Google llc (20240289658). Enhancing Simulated Annealing with Quantum Annealing simplified abstract
Contents
Enhancing Simulated Annealing with Quantum Annealing
Organization Name
Inventor(s)
Hartmut Neven of Malibu CA (US)
Enhancing Simulated Annealing with Quantum Annealing - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240289658 titled 'Enhancing Simulated Annealing with Quantum Annealing
Simplified Explanation: The patent application discusses methods and apparatus for enhancing simulated annealing with quantum fluctuations. It involves a process where simulated annealing is performed on an input state with a temperature reduction schedule, followed by quantum annealing on the evolved state until a specific event occurs.
- Obtaining an input state
- Performing simulated annealing with a temperature reduction schedule
- Terminating simulated annealing when energy decrease is below a certain level
- Outputting the evolved state and temperature value
- Reducing temperature to a minimum value
- Performing quantum annealing on the evolved state with a transversal field increase schedule
- Terminating quantum annealing when a specific event occurs
- Outputting the evolved state as a subsequent input for simulated annealing
Key Features and Innovation: - Integration of simulated annealing and quantum annealing - Temperature reduction schedule for simulated annealing - Transversal field increase schedule for quantum annealing - Use of specific events to terminate annealing processes
Potential Applications: - Optimization problems in various industries - Machine learning algorithms - Cryptography and security systems
Problems Solved: - Enhancing optimization algorithms - Improving convergence speed - Addressing complex optimization challenges
Benefits: - Faster convergence to optimal solutions - Enhanced optimization accuracy - Potential for solving complex problems efficiently
Commercial Applications: Title: Quantum-Enhanced Optimization Algorithms for Industry Applications This technology can be applied in industries such as finance, logistics, and telecommunications for optimizing processes, reducing costs, and improving overall efficiency.
Prior Art: Prior research in quantum computing and optimization algorithms may provide insights into similar approaches to combining simulated annealing and quantum fluctuations.
Frequently Updated Research: Ongoing research in quantum computing and optimization algorithms may lead to advancements in the field of quantum-enhanced optimization techniques.
Questions about Quantum-Enhanced Optimization Algorithms: 1. How does the integration of simulated annealing and quantum annealing improve optimization processes? 2. What are the potential limitations of using quantum fluctuations in optimization algorithms?
Original Abstract Submitted
methods and apparatus for enhancing simulated annealing with quantum fluctuations. in one aspect, a method includes obtaining an input state; performing simulated annealing on the input state with a temperature reduction schedule until a decrease in energy is below a first minimum value; terminating the simulated annealing in response to determining that the decrease in energy is below the first minimum level; outputting a first evolved state and first temperature value; reducing the temperature to a minimum temperature value; performing quantum annealing on the first evolved state with a transversal field increase schedule until a completion of a second event occurs; terminating the quantum annealing in response to determining that a completion of the second event has occurred; outputting a second evolved state as a subsequent input state for the simulated annealing, and determining that the completion of the first event has occurred.
