quantum Key Distribution (QKD) protocol, and efficient block encoding circuits for quantum walks on structured graphs notebooks 😎

Join our workshop tomorrow about Designing Quantum Algorithms with Classiq, as part of the Future Leaders in Quantum (QC-FLIQ) Hackathon prep!. Learn about Classiq's quantum programming paradigm shift and how to use our high-level platform to model, optimize, and run quantum

Looking for your next quantum challenge with Classiq?. #Project11 has announced the #QDayPrize — 1 Bitcoin (~$85,000) for the first quantum implementation of Shor’s algorithm that breaks elliptic curve cryptography (ECC). With Classiq’s high-level abstraction and optimized

New QAOA notebooks are available in the Classiq Library!. Optimization is one of quantum computing’s most promising frontiers—and QAOA is leading the charge. Our new notebooks showcase high-level, modular implementations of:. 📌 MaxCut – a classic graph-partitioning problem,

The @nqcc_official hackathon report is out!.We’re proud to share that teams using Classiq took 1st and 3rd place 🏆.A clear demonstration of how Classiq’s high-level approach sets a new standard for building sophisticated quantum algorithms. 👏 Congrats to all participants &.

Co-founder and CTO of Classiq, Dr. @yehuda_naveh , in a conversation with @aron_brand about transforming quantum software from hard-to-access gate-level logic to high-level, intuitive tools. Learn about Classiq's true quantum compiler, operating system, and integrated.

Big tech is investing heavily in quantum breakthroughs, unlocking possibilities like:. - Optimized supply chains.- Self-healing materials.- Ultra-efficient batteries.- Faster drug discovery.- Post-quantum cybersecurity. The future of quantum computing is coming fast. Are you.

Master Hybrid Quantum Algorithms with Classiq. Hybrid quantum algorithms like QAOA, VQE, and QNN are revolutionizing quantum computing—combining classical and quantum computation for enhanced performance. At Classiq, we make it easy to design, debug, and execute hybrid

How do you turn a 24-hour hackathon project into a larger, more complex initiative?. Check out this deep follow-up analysis from Eason Xie, exploring the winning solution from #iQuHack @MIT hackathon! His blog post dives into new directions with engaging visualizations,

We're having a busy time at @APS March Meeting with 3 talks on quantum algorithm design & optimization!. Don’t miss our experts:.🟢 Making Quantum Algorithms Scalable – Lior Preminger.📅 Thurs, Mar 20 | 🕘 9:00 AM | Room 258A (Level 2). 🟢 Visualization of Large Quantum

Quantum AI is coming. Are you ready?. By combining quantum computing with AI, we could see faster model training, advanced pattern recognition and other breakthroughs in fields like finance, drug discovery and logistics. Read more in @CNET: #QuantumAI.

As quantum computing evolves, so does the complexity of quantum algorithms—making high-level programming and smarter compilation techniques essential. Check out our latest arXiv paper, which introduces a memory-optimized compilation algorithm that models quantum programs as.