activity
20232026
most citedIntegration of Quantum Accelerators with High Performance Computing -- A Review of Quantum Programming Tools

15 citations · 26 across the 12 of their papers we have counts for

collaborators

14 papers

cond-mat.str-el2026

Matrix-product-state GPLHR for non-Hermitian many-body eigenproblems

Xingyao Wu, Zhangyu Yang, Yanbin Chen +2

Computing multiple eigenstates of non-Hermitian many-body operators plays an important role in investigating excitation spectra, spectral properties, and relaxation dynamics in int…

cs.AR2026

Vectorizing Quantum Control: A RISC-V Vector Extension Architecture for Scalable Qubit Systems

Xiaorang Guo, Kun Qin, Yanbin Chen +2

The Quantum Control Processor (QCP) bridges the gap between compiler toolchains and control electronics, and is responsible for translating compiled quantum circuits into executabl…

quant-ph2026

GPU-Accelerated Host-Aware Dead-Measurement Detection in Hybrid Quantum--Classical Programs: Full Version

Yanbin Chen, Qunyou Liu, Yu Wang +2

Hybrid programs combine a quantum circuit with a classical host program that consumes measurement outcomes. In such programs, an outcome may be syntactically read by the host but s…

quant-ph2026

Branch-Aware Quantum Constant Propagation for Dynamic Quantum Circuits

Innocenzo Fulginiti, Yanbin Chen

Compile-time optimization is important for improving the efficiency and reliability of quantum circuits on current noisy hardware. While many existing methods simplify circuits usi…

quant-ph2026★ 1 cited

Compile-Time Simplification of Classically Controlled Operations in Dynamic Circuits

Innocenzo Fulginiti, Yanbin Chen, Christian B. Mendl +1

Dynamic circuits use real-time outcomes of mid-circuit measurements, processed by a classical controller, to adapt subsequent operations during circuit execution. This additional f…

quant-ph2026

MCMit: Hardware-Software Co-Design for Mid-Circuit Measurement Error Mitigation

Emmanouil Giortamis, Felix Gust, Aleksandra Świerkowska +7

Distributed Quantum Computing (DQC) and Quantum Error Correction (QEC) rely on dynamic circuits that include Mid-Circuit Measurements (MCMs) and classical feedback. These operation…

cs.ET2026

Practical Insights into Fair Comparison and Evaluation Frame for Neutral-Atom Compilers

Emil Khusainov, Yanbin Chen, Jonas Winklmann +2

Neutral-atom quantum computing is among the most promising platforms for scalable quantum computation, and compilation toolchains are crucial for leveraging capabilities such as qu…

quant-ph2025

A Quantum Algorithm with Polylogarithmic Depth per Trotter Step for the Extended Hubbard Model

Yu Wang, Martina Nibbi, Maxine Luo +4

The extended Hubbard model on a two-dimensional lattice captures key physical phenomena, but its simulation remains challenging because long-range interactions give rise to a large…

quant-ph2025★ 2 cited

Optimization Framework for Reducing Mid-circuit Measurements and Resets

Yanbin Chen, Innocenzo Fulginiti, Christian B. Mendl

The paper addresses the optimization of dynamic circuits in quantum computing, with a focus on reducing the cost of mid-circuit measurements and resets. We extend the probabilistic…

quant-ph2025★ 2 cited

Dead Gate Elimination

Yanbin Chen, Christian B. Mendl, Helmut Seidl

Hybrid quantum algorithms combine the strengths of quantum and classical computing. Many quantum algorithms, such as the variational quantum eigensolver (VQE), leverage this synerg…

cs.PL2025

Unleashing Optimizations in Dynamic Circuits through Branch Expansion

Yanbin Chen

Dynamic quantum circuits enable adaptive operations through intermediate measurements and classical feedback. Current transpilation toolchains, such as Qiskit and T$\ket{\text{ket}…

quant-ph2024★ 5 cited

Reducing Mid-Circuit Measurements via Probabilistic Circuits

Yanbin Chen, Innocenzo Fulginiti, Christian B. Mendl

Mid-circuit measurements and measurement-controlled gates are supported by an increasing number of quantum hardware platforms and will become more relevant as an essential building…

quant-ph2024★ 1 cited

Enhancing Scalability of Quantum Eigenvalue Transformation of Unitary Matrices for Ground State Preparation through Adaptive Finer Filtering

Erenay Karacan, Yanbin Chen, Christian B. Mendl

Hamiltonian simulation is a domain where quantum computers have the potential to outperform their classical counterparts. One of the main challenges of such quantum algorithms is i…

cs.ET2023★ 15 cited

Integration of Quantum Accelerators with High Performance Computing -- A Review of Quantum Programming Tools

Amr Elsharkawy, Xiao-Ting Michelle To, Philipp Seitz +9

Quantum computing (QC) introduces a novel mode of computation with the possibility of greater computational power that remains to be exploited - presenting exciting opportunities f…