Noise measurement Archives - IEEE Transactions on Quantum Engineering

Simulation of Shor Algorithm for Discrete Logarithm Problems With Comprehensive Pairs of Modulo p and Order q

July 21, 2025Kaito Kishi; Junpei Yamaguchi; Tetsuya Izu; Noboru KunihiroQuantum InformationComputers, Cryptography, Fourier transforms, Logic gates, Noise measurement, Quantum algorithm, Quantum circuit, Quantum computing, Qubit, Registers

Abstract: The discrete logarithm problem (DLP) over finite fields, commonly used in classical cryptography, has no known polynomial-time algorithm on classical computers. However, Shor has provided its polynomial-time algorithm on quantum computers. Nevertheless, there are only few examples simulating quantum circuits that operate on general pairs of modulo p and order q. In this article, […]

Fidelity-Aware Multipath Routing for Multipartite State Distribution in Quantum Networks

July 14, 2025Evan Sutcliffe; Alejandra BeghelliQuantum InternetNoise measurement, Performance evaluation, Probabilistic logic, Quantum entanglement, Quantum networks, Qubit, Routing, Routing protocols, Stars, Steiner trees

Abstract: We consider the problem of distributing entangled multipartite states across a quantum network with improved distribution rate and fidelity. For this, we propose fidelity-aware multipath routing protocols, assess their performance in terms of the rate and fidelity of the distributed Greenberger–Horne–Zeilinger (GHZ) states, and compare such performance against that of single-path routing. Simulation results […]

Emulation of Density Matrix Dynamics With Classical Analog Circuits

March 19, 2025Anthony J. Cressman, Rahul SarpeshkarQuantum ComputingAnalog circuits, Capacitors, Emulation, Mathematical models, Noise, Noise measurement, Quantum computing, Quantum system, Vectors, Voltage

Abstract: Analog circuits have emerged as a valuable quantum emulation and simulation platform. Specifically, they have been experimentally shown to excel in emulating coherent state vector dynamics and motifs of quantum circuits, such as the quantum Fourier transform, tensor product superpositions, two-level systems such as Josephson junctions, and nuclear magnetic resonance state dynamics, all on […]

Variational Quantum Algorithms for Differential Equations on a Noisy Quantum Computer

January 20, 2025Niclas Schillo, Andreas SturmQuantum ComputingComputers, Differential equations, Encoding, Hardware, Logic gates, Noise measurement, Quantum algorithm, Quantum cascade lasers, Quantum circuit, Qubit

The role of differential equations (DEs) in science and engineering is of paramount importance, as they provide the mathematical framework for a multitude of natural phenomena. Since quantum computers promise significant advantages over classical computers, quantum algorithms for the solution of DEs have received a lot of attention. Particularly interesting are algorithms that offer advantages […]

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 […]

Network Anomaly Detection Using Quantum Neural Networks on Noisy Quantum Computers

January 29, 2024Alon Kukliansky, Marko Orescanin, Chad Bollmann, Theodore Huffmire,Quantum ComputingComputer architecture, Noise measurement, Protocols, Quantum computing, Qubit, Support vector machines, Training

The escalating threat and impact of network-based attacks necessitate innovative intrusion detection systems. Machine learning has shown promise, with recent strides in quantum machine learning offering new avenues. However, the potential of quantum computing is tempered by challenges in current noisy intermediate-scale quantum era machines. In this article, we explore quantum neural networks (QNNs) for […]

Corrections to “The Present and Future of Discrete Logarithm Problems on Noisy Quantum Computers”

August 18, 2023Yoshinori AonoCorrectionsMedia, Meters, Noise level, Noise measurement, Object recognition, Quantum computing, Solid modeling

Presents corrections to the article “The Present and Future of Discrete Logarithm Problems on Noisy Quantum Computers”. For more about this article see link below. https://ieeexplore.ieee.org/document/10185464 For the open access PDF link of this article please click.

Testing Platform-Independent Quantum Error Mitigation on Noisy Quantum Computers

August 15, 2023Vincent RussoQuantum ComputingBenchmark testing, Computers, Logic gates, Noise measurement, Quantum computing, Qubit, Superconducting devices

We apply quantum error mitigation (QEM) techniques to a variety of benchmark problems and quantum computers to evaluate the performance of QEM in practice. To do so, we define an empirically motivated, resource-normalized metric of the improvement of error mitigation, which we call the improvement factor, and calculate this metric for each experiment we perform. […]

Enabling Efficient Real-Time Calibration on Cloud Quantum Machines

June 14, 2023Yiding LiuQuantum ComputingCalibration, Logic gates, Noise measurement, Quantum computing, Qubit, Reliability, Task analysis

Noisy intermediate-scale quantum computers are widely used for quantum computing (QC) from quantum cloud providers. Among them, superconducting quantum computers, with their high scalability and mature processing technology based on traditional silicon-based chips, have become the preferred solution for most commercial companies and research institutions to develop QC. However, superconducting quantum computers suffer from fluctuation […]

Variational Quantum Optimization of Nonlocality in Noisy Quantum Networks

March 31, 2023Brian DoolittleQuantum Networking & CommunicationsHardware, Integrated circuit modeling, Noise measurement, Optimization, Quantum entanglement, Quantum networks, Qubit

The noise and complexity inherent to quantum communication networks leads to technical challenges in designing quantum network protocols using classical methods. We address this issue with a hybrid variational quantum optimization (VQO) framework that simulates quantum networks on quantum hardware and optimizes the simulation using differential programming. We maximize nonlocality in noisy quantum networks to […]