:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Chong-Wei, Sam, Mei Ian, Kuo, Tzu-Ling, Chen, Nan-Yow, Li, Tai-Yue
Format:	Preprint
Published:	2026
Subjects:	Quantum Physics
Online Access:	https://arxiv.org/abs/2601.03855
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantum Adaptive Excitation Network with Variational Quantum Circuits for Channel Attention
by: Hsu, Yu-Chao, et al.
Published: (2025)

Iterative Matrix Product State Simulation for Scalable Grover's Algorithm
by: Sam, Mei Ian, et al.
Published: (2026)

NetQIR: An Extension of QIR for Distributed Quantum Computing
by: Cardama, F. Javier, et al.
Published: (2024)

Quantum Pointwise Convolution: A Flexible and Scalable Approach for Neural Network Enhancement
by: Ning, An, et al.
Published: (2024)

Towards Supporting QIR: Steps for Adopting the Quantum Intermediate Representation
by: Stade, Yannick, et al.
Published: (2024)

Scalable Tensor Network Simulation for Quantum-Classical Dual Kernel
by: Sam, Mei Ian, et al.
Published: (2026)

Scalable Quantum Molecular Generation via GPU-Accelerated Tensor-Network Simulation
by: Xiao, Yu-Cheng, et al.
Published: (2026)

TANQ-Sim: Tensorcore Accelerated Noisy Quantum System Simulation via QIR on Perlmutter HPC
by: Li, Ang, et al.
Published: (2024)

Quantum Graph Attention Network: A Novel Quantum Multi-Head Attention Mechanism for Graph Learning
by: Ning, An, et al.
Published: (2025)

Variationally Compressing Quantum Circuits to Approximate Nonadiabatic Molecular Quantum Dynamics
by: Courtney, Joshua M., et al.
Published: (2026)

Programming Variational Quantum Circuits with Quantum-Train Agent
by: Liu, Chen-Yu, et al.
Published: (2024)

Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting
by: Hsu, Yu-Chao, et al.
Published: (2024)

JuliVQC: an Efficient Variational Quantum Circuit Simulator for Near-Term Quantum Algorithms
by: Liao, Wei-You, et al.
Published: (2024)

Topological Contextuality and Quantum Representations
by: Chou, Tzu-Miao
Published: (2025)

Quantum Circuit Distillation and Compression
by: Daimon, Shunsuke, et al.
Published: (2023)

Active Learning with Variational Quantum Circuits for Quantum Process Tomography
by: Yang, Jiaqi, et al.
Published: (2024)

Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits
by: Lee, Yu-Ting, et al.
Published: (2026)

PropHunt: Automated Optimization of Quantum Syndrome Measurement Circuits
by: Viszlai, Joshua, et al.
Published: (2026)

Variational Quantum Circuit Decoupling
by: Wang, Ximing, et al.
Published: (2024)

Constant-Depth Quantum Circuits for Arbitrary Quantum State Preparation via Measurement and Feedback
by: Zi, Wei, et al.
Published: (2025)

Quantum Depth Compression via Local Dynamic Circuits
by: Hall, Benjamin, et al.
Published: (2026)

Curvature-Aware Optimization of Noisy Variational Quantum Circuits via Weighted Projective Line Geometry
by: Cho, Gunhee, et al.
Published: (2025)

Measurement Reduction in Orbital‐Optimized Variational Quantum Eigensolver via Orbital Compression
by: Yanxian Tao, et al.
Published: (2026)

A Quantum Bluestein's Algorithm for Arbitrary-Size Quantum Fourier Transform
by: Kuo, Nan-Hong, et al.
Published: (2025)

Quantum Measurement for Quantum Chemistry on a Quantum Computer
by: Patel, Smik, et al.
Published: (2025)

Spacetime Quantum Circuit Complexity via Measurements
by: Du, Zhenyu, et al.
Published: (2024)

Validating Large-Scale Quantum Machine Learning: Efficient Simulation of Quantum Support Vector Machines Using Tensor Networks
by: Chen, Kuan-Cheng, et al.
Published: (2024)

Deep Circuit Compression for Quantum Dynamics via Tensor Networks
by: Gibbs, Joe, et al.
Published: (2024)

Measurement and Probability in Relativistic Quantum Mechanics
by: Seidewitz, Ed
Published: (2022)

Image Classification with Rotation-Invariant Variational Quantum Circuits
by: Sebastian, Paul San, et al.
Published: (2024)

Generative Quantum-inspired Kolmogorov-Arnold Eigensolver
by: Lin, Yu-Cheng, et al.
Published: (2026)

Quantum Data Representation via Circuit Partitioning and Reintegration
by: Guo, Ziqing, et al.
Published: (2025)

Evaluating Variational Quantum Circuit Architectures for Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2025)

Probability Distribution Analysis of the Cascaded Variational Quantum Eigensolver
by: Lai, Yi-Hua, et al.
Published: (2026)

QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memory
by: Hsu, Yu-Chao, et al.
Published: (2025)

Quality Diversity for Variational Quantum Circuit Optimization
by: Zorn, Maximilian, et al.
Published: (2025)

Learning Equivariant Maps with Variational Quantum Circuits
by: Bradshaw, Zachary P., et al.
Published: (2024)

Scalable Quantum Machine Learning via Multi-layer Fully-Connected Variational Quantum Circuits
by: Su, Howard, et al.
Published: (2026)

Formal Verification of Variational Quantum Circuits
by: Assolini, Nicola, et al.
Published: (2025)

Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments
by: Kruse, Georg, et al.
Published: (2023)