Speaker
Description
Quantum computing is emerging as a powerful tool in Nuclear Physics, with a growing number of algorithms and applications developed. However, the high cost of encoding fermionic operators makes the algorithms challenging for NISQ devices. In this work, we introduce an encoding scheme based on pairing nucleon modes with opposite magnetic quantum number m. This approach reduces the complexity of the encoding, while
maintaining good accuracy, in systems where pairing interaction dominates. Furthermore, we demonstrate a computational advantage of up to three orders of magnitude in CNOT gate count using a Trotterized Quantum Adiabatic evolution, compared to standard Jordan-Wigner encoding. Our approach paves the way for more efficient quantum simulations of nuclear structure in both digital and hybrid quantum computing platforms.
