Quantum Control Interface for Cloud-Optimized Qubit Operations
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Quantum computers face challenges in stabilizing quantum information due to rapid deterioration, and determining complex control algorithms specific to each quantum computer is difficult, hindering effective use.
Innovation Solution
A quantum computing system with a distributed data processing system and user interface that calculates noise-suppressing control sequences based on the quantum processor's characteristics, allowing real-time compensation for variations and reducing decoherence and errors by optimizing control sequences using cloud-based resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex control algorithms are developed to stabilize quantum information, then quantum information stability is improved, but the difficulty of determining and executing control algorithms increases
Solution Approach 1:
The patent introduces a cloud-based distributed data processing system as an intermediary between the quantum computer hardware and the control algorithm development. This intermediary handles the complex calculations for determining control sequences, freeing researchers from directly implementing complex algorithms while maintaining quantum information stability. The cloud system acts as a mediator that translates quantum processor characteristics into optimized control sequences.
Solution Approach 2:
The patent replaces local mechanical computing systems with cloud-based distributed data processing. Instead of requiring local high-performance computing infrastructure, the system substitutes remote cloud resources that can be accessed via network connections. This substitution enables complex control algorithm execution without requiring physical infrastructure at the quantum computer site.
2Reliability
If noise characteristics are incorporated to determine noise-suppressing control sequences, then error reduction is improved, but computational complexity increases
Solution Approach 1:
The cloud-based distributed data processing system serves as an intermediary that handles the computationally intensive task of incorporating noise characteristics into control sequence determination. The system receives noise characteristic data from quantum processors, processes this information through complex algorithms, and returns optimized noise-suppressing control sequences. This intermediary approach enables error reduction without requiring local computational resources to handle the complexity.
Solution Approach 2:
The system performs preliminary characterization of noise characteristics from quantum processor data before generating control sequences. By pre-processing noise data and identifying patterns, the system prepares information that simplifies subsequent control sequence optimization. This preliminary action reduces the computational burden during the actual control sequence generation phase.
3Reliability
If control sequences are optimized in real-time to compensate for noise variations, then quantum information stability is improved, but processing time requirements increase
Solution Approach 1:
The system implements periodic re-characterization of quantum processor noise characteristics and generates updated control sequences at regular intervals. This periodic approach allows the system to adapt to changing noise conditions while maintaining a predictable processing schedule. By updating control sequences periodically rather than continuously, the system balances quantum information stability with reasonable processing time requirements.
Solution Approach 2:
The system performs preliminary noise characterization and control sequence optimization in advance, before quantum computations are executed. By preparing noise-suppressing control sequences beforehand based on characterized noise properties, the system reduces the need for time-consuming real-time adjustments during actual quantum operations. This preliminary preparation maintains quantum information stability while minimizing processing time losses.
Data Source
AI summary
This disclosure relates to quantum computing systems including a quantum processor that implements one or more operations on multiple qubits and a distributed data processing system programmed to perform calculations to determine control sequences that, when applied to the quantum processor, reduces decoherence, decoherence-induced errors, and control-imperfection-induced errors on the one or more operations on the multiple qubits. A user interface device remote from the distributed data processing system receives from a user of the quantum processor characteristics of the quantum processor including operational constraints and/or desired performance, and sends the characteristics to the data processing system to cause the data processing system to perform the calculations to determine the control sequence based on the characteristics.