Atom-Trapping Site Layout for Fast Qubit Network Reconfiguration
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Solution Overview
Problem
The long calibration time required to modify the phase model on a spatial light modulator (SLM) for reconfiguring the geometry of qubit registers in quantum processors is detrimental to the efficient processing of multiple tasks, especially in applications like quantum machine learning and solving quadratic unconstrained binary optimization (QUBO) problems.
Innovation Solution
A method for determining parameters of atom-trapping sites that form a plurality of networks of qubits, using a computer-implemented approach to define a generic matrix of trapping sites and reservoir sites, allowing for efficient configuration of qubit networks that can process a set of predetermined tasks without requiring repeated SLM modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the phase model on the spatial light modulator is modified to reconfigure the geometry of qubit registers, then the quantum processor can adapt to different computational tasks, but the calibration time increases significantly (up to an hour)
Solution Approach 1:
The patent pre-calculates and stores optimal phase models for multiple common geometries (1D, 2D, and 3D arrangements) before actual quantum computations are needed. When a task requires a specific geometry, the system retrieves the pre-computed phase model from memory rather than performing time-consuming real-time calibration, reducing reconfiguration time from hours to minutes while maintaining adaptability across different computational tasks
Solution Approach 2:
The patent creates a universal phase model library that can serve multiple different computational tasks and geometry requirements. A single pre-computed phase model can be adapted to various tasks by selectively activating different trapping sites, eliminating the need for separate calibration procedures for each specific task and reducing overall calibration time while maintaining versatility
2Reliability
If the quantum processor is reconfigured for each specific task, then optimal performance for that task is achieved, but the processing time for multiple tasks increases due to repeated calibration
Solution Approach 1:
The system pre-computes and stores task-optimized phase models for various common geometries before actual quantum computations. When processing multiple tasks, the system retrieves the appropriate pre-optimized phase model from memory, maintaining task-specific optimization while eliminating repeated calibration overhead, thereby increasing multi-task processing throughput
Solution Approach 2:
The patent implements a dynamic task scheduling system that can quickly switch between different pre-computed phase models based on the current task requirements. This dynamic switching capability allows the quantum processor to maintain optimal performance for each task while minimizing reconfiguration time between tasks, balancing reliability and productivity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Significantly reduces the reconfiguration time of qubit networks by enabling the use of a common SLM pattern for multiple tasks, thereby enhancing the efficiency and flexibility of quantum processors in handling diverse computational tasks.
Implementation Method 1
Before passing through a focusing lens, the trapping beam is reflected onto a spatial light modulator (SLM) that gives the beam an adjustable phase pattern. In the focal plane of the lens, the phase modulation is converted into an intensity pattern, thereby creating a network of traps.
Implementation Method 2
Neutral-atom quantum processors have many promising features for quantum computation and simulation. The features include the ability to reconfigure the geometry of the qubit register from one execution to another. Such feature comes from the possibilities of setting provided by the network of optical tweezers wherein the atoms are trapped.
Data Source
AI summary
The present invention relates to a method for determining parameters for a set of atom-trapping sites with a view to forming a plurality of networks of qubits allowing a quantum processor to process a set of predetermined tasks, the parameters defining at least a number of trapping sites and a spatial layout of the trapping sites, each network of qubits being able to be formed by atoms trapped in trapping sites, referred to as effective sites, of the set of sites, the other trapping sites, referred to as reservoir sites, being empty for the network of qubits under consideration, the reservoir sites being able to trap atoms that are able to be used to supply the effective sites during the formation of the network of qubits under consideration.