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quant-ph2026

Observable Estimation in the Absence of Classical Verification

Samantha V. Barron, Bradley Mitchell, Vinay Tripathi +45

The predictive success of quantum mechanics underpins many areas of modern science, even as the exact simulation of large, interacting quantum systems remains beyond the reach of c…

quant-ph2026

Computing noise-canceling observables via Pauli propagation

Andrew Eddins, Caleb Johnson, Alberto Baiardi +8

The pursuit of quantum advantage is driving the co-evolution of quantum processors and classical simulation methods. Despite advances in scale and quality, the accuracy of quantum…

quant-ph2025

Disambiguating Pauli noise in quantum computers

Edward H. Chen, Senrui Chen, Laurin E. Fischer +7

To successfully perform quantum computations, it is often necessary to first accurately characterize the noise in the underlying hardware. However, it is well known that fundamenta…

quant-ph2024

Dynamical simulations of many-body quantum chaos on a quantum computer

Laurin E. Fischer, Matea Leahy, Andrew Eddins +16

Quantum circuits with local unitaries have emerged as a rich playground for the exploration of many-body quantum dynamics of discrete-time systems. While the intrinsic locality mak…

quant-ph2024

Lightcone shading for classically accelerated quantum error mitigation

Andrew Eddins, Minh C. Tran, Patrick Rall

Quantum error mitigation (QEM) can recover accurate expectation values from a noisy quantum computer by trading off bias for variance, such that an averaged result is more accurate…