  Quantum computer is extensively used in solving financial problems. Quantum
amplitude estimation, an algorithm that aims to estimate the amplitude of a
given quantum state, can be utilized to determine the expectation value of
bonds as the logic introduced in quantum risk analysis. As the number of the
evaluation qubit increases, the more accurate the precise the outcome
expectation value is. This augmentation in qubits, however, also leads to a
varied escalation in circuit complexity, contingent upon the type of quantum
computing device. By analyzing the number of two-qubit gates in the
superconducting circuit and ion-trap quantum system, this study examines that
the native gates and connectivity nature of the ion-trap system lead to less
complicated quantum circuits. Across a range of experiments conducted with one
to nineteen qubits, the examination reveals that the ion-trap system exhibits a
two to three factor reduction in the number of required two-qubit gates when
compared to the superconducting circuit system.
