Logic gates Archives - IEEE Transactions on Quantum Engineering

Optimized Distribution of Entanglement Graph States in Quantum Networks

March 17, 2025Xiaojie Fan, Caitao Zhan, Himanshu Gupta, C. R. RamakrishnanQuantum InternetAtom optics, Fans, Logic gates, Optical devices, Optical network units, Quantum computing, Quantum entanglement, Quantum networks, Qubit, Tree graphs

Building large-scale quantum computers, essential to demonstrating quantum advantage, is a key challenge. Quantum networks can help address this challenge by enabling the construction of large, robust, and more capable quantum computing platforms by connecting smaller quantum computers. Moreover, unlike classical systems, quantum networks can enable fully secured long-distance communication. Thus, quantum networks lie at […]

Explicit Quantum Circuit for Simulating the Advection–Diffusion–Reaction Dynamics

February 21, 2025Claudio Sanavio, Enea Mauri, Sauro SucciQuantum ComputingComputational fluid dynamics, Convergence, Encoding, Logic gates, Logistics, Mathematical models, Polynomials, Quantum algorithm, Quantum circuit, Qubit

We assess the convergence of the Carleman linearization of advection–diffusion–reaction (ADR) equations with a logistic nonlinearity. It is shown that five Carleman iterates provide a satisfactory approximation of the original ADR across a broad range of parameters and strength of nonlinearity. To assess the feasibility of a quantum algorithm based on this linearization, we analyze […]

Generating Shuttling Procedures for Constrained Silicon Quantum Dot Array

February 14, 2025Naoto Sato, Tomonori Sekiguchi, Takeru Utsugi, Hiroyuki MizunoQuantum SoftwareCrosstalk, Electrons, Large scale integration, Logic gates, Quantum circuit, Quantum dots, Qubit, Silicon, Symbols, Voltage measurement

In silicon quantum computers, a single electron is trapped in a microstructure called a quantum dot, and its spin is used as a qubit. For large-scale integration of qubits, we previously proposed an approach of sharing a control gate in the row or column of a 2-D quantum dot array. In our array, the shuttling […]

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 […]

Benchmarking Quantum Circuit Transformation With QKNOB Circuits

January 8, 2025Sanjiang Li, Xiangzhen Zhou, Yuan FengQuantum SoftwareApproximation algorithms, Benchmark testing, Costs, Logic gates, Performance evaluation, Quantum circuit, Quantum mechanics, Qubit, Scalability, Transforms

Current superconducting quantum devices impose strict connectivity constraints on quantum circuit execution, necessitating circuit transformation before executing quantum circuits on physical hardware. Numerous quantum circuit transformation (QCT) algorithms have been proposed. To enable faithful evaluation of state-of-the-art QCT algorithms, this article introduces qubit mapping benchmark with known near-optimality (QKNOB), a novel benchmark construction method for […]

Dissipative Variational Quantum Algorithms for Gibbs State Preparation

December 4, 2024Yigal Ilin, Itai AradQuantum ComputingCost function, Hardware, Logic gates, Noise, Quantum algorithm, Quantum circuit, Quantum computing, Qubit, Resilience, Toy manufacturing industry

In recent years, variational quantum algorithms have gained significant attention due to their adaptability and efficiency on near-term quantum hardware. They have shown potential in a variety of tasks, including linear algebra, search problems, Gibbs, and ground state preparation. Nevertheless, the presence of noise in current day quantum hardware severely limits their performance. In this […]

Grover’s Oracle for the Shortest Vector Problem and Its Application in Hybrid Classical–Quantum Solvers

November 18, 2024Miloš Prokop, Petros Wallden, David JosephQuantum ComputingAlgorithms, Costs, Hardware, Lattices, Logic gates, Quantum algorithm, Quantum annealing, Qubit, Sieving, Vectors

Finding the shortest vector in a lattice is a problem that is believed to be hard both for classical and quantum computers. Many major postquantum secure cryptosystems base their security on the hardness of the shortest vector problem (SVP) (Moody, 2023). Finding the best classical, quantum, or hybrid classical–quantum algorithms for the SVP is necessary […]

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 […]

Simulation of Charge Stability Diagrams for Automated Tuning Solutions (SimCATS)

August 20, 2024Fabian Hader, Sarah Fleitmann, Jan Vogelbruch, Lotte Geck, Stefan van WaasenEnabling TechnologiesComputational modeling, Electrons, Logic gates, Quantum computing, Quantum dots, Quantum mechanics, Tuning

Quantum dots (QDs) must be tuned precisely to provide a suitable basis for quantum computation. A scalable platform for quantum computing can only be achieved by fully automating the tuning process. One crucial step is to trap the appropriate number of electrons in the QDs, typically accomplished by analyzing charge stability diagrams (CSDs). Training and […]

Fault-Tolerant One-Way Noiseless Amplification for Microwave Bosonic Quantum Information Processing

August 7, 2024Hany Khalifa, Riku Jäntti, Gheorghe Sorin ParaoanuQuantum InternetComputational modeling, Logic gates, Microwave amplifiers, Photonics, Propagation losses, Quantum entanglement, Qubit

Microwave quantum information networks require reliable transmission of single-photon propagating modes over lossy channels. In this article, we propose a microwave noiseless linear amplifier (NLA) suitable to circumvent the losses incurred by a flying photon undergoing an amplitude damping channel (ADC). The proposed model is constructed by engineering a simple 1-D four-node cluster state. Contrary […]