Quantum Computing Archives - IEEE Transactions on Quantum Engineering

Multiplexed Bilayered Realization of Fault-Tolerant Quantum Computation Over Optically Networked Trapped-Ion Modules

January 12, 2026Nitish Kumar Chandra Saikat Guha Kaushik P. SeshadreesanQuantum Computing, UncategorizedComputer architecture, Fault tolerance, Fault tolerant systems, Lattices, Logic gates, Noise, Optical variables measurement, Particle beam optics, Qubit, Trapped ions

Abstract: We study an architecture for fault-tolerant measurement-based quantum computation (FT-MBQC) over optically-networked trapped-ion modules. The architecture is implemented with a finite number of modules and ions per module, and leverages photonic interactions for generating remote entanglement between modules and local Coulomb interactions for intra-modular entangling gates. We focus on generating the topologically protected Raussendorf–Harrington–Goyal […]

Black-Box Optimization of the Storage Location Assignment Problem in Logistics Centers Using an Annealing Algorithm

December 19, 2025Hiromitsu Kigure Takeshi Baba Makoto Taniguchi Hirotaka KajiQuantum ComputingAnnealing, Closed box, Genetic algorithms, Hardware, Legged locomotion, Linear programming, Logistics, Mathematical models, Optimization, Quantum annealing

Abstract: The manufacturing industry encounters numerous optimization problems, one of which is the optimization of storage location assignment (OSLA) problem in logistics. OSLA is a combinatorial optimization problem focused on improving the efficiency of picking operations in logistics centers. We explore quantum annealing (QA) as a potential solution to combinatorial optimization problems and investigate its […]

Exploration of Design Alternatives for Reducing Idle Time in Shor’s Algorithm: A Study on Monolithic and Distributed Quantum Systems

September 17, 2025Moritz Schmidt Abhoy Kole Leon Wichette Rolf Drechsler Frank Kirchner Elie MounzerQuantum Computing, UncategorizedArithmetic, Computer architecture, Hardware, Logic gates, Optimization, Quantum circuit, Quantum computing, Qubit, Registers, Standards

Abstract: Shor’s algorithm is one of the most prominent quantum algorithms, yet finding efficient implementations remains an active research challenge. While many approaches focus on low-level modular arithmetic optimizations, a broader perspective can provide additional opportunities for improvement. By adopting a midlevel abstraction, we analyze the algorithm as a sequence of computational tasks, enabling systematic […]

DT-QFL: Dual-Timeline Quantum Federated Learning With Time-Symmetric Updates, Temporal Memory Kernels, and Reversed Gradient Dynamics

September 9, 2025Koffka Khan Khouler KhanQuantum Computing, UncategorizedAdaptation models, Computational modeling, Data models, Federated Learning, Kernel, Neural networks, Quantum computing, Robustness, Servers, Training

Abstract: Federated learning has emerged as a powerful paradigm for decentralized model training, ensuring privacy preservation by allowing clients to collaboratively learn a shared model without exchanging raw data. Quantum federated learning (QFL) extends this approach by leveraging quantum computing to enhance computational efficiency and security. However, existing QFL frameworks face challenges in handling temporal […]

Fast State Stabilization Using Deep Reinforcement Learning for Measurement-Based Quantum Feedback Control

September 4, 2025Chunxiang Song Yanan Liu Daoyi Dong Hidehiro YonezawaQuantum ComputingConvergence, Current measurement, Deep Reinforcement Learning, Feedback control, Quantum computing, Quantum entanglement, Quantum state, Quantum system, Trajectory, Velocity measurement

Abstract: The stabilization of quantum states is a fundamental problem for realizing various quantum technologies. Measurement-based-feedback strategies have demonstrated powerful performance, and the construction of quantum control signals using measurement information has attracted great interest. However, the interaction between quantum systems and the environment is inevitable, especially when measurements are introduced, which leads to decoherence. […]

A Grover-Meets-Simon Approach to Match Vector Boolean Functions

August 4, 2025Marco Venere; Alessandro Barenghi; Gerardo PelosiQuantum ComputingBenchmark testing, Boolean functions, Digital circuits, Integrated circuit interconnections, Libraries, Logic gates, Polynomials, Quantum algorithm, Time complexity, Vectors

Abstract: The Boolean matching problem via NP-equivalence requires determining whether two Boolean functions are equivalent or not up to a permutation and negation of the input binary variables. Its solution is a fundamental step in the electronic design automation (EDA) tool chains commonly used for digital circuit design. In fact, the library-mapping step of an […]

Control of a Josephson Digital Phase Detector via an SFQ-Based Flux Bias Driver

June 26, 2025Laura Di Marino; Luigi Di Palma; Michele Riccio; Francesco Fienga; Marco Arzeo; Oleg MukhanovQuantum ComputingDetectors, Integrated circuit modeling, Josephson junctions, Microwave theory and techniques, Noise, Oscillators, Phase detection, Qubit, Superconducting microwave devices, Switches

Abstract: Quantum computation requires high-fidelity qubit readout, preserving the quantum state. In the case of superconductings qubits, readout is typically performed using a complex analog experimental setup operating at room temperature, which poses significant technological and economic barriers to large system scalability. An alternative approach is to perform a cryogenic on-chip qubit readout based on […]

Cryo-CMOS Bias-Voltage Generation and Demultiplexing at mK Temperatures for Large-Scale Arrays of Quantum Devices

June 16, 2025Job van Staveren; Luc Enthoven; Peter Luka Bavdaz; Marcel Meyer; Corentin Déprez; Ville NuutinenQuantum ComputingCryogenics, Demultiplexing, Electrodes, Electromagnetic heating, FinFETs, Logic gates, Program processors, Qubit, Voltage control, Wiring

Abstract: The rapidly growing number of qubits in semiconductor quantum computers requires a scalable control interface, including the efficient generation of dc bias voltages for gate electrodes. To avoid unrealistically complex wiring between any room-temperature electronics and the cryogenic qubits, this article presents an integrated cryogenic solution for the bias-voltage generation and distribution for large-scale […]

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 […]

Reducing Quantum Error Correction Overhead With Versatile Flag-Sharing Syndrome Extraction Circuits

May 13, 2025Pei-Hao Liou; Ching-Yi LaiQuantum Computing, UncategorizedCircuits, Codes, Decoding, Error correction, Fault tolerance, Fault tolerant systems, Logic gates, Measurement uncertainty, Quantum computing, Qubit

Abstract: Given that quantum error correction processes are unreliable, an efficient error syndrome extraction circuit should use fewer ancillary qubits, quantum gates, and measurements while maintaining low circuit depth, to minimize the circuit area, roughly defined as the product of circuit depth and the number of physical qubits. We propose to design parallel flagged syndrome […]