The National Center for Supercomputing Applications (NCSA) Industry Conference convenes researchers, technology providers and industry leaders who use advanced cyberinfrastructure (CI) to accelerate t...

Ecology & Evolution is a broad open access journal welcoming research in ecology, evolution, and conservation science, and providing a forum for evidence-based views.

Ecology & Evolution is a broad open access journal welcoming research in ecology, evolution, and conservation science, and providing a forum for evidence-based views.

For IT leaders mapping out the next five to ten years of computational strategy, the true business value of quantum will not be unlocked by independent quantum processors operating in a vacuum. Instead, the future lies in the seamless orchestration of hybrid cyberinfrastructure—where quantum processing units (QPUs), graphics processing units (GPUs), and classical high-performance computing (HPC) environments operate in tandem. This paradigm shift is exactly what is driving the latest strategic investments at the Pittsburgh Supercomputing Center (PSC). ### **Moving beyond standalone quantum systems** For years, the narrative surrounding quantum computing has focused heavily on the hardware timeline: counting qubits, minimizing error rates, and anticipating the arrival of fault-tolerant systems. While those milestones remain critical, Dr. Bruno Abreu, the Director of Research & Development at PSC, highlights a more immediate operational challenge: integration. Enter **TangleLab** , a groundbreaking hybrid quantum-classical supercomputing platform led by the PSC. Backed by a $5 million grant from the U.S. National Science Foundation (NSF) and built in partnership with HPE and Rigetti Computing, TangleLab serves as a national testbed. Its core goal is to understand how QPUs can be tightly integrated with classical HPC systems to manage complex, multi-tiered workflows. “We are not deploying a standalone quantum computer,” Abreu notes. “Our goal is to make TangleLab the prototype open platform for a future where quantum information processing and distribution are core elements of advanced cyberinfrastructure.” For CIOs, this strategy underscores a vital truth: quantum will not replace your classical infrastructure. Instead, it will act as a highly specialized accelerator. Just as GPUs revolutionized machine learning workloads by taking over parallel processing tasks from CPUs, QPUs will step in to handle highly specific, mathematically complex sub-problems that classical binary logic struggles to solve. ### **Defining “quantum utility” for the enterprise** A key theme of a This Week in HPC interview is the shift from pursuing abstract “quantum supremacy” to achieving practical “quantum utility.” In an enterprise context, quantum utility occurs when a hybrid system delivers an optimized solution—whether measured by speed, accuracy, cost, or energy efficiency—that classical infrastructure cannot achieve alone. By pairing Rigetti quantum hardware with HPE advanced supercomputing architectures and classical GPUs, TangleLab is designed to tackle specialized optimization and simulation problems. The target application areas have direct corollaries in the commercial sector: * **Advanced chemistry and materials science:** Accelerating molecular modeling for pharmaceuticals, energy storage, and manufacturing. * **Complex optimization tasks:** Solving multi-variable logistical, supply chain, and financial risk problems. * **Cryptography and security:** Preparing enterprise data architecture for the post-quantum encryption landscape. By investigating these hybrid quantum-classical workflows today, PSC is laying the software and algorithmic groundwork required to make quantum resources composable and scalable for real-world scientific and industrial applications. ### **Cultivating a quantum-ready workforce** Beyond the technical hurdles of hardware and software integration, Dr. Abreu highlights a critical bottleneck that every CIO must confront: the talent gap. Developing applications for a hybrid supercomputing environment requires an entirely new blend of skills. Engineers must understand classical HPC optimization, AI/ML pipelines, and quantum circuit design simultaneously. TangleLab is addressing this by functioning as an open educational resource, offering hands-on access, workshops, training, and consulting for researchers and students. For forward-thinking IT leaders, the takeaway is clear: the time to build a quantum-ready workforce is now. Organizations that begin upskilling their data scientists and infrastructure architects on hybrid frameworks today will be positioned to seize a definitive competitive advantage as quantum hardware matures. ### **3 key takeaways for enterprise tech leaders** 1. **Quantum is an accelerator, not a replacement:** Do not wait for a standalone quantum savior. The future of enterprise compute is hybrid, requiring orchestrations between CPUs, GPUs, and QPUs working together on complex workflows. 2. **Focus on practical utility over theoretical supremacy:** Look for immediate areas where “quantum utility” can optimize existing business processes—such as logistics optimization, molecular simulation, or financial risk modeling. 3. **The workforce must be upskilled today:** The transition to quantum-classical computing is as much a human talent challenge as a hardware one. Enterprise IT leaders should proactively build pipelines and training programs around hybrid computing concepts. ### **Listen to the full episode** To dive deeper into how the Pittsburgh Supercomputing Center is pioneering the integration of quantum technologies into the modern supercomputing environment, listen to the complete discussion with Dr. Bruno Abreu on This Week in HPC Episode 404: Quantum at PSC on SoundCloud. The Pittsburgh Supercomputing Center (PSC) actively incorporates AMD architecture across its HPC platforms. Bridges-3, is slated to be built by HPE and will leverage high-core-count AMD EPYC™ CPU nodes for massive parallel processing. The center operates an AMD Heterogeneous Accelerated Compute Cluster (HACC), which features dual AMD EPYC 9654 96-core processors paired with 16 AMD Instinct™ MI210 GPUs and 8 AMD Alveo™ V80 compute accelerator cards. Bridges-2, relies on HPE Cray architecture, deploying AMD EPYC 7742 64-core processors (128 cores per node) across its primary computing resources. Learn more at https://www.psc.edu/. ************* _HPE and AMD are partnering to deliver the next generation of AI and supercomputing infrastructure. Combining HPE’s deep expertise in large-scale system design with AMD EPYC™ processors and AMD Instinct™ accelerators, the two companies help customers build platforms capable of supporting the most demanding AI, modeling, simulation, and analytics workloads. Whether accelerating scientific research, enabling digital engineering, or training advanced AI models, HPE and AMD focus on what matters most: faster insights, greater efficiency, and the flexibility to scale. Together, they provide the technology foundation organizations need to solve complex problems, drive discovery, and create lasting business and societal impact._

Ecology & Evolution is a broad open access journal welcoming research in ecology, evolution, and conservation science, and providing a forum for evidence-based views.

Careers Home is hiring a Director, Research Cyberinfrastructure Center in Irvine, California. Review all of the job details and apply today!

Ecology & Evolution is a broad open access journal welcoming research in ecology, evolution, and conservation science, and providing a forum for evidence-based views.

Experts from San Diego State University, Arizona State University and University of Utah join forces to develop a new privacy-enhancing cybersecurity infrastructure   Read the original story from San ...

ACCESS student program interns spend the summer exploring high-performance computing resources and opportunities.

Ecology & Evolution is a broad open access journal welcoming research in ecology, evolution, and conservation science, and providing a forum for evidence-based views.