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20172026
most citedOptimized Compilation of Aggregated Instructions for Realistic Quantum Computers

122 citations · 797 across the 38 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

quant-ph2019★ 58 cited

Partial Compilation of Variational Algorithms for Noisy Intermediate-Scale Quantum Machines

Pranav Gokhale, Yongshan Ding, Thomas Propson +6

Quantum computing is on the cusp of reality with Noisy Intermediate-Scale Quantum (NISQ) machines currently under development and testing. Some of the most promising algorithms for…

quant-ph2019★ 4 cited

Measurement Cost for Variational Quantum Eigensolver on Molecular Hamiltonians

Pranav Gokhale, Frederic T. Chong

Variational Quantum Eigensolver (VQE) is a promising algorithm for near-term quantum machines. It can be used to estimate the ground state energy of a molecule by performing separa…

quant-ph2019★ 81 cited

Minimizing State Preparations in Variational Quantum Eigensolver by Partitioning into Commuting Families

Pranav Gokhale, Olivia Angiuli, Yongshan Ding +5

Variational quantum eigensolver (VQE) is a promising algorithm suitable for near-term quantum machines. VQE aims to approximate the lowest eigenvalue of an exponentially sized matr…

quant-ph2019★ 102 cited

Asymptotic Improvements to Quantum Circuits via Qutrits

Pranav Gokhale, Jonathan M. Baker, Casey Duckering +3

Quantum computation is traditionally expressed in terms of quantum bits, or qubits. In this work, we instead consider three-level qu. Past work with qutrits has demonstrated…

quant-ph2019★ 122 cited

Optimized Compilation of Aggregated Instructions for Realistic Quantum Computers

Yunong Shi, Nelson Leung, Pranav Gokhale +4

Recent developments in engineering and algorithms have made real-world applications in quantum computing possible in the near future. Existing quantum programming languages and com…