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20242026
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quant-ph2026

Observable Estimation in the Absence of Classical Verification

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

The paper proposes a framework to independently validate observable estimates from quantum computers when classical benchmarks are unavailable, using experiments such as the operat…

quant-ph2026

Resolving Structure in Prethermal Floquet Dynamics with Precision Quantum Computation

Eyal Leviatan, Tasneem Watad, Roy Perry +38

Periodically driven interacting quantum many-body systems can exhibit long-lived prethermal dynamics, where local observables retain coherent structure even as entanglement and ope…

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-ph2026

Benchmarking quantum simulation with neutron-scattering experiments

Yi-Ting Lee, Keerthi Kumaran, Bibek Pokharel +7

Realistic simulation of quantum materials is a central goal of quantum computation. Although quantum processors have advanced rapidly in scale and fidelity, it has remained unclear…

quant-ph2025

A Framework for Quantum Advantage

Olivia Lanes, Mourad Beji, Antonio D. Corcoles +12

As quantum computing approaches the threshold where certain tasks demonstrably outpace their classical machines, the need for a precise, clear, consensus-driven definition of quant…

quant-ph2025

Error mitigation with stabilized noise in superconducting quantum processors

Youngseok Kim, Luke C. G. Govia, Andrew Dane +10

Pre-fault tolerant quantum computers have already demonstrated the ability to estimate observable values accurately, at a scale beyond brute-force classical computation. This has b…