A vectorized sparse truncated state-vector simulator (CPU/GPU) recovers the mode of certain peaked quantum circuits by retaining far fewer than 2^n amplitudes via top-k or probability-mass truncation.
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The authors present Pilot-Quantum, a middleware for adaptive resource management in hybrid quantum-HPC systems, along with execution motifs and a performance modeling toolkit called Q-Dreamer.
Educational modules and Qibo implementations for simulating Bell inequality violations to teach entanglement, hidden variables, and non-locality.
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A Sparse and Truncated State Vector Simulator for Peaked Circuits
A vectorized sparse truncated state-vector simulator (CPU/GPU) recovers the mode of certain peaked quantum circuits by retaining far fewer than 2^n amplitudes via top-k or probability-mass truncation.
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Hybrid Quantum-HPC Middleware Systems for Adaptive Resource, Workload and Task Management
The authors present Pilot-Quantum, a middleware for adaptive resource management in hybrid quantum-HPC systems, along with execution motifs and a performance modeling toolkit called Q-Dreamer.