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quant-ph2026

Quantum Signal Processing for Linear PDEs: Circuit Design and Experimental Validation

Hyeongjin Kim, Revathi Jambunathan, Jan Balewski +1

Quantum algorithms offer new avenues for solving partial differential equations (PDEs). While the potential for end-to-end quantum advantage is at present not well understood, rece…

quant-ph2026

Efficient Quantum Implementation of Dynamical Mean Field Theory for Correlated Materials

Norman Hogan, Efekan Kökcü, Thomas Steckmann +6

The accurate theoretical description of materials with strongly correlated electrons is a formidable challenge in condensed matter physics and computational chemistry. Dynamical Me…

quant-ph2026

Quantum Rational Transformation Using Linear Combinations of Hamiltonian Simulations

Yizhi Shen, Niel Van Buggenhout, Daan Camps +2

Rational functions are exceptionally powerful tools in scientific computing, yet their abilities to advance quantum algorithms remain largely untapped. In this paper, we introduce…

quant-ph20253 cited

Efficient Measurement-Driven Eigenenergy Estimation with Classical Shadows

Yizhi Shen, Alex Buzali, Hong-Ye Hu +4

Quantum algorithms exploiting real-time evolution under a target Hamiltonian have demonstrated remarkable efficiency in extracting key spectral information. However, the broader po…

quant-ph2025

Observation of an anomaly in the statistics of Kibble-Zurek defects

Jan Balewski, Alexey Khudorozhkov, Siva Darbha +8

The Kibble-Zurek mechanism quantifies defect formation during adiabatic passage across a continuous phase transition, providing key insights into universality in quantum many-body…

quant-ph2025

The Practicality of Randomized Quantum Linear Systems Solvers

Siddharth Hariprakash, Roel Van Beeumen, Katherine Klymko +1

Randomized quantum algorithms have been proposed for quantum linear algebra with the goal of constructing shallower circuits than methods based on block encodings, and have been sp…