Quantum computing Archives - IEEE Transactions on Quantum Engineering

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 […]

Benchmarking the Ability of a Controller to Execute Quantum Error Corrected Non-Clifford Circuits

September 9, 2025Yaniv Kurman Lior Ella Ramon Szmuk Oded Wertheim Benedikt Dorschner Sam StanwyckEnabling TechnologiesBenchmark testing, Circuits, Codes, Decoding, Fault tolerance, Fault tolerant systems, Logic gates, Measurement uncertainty, Quantum computing, Qubit

Abstract: Reaching fault-tolerant quantum computation relies on the successful implementation of non-Clifford circuits with quantum error correction (QEC). In QEC, quantum gates and measurements encode quantum information into an error-protected Hilbert space, while classical processing decodes the measurements into logical errors. QEC non-Clifford gates pose the greatest computation challenge from the classical controller’s perspective, as […]

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. […]

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, […]

Memory-Optimized Cubic Splines for High-Fidelity Quantum Operations

May 28, 2025Jan Ole Ernst; Jan Snoeijs; Mitchell Peaks; Jochen WolfEnabling Technologies, UncategorizedCurve fitting, Field programmable gate arrays, Fitting, Hardware, Logic gates, Memory management, Polynomials, Quantum computing, Qubit, Splines (mathematics)

Abstract: Radio frequency pulses are preponderant for the control of quantum bits and the execution of operations in quantum computers. The ability to fine-tune key pulse parameters, such as time-dependent amplitude, phase, and frequency, is essential to achieve maximal gate fidelity and mitigate errors. As systems increase in scale, a larger proportion of the control […]

Q-Gen: A Parameterized Quantum Circuit Generator

May 20, 2025Yikai Mao; Shaswot Shresthamali; Masaaki KondoQuantum Software, UncategorizedComplexity theory, Computational modeling, Generators, Integrated circuit modeling, Logic gates, Quantum algorithm, Quantum circuit, Quantum computing, Quantum mechanics, Qubit

Abstract: Unlike most classical algorithms that take an input and give the solution directly as an output, quantum algorithms produce a quantum circuit that works as an indirect solution to computationally hard problems. In the full quantum computing workflow, most data processing remains in the classical domain except for running the quantum circuit in the […]

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 […]

Modeling and Performance Evaluation of Hybrid Classical–Quantum Serverless Computing Platforms

May 6, 2025Claudio CicconettiQuantum ComputingComputational modeling, Containers, Delays, Logic gates, Mathematical models, Numerical models, Optimization, Quantum circuit, Quantum computing, Serverless computing

Abstract: While quantum computing technologies are evolving toward achieving full maturity, hybrid algorithms, such as variational quantum computing, are already emerging as valid candidates to solve practical problems in fields, such as chemistry and operations research. This situation calls for a tighter and better integration of classical and quantum computing infrastructures to improve efficiency and […]

A Comprehensive Cross-Model Framework for Benchmarking the Performance of Quantum Hamiltonian Simulations

April 4, 2025Avimita Chatterjee; Sonny Rappaport; Anish Giri; Sonika Johri; Timothy Proctor; David E. Bernal NeiraQuantum ComputingBenchmark testing, Computational modeling, Hardware, Integrated circuit modeling, Legged locomotion, Noise, Quantum algorithm, Quantum computing, Qubit, Software algorithms

Abstract: Quantum Hamiltonian simulation is one of the most promising applications of quantum computing and forms the basis for many quantum algorithms. Benchmarking them is an important gauge of progress in quantum computing technology. We present a methodology and software framework to evaluate various facets of the performance of gate-based quantum computers on Trotterized quantum […]