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20062022
most citedQuantum Computer Systems for Scientific Discovery

247 citations · 1.6k across the 40 of their papers we have counts for

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Showing 2019 · quant-phShow all

12 papers · 2 filters

quant-ph2019★ 247 cited

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★ 136 cited

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-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★ 10 cited

CertiQ: A Mostly-automated Verification of a Realistic Quantum Compiler

Yunong Shi, Runzhou Tao, Xupeng Li +4

We present CertiQ, a verification framework for writing and verifying compiler passes of Qiskit, the most widely-used quantum compiler. To our knowledge, CertiQ is the first effort…

quant-ph2019★ 9 cited

Entanglement bounds on the performance of quantum computing architectures

Zachary Eldredge, Leo Zhou, Aniruddha Bapat +4

There are many possible architectures of qubit connectivity that designers of future quantum computers will need to choose between. However, the process of evaluating a particular…

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★ 14 cited

Resource Optimized Quantum Architectures for Surface Code Implementations of Magic-State Distillation

Adam Holmes, Yongshan Ding, Ali Javadi-Abhari +3

Quantum computers capable of solving classically intractable problems are under construction, and intermediate-scale devices are approaching completion. Current efforts to design l…

quant-ph2019★ 10 cited

Decomposing Quantum Generalized Toffoli with an Arbitrary Number of Ancilla

Jonathan M. Baker, Casey Duckering, Alexander Hoover +1

We present a general decomposition of the Generalized Toffoli, and for completeness, the multi-target gate using an arbitrary number of clean or dirty ancilla. While prior work has…

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…

quant-ph2019★ 20 cited

Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum Computers

Prakash Murali, Jonathan M. Baker, Ali Javadi Abhari +2

A massive gap exists between current quantum computing (QC) prototypes, and the size and scale required for many proposed QC algorithms. Current QC implementations are prone to noi…