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20172020
most citedNWChem: Past, Present, and Future

699 citations · 756 across the 4 of their papers we have counts for

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quant-ph20203 cited

TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture

Xin-Chuan Wu, Dripto M. Debroy, Yongshan Ding +4

Trapped-ion qubits are a leading technology for practical quantum computing. In this work, we present an architectural analysis of a linear-tape architecture for trapped ions. In o…

quant-ph202030 cited

Quantum Divide and Compute: Hardware Demonstrations and Noisy Simulations

Thomas Ayral, François-Marie Le Régent, Zain Saleem +2

Noisy, intermediate-scale quantum computers come with intrinsic limitations in terms of the number of qubits (circuit "width") and decoherence time (circuit "depth") they can have.…

quant-ph2019

Quantum Computer Systems for Scientific Discovery

Yuri Alexeev, Dave Bacon, Kenneth R. Brown +21

The great promise of quantum computers comes with the dual challenges of building them and finding their useful applications. We argue that these two challenges should be considere…

quant-ph2019

Full-State Quantum Circuit Simulation by Using Data Compression

Xin-Chuan Wu, Sheng Di, Emma Maitreyee Dasgupta +4

Quantum circuit simulations are critical for evaluating quantum algorithms and machines. However, the number of state amplitudes required for full simulation increases exponentiall…

quant-ph2018

Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression

Xin-Chuan Wu, Sheng Di, Franck Cappello +3

In order to evaluate, validate, and refine the design of new quantum algorithms or quantum computers, researchers and developers need methods to assess their correctness and fideli…

quant-ph2018

Amplitude-Aware Lossy Compression for Quantum Circuit Simulation

Xin-Chuan Wu, Sheng Di, Franck Cappello +3

Classical simulation of quantum circuits is crucial for evaluating and validating the design of new quantum algorithms. However, the number of quantum state amplitudes increases ex…