Kabushiki kaisha toshiba (20240095572). QUANTUM CIRCUIT LEARNING SYSTEM, QUANTUM CIRCUIT LEARNING METHOD, QUANTUM INFERENCE SYSTEM, QUANTUM CIRCUIT, AND QUANTUM-CLASSICAL HYBRID NEURAL NETWORK simplified abstract
Contents
- 1 QUANTUM CIRCUIT LEARNING SYSTEM, QUANTUM CIRCUIT LEARNING METHOD, QUANTUM INFERENCE SYSTEM, QUANTUM CIRCUIT, AND QUANTUM-CLASSICAL HYBRID NEURAL NETWORK
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 QUANTUM CIRCUIT LEARNING SYSTEM, QUANTUM CIRCUIT LEARNING METHOD, QUANTUM INFERENCE SYSTEM, QUANTUM CIRCUIT, AND QUANTUM-CLASSICAL HYBRID NEURAL NETWORK - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
QUANTUM CIRCUIT LEARNING SYSTEM, QUANTUM CIRCUIT LEARNING METHOD, QUANTUM INFERENCE SYSTEM, QUANTUM CIRCUIT, AND QUANTUM-CLASSICAL HYBRID NEURAL NETWORK
Organization Name
Inventor(s)
Yasutaka Nishida of Tama Tokyo (JP)
Fumihiko Aiga of Kawasaki Kanagawa (JP)
QUANTUM CIRCUIT LEARNING SYSTEM, QUANTUM CIRCUIT LEARNING METHOD, QUANTUM INFERENCE SYSTEM, QUANTUM CIRCUIT, AND QUANTUM-CLASSICAL HYBRID NEURAL NETWORK - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095572 titled 'QUANTUM CIRCUIT LEARNING SYSTEM, QUANTUM CIRCUIT LEARNING METHOD, QUANTUM INFERENCE SYSTEM, QUANTUM CIRCUIT, AND QUANTUM-CLASSICAL HYBRID NEURAL NETWORK
Simplified Explanation
The patent application describes a quantum circuit consisting of two blocks: the 1st block includes a gate operation layer and a measurement layer, while the 2nd block includes a gate operation layer as well. The gate operation layer in the 1st block includes an encoding gate parameterized with an encoding parameter to construct the 1st hf state, and a transformation gate parameterized with a learning parameter to convert the 1st hf state into the 1st quantum state. The measurement layer outputs the measurement value of the 1st quantum state. The gate operation layer in the 2nd block includes a 2nd encoding gate parameterized with an encoding parameter to construct the 2nd hf state, and a transformation gate parameterized with a learning parameter to transform the 2nd hf state into the 2nd quantum state.
- The patent application describes a quantum circuit with two blocks, each containing gate operation layers for encoding and transforming quantum states.
- The 1st block constructs the 1st quantum state from the 1st hf state using encoding and transformation gates, while the 2nd block does the same for the 2nd quantum state.
Potential Applications
This technology could be applied in quantum computing, quantum cryptography, and quantum communication systems.
Problems Solved
This technology solves the problem of efficiently encoding and transforming quantum states in quantum circuits.
Benefits
The benefits of this technology include improved quantum state manipulation, enhanced quantum information processing, and increased efficiency in quantum algorithms.
Potential Commercial Applications
- Quantum computing systems
- Quantum cryptography technologies
- Quantum communication devices
Possible Prior Art
There may be prior art related to quantum circuit design, quantum state encoding, and quantum state transformation techniques.
Unanswered Questions
How does this technology compare to existing quantum circuit designs?
The article does not provide a direct comparison with existing quantum circuit designs, leaving room for further analysis on the uniqueness and advantages of this approach.
What are the specific parameters used in the encoding and transformation gates?
The article does not delve into the specific parameters used in the encoding and transformation gates, which could be crucial for understanding the implementation and performance of the quantum circuit.
Original Abstract Submitted
quantum circuit includes 1st block and 2nd block. 1st block includes gate operation layer and measurement layer. gate operation layer includes encoding gate parameterized with encoding parameter including encoded input information for constructing 1st hf state, and transformation gate parameterized with learning parameter for transforming 1st hf state into 1st quantum state. measurement layer outputs measurement value of 1st quantum state. 2nd block includes gate operation layer. gate operation layer includes 2nd encoding gate parameterized with encoding parameter including encoded measurement value for constructing 2nd hf state, and transformation gate parameterized with learning parameter for transforming 2nd hf state into 2nd quantum state.
