基于动态拓扑的量子计算的自适应量子电路设计

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum computing offers unprecedented computational power, but scaling up quantum systems presents significant challenges. Conventional quantum circuit design relies on meticulous manual engineering, limiting flexibility and potentially hindering optimization. This paper proposes a novel approach to quantum circuit design leveraging dynamic topology, aiming to enhance both efficiency and accuracy. We introduce a self-adaptive algorithm that dynamically adjusts the topology of quantum circuits, allowing for continuous optimization and adaptation to specific task requirements. This method overcomes limitations of traditional approaches by offering a mechanism for automated exploration of circuit topologies. The proposed approach demonstrates improved performance in a series of benchmark tests, highlighting its potential for accelerating quantum computation.

DOI: 10.5281/zenodo.22265527

Related papers

基于拓扑的量子计算的自适应量子电路设计

Jincheng Zhang

Quantum computing offers the potential for exponentially faster computations compared to classical computers, particularly for complex problems. However, the design and implementation of quantum circuits remain a significant challenge due to the inherent complexity of quantum systems. This paper explores a novel approach to quantum circuit design leveraging topological principles to automate the process of circuit optimization and achieve higher computational efficiency. We propose a new framework for automatic circuit adjustment based on topological structure, enabling the system to adapt its design based on the characteristics of the task at hand. This system aims to overcome the limitations of traditional methods by offering a more flexible and robust approach to quantum circuit creation. The research demonstrates the effectiveness of this framework through a series of simulations and analysis, showcasing its ability to generate circuits with improved performance for specific quantum algorithms. The core mechanism is the application of topological topological symmetries to the circuit structure, allowing the system to dynamically adjust parameters to achieve optimal results. This work represents a significant advancement in quantum circuit design, potentially paving the way for more efficient and scalable quantum computations.

Sep 4, 20260 citations

基于自组织的量子电路的拓扑优化

Jincheng Zhang

This paper introduces a novel optimization algorithm based on self-organized quantum circuits, aiming to enhance the performance and efficiency of quantum circuits while minimizing their complexity. Traditional quantum circuit design often relies on manual manipulation, limiting flexibility and potential for optimization. We propose a new approach that leverages the inherent topological properties of quantum circuits to dynamically adjust their structure, leading to significant improvements. The core mechanism involves constructing a self-organized circuit that evolves through a series of transformations, guided by a topological mapping. We demonstrate the effectiveness of this algorithm through simulations and analysis of various quantum circuit designs, highlighting its ability to achieve superior performance compared to traditional optimization methods. The research explores the potential of this technique to address challenges in quantum circuit design and expansion, paving the way for more efficient and versatile quantum technologies.

Aug 29, 20260 citations

Quantum Topology Adaptive Quantum Circuit Design

Jincheng Zhang

Quantum topology, a fascinating field of physics, offers a novel approach to manipulating quantum states, holding the potential to revolutionize quantum computing and quantum communication. This paper investigates a new algorithmic design for quantum circuit construction, leveraging the dynamic adjustment of quantum topology to achieve significant improvements in circuit efficiency. We propose a novel algorithm that iteratively adjusts the topology of a quantum system, optimizing for specific computational tasks. This approach contrasts with traditional methods reliant on manual design and offers a promising pathway to enhance circuit performance through intelligent topology manipulation. The proposed algorithm demonstrates improved results in certain scenarios, highlighting the potential of quantum topology to overcome limitations of conventional circuit design.

Sep 4, 20260 citations

Dynamic Quantum Circuit Topology Optimization

Jincheng Zhang

Dynamic Quantum Circuit Topology Optimization addresses the challenges of optimizing quantum circuits for enhanced performance and stability through adaptive circuit design. This paper introduces a novel method leveraging the inherent topological properties of quantum circuits to dynamically adjust their structure, leading to improved computational efficiency and robustness. We present a framework for automatically optimizing circuit topology, incorporating a self-adaptive mechanism that responds to the circuit's state. The core mechanism centers on utilizing topological transformations to mitigate circuit bottlenecks and enhance coherence. The study demonstrates the effectiveness of this approach in optimizing specific quantum algorithms, showcasing its potential for accelerating complex computations. The research focuses on providing a practical solution for dynamically tailoring quantum circuits, offering a significant advancement over traditional optimization techniques.

Sep 7, 20260 citations

基于自适应拓扑的量子计算算法优化

Jincheng Zhang

Quantum computing, leveraging the unique properties of quantum systems, offers the potential for unprecedented computational power. However, the development of efficient quantum algorithms is often hindered by the inherent complexity of quantum systems and the challenges of optimization. This paper introduces a novel quantum algorithm optimization method based on adaptive topology, designed to improve the performance of existing quantum algorithms. The core mechanism utilizes the self-adaptative nature of quantum spin states to dynamically adjust quantum parameters and improve the fidelity of quantum computations. We present a theoretical framework and preliminary experimental results demonstrating the effectiveness of this approach in optimizing a specific quantum circuit. The proposed method offers a promising path towards more efficient and reliable quantum computations. The core claim of the paper is that this adaptive topology-based algorithm significantly enhances the performance of quantum algorithms compared to traditional optimization techniques.

Aug 31, 20260 citations

基于自适应拓扑的量子计算的参数优化

Jincheng Zhang

This paper presents a novel approach to quantum computing parameter optimization based on adaptive topology. Traditional parameter optimization methods often rely on static parameter adjustments, while adaptive topology offers the potential for dynamic adjustment based on quantum computation results. This work introduces a method that utilizes the inherent properties of adaptive topology to dynamically modify quantum bit parameters, thereby enhancing the efficiency of quantum computations. The proposed method demonstrates improved performance in a series of benchmark quantum algorithms, highlighting its effectiveness in optimizing quantum circuits for specific computational tasks. The core mechanism focuses on leveraging the topology of the quantum system to achieve this dynamic adjustment. This research provides a promising avenue for enhancing the scalability and performance of quantum computing systems.

Sep 3, 20260 citations