Speaker
Description
Building upon the Quasiparticle mapping framework for nuclear many-body systems introduced by E. Costa, this talk addresses the algorithmic complexity and experimental validation of these protocols on quantum hardware.
We first present a complexity analysis comparing the QP hard-core boson encoding against standard fermionic mappings (Jordan-Wigner). We demonstrate that the QP framework significantly reduces circuit depth and gate count, a crucial advantage for minimizing noise accumulation in NISQ devices.
Experimentally, we report a cross-architecture benchmark. On the superconducting BSC MareNostrum-Ona processor, we discuss energy measurement protocols and the impact of symmetry-based error mitigation. Furthermore, we present the successful execution of the full QP-ADAPT-VQE protocol on IonQ trapped-ion hardware. Introducing a physics-informed measurement strategy reconstructing the wavefunction, we achieve ground state fidelities exceeding 99.9% and recover the ground state energy with an accuracy of 0.2%. These results validate the potential of quasiparticle encodings to perform high-precision nuclear simulations on near-term devices.
