Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz
–Neural Information Processing Systems
With the arrival of the Noisy Intermediate-Scale Quantum (NISQ) era, Variational Quantum Algorithms (VQAs) have emerged to obtain possible quantum advantage. In particular, how to effectively incorporate hard constraints in VQAs remains a critical and open question. In this paper, we manage to seamlessly combine the Hamming Weight Preserving ansatz with a topological-aware parity check on physical qubits to enforce error mitigation and further hard constraints. We demonstrate such a combination significantly outperforms peer VQA methods on both quantum chemistry problems and constrained combinatorial optimization problems e.g.
Neural Information Processing Systems
May-30-2025, 04:04:46 GMT
- Country:
- Asia > Middle East (0.14)
- Genre:
- Research Report > Experimental Study (0.93)
- Industry:
- Banking & Finance (0.45)
- Information Technology (0.67)
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