Open Access Archives - Page 4 of 15 - IEEE Transactions on Quantum Engineering

Hybrid Classical-Quantum Optimization Techniques for Solving Mixed-Integer Programming Problems in Production Scheduling

November 2, 2022Akshay AjagekarOpen Access, Quantum ComputingAnnealing, Computers, Job shop scheduling, Optimal scheduling, Processor scheduling, Quantum annealing, Qubit

Quantum computing (QC) holds great promise to open up a new era of computing and has been receiving significant attention recently. To overcome the performance limitations of near-term QC, utilizing the current quantum computers to complement classical techniques for solving real-world problems is of utmost importance. In this article, we develop QC-based solution strategies that […]

Practical Quantum K-Means Clustering: Performance Analysis and Applications in Energy Grid Classification

November 2, 2022Stephen DiAdamoOpen Access, Quantum ComputingBenchmark testing, Clustering algorithms, Computers, Estimation, Hardware, Measurement, Quantum computing

In this work, we aim to solve a practical use-case of unsupervised clustering that has applications in predictive maintenance in the energy operations sector using quantum computers. Using only cloud access to quantum computers, we complete thorough performance analysis of what some current quantum computing systems are capable of for practical applications involving nontrivial mid-to-high-dimensional […]

Deep Space Network Scheduling Using Quantum Annealing

November 2, 2022Alexandre GuillaumeOpen Access, Quantum ComputingAnnealing, Optimal scheduling, Optimization, Processor scheduling, Quantum annealing, Qubit, Schedules

The National Aeronautics and Space Administration’s (NASA) Deep Space Network (DSN) is responsible for communication and navigation for several NASA and international missions. The DSN comprises three complexes located in Goldstone (California, USA), Cambera (Australia), and Madrid (Spain). This distribution in longitude guarantees a full sky coverage. Each complex has one 70-m and several 34-m […]

Effects of Dynamical Decoupling and Pulse-Level Optimizations on IBM Quantum Computers

November 2, 2022Siyuan NiuOpen Access, Quantum ComputingCalibration, Computers, Hardware, Logic gates, Performance evaluation, Quantum computing, Qubit

Currently available quantum computers are prone to errors. Circuit optimization and error mitigation methods are needed to design quantum circuits to achieve better fidelity when executed on NISQ hardware. Dynamical decoupling (DD) is generally used to suppress the decoherence error, and different DD strategies have been proposed. Moreover, the circuit fidelity can be improved by […]

Mode-Manipulated Multimode Cavity for Quantum Memory

November 2, 2022Tae Hwan JangOpen Access, Quantum ComputingBandwidth, Frequency control, Geometry, Iris, Qubit, Resonant frequency, Three-dimensional displays

In this article, a quasi-elliptical geometry and the iris technique are applied to a multimode cavity to manipulate the resonant mode in the desired direction for quantum memories. By applying quasi-elliptical geometry, the characteristics of monotonically increasing, equally spaced, and monotonically decreasing frequency intervals between the modes are realized. To manipulate a certain mode, an […]

The Optimization and Application of 3-Bit Hermitian Gates and Multiple Control Toffoli Gates

November 2, 2022Hai-Sheng LiOpen Access, Quantum ComputingFault tolerance, Fault tolerant systems, Logic gates, Optimization, Quantum algorithm, Quantum circuit, Qubit

The well-known 3-bit Hermitian gate (a Toffoli gate) has been implemented using Clifford+T circuits. Compared with the Peres gate, its implementation circuit requires more controlled- not (cnot) gates. However, the Peres gate is not Hermitian. This article reports four 3-bit Hermitian gates named LI gates, whose realized circuits have the same T-count, T-depth, and cnot […]

Machine-Learning-Based Parameter Estimation of Gaussian Quantum States

November 2, 2022Neel Kanth KunduOpen Access, Quantum Sensing & MetrologyBayes methods, Estimation, Machine learning, Metrology, Parameter estimation, Phase estimation, Quantum state

In this article, we propose a machine-learning framework for parameter estimation of single-mode Gaussian quantum states. Under a Bayesian framework, our approach estimates parameters of suitable prior distributions from measured data. For phase-space displacement and squeezing parameter estimation, this is achieved by introducing expectation–maximization (EM)-based algorithms, while for phase parameter estimation, an empirical Bayes method […]

DQRA: Deep Quantum Routing Agent for Entanglement Routing in Quantum Networks

November 2, 2022Linh LeOpen Access, Quantum InternetNeural networks, Quantum entanglement, Quantum networks, Qubit, Repeaters, Routing, Teleportation

Quantum routing plays a key role in the development of the next-generation network system. In particular, an entangled routing path can be constructed with the help of quantum entanglement and swapping among particles (e.g., photons) associated with nodes in the network. From another side of computing, machine learning has achieved numerous breakthrough successes in various […]

Estimation of the CHSH Parameter Using HOM Interference

November 2, 2022Richard A. BrewsterOpen Access, Quantum InternetCrystals, Detectors, Interference, Optical variables measurement, Photonics, Quantum entanglement, Quantum optics

The Clauser–Horne–Shimony–Holt (CHSH) experiment is an essential test of nonlocality in quantum mechanics and can be used to validate the principle of entanglement. In addition to verifying entanglement, the measurable CHSH parameter can also be used to gauge the quality of the entanglement present in a system. The measurement of Hong–Ou–Mandel (HOM) interference is another […]

Long-Term Secure Distributed Storage Using Quantum Key Distribution Network With Third-Party Verification

November 2, 2022Mikio FujiwaraOpen Access, Quantum InternetAuthentication, Calculators, Cryptography, Data communication, Data integrity, Hash functions, Secure storage

The quantum key distribution (QKD) network with Vernam’s one-time pad encryption and secret sharing are powerful security tools to realize an information theoretically secure (ITS) distributed storage system. In the work of Fujiwara et al., a single-password-authenticated secret sharing (SPSS) scheme based on the QKD network and Shamirs secret sharing was experimentally demonstrated; it confirmed ITS […]