Google LLC (20240378475). QUBIT SURFACE ALLOCATION SYSTEM simplified abstract
Contents
QUBIT SURFACE ALLOCATION SYSTEM
Organization Name
Inventor(s)
Kevin Douglas Kissell of Menlo Park CA (US)
QUBIT SURFACE ALLOCATION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240378475 titled 'QUBIT SURFACE ALLOCATION SYSTEM
The abstract of this patent application describes methods, systems, and apparatus for qubit surface allocation in quantum computing.
- Simplified Explanation: The patent application outlines a method for allocating qubit surfaces in quantum computing by mapping required qubit surfaces to physical qubits in a quantum processor.
- Key Features and Innovation:
- Receiving a request for quantum computation - Compiling the request into a program - Mapping the required qubit surface to physical qubits - Transforming the program for computation using the mapped qubit surface
- Potential Applications:
- Quantum computing - Information processing - Cryptography
- Problems Solved:
- Efficient allocation of qubit surfaces - Optimizing quantum computation processes
- Benefits:
- Improved performance in quantum computing - Enhanced resource utilization - Streamlined quantum computation processes
- Commercial Applications:
- Quantum computing technology companies - Research institutions - Government agencies
- Prior Art:
- Prior research on qubit allocation in quantum computing - Studies on optimizing quantum computation processes
- Frequently Updated Research:
- Latest advancements in quantum computing technology - Research on quantum processor optimization
Questions about qubit surface allocation: 1. How does this method improve the efficiency of quantum computation? 2. What are the potential challenges in implementing this qubit surface allocation method?
1. A relevant generic question not answered by the article, with a detailed answer: How does qubit surface allocation impact the scalability of quantum computing systems? Qubit surface allocation plays a crucial role in optimizing the performance and resource utilization of quantum computing systems, ultimately contributing to their scalability. By efficiently mapping required qubit surfaces to physical qubits, this method ensures that quantum computations can be performed effectively, leading to advancements in quantum computing technology.
2. Another relevant generic question, with a detailed answer: What are the key considerations in mapping qubit surfaces to physical qubits in a quantum processor? When mapping qubit surfaces to physical qubits, factors such as the operational state of the quantum processor and the type of quantum processor being used must be taken into account. Additionally, ensuring that the transformed program accurately reflects the original quantum computation operations is essential for successful implementation.
Original Abstract Submitted
methods, systems, and apparatus for qubit surface allocation. in one aspect, a method includes receiving a request to perform a quantum computation; compiling the request to obtain a program for the quantum computation, wherein the program specifies a first qubit surface required to perform the quantum computation; mapping, based on a quantum processor type and an operational state of an available quantum processor, the first qubit surface to a plurality of physical qubits included in the available quantum processor to obtain a mapped qubit surface; transforming the program to generate a transformed program, comprising replacing quantum computing operations on the first qubit surface with quantum computing operations on the mapped qubit surface; and providing the transformed program to the available quantum processor to perform the quantum computation using the plurality of physical qubits in the mapped qubit surface.
