Tag: quantum annealing

A new classical preprocessing pipeline called SymLQA converts hard higher-order planar optimization problems into simple Ising form, achieving perfect success ...

Version 2.0.1 of SpinGlassPEPS.jl consolidates a Julia tensor-network solver for Ising-like optimization into a single package while adding truncation diagnostics, ...

Researchers have developed an embedding-aware noise framework that links qubit chain length to chain-break statistics on D-Wave hardware, revealing that ...

Researchers have developed a preprocessing framework that reduces arbitrary-order Ising-like Hamiltonians, shrinking combinatorial optimization problems before they are handed to ...

Researchers have shown that quantum annealers can train variational quantum algorithms by recasting parameter optimization as a QUBO problem, achieving ...