Analog Quantum Gate Preparation for Single-Qubit Addressability
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Solution Overview
Problem
Analog quantum computers face challenges in implementing single-qubit addressability and approximating digital gates due to always-on interactions, limiting their connectivity and operational flexibility.
Innovation Solution
A method involving a combination of global and local rotations, along with a variational approach, is used to approximate single-qubit gates and CZ gates, enabling single-qubit addressability and approximating networks like SWAP gates, even in systems with always-on interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If global rotations are applied to all particles in an analog quantum computer, then the system can implement quantum operations, but single-qubit addressability is lost and connectivity is limited
Solution Approach 1:
The patent segments the quantum operation into three distinct rotation components: a first global rotation applied to all particles, a second local rotation applied to a specific subset of particles, and a third global rotation applied to all particles. This segmentation allows the system to achieve single-qubit addressability (improving adaptability) while maintaining a relatively simple connectivity model (managing device complexity), as the local rotation can be applied to any desired subset of qubits without requiring direct physical connectivity between all qubit pairs.
2Adaptability or versatility
If digital gates are approximated in analog quantum systems, then operational flexibility is improved, but manufacturing precision and gate fidelity deteriorate
Solution Approach 1:
The patent employs parameter changes by optimizing the rotation angles (θ₁, θ₂, θ₃) and pulse durations to minimize the difference between the implemented analog operation and the target digital gate. The variational optimization process adjusts these parameters iteratively to achieve high gate fidelity. This allows the system to maintain operational flexibility (ability to implement various gates) while achieving manufacturing precision (high fidelity), as the optimized parameters compensate for the inherent approximations in the analog implementation.
3Measurement precision
If variational optimization is used to determine pulse sequences, then gate approximation accuracy is improved, but computation time and resource requirements increase
Solution Approach 1:
The patent applies preliminary action by using the analytical expression for the effective rotation angle to guide the variational optimization process. Rather than performing a completely blind optimization, the analytical relationship provides a starting point and constraint structure that accelerates convergence. This reduces the computational time required to achieve high gate approximation accuracy, as the optimization algorithm can more efficiently navigate the parameter space using the analytical guidance.
Data Source
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AI summary
A method of determining a pulse sequence to apply an approximation of a network exhibiting all-to-all connectivity to a plurality of particles in an analog quantum computer, wherein a set of particles having one or more particles of the plurality of particles is associated with a corresponding qubit of a plurality of qubits, the method comprising: determining one or more single-qubit gates approximated in an analog system; determining one or more CZ gates approximated in an analog system; and determining the pulse sequence to apply an approximation of the network by combining the one or more single-qubit gates and the one or more CZ gates.