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20162026
most citedHybrid Quantum-Classical Hierarchy for Mitigation of Decoherence and Determination of Excited States

526 citations · 1.2k across the 25 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

quant-ph2021★ 43 cited

Computationally Efficient Zero Noise Extrapolation for Quantum Gate Error Mitigation

Vincent R. Pascuzzi, Andre He, Christian W. Bauer +2

Zero noise extrapolation (ZNE) is a widely used technique for gate error mitigation on near term quantum computers because it can be implemented in software and does not require kn…

quant-ph2021★ 46 cited

Algebraic Compression of Quantum Circuits for Hamiltonian Evolution

Efekan Kökcü, Daan Camps, Lindsay Bassman +4

Unitary evolution under a time dependent Hamiltonian is a key component of simulation on quantum hardware. Synthesizing the corresponding quantum circuit is typically done by break…

math.NA2021★ 27 cited

An Algebraic Quantum Circuit Compression Algorithm for Hamiltonian Simulation

Daan Camps, Efekan Kökcü, Lindsay Bassman +3

Quantum computing is a promising technology that harnesses the peculiarities of quantum mechanics to deliver computational speedups for some problems that are intractable to solve…

quant-ph2021★ 107 cited

Quantum simulation of non-equilibrium dynamics and thermalization in the Schwinger model

Wibe A. de Jong, Kyle Lee, James Mulligan +3

We present simulations of non-equilibrium dynamics of quantum field theories on digital quantum computers. As a representative example, we consider the Schwinger model, a 1+1 dimen…

cs.LG2021★ 8 cited

Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery

Yulun Wu, Mikaela Cashman, Nicholas Choma +13

We developed Distilled Graph Attention Policy Network (DGAPN), a reinforcement learning model to generate novel graph-structured chemical representations that optimize user-defined…

cs.LG2021★ 1 cited

Detecting Label Noise via Leave-One-Out Cross-Validation

Yu-Hang Tang, Yuanran Zhu, Wibe A. de Jong

We present a simple algorithm for identifying and correcting real-valued noisy labels from a mixture of clean and corrupted sample points using Gaussian process regression. A heter…