A quantum blockchain-enabled framework for secure private electronic medical records in Internet of Medical Things

Z Qu, Z Zhang, M Zheng - Information Sciences, 2022 - Elsevier
There is a rising need for healthcare as a result of rising public awareness of health issues.
Electronic medical records include extremely confidential and sensitive information, and …

[HTML][HTML] Quantum detectable Byzantine agreement for distributed data trust management in blockchain

Z Qu, Z Zhang, B Liu, P Tiwari, X Ning… - Information Sciences, 2023 - Elsevier
No system entity within a contemporary distributed cyber system can be entirely trusted.
Hence, the classic centralized trust management method cannot be directly applied to it …

Econophysics of cryptocurrency crashes: a systematic review

AO Bielinskyi, OA Serdyuk - 2021 - elibrary.kdpu.edu.ua
Cryptocurrencies refer to a type of digital asset that uses distributed ledger, or blockchain
technology to enable a secure transaction. Like other financial assets, they show signs of …

IoMT-based smart healthcare detection system driven by quantum blockchain and quantum neural network

Z Qu, W Shi, B Liu, D Gupta… - IEEE journal of biomedical …, 2023 - ieeexplore.ieee.org
Electrocardiogram (ECG) is the main criterion for arrhythmia detection. As a means of
identification, ECG leakage seems to be a common occurrence due to the development of …

Navigating the quantum computing threat landscape for blockchains: A comprehensive survey

H Khodaiemehr, K Bagheri, C Feng - Authorea Preprints, 2023 - techrxiv.org
Quantum computers pose a significant threat to blockchain technology's security, which
heavily relies on public-key cryptography and hash functions. The cryptographic algorithms …

[HTML][HTML] Quantum conditional generative adversarial network based on patch method for abnormal electrocardiogram generation

Z Qu, W Shi, P Tiwari - Computers in Biology and Medicine, 2023 - Elsevier
To address the scarcity and class imbalance of abnormal electrocardiogram (ECG)
databases, which are crucial in AI-driven diagnostic tools for potential cardiovascular …

[HTML][HTML] HQ-DCGAN: Hybrid quantum deep convolutional generative adversarial network approach for ECG generation

Z Qu, W Chen, P Tiwari - Knowledge-Based Systems, 2024 - Elsevier
The class imbalance of electrocardiogram (ECG) data is a serious impediment to the
development of diagnostic systems for heart disease. To address this issue, this paper …

Introduction to quantum-resistant blockchain

OJ Unogwu, R Doshi, KK Hiran… - Advancements in quantum …, 2022 - igi-global.com
Quantum-resistant blockchains refer to cryptographic processes that are resistant to attacks
via quantum computers. Present public-key algorithms depend on the difficulty of …

Quantum bitcoin mining

R Benkoczi, D Gaur, N Nagy, M Nagy, S Hossain - Entropy, 2022 - mdpi.com
This paper studies the effect of quantum computers on Bitcoin mining. The shift in
computational paradigm towards quantum computation allows the entire search space of the …

Proof-of-work consensus by quantum sampling

D Singh, G Muraleedharan, B Fu… - Quantum Science …, 2023 - iopscience.iop.org
Since its advent in 2011, boson sampling has been a preferred candidate for demonstrating
quan-tum advantage because of its simplicity and near-term requirements compared to …