Google llc (20240346360). USING QUANTUM COMPUTERS TO ACCELERATE CLASSICAL MEAN-FIELD DYNAMICS simplified abstract
Contents
USING QUANTUM COMPUTERS TO ACCELERATE CLASSICAL MEAN-FIELD DYNAMICS
Organization Name
Inventor(s)
Ryan Babbush of Venice CA (US)
Joonho Lee of New York NY (US)
William Huggins of Oakland CA (US)
USING QUANTUM COMPUTERS TO ACCELERATE CLASSICAL MEAN-FIELD DYNAMICS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240346360 titled 'USING QUANTUM COMPUTERS TO ACCELERATE CLASSICAL MEAN-FIELD DYNAMICS
Simplified Explanation: The patent application describes methods, systems, and apparatus for simulating a quantum system using a quantum computer to perform a first quantized quantum algorithm on an initial quantum state to simulate time evolution of a fermionic system.
Key Features and Innovation:
- Simulation of time evolution of a fermionic system using a quantum computer.
- Generation of time-evolved quantum states through a first quantized quantum algorithm.
- Measurement of time-evolved quantum states to obtain reduced density matrices in first quantization.
- Application of a classical shadows method involving random Clifford channels to simulate the quantum system.
Potential Applications: This technology could be applied in quantum chemistry simulations, material science research, and optimization problems that require quantum computing capabilities.
Problems Solved: This technology addresses the challenge of simulating complex quantum systems efficiently and accurately, which is crucial for various scientific and computational applications.
Benefits:
- Improved accuracy and efficiency in simulating quantum systems.
- Enhanced capabilities for solving complex computational problems.
- Potential advancements in quantum chemistry and material science research.
Commercial Applications: Potential commercial applications of this technology include quantum computing services for research institutions, pharmaceutical companies, and technology firms looking to leverage quantum capabilities for advanced simulations and optimizations.
Prior Art: Readers interested in exploring prior art related to this technology can start by researching quantum computing algorithms, fermionic simulations, and quantum system modeling techniques.
Frequently Updated Research: Researchers in the field of quantum computing are constantly developing new algorithms and techniques for simulating quantum systems, which could further enhance the capabilities of this technology.
Questions about Quantum System Simulation: 1. How does this technology improve the efficiency of simulating quantum systems compared to traditional methods? 2. What are the potential limitations or challenges in implementing this quantum system simulation technology?
Original Abstract Submitted
methods, systems, and apparatus for simulating a quantum system. in one aspect, a method includes performing a first quantized quantum algorithm on an initial quantum state to simulate time evolution of a fermionic system and generate a time evolved quantum state; and measuring, by the quantum computer, the time evolved quantum state to obtain one or more reduced density matrices in first quantization, the measuring including performing a classical shadows method that applies separate random clifford channels to each qubit register of multiple qubit registers that represent respective occupied orbitals in the fermionic system.
