The hybrid tensor network (hTN) abstraction is introduced—a unified representation capturing quantum-classical computation—realized in qTPU, an end-to-end sys-tem comprising: the qTPU programming model for declarative hybrid computation specification; the qTPU compiler for holistic hTN optimization balancing classical cost against quantum error; and the qTPU runtime for scalable execution across heterogeneous QPUs and classical accelerators.
These quantitative findings demonstrate that tightly coupled hybrid co-processing, physically adjacent to the control electronics, is critical for extending the computational bound of Noisy Intermediate-Scale Quantum (NISQ) devices.
Akshay Joseph, R. Delhibabu· Frontiers of Computer Scienc...· 0 citations
A practical baseline for VQLS in hybrid quantum--HPC computation fluid dynamic (CFD) workflows is established and the remaining bottlenecks for larger problems are identified.
Chao Lu, M. G. Meena, Eduardo Antonio Coello Pérez et al.· 2 citations
The Quantum Execution Locality Framework is introduced, a qualitative framework for characterizing hybrid quantum-classical workflows according to recurring dataflow structures and quantum execution locality, the extent to which computation remains resident on the Quantum Processing Unit (QPU) before host intervention...
Ryan Landfield, Jordan J. Winetrout, Michael A. Sandoval· 0 citations
LLQM (Low-Level Quantum Machine), a profiling-driven meta-framework for quantum-classical pipelines that decomposes pipelines into fine-grained tasks and continuously profiles their CPU/GPU, memory, QPU, and queue dependencies alongside real-time hardware states, is presented.
Ayush Bansal, Owen Cochell, Santiago Núñez-Corrales et al.· 0 citations
Today's Quantum Processing Units (QPUs) are too small and too noisy to solve large combinatorial optimization problems directly, so practical hybrid solvers split a problem into pieces and iterate a decompose-solve-aggregate loop over whatever backends are available: classical heuristics, simulators, emulators, or a QP...
Giuliana Siddi Moreau, M. Clemente, Lorenzo Pisani et al.· 0 citations
This work formalizes CLOPS_h (Circuit Layer Operations Per Second) as a holistic speed benchmark defined over layered, hardware-aware circuits, and shares its layer decomposition with scalable layer-fidelity (LF) quality benchmarks, enabling coherent interpretation of speed and quality without conflating the two.
A. Wack· 0 citations
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