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20232026
most citedMachine Learning for Practical Quantum Error Mitigation

63 citations · 197 across the 17 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

quant-ph2024

Bounding the systematic error in quantum error mitigation due to model violation

L. C. G. Govia, S. Majumder, S. V. Barron +7

Quantum error mitigation is a promising route to achieving quantum utility, and potentially quantum advantage in the near-term. Many state-of-the-art error mitigation schemes use k…

quant-ph2024

Entanglement-enhanced learning of quantum processes at scale

Alireza Seif, Senrui Chen, Swarnadeep Majumder +6

Learning unknown processes affecting a quantum system reveals underlying physical mechanisms and enables suppression, mitigation, and correction of unwanted effects. Describing a g…

quant-ph2024★ 49 cited

Quantum Fourier Transform using Dynamic Circuits

Elisa Bäumer, Vinay Tripathi, Alireza Seif +2

In dynamic quantum circuits, classical information from mid-circuit measurements is fed forward during circuit execution. This emerging capability of quantum computers confers nume…

quant-ph2024★ 16 cited

Suppressing Correlated Noise in Quantum Computers via Context-Aware Compiling

Alireza Seif, Haoran Liao, Vinay Tripathi +5

Coherent errors, and especially those that occur in correlation among a set of qubits, are detrimental for large-scale quantum computing. Correlations in noise can occur as a resul…

quant-ph2024★ 22 cited

Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows

Hong-Ye Hu, Andi Gu, Swarnadeep Majumder +7

Extracting information efficiently from quantum systems is a major component of quantum information processing tasks. Randomized measurements, or classical shadows, enable predicti…