Effective-Temperature Reduction of Ising Spin-Glass Problems with Quantum Annealing Correction

Quantum annealers can sample increasingly larger and highly connected problems. However, the quality of collected samples can be affected by decoherence and analog control errors. We implement and benchmark quantum annealing correction (QAC) on the topology of the D-Wave Advantage quantum annealer, which yields up to 1,300 error-corrected qubits. We demonstrate that QAC outperforms unprotected quantum annealing in finding ground state solutions to random Ising spin glass problems by effectively reducing the temperature of the annealed samples. For the largest sizes available, QAC is also capable of sampling low energy states more efficiently than unprotected quantum annealing, particularly when the disorder of the spin glass problems is susceptible to analog errors.