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Quantum Error Correction: Stablizer

Quantum Error Correction: Stablizer

After a simple example of Shor Code, this article will introduce stabilizer as a tool to build and analyze quantum error correction circuits. Why do we need stabilizers?One key point of quantum error
2025-08-31
#Quantum Computing
Quantum Error Correction: Shor Code

Quantum Error Correction: Shor Code

Quantum error correction algorithms are a core technology in the field of quantum computing, designed to address the issue of quantum bits (qubits) being highly susceptible to environmental interferen
2025-08-31
#Quantum Computing
量子纠错: Shor Code

量子纠错: Shor Code

量子纠错算法是量子计算领域的核心技术之一,旨在应对量子比特(qubits)易受环境干扰导致信息丢失或出错的问题。由于量子系统的特性, 如叠加态和量子纠缠, 使得量子信息极其脆弱, 任何微小的噪声或相位偏移都可能破坏计算的准确性。量子纠错通过设计特殊的编码方案, 将一个量子比特的信息分布到多个物理量子比特上, 从而检测和纠正错误, 而不会破坏量子态。例如, 经典的量子纠错码包括肖尔码 (Shor C
2025-08-31
#Quantum Computing
FTQC Resource Estimator

FTQC Resource Estimator

Why We Need an FTQC Resource EstimatorOn NISQ (Noisy Intermediate-scale Quantum) devices, measuring the resource cost of an algorithm is very intuitive. By counting the number of gates the algorithm
2025-08-31
#Quantum Computing
FTQC量子资源计数器

FTQC量子资源计数器

为什么需要FTQC资源计数器在NISQ(Noisy Intermediate-scale Quantum)设备上,衡量一个算法消耗的资源是非常直观的。通过算法使用的门的数量,物理比特的数量,电路的深度,物理硬件的各种错误率与保真度就可以大致的评估一个算法。但在FTQC(Fault Tolerant Quantum Computing)上事情却复杂一些。最关键的不同在于FTQC使用纠错码的方式通过设
2025-08-31
#Quantum Computing
Network Flow

Network Flow

1: Problem DescriptionAs stated, given a network graph with a source node and a sink node, calculate the maximum flow in the network. 1.1: Input FormatThe first line contains four positive integers: $
2025-01-02
#Algorithm
Basic Reverse Engineering by using GDB

Basic Reverse Engineering by using GDB

ProblemThe challenge is to determine the correct set of five inputs expected by each of the four safes (s1, s2, s3, s4). Running the binary file prompts you to input guesses sequentially, as demonst
2024-11-29
#Reverse Engineering
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Hexo Fluid
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