Physics-Inspired Computer Simulator Remote Access Platform
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Solution Overview
Problem
Access to physics-inspired computers, such as quantum devices, is expensive due to high fabrication and maintenance costs, limiting their availability for research groups and startups.
Innovation Solution
A computing system and method enabling remote access to a network-based platform with a physics-inspired computer simulator, allowing users to choose between using an actual physics-inspired computer or its simulator, with a training unit to improve the simulator's performance using real computational tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users access actual physics-inspired computers, then computational speed and performance are improved, but access cost increases significantly
Solution Approach 1:
The patent creates a virtual copy (simulator) of the physics-inspired computer that replicates its computational capabilities. The simulator emulates the quantum device's behavior, allowing users to access quantum-like computational speed without incurring the high costs of actual quantum hardware fabrication and maintenance.
Solution Approach 2:
The simulator provides a cost-effective alternative to expensive quantum hardware. Instead of requiring users to invest in costly physical quantum devices, the system offers access to a software-based simulation that delivers similar computational benefits at a fraction of the cost.
2Ease of manufacture
If a physics-inspired computer simulator is used, then access cost is reduced, but computational performance may be compromised
Solution Approach 1:
The system dynamically adjusts simulator parameters to optimize performance for different computational tasks. By tuning simulation accuracy, hardware abstraction levels, and resource allocation, the simulator maintains high computational performance while keeping costs low, allowing users to balance quality and cost based on their needs.
3Measurement precision
If the simulator is trained using real computational tasks, then simulation accuracy is improved, but training time and resources increase
Solution Approach 1:
The system performs preliminary training of the simulator using real quantum computational tasks and their known outcomes. This pre-training phase allows the simulator to learn accurate quantum behavior patterns before actual user computations, reducing the need for extensive real-time calibration and improving overall simulation accuracy.
Solution Approach 2:
The training process uses feedback from real quantum computer results to continuously improve simulator accuracy. By comparing simulator outputs with actual quantum device outputs and adjusting parameters accordingly, the system achieves high fidelity simulations while efficiently utilizing training resources.
Data Source
AI summary
A computing system and a method are disclosed for enabling a processing device to remotely access a computing platform over a network, wherein the computing platform comprises at least one physics-inspired computer simulator comprising tunable parameters, the computing system comprising a communications interface configured to receive a request, wherein the request comprises at least one computational task to process using at least one physics-inspired computer simulator comprising tunable parameters; a control unit operatively connected to the communications interface and to the at least one physics-inspired computer simulator comprising tunable parameters, the control unit configured to translate the request into instructions for the at least one physics-inspired computer simulator deliver the instructions to the at least one physics-inspired computer simulator to perform the at least one computational task, receive at least one corresponding solution; and a memory operatively connected to the to the control unit and the at least one physics-inspired computer simulator, the memory being configured to store one or more of the at least one computational task, a dataset contained in the request, the tunable parameters of the at least one physics-inspired computer simulator, and the at least one corresponding solution.