GOOGLE LLC (20240265284). ERROR CORRECTED VARIATIONAL ALGORITHMS simplified abstract
Contents
- 1 ERROR CORRECTED VARIATIONAL ALGORITHMS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ERROR CORRECTED VARIATIONAL ALGORITHMS - 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 State Approximation
- 1.13 Original Abstract Submitted
ERROR CORRECTED VARIATIONAL ALGORITHMS
Organization Name
Inventor(s)
Ryan Babbush of Venice CA (US)
Austin Greig Fowler of Reseda CA (US)
ERROR CORRECTED VARIATIONAL ALGORITHMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240265284 titled 'ERROR CORRECTED VARIATIONAL ALGORITHMS
Simplified Explanation
The patent application describes methods, systems, and apparatus for approximating a target quantum state using adaptive adjustments to a quantum circuit.
- Receiving data representing a target quantum state after applying a quantum circuit to an initial quantum state.
- Determining an approximate quantum circuit by adjusting the number of gates available.
- Applying the approximate quantum circuit to the initial state to obtain an approximation of the target quantum state.
Key Features and Innovation
- Adaptive adjustment of the number of gates in a quantum circuit to approximate a target quantum state.
- Efficient method for approximating quantum states using adaptive techniques.
- Utilizes data from the application of a quantum circuit to an initial state to determine the target quantum state.
Potential Applications
- Quantum computing
- Quantum cryptography
- Quantum simulation
Problems Solved
- Efficient approximation of target quantum states
- Adaptively adjusting quantum circuits for better accuracy
- Enhancing quantum computing capabilities
Benefits
- Improved accuracy in approximating quantum states
- Faster computation of target quantum states
- Enhanced performance of quantum systems
Commercial Applications
Quantum computing companies can utilize this technology to improve the accuracy and efficiency of their quantum systems, leading to advancements in various fields such as cryptography, simulation, and data processing.
Prior Art
Readers interested in prior art related to this technology can explore research papers, patents, and publications in the field of quantum computing and quantum information processing.
Frequently Updated Research
Stay updated on the latest advancements in quantum computing and quantum information processing to understand how this technology is evolving and being applied in various industries.
Questions about Quantum State Approximation
How does adaptive adjustment of quantum circuits improve the accuracy of approximating target quantum states?
Adaptive adjustment allows for fine-tuning the quantum circuit to better match the target quantum state, resulting in a more precise approximation.
What are the potential implications of this technology on the field of quantum computing?
This technology could revolutionize quantum computing by enhancing the efficiency and accuracy of quantum systems, leading to breakthroughs in various applications.
Original Abstract Submitted
methods, systems and apparatus for approximating a target quantum state. in one aspect, a method for determining a target quantum state includes the actions of receiving data representing a target quantum state of a quantum system as a result of applying a quantum circuit to an initial quantum state of the quantum system; determining an approximate quantum circuit that approximates the specific quantum circuit by adaptively adjusting a number of t gates available to the specific quantum circuit; and applying the determined approximate quantum circuit to the initial quantum state to obtain an approximation of the target quantum state.
