EQE-QAOA reduces qubit count for QAOA while exactly preserving optimization performance by confining dynamics to an invariant subspace and applying an isometric re-encoding.
A review on quantum approximate optimization algorithm and its variants
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RFOX maintains a flat spectral gap via non-stoquastic XX catalyst plus analytic counter-diabatic ZX driving, yielding near-optimal solutions on random-field Ising models with up to 10x fewer Trotter steps.
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EQE-QAOA: An Equivalence-Preserving Qubit Efficient Framework for Combinatorial Optimization
EQE-QAOA reduces qubit count for QAOA while exactly preserving optimization performance by confining dynamics to an invariant subspace and applying an isometric re-encoding.
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RFOX (Rotated-Field Oscillatory eXchange) quantum algorithm: Towards Parameter-Free Quantum Optimizers
RFOX maintains a flat spectral gap via non-stoquastic XX catalyst plus analytic counter-diabatic ZX driving, yielding near-optimal solutions on random-field Ising models with up to 10x fewer Trotter steps.