Accuracy Archives - IEEE Transactions on Quantum Engineering

Quantum-Assisted Optimization and Security for Trustworthy AI-Driven Healthcare

March 25, 2026Hafiz Muhammad Waseem, Gregory Epiphaniou, Carsten MapleOpen AccessAccuracy, Artificial intelligence, Complexity theory, Decision making, Electronic healthcare, Genomics, Medical services, Optimization, Scalability, Security

Abstract: Digital health increasingly relies on artificial intelligence for clinical decision-making, patient management, and distributed learning, yet two persistent challenges remain: the computational complexity of optimization tasks, such as operating-room scheduling and genomic feature selection, and the need for robust security in federated and Internet-of-Medical-Things (IoMT) systems that are vulnerable to poisoning and spoofing attacks. […]

QATNet: A Lightweight Quantum-Classical Tabular Network for Low-Latency Intrusion Detection

March 24, 2026Abubakar Danasabe, Muhammad Afaq, Aiman El-Maleh, Ajmal Khan, Sami El Ferik, Zeeshan KaleemOpen AccessAccuracy, Adaptation models, Computational modeling, Encoding, Feature extraction, Intrusion detection, Pipelines, Principal component analysis, Quantum circuit, Real-time systems

Abstract: Modern communication environments ranging from smart mobility infrastructures to digitally integrated healthcare systems demand adaptable and trustworthy network security. In this situation, Software-Defined Networks (SDNs) play a vital role by providing programmable control and global visibility, enabling rapid policy updates and fine-grained traffic management. As a result, the need for efficient and interpretable intrusion […]

Beyond asymptotic scaling: Comparing functional quantum linear solvers

March 16, 2026Andreea-Iulia Lefterovici, Michael Perk, Debora Ramacciotti, Antonio F. Rotundo, S. E. Skelton, Martin SteinbachOpen AccessAccuracy, Approximation algorithms, Benchmark testing, Complexity theory, Costs, Hardware, Linear systems, Mathematical models, Quantum algorithm, Standards

Abstract: Solving systems of linear equations is a key subroutine in many quantum algorithms. In the last 15 years, many quantum linear solvers (QLS) have been developed, competing to achieve the best asymptotic worst-case complexity. Most QLS assume fault-tolerant quantum computers, so they cannot yet be benchmarked on real hardware. Because an algorithm with better […]

Optimal Allocation of Pauli Measurements for Low-Rank Quantum State Tomography

January 16, 2026Zhen Qin, Casey Jameson, Zhexuan Gong, Michael B. Wakin, Zhihui ZhuQuantum InformationAccuracy, Current measurement, Density measurement, Loss measurement, Measurement uncertainty, Noise measurement, Optimization, Quantum state, Sensors, Tomography

Abstract: The process of reconstructing quantum states from experimental measurements, accomplished through quantum state tomography (QST), plays a crucial role in verifying and benchmarking quantum devices. A key challenge of QST is to find out how the accuracy of the reconstruction depends on the number of state copies used in the measurements. When multiple measurement […]

Combined Physical- and Link-Layer Protocols for Quantum Networks

November 7, 2025Benedikt Baier, Ria Rosenauer, Vili Li, Christian Deppe, Wolfgang KellererQuantum InternetAccuracy, Atomic measurements, Biological system modeling, Delays, Photon detectors, Protocols, Quantum entanglement, Quantum networks, Qubit, Runtime

Abstract: Future communication systems are expected to integrate quantum networks to enable highly secure communication and enhance computational capabilities. In quantum networks, communication is accomplished by sharing entanglement between remote locations, which is the basis for most known quantum protocols. Entanglement is a correlation between qubits that is not reproducible with classical means. However, as […]

Improved Belief Propagation Decoding Algorithms for Surface Codes

June 6, 2025Jiahan Chen; Zhengzhong Yi; Zhipeng Liang; Xuan WangUncategorizedAccuracy, Belief propagation, Codes, Complexity theory, Error correction, Maximum likelihood decoding, Noise, Qubit, Silicon, Time complexity

Abstract: Quantum error correction is crucial for universal fault-tolerant quantum computing. Highly accurate and low-time-complexity decoding algorithms play an indispensable role in ensuring quantum error correction works effectively. Among existing decoding algorithms, belief propagation (BP) is notable for its nearly linear time complexity and general applicability to stabilizer codes. However, BP’s decoding accuracy without postprocessing […]

Analysis of Parameterized Quantum Circuits: On the Connection Between Expressibility and Types of Quantum Gates

May 19, 2025Yu Liu; Kazuya Kaneko; Kentaro Baba; Jumpei Koyama; Koichi Kimura; Naoyuki TakedaQuantum Computing, UncategorizedAccuracy, Additives, Computational modeling, Integrated circuit modeling, Kernel, Logic gates, Predictive models, Quantum circuit, Qubit, Topology

Abstract: Expressibility is a crucial factor of a parameterized quantum circuit (PQC). In the context of variational-quantum-algorithm-based quantum machine learning (QML), a QML model composed of a highly expressible PQC and a sufficient number of qubits is theoretically capable of approximating any arbitrary continuous function. While much research has explored the relationship between expressibility and […]

Improving Probabilistic Error Cancellation in the Presence of Nonstationary Noise

August 23, 2024Samudra Dasgupta, Travis S. HumbleQuantum ComputingAccuracy, Logic gates, Noise, Noise measurement, Probabilistic logic, Quantum computing, Qubit

In this article, we investigate the stability of probabilistic error cancellation (PEC) outcomes in the presence of nonstationary noise, which is an obstacle to achieving accurate observable estimates. Leveraging Bayesian methods, we design a strategy to enhance PEC stability and accuracy. Our experiments using a five-qubit implementation of the Bernstein–Vazirani algorithm and conducted on the […]