Telefonaktiebolaget lm ericsson (publ) (20240338590). MID-CIRCUIT ERROR MITIGATION FOR QUANTUM OPTIMIZATION simplified abstract

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MID-CIRCUIT ERROR MITIGATION FOR QUANTUM OPTIMIZATION

Organization Name

telefonaktiebolaget lm ericsson (publ)

Inventor(s)

[[:Category:Zoltán Zimbor�s of Budapest (HU)|Zoltán Zimbor�s of Budapest (HU)]][[Category:Zoltán Zimbor�s of Budapest (HU)]]

Zsófia Kallus of Budapest (HU)

[[:Category:Gábor N�meth of Budapest (HU)|Gábor N�meth of Budapest (HU)]][[Category:Gábor N�meth of Budapest (HU)]]

[[:Category:Péter H�ga of Budapest (HU)|Péter H�ga of Budapest (HU)]][[Category:Péter H�ga of Budapest (HU)]]

MID-CIRCUIT ERROR MITIGATION FOR QUANTUM OPTIMIZATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240338590 titled 'MID-CIRCUIT ERROR MITIGATION FOR QUANTUM OPTIMIZATION

The patent application describes methods, systems, and apparatuses for enhancing a Quantum Approximate Optimization Algorithm (QAOA) quantum circuit by adding encoders, mid-circuit measurements, and conditional resets.

  • Encoders are used to map one-hot encoding basis states to basis states of a reduced number of qubits padded with additional qubits in the zero computational basis state.
  • Mid-circuit measurements involve measuring qubits of the augmented quantum circuit in the computational basis state.
  • Conditional resets reset the quantum circuit based on mid-circuit measurement results indicating invalid qubit states.
  • These enhancements aim to improve the efficiency and accuracy of quantum computations.

Potential Applications:

  • Quantum computing
  • Optimization problems
  • Machine learning algorithms

Problems Solved:

  • Enhancing the performance of Quantum Approximate Optimization Algorithms
  • Improving the accuracy of quantum computations

Benefits:

  • Faster quantum computations
  • Increased accuracy in optimization tasks
  • Enhanced performance of machine learning algorithms

Commercial Applications:

  • Quantum computing services
  • Optimization software development
  • Machine learning model training platforms

Questions about Quantum Approximate Optimization Algorithm (QAOA): 1. How does adding encoders to the quantum circuit improve its performance? 

  - Encoders help map one-hot encoding basis states to a reduced number of qubits, optimizing the quantum circuit for better efficiency.

2. What are the potential implications of mid-circuit measurements in quantum computations? 

  - Mid-circuit measurements allow for real-time feedback on qubit states, enhancing the accuracy of quantum algorithms.


Original Abstract Submitted

methods, systems, and apparatuses for augmenting a quantum approximate optimization algorithm (qaoa) quantum circuit. augmenting the quantum circuit may include adding to the quantum circuit one or more encoders () configured to perform unitary mapping of one-hot encoding basis states to basis states of a reduced number of qubits padded with one or more padding qubits in the zero computational basis state, mid-circuit measurements, and conditional resets. the mid-circuit measurements may be configured to cause one or more quantum processing units (qpus) to measure one or more qubits of the augmented quantum circuit in the computational basis state. the one or more conditional resets may be configured to reset the augmented quantum circuit without full execution of a variational loop if one or more mid-circuit measurement results indicate that one or more qubits of the augmented quantum circuit are in an invalid state.

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