Systematic D-Wave experiments across Max-Cut, Number Partitioning, and sparse clustering show reverse annealing yields larger efficiency gains than longer forward anneals, with benefits growing for larger, more complex instances.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
quant-ph 2years
2026 2representative citing papers
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.
citing papers explorer
-
Extending the computational reach of Quantum Annealing using Reverse Annealing
Systematic D-Wave experiments across Max-Cut, Number Partitioning, and sparse clustering show reverse annealing yields larger efficiency gains than longer forward anneals, with benefits growing for larger, more complex instances.
-
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.