QCNEWS
TangleLab is a hybrid quantum classical testbed for workflow research, with construction at the Pittsburgh Supercomputing Center starting September 1, 2026 and full operations in 2027.
A $5 million National Science Foundation grant will put a 9-qubit Rigetti quantum processor inside the Pittsburgh Supercomputing Center, sharing a workload manager with classical HPC and GPU nodes starting September 1, 2026. The project, branded TangleLab by its three partners, is built for researchers who do not yet have a place to learn hybrid quantum-classical programming.
Nine qubits is small by industry standards. The Novera QPU in this build is a 9-qubit Ankaa-class superconducting chip with gate operations in the 50 to 70 nanosecond range. The partners are paying NSF to test low-latency plumbing, including compilation, workload orchestration, and shared scheduling, between a quantum processor and a classical supercomputer attacking the same problem. Rigetti press release
The funding runs through NSF's Advanced Computing Systems & Services program, Award #2537076, with construction at PSC's new data center scheduled to begin September 1, 2026 and full operations expected in 2027. PSC is jointly operated by Carnegie Mellon University and the University of Pittsburgh, which is why the announcement cleared both universities' news channels the same week as the company press release. Pittwire, CMU News
TangleLab is a research testbed, not a commercial cloud product. Rigetti supplies the quantum processor; HPE contributes the HPC infrastructure, GPU nodes, networking, and workload management; PSC hosts the system and runs access. The architecture is built to benchmark hybrid quantum-classical workflows, the pattern that industry expects to dominate when quantum hardware matures enough to be useful on real problems, and the one that almost no academic group has the full toolchain to practice on today. PSC
Two design choices put the project closer to a teaching reactor than a research instrument.
Access is allocated through a competitive proposal process, with dedicated research runtime balanced against real-time access for university courses and hands-on workshops. Most academic quantum systems are either shared instrument time at a national lab, or vendor cloud credits with educational discounts. A federally funded system that reserves block time for actual classroom use is rarer, and is the more interesting half of the access design.
The partners are also explicitly funding non-specialist consulting, training, and onboarding. The premise is that hybrid quantum-classical programming is a skill most researchers do not yet have, and a 9-qubit Novera running alongside a classical supercomputer is a tractable place to learn it before the system scales up. GlobeNewswire
TangleLab is not using a larger chip, on purpose. A 9-qubit Novera is large enough to run real hybrid-workflow benchmarks and small enough that compilation latency, gate calibration drift, and the cost of moving data between quantum and classical memory are all measurable, not noise. The chip count also keeps the system tractable as a teaching platform rather than a research instrument competing for cycles on a flagship machine.
The project is positioned against OSTP Memorandum M-25-34 and the National Science and Technology Memorandum NSTM-2 framework for FY2027 research priorities, federal language that has been pushing for hybrid quantum-HPC-AI integration as a national research target. The memo in detail is a separate research task; the announcement tells readers the project is positioned to feed into that pipeline. Quantum Computing Report
No primary release claims TangleLab will demonstrate quantum advantage, run a useful chemistry simulation, or beat a classical supercomputer at anything. The 9-qubit count makes those outcomes mathematically unreachable for now, and the press materials do not pretend otherwise.
The first proposal cycle will be the read on the access model: how many proposals arrive, how much of the dedicated runtime goes to graduate courses versus research groups, and whether the consulting pipeline actually moves non-specialists into hybrid-workflow competence. Construction begins September 1, 2026. Full operations are expected in 2027.