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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

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-ph2026

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

Emmanouil Giortamis, Felix Gust, Aleksandra Świerkowska +8

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

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

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-ph2025

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…