Adaptive-frequency resonate-and-fire neurons perform sample-by-sample spectral estimation for FMCW radar, with memory scaling by number of targets rather than signal length.
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Apollo is a room-temperature 10000-node CMOS neuromorphic chip whose p-qubit network emulates transverse-field quantum annealing via Suzuki-Trotter and reportedly achieves lower energies than cryogenic QA on 3D spin-glass benchmarks across 300 realizations.
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Adaptive-Frequency Resonate-and-Fire Neurons for Spectral Estimation of Streaming Radar Signals
Adaptive-frequency resonate-and-fire neurons perform sample-by-sample spectral estimation for FMCW radar, with memory scaling by number of targets rather than signal length.
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Quantum-Driven Neuromorphic Computing for Million-Qubit-Scale Workloads
Apollo is a room-temperature 10000-node CMOS neuromorphic chip whose p-qubit network emulates transverse-field quantum annealing via Suzuki-Trotter and reportedly achieves lower energies than cryogenic QA on 3D spin-glass benchmarks across 300 realizations.