Quantum Machine Learning and Optimisation in Finance by Packt

Quantum Machine Learning and Optimisation in Finance by Packt

Author:Packt
Language: eng
Format: epub
Tags: MAT042000 - MATHEMATICS / Optimization, COM044000 - COMPUTERS / Neural Networks, COM062000 - COMPUTERS / Data Modeling & Design
Publisher: Packt
Published: 2022-10-21T12:43:50+00:00


The effect of this procedure is to change the sign of the state only when both ions are initially excited as shown in Table 6.5.

Table 6.5: Two-qubit gate (CPHASE) with the trapped ion qubits.

We note that the state of the CM mode is restored to the initial state (no phonon) after the process. The protocol realises the CPHASE two-qubit gate.

Trapped ion-based qubits are characterised by longer coherence time (how long the quantum state survives) and higher fidelity (accuracy of the gate operations) in comparison with the superconducting qubits. On the flip side, superconducting qubits enjoy orders of magnitude shorter gate times.



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