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20192024
most citedOptimized Compilation of Aggregated Instructions for Realistic Quantum Computers

122 citations · 319 across the 13 of their papers we have counts for

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quant-ph2024★ 1 cited

Bosehedral: Compiler Optimization for Bosonic Quantum Computing

Junyu Zhou, Yuhao Liu, Yunong Shi +2

Bosonic quantum computing, based on the infinite-dimensional qumodes, has shown promise for various practical applications that are classically hard. However, the lack of compiler…

quant-ph2022

Optimized Quantum Program Execution Ordering to Mitigate Errors in Simulations of Quantum Systems

Teague Tomesh, Kaiwen Gui, Pranav Gokhale +4

Simulating the time evolution of a physical system at quantum mechanical levels of detail -- known as Hamiltonian Simulation (HS) -- is an important and interesting problem across…

quant-ph2022

DigiQ: A Scalable Digital Controller for Quantum Computers Using SFQ Logic

Mohammad Reza Jokar, Richard Rines, Ghasem Pasandi +5

The control of cryogenic qubits in today's superconducting quantum computer prototypes presents significant scalability challenges due to the massive costs of generating/routing th…

quant-ph2021★ 2 cited

Paulihedral: A Generalized Block-Wise Compiler Optimization Framework For Quantum Simulation Kernels

Gushu Li, Anbang Wu, Yunong Shi +3

The quantum simulation kernel is an important subroutine appearing as a very long gate sequence in many quantum programs. In this paper, we propose Paulihedral, a block-wise compil…

quant-ph2021★ 3 cited

Software-Hardware Co-Optimization for Computational Chemistry on Superconducting Quantum Processors

Gushu Li, Yunong Shi, Ali Javadi-Abhari

Computational chemistry is the leading application to demonstrate the advantage of quantum computing in the near term. However, large-scale simulation of chemical systems on quantu…

quant-ph2020★ 38 cited

Resource-Efficient Quantum Computing by Breaking Abstractions

Yunong Shi, Pranav Gokhale, Prakash Murali +11

Building a quantum computer that surpasses the computational power of its classical counterpart is a great engineering challenge. Quantum software optimizations can provide an acce…

quant-ph2020

Optimized Quantum Compilation for Near-Term Algorithms with OpenPulse

Pranav Gokhale, Ali Javadi-Abhari, Nathan Earnest +2

Quantum computers are traditionally operated by programmers at the granularity of a gate-based instruction set. However, the actual device-level control of a quantum computer is pe…

quant-ph2020★ 18 cited

Term Grouping and Travelling Salesperson for Digital Quantum Simulation

Kaiwen Gui, Teague Tomesh, Pranav Gokhale +4

Digital simulation of quantum dynamics by evaluating the time evolution of a Hamiltonian is the initially proposed application of quantum computing. The large number of quantum gat…

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★ 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★ 64 cited

Fault-tolerant preparation of approximate GKP states

Yunong Shi, Christopher Chamberland, Andrew W. Cross

Gottesman-Kitaev-Preskill (GKP) states appear to be amongst the leading candidates for correcting errors when encoding qubits into oscillators. However the preparation of GKP state…

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…