18345485. MANUAL QUBIT MAPPING DURING TRANSPILATION simplified abstract (Dell Products L.P.)
Contents
- 1 MANUAL QUBIT MAPPING DURING TRANSPILATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MANUAL QUBIT MAPPING DURING TRANSPILATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 How does this method compare to existing quantum circuit optimization techniques?
- 1.11 What are the potential limitations of this method in real-world quantum computing applications?
- 1.12 Original Abstract Submitted
MANUAL QUBIT MAPPING DURING TRANSPILATION
Organization Name
Inventor(s)
Brendan Burns Healy of Haddonfield NJ (US)
Rômulo Teixeira De Abreu Pinho of Niterói (BR)
Victor Fong of Medford MA (US)
MANUAL QUBIT MAPPING DURING TRANSPILATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18345485 titled 'MANUAL QUBIT MAPPING DURING TRANSPILATION
Simplified Explanation
The patent application describes a method for mapping virtual qubits of a quantum circuit to physical qubits based on error information, sampling the physical qubits, and performing the quantum circuit on the sampled physical qubits.
- Obtaining error information for physical qubits
- Sampling physical qubits based on error information
- Mapping virtual qubits to sampled physical qubits
- Performing quantum circuit on sampled physical qubits
Potential Applications
This technology could be applied in quantum computing, specifically in optimizing the execution of quantum circuits by mapping virtual qubits to physical qubits based on error information.
Problems Solved
1. Efficient mapping of virtual qubits to physical qubits 2. Improving the execution of quantum circuits by considering error information of physical qubits
Benefits
1. Enhanced performance of quantum circuits 2. Reduction of errors in quantum computations
Potential Commercial Applications
Optimizing quantum algorithms, quantum simulations, quantum cryptography, and other quantum computing applications could benefit from this technology.
Possible Prior Art
There may be prior art related to optimizing quantum circuit execution by considering error information of physical qubits, but specific examples are not provided in this context.
Unanswered Questions
How does this method compare to existing quantum circuit optimization techniques?
This article does not provide a comparison with existing quantum circuit optimization techniques. It would be interesting to know how this method stands out in terms of efficiency and accuracy compared to other approaches.
What are the potential limitations of this method in real-world quantum computing applications?
The article does not address potential limitations that may arise when implementing this method in practical quantum computing scenarios. Understanding the challenges and constraints of this technology is crucial for its successful adoption.
Original Abstract Submitted
One example method includes obtaining error information for physical qubits that are candidates for mapping by respective virtual qubits of a quantum circuit, sampling the physical qubits based on their respective error information, mapping the virtual qubits to the physical qubits obtained by the sampling, and performing a shot of the quantum circuit on the sampled physical qubits. These operations may be performed ‘n’ times until an acceptable result is obtained for execution of the quantum circuit.
