114 citations · 159 across the 6 of their papers we have counts for
13 papers
An LLVM-based C++ Compiler Toolchain for Variational Hybrid Quantum-Classical Algorithms and Quantum Accelerators
Pradnya Khalate, Xin-Chuan Wu, Shavindra Premaratne +6
Variational algorithms are a representative class of quantum computing workloads that combine quantum and classical computing. This paper presents an LLVM-based C++ compiler toolch…
Solving Quadratic Unconstrained Binary Optimization with divide-and-conquer and quantum algorithms
Gian Giacomo Guerreschi
Quadratic Unconstrained Binary Optimization (QUBO) is a broad class of optimization problems with many practical applications. To solve its hard instances in an exact way, known cl…
Realizing Quantum Algorithms on Real Quantum Computing Devices
Carmen G. Almudever, Lingling Lao, Robert Wille +1
Quantum computing is currently moving from an academic idea to a practical reality. Quantum computing in the cloud is already available and allows users from all over the world to…
On connectivity-dependent resource requirements for digital quantum simulation of -level particles
Nicolas P. D. Sawaya, Gian Giacomo Guerreschi, Adam Holmes
A primary objective of quantum computation is to efficiently simulate quantum physics. Scientifically and technologically important quantum Hamiltonians include those with spin-…
Intel Quantum Simulator: A cloud-ready high-performance simulator of quantum circuits
Gian Giacomo Guerreschi, Justin Hogaboam, Fabio Baruffa +1
Classical simulation of quantum computers will continue to play an essential role in the progress of quantum information science, both for numerical studies of quantum algorithms a…
Scheduler of quantum circuits based on dynamical pattern improvement and its application to hardware design
Gian Giacomo Guerreschi
As quantum hardware increases in complexity, successful algorithmic execution relies more heavily on awareness of existing device constraints. In this work we focus on the problem…