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e-Article

QuantoTrace: Quantum Error Correction as a Service for Robust Quantum Computing
Document Type
Conference
Source
2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT) Electrical Engineering and Information & Communication Technology (ICEEICT), 2024 6th International Conference on. :616-621 May, 2024
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Computers
Quantum system
Quantum computing
Software as a service
Noise
Hardware
Error correction
Cloud-Based Quantum Computing
Fault-Tolerant Quantum Computing
Quantum Error Correction (QEC)
Quantum Noise and Decoherence
Quantum Repetition Code
Quantum Simulation
Quantum Software as a Service (QSaaS)
Quantum Technology Accessibility
Language
ISSN
2769-5700
Abstract
Quantum computing, despite its vast potential, is impeded by challenges like decoding and system noise, necessitating effective quantum error correction techniques. Our study investigates these techniques, focusing on their practical application. We introduce QuantoTrace, a cloud-based platform offering Error Correction as a Service (ECaaS). It enhances quantum system reliability by detecting, analysing, and rectifying errors, and implements bit-flip error correction compatible with various quantum technologies. Using 3-qubit and 5-qubit models, we demonstrated its efficacy on quantum simulators and IBM quantum hardware. Remarkably, we achieved 100% error correction accuracy on simulators and significant success rates on IBM hardware: 68.95% for error correction and 86.04% for error detection in 5-qubit systems. However, the Quantum Repetition Code (QRC) showed limitations in handling multiple-qubit errors in 5-qubit systems. These findings highlight the potential of QuantoTrace which is based on Software as a Service principles in enhancing quantum computing reliability towards further research needs in quantum error correction, especially for noisy intermediate-scale quantum (NISQ) devices. QuantoTrace aims to simplify quantum error management, making it accessible to a broad user base and facilitating optimized quantum computing strategies.