Top Tweets for #OpenQSE

about 2 months ago

A look at what's next for quantum. 💫 At QCUF 2026 last week @ORNLComputing Associate Lab Director Gina Tourassi highlighted @ORNL's vision for an open ecosystem connecting quantum computing, HPC, and AI to accelerate discovery. #QuantumComputing #OpenQSE #GenesisMission

OLCFGOV's tweet photo. A look at what's next for quantum. 💫

At QCUF 2026 last week @ORNLComputing Associate Lab Director Gina Tourassi highlighted @ORNL's vision for an open ecosystem connecting quantum computing, HPC, and AI to accelerate discovery.

#QuantumComputing #OpenQSE #GenesisMission https://t.co/Nzy7SBAUnc

176

OLCF @OLCFGOV

2 months ago

The final day of the 2026 Quantum Computing User Forum focused on #OpenQSE (Open Quantum-HPC Software Ecosystem), with today's sessions led by @ORNL's Amir Shehata. 🔗 More details: https://t.co/Bg8zLdFOgD #QuantumComputing #QuantumGenesis #BigScience

OLCFGOV's tweet photo. The final day of the 2026 Quantum Computing User Forum focused on #OpenQSE (Open Quantum-HPC Software Ecosystem), with today's sessions led by @ORNL's Amir Shehata.

🔗 More details: https://t.co/Bg8zLdFOgD

#QuantumComputing #QuantumGenesis #BigScience https://t.co/vEkAH3ZIS4

154

TechInnovation

@TechInnovationz

7 months ago

$IonQ The @IonQ_Inc software engineering leadership recently presented our architectural roadmap at the #OpenQSE Seminar Series, hosted by Oak Ridge National Laboratory. For stakeholders following the commercialization of quantum computing, the core takeaway is our strategic focus on system utilization, hybrid integration, and enterprise-grade scalability. Here is a look under the hood at how we are building a full-stack quantum provider: 📊 Maximizing Hardware ROI: The QPU is the most expensive component of any quantum system. To maximize throughput, our Quantum OS utilizes a multi-stage cooperative pipelining architecture. By fetching, compiling, and loading instructions concurrently across different user jobs and necessary system calibrations, we continuously feed the hardware and minimize idle QPU time. 🏗️ Scalable Emulation Infrastructure: We heavily leverage Kubernetes to build reproducible, full-system emulators. This allows our engineering teams to run full-stack integration tests and refine our schedulers purely in software, significantly accelerating development without tying up expensive, physical quantum hardware. ⚡ Enterprise-Grade Microservices: As we scale our cloud API for complex workloads, we utilize gRPC and Protocol Buffers. This ensures fast, strongly-typed, and backward-compatible communication across our services, actively driving down latency to support real-time hybrid workloads. 🌐 Commercial Hybrid Integration (QHPC): Quantum systems must seamlessly integrate with classical high-performance computing (HPC) environments. Our team is actively executing on this, building integrations with standards like QDMI and driving major hybrid computing projects involving partners like NVIDIA and Amazon. Executing this vision requires elite software engineering. Proud to be working alongside experts like Jiri Schindler, Spencer Churchill, and Guen Prawiroatmodjo to bridge the gap between classical systems and quantum hardware. Watch the full technical deep-dive via the OpenQSE GitHub repo here: https://t.co/Ea9kU5M3UJ And video : https://t.co/VwyjIoqNFd #IonQ #QuantumComputing #HPC #EnterpriseArchitecture #DeepTech

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