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 adjustment of gates in 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 gates in a quantum circuit to approximate a target quantum state.
- Efficient method for determining an approximate quantum circuit.
- Application of the approximate circuit to obtain an approximation of the target state.
Potential Applications
- Quantum computing
- Quantum cryptography
- Quantum simulations
Problems Solved
- Efficient approximation of target quantum states
- Optimization of quantum circuits
Benefits
- Improved accuracy in approximating quantum states
- Time and resource efficiency in quantum computing tasks
Commercial Applications
Quantum Computing Optimization: This technology can be utilized in quantum computing applications to optimize quantum circuits and improve the efficiency of quantum algorithms, leading to advancements in various industries such as finance, healthcare, and cybersecurity.
Prior Art
There may be prior art related to quantum circuit optimization, quantum state approximation, and adaptive gate adjustment in quantum systems. Researchers can explore academic journals, patent databases, and conferences in the field of quantum computing for relevant prior art.
Frequently Updated Research
Researchers are constantly exploring new methods and algorithms for optimizing quantum circuits and approximating target quantum states. Stay updated on the latest advancements in quantum computing research to leverage cutting-edge technologies in this field.
Questions about Quantum State Approximation
How does adaptive adjustment of gates in a quantum circuit improve the approximation of target quantum states?
Adaptive adjustment allows for the optimization of the quantum circuit to better match the target quantum state, leading to a more accurate approximation.
What are the potential implications of efficient quantum state approximation in quantum computing applications?
Efficient quantum state approximation can significantly enhance the performance of quantum algorithms, leading to faster computations and improved results in various quantum computing tasks.
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.
