15 citations · 26 across the 12 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…
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…
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…