Quantum Software Archives - IEEE Transactions on Quantum Engineering

Parallel Variational Quantum Algorithms With Gradient-Informed Restart to Speed Up Optimization in the Presence of Barren Plateaus

February 10, 2026Daniel Mastropietro, Georgios Korpas, Vyacheslav Kungurtsev, Jakub MarecekQuantum SoftwareApproximation algorithms, Cost function, Markov processes, Neural networks, Noise, Noise measurement, Quantum algorithm, Quantum circuit, Quantum entanglement, Simulated annealing

Abstract: Inspired by the Fleming–Viot stochastic process, we propose a parallel implementation with restart of variational quantum algorithms, with the aim of reducing the time spent by the algorithm in barren plateaus where the optimization direction is unclear. In the Fleming–Viot tradition, parallel searches are called particles. In the proposed approach, the search by a […]

Encrypted-State Quantum Compilation Scheme Based on Quantum Circuit Obfuscation for Quantum Cloud Platforms

January 29, 2026Chenyi Zhang, Tao Shang, Xueyi Guo, Yuanjing Zhang,Quantum SoftwareCircuits, Cloud computing, Cryptography, Hardware, Heuristic algorithms, Homomorphic encryption, Logic gates, Protection, Quantum circuit, Quantum computing

Abstract: With the rapid advancement of quantum computing, quantum compilation has become a crucial layer connecting high-level algorithms with physical hardware. In quantum cloud computing, compilation is performed on the cloud platforms, which expose user circuits to potential risks, such as structural leakage and output predictability. To address these issues, we propose the encrypted-state quantum […]

Improving Decision Diagram-Based Quantum Circuit Simulation Using Static Variable Ordering and Multinode Ring Communication

January 15, 2026Yusuke Kimura, Shaowen Li, Hiroyuki Sato, Masahiro Fujita, Robert WilleQuantum SoftwareCircuits, Computers, Logic gates, Memory management, Quantum algorithm, Quantum circuit, Quantum computing, Quantum state, Qubit, Vectors

Abstract: Currently, the development of quantum computers is active; however, large-scale machines remain limited and noisy. Furthermore, such quantum computers do not allow direct access to state vectors, posing challenges for quantum algorithm development. Quantum circuit simulators on classical computers offer a solution, with decision diagram (DD)-based simulators being particularly memory-efficient for representing quantum states. […]

Hardware-Aware and Resource-Efficient Circuit Packing and Scheduling on Trapped-Ion Quantum Computers

November 14, 2025Miguel Palma, Shuwen Kan, Wenqi Wei, Juntao Chen, Kaixun Hua, Sara Mouradian, Ying MaoQuantum SoftwareCloud computing, Computer architecture, Computers, Hardware, Logic gates, Processor scheduling, Quantum circuit, Qubit, Resource management, Throughput

Abstract: The rapid expansion of quantum cloud services has led to long job queues due to single-tenant execution models that underutilize hardware resources. Quantum multiprogramming (QMP) mitigates this by executing multiple circuits in parallel on a single device, but existing methods target superconducting systems with limited connectivity, high crosstalk, and lower gate fidelity. Trapped-ion architecture, […]

Hardware-Aware and Resource-Efficient Circuit Packing and Scheduling on Trapped-Ion Quantum Computers

A Dynamic Testing Strategy With Incremental Learning Model for Quantum Programs

October 31, 2025Linzhi Huang, Hanyu Pei, Yuechen Li, Beibei Yin, Kai-Yuan CaiQuantum SoftwareFault detection, Incremental learning, Measurement, Quantum state, Qubit, Software algorithms, Software reliability, Software testing, Subspace constraints, Testing

Abstract: Quantum computing has emerged as an innovative computational paradigm with great potential in various domains. As quantum computing advances, the development of high-quality quantum programs has become crucial, making it essential to ensure their reliability. Software testing plays a vital role in achieving the reliability and quality of software systems. Various testing strategies and […]

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 […]

Quantum Circuit Compilation for Trapped-Ion Processors With the Drive-Through Architecture

March 6, 2025Che-Ming Chang, Jie-Hong Roland Jiang, Dah-Wei Chiou, Ting Hsu, Guin-Dar LinQuantum SoftwareComputer architecture, Hardware, Heating systems, Ions, Logic gates, Program processors, Quantum cascade lasers, Quantum circuit, Quantum computing, Qubit

Abstract: Trapped-ion technologies stand out as leading contenders in the pursuit of quantum computing, due to their capacity for highly entangled qubits. Among many proposed trapped-ion architectures, the “drive-through” architecture has drawn increasing attention, notably for its remarkable ability to minimize heat generation, which is crucial for low-temperature operation and thermal noise reduction, thus reliable […]

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 […]

Benchmarking Quantum Machine Learning Kernel Training for Classification Tasks

February 13, 2025Diego Alvarez-EstevezQuantum SoftwareBenchmark testing, Estimation, Kernel, Machine learning, Quantum computing, Quantum mechanics, Quantum state, Support vector machines, Training, Vectors

Quantum-enhanced machine learning is a rapidly evolving field that aims to leverage the unique properties of quantum mechanics to enhance classical machine learning. However, the practical applicability of these methods remains an open question, particularly beyond the context of specifically crafted toy problems, and given the current limitations of quantum hardware. For more about this […]