Tencent Technology (Shenzhen) Company Limited (20240281694). QUANTUM CIRCUIT OPTIMIZATION METHOD AND APPARATUS, ELECTRONIC DEVICE, COMPUTER-READABLE STORAGE MEDIUM, AND COMPUTER PROGRAM PRODUCT simplified abstract
Contents
- 1 QUANTUM CIRCUIT OPTIMIZATION METHOD AND APPARATUS, ELECTRONIC DEVICE, COMPUTER-READABLE STORAGE MEDIUM, AND COMPUTER PROGRAM PRODUCT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 QUANTUM CIRCUIT OPTIMIZATION METHOD AND APPARATUS, ELECTRONIC DEVICE, COMPUTER-READABLE STORAGE MEDIUM, AND COMPUTER PROGRAM PRODUCT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Quantum Circuit Optimization
- 1.13 Original Abstract Submitted
QUANTUM CIRCUIT OPTIMIZATION METHOD AND APPARATUS, ELECTRONIC DEVICE, COMPUTER-READABLE STORAGE MEDIUM, AND COMPUTER PROGRAM PRODUCT
Organization Name
Tencent Technology (Shenzhen) Company Limited
Inventor(s)
Shengyu Zhang of Shenzhen (CN)
QUANTUM CIRCUIT OPTIMIZATION METHOD AND APPARATUS, ELECTRONIC DEVICE, COMPUTER-READABLE STORAGE MEDIUM, AND COMPUTER PROGRAM PRODUCT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240281694 titled 'QUANTUM CIRCUIT OPTIMIZATION METHOD AND APPARATUS, ELECTRONIC DEVICE, COMPUTER-READABLE STORAGE MEDIUM, AND COMPUTER PROGRAM PRODUCT
Simplified Explanation
This patent application describes a method for optimizing quantum circuits using an electronic device. The method involves transforming a quantum circuit into a unitary matrix, decomposing it iteratively, and integrating the resulting circuits to obtain an optimized quantum circuit.
- The method transforms a quantum circuit into a unitary matrix.
- The unitary matrix is decomposed iteratively to obtain qubit uniformly controlled gates.
- Each gate is further decomposed into diagonal unitary matrices and single-qubit gates.
- A matching quantum circuit is determined for each diagonal unitary matrix under constraints of a connected graph.
- The matching circuits and single-qubit gates are integrated to obtain a target quantum circuit for each gate.
- The target circuits are connected to obtain an optimized quantum circuit.
Key Features and Innovation
- Transformation of quantum circuits into unitary matrices.
- Iterative decomposition of unitary matrices to obtain qubit uniformly controlled gates.
- Matching quantum circuits for diagonal unitary matrices under constraints of a connected graph.
- Integration of matching circuits and single-qubit gates to obtain target quantum circuits.
- Connection of target circuits to achieve an optimized quantum circuit.
Potential Applications
This technology can be applied in quantum computing, specifically in optimizing quantum circuits for more efficient quantum operations.
Problems Solved
This method addresses the challenge of optimizing quantum circuits to improve the performance of quantum computing systems.
Benefits
- Improved efficiency in quantum circuit operations.
- Enhanced performance of quantum computing systems.
- Potential for faster quantum computations.
Commercial Applications
Quantum Computing Optimization Technology
This technology can be utilized by companies and research institutions working on quantum computing to enhance the efficiency and performance of their systems.
Prior Art
Further research can be conducted in the field of quantum circuit optimization to explore existing methods and technologies related to this innovation.
Frequently Updated Research
Researchers are continually exploring new methods and techniques for optimizing quantum circuits in the field of quantum computing.
Questions about Quantum Circuit Optimization
What are the potential limitations of this method in optimizing complex quantum circuits?
The method may face challenges in optimizing highly complex quantum circuits due to the iterative decomposition process.
How does this technology compare to existing quantum circuit optimization techniques?
This technology offers a unique approach to optimizing quantum circuits by integrating matching quantum circuits and single-qubit gates for improved efficiency.
Original Abstract Submitted
this application provides a quantum circuit optimization method performed by an electronic device, and relates to quantum computing technologies. the method includes: transforming a to-be-optimized quantum circuit into a to-be-processed unitary matrix, and decomposing the to-be-processed unitary matrix iteratively, to obtain a first quantity of qubit uniformly controlled gates; decomposing each qubit uniformly controlled gate into a second quantity of qubit diagonal unitary matrices and a third quantity of single-qubit gates; determining, under constraints of a connected graph, a matching quantum circuit corresponding to each qubit diagonal unitary matrix; integrating the second quantity of matching quantum circuits and the third quantity of single-qubit gates, to obtain a target quantum circuit of each qubit uniformly controlled gate; and connecting the first quantity of target quantum circuits, to obtain an optimized quantum circuit.
