Qiskit: Open-Source Quantum Software for Experimentation and Integration

Fresh back from Austin, where I spent a day learning about Quantum. Learning Qiskit will be critical if you want to learn how to do things with Quantum computers.

Everyone talks about quantum hardware. Fewer talks about what sits between the hardware and the applications running on it. A recent release from Origin Quantum, a publicly downloadable #quantum_operating_system called #Origin_Pilot, puts the spotlight on a layer of the stack that has long been overlooked: the software infrastructure that manages scheduling, calibration, and hybrid classical-quantum workflows. It's not a breakthrough. It doesn't change the fundamental constraints of the NISQ era. But it's a meaningful signal that the quantum ecosystem is maturing beyond qubit counts and fidelity metrics, toward the kind of system-level thinking that eventually made classical computing scalable. Our research intern, Itamar Fink breaks it down in a clear, balanced piece on the Qbeat blog - what this release actually does, where it fits in the stack, and why the distinction between publicly available and open source still matters. Worth a read for anyone tracking the quantum value chain. https://lnkd.in/deXnNzC6

A #QuantumComputing software stack is meant to connect end users to actual quantum computers. So let’s connect! 🔗⚛️ Yesterday, we had a great meeting within the Munich Quantum Valley, focusing on the next steps in developing our Munich Quantum Software Stack #MQSS. On the lower levels of the stack, we already provide sophisticated tooling: #compiler infrastructure with numerous compiler passes supporting #superconducting, #IonTrap, and #NeutralAtom hardware (with #photonics as the next modality in progress). Together with our hardware interface #QDMI, this forms a powerful and flexible foundation. But the higher levels of the stack are just as important — because this is where we truly reach the #EndUsers. A variety of components already exist: #application‑level support, #benchmarking frameworks, #device selectors/predictors, #debuggers, and many more. Yesterday’s discussion focused on a key question: How do we properly #integrate all these pieces into one coherent software stack? The meeting marked the kick‑off for this integration effort, bringing together expertise from across the ecosystem. Looking forward to the next steps — and to connecting end users even more seamlessly with quantum hardware. Let’s build this together! 🤝⚛️

What does the current quantum software stack look like? Sara A. Metwalli shares the view from the forefront of this rapidly evolving field.

Over 50 years of software development based on classical computing, even if you have a functional quantum hardware, quantum software industry is emerging. #quantumcomputing #quantumsoftware

🔍 Explore next-gen quantum error correction with NVQLink, now publicly accessible via cudaq-realtime. Announced at #NVIDIAGTC, this new CUDA-Q API gives quantum developers open-source, turnkey access to GPU-accelerated supercomputing. Early benchmarks from leading U.S. national labs, QPU builders, and quantum software teams show order-of-magnitude reductions in decoding and calibration latency. Learn more: https://bit.ly/40OGfAq

🔍 Explore next-gen quantum error correction with NVQLink, now publicly accessible via cudaq-realtime. Announced at #NVIDIAGTC, this new CUDA-Q API gives quantum developers open-source, turnkey access to GPU-accelerated supercomputing. Early benchmarks from leading U.S. national labs, QPU builders, and quantum software teams show order-of-magnitude reductions in decoding and calibration latency. Learn more: https://nvda.ws/4c3XTq5

🔍 Explore next-gen quantum error correction with NVQLink, now publicly accessible via cudaq-realtime. Announced at #NVIDIAGTC, this new CUDA-Q API gives quantum developers open-source, turnkey access to GPU-accelerated supercomputing. Early benchmarks from leading U.S. national labs, QPU builders, and quantum software teams show order-of-magnitude reductions in decoding and calibration latency. Learn more: https://bit.ly/4v6RG4q

🔍 Explore next-gen quantum error correction with NVQLink, now publicly accessible via cudaq-realtime. Announced at #NVIDIAGTC, this new CUDA-Q API gives quantum developers open-source, turnkey access to GPU-accelerated supercomputing. Early benchmarks from leading U.S. national labs, QPU builders, and quantum software teams show order-of-magnitude reductions in decoding and calibration latency. Learn more: https://bit.ly/4uN9wt3

🔍 Explore next-gen quantum error correction with NVQLink, now publicly accessible via cudaq-realtime. Announced at #NVIDIAGTC, this new CUDA-Q API gives quantum developers open-source, turnkey access to GPU-accelerated supercomputing. Early benchmarks from leading U.S. national labs, QPU builders, and quantum software teams show order-of-magnitude reductions in decoding and calibration latency. Learn more: https://bit.ly/3PtgO4Y