17945158. PREDICTING AND MINIMIZING QUANTUM DECOHERENCE IN QUANTUM COMPUTER SYSTEMS simplified abstract (RED HAT, INC.)

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PREDICTING AND MINIMIZING QUANTUM DECOHERENCE IN QUANTUM COMPUTER SYSTEMS

Organization Name

RED HAT, INC.

Inventor(s)

Leigh Griffin of Waterford (IE)

Stephen Coady of Waterford (IE)

PREDICTING AND MINIMIZING QUANTUM DECOHERENCE IN QUANTUM COMPUTER SYSTEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17945158 titled 'PREDICTING AND MINIMIZING QUANTUM DECOHERENCE IN QUANTUM COMPUTER SYSTEMS

Simplified Explanation

The abstract describes a system that can analyze quantum algorithms and predict the amount of quantum decoherence associated with executing logic gates on a quantum computer system.

  • The system receives a QASM file defining a quantum algorithm with logic gates.
  • It accesses a data repository with estimated quantum decoherence for each logic gate.
  • It predicts the quantum decoherence for executing logic gates on the quantum computer.
  • It adjusts the QASM file to modify the prediction for executing the logic gates.

Potential Applications

This technology could be applied in quantum computing research, development of quantum algorithms, and optimization of quantum computer performance.

Problems Solved

This technology addresses the challenge of predicting and managing quantum decoherence in quantum computing systems, which is crucial for achieving accurate and reliable results in quantum algorithms.

Benefits

The system provides insights into the impact of quantum decoherence on logic gates, allowing for adjustments to improve the performance and accuracy of quantum algorithms on quantum computers.

Potential Commercial Applications

  • Quantum computing software development
  • Quantum algorithm optimization services

Possible Prior Art

One possible prior art in this field is the research on quantum error correction codes and techniques to mitigate the effects of decoherence in quantum computing systems.

=== What are the limitations of the system in predicting quantum decoherence accurately? The abstract does not mention the specific methodologies or algorithms used by the system to predict quantum decoherence accurately.

=== How does the system handle different types of logic gates with varying levels of quantum decoherence? The abstract does not provide details on how the system adjusts the QASM file to account for the varying levels of quantum decoherence associated with different logic gates.


Original Abstract Submitted

In one example described herein a system can receive, by a gate analysis service, a quantum assembly language (QASM) file. The QASM file can define a quantum algorithm that can include logic gates that can be executed on a quantum computer system. The system can access, by the gate analysis service, a data repository that can include an estimated amount of quantum decoherence associated with each logic gate of a plurality of logic gates that includes the logic gates. The system can determine, by the gate analysis service, a prediction of an amount of quantum decoherence associated with executing at least one logic gate of the logic gates on the quantum computer system. Additionally, the system can adjust, by the gate analysis service, the QASM file to modify the prediction associated with executing the logic gates on the quantum computer system.