344 citations · 1.9k across the 37 of their papers we have counts for
37 papers
Hybrid Method of Efficient Simulation of Physics Applications for a Quantum Computer
Carla Rieger, Albert T. Schmitz, Gehad Salem +5
Quantum chemistry and materials science are among the most promising areas for demonstrating algorithmic quantum advantage and quantum utility due to their inherent quantum mechani…
Operating two exchange-only qubits in parallel
Mateusz T. Mądzik, Florian Luthi, Gian Giacomo Guerreschi +38
Semiconductors are among the most promising platforms to implement large-scale quantum computers, as advanced manufacturing techniques allow fabrication of large quantum dot arrays…
Short two-qubit pulse sequences for exchange-only spin qubits in 2D layouts
Jason D. Chadwick, Gian Giacomo Guerreschi, Florian Luthi +9
Exchange-only (EO) spin qubits in quantum dots offer an expansive design landscape for architecting scalable device layouts. The study of two-EO-qubit operations, which involve six…
Operational Framework for a Quantum Database
Carla Rieger, Michele Grossi, Gian Giacomo Guerreschi +2
Databases are an essential component of modern computing infrastructures and allow efficient manipulation of inherently structured data. The structure depends on the type and relat…
Optimization at the Interface of Unitary and Non-unitary Quantum Operations in PCOAST
Albert T. Schmitz, Mohannad Ibrahim, Nicolas P. D. Sawaya +4
The Pauli-based Circuit Optimization, Analysis and Synthesis Toolchain (PCOAST) was recently introduced as a framework for optimizing quantum circuits. It converts a quantum circui…
Realization of a quantum neural network using repeat-until-success circuits in a superconducting quantum processor
M. S. Moreira, G. G. Guerreschi, W. Vlothuizen +14
Artificial neural networks are becoming an integral part of digital solutions to complex problems. However, employing neural networks on quantum processors faces challenges related…
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…
Biology and medicine in the landscape of quantum advantages
Benjamin A. Cordier, Nicolas P. D. Sawaya, Gian G. Guerreschi +1
Quantum computing holds significant potential for applications in biology and medicine, spanning from the simulation of biomolecules to machine learning approaches for subtyping ca…
Mapping Surface Code to Superconducting Quantum Processors
Anbang Wu, Gushu Li, Hezi Zhang +3
In this paper, we formally describe the three challenges of mapping surface code on superconducting devices, and present a comprehensive synthesis framework to overcome these chall…
QECV: Quantum Error Correction Verification
Anbang Wu, Gushu Li, Hezi Zhang +3
Quantum Error Correction (QEC) is essential for fault-tolerant quantum copmutation, and its implementation is a very sophisticated process involving both quantum and classical hard…
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…
Fast simulation of quantum algorithms using circuit optimization
Gian Giacomo Guerreschi
Classical simulators play a major role in the development and benchmark of quantum algorithms and practically any software framework for quantum computation provides the option of…
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…
Evaluation of QAOA based on the approximation ratio of individual samples
Jason Larkin, Matías Jonsson, Daniel Justice +1
The Quantum Approximate Optimization Algorithm (QAOA) is a hybrid quantum-classical algorithm to solve binary-variable optimization problems. Due to the short circuit depth and its…
Quantum computer-aided design: digital quantum simulation of quantum processors
Thi Ha Kyaw, Tim Menke, Sukin Sim +5
With the increasing size of quantum processors, sub-modules that constitute the processor hardware will become too large to accurately simulate on a classical computer. Therefore,…
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…
Resource-efficient digital quantum simulation of -level systems for photonic, vibrational, and spin- Hamiltonians
Nicolas P. D. Sawaya, Tim Menke, Thi Ha Kyaw +3
Simulation of quantum systems is expected to be one of the most important applications of quantum computing, with much of the theoretical work so far having focused on fermionic an…
QAOA for Max-Cut requires hundreds of qubits for quantum speed-up
G. G. Guerreschi, A. Y. Matsuura
Computational quantum technologies are entering a new phase in which noisy intermediate-scale quantum computers are available, but are still too small to benefit from active error…
Impact of qubit connectivity on quantum algorithm performance
Adam Holmes, Sonika Johri, Gian Giacomo Guerreschi +2
Quantum computing hardware is undergoing rapid development from proof-of-principle devices to scalable machines that could eventually challenge classical supercomputers on specific…
Repeat-Until-Success circuits with fixed-point oblivious amplitude amplification
Gian Giacomo Guerreschi
Certain quantum operations can be built more efficiently through a procedure known as Repeat-Until-Success. Differently from other non-deterministic quantum operations, this proced…
cQASM v1.0: Towards a Common Quantum Assembly Language
N. Khammassi, G. G. Guerreschi, I. Ashraf +3
The quantum assembly language (QASM) is a popular intermediate representation used in many quantum compilation and simulation tools to describe quantum circuits. Currently, multipl…
Quantum Neuron: an elementary building block for machine learning on quantum computers
Yudong Cao, Gian Giacomo Guerreschi, Alán Aspuru-Guzik
Even the most sophisticated artificial neural networks are built by aggregating substantially identical units called neurons. A neuron receives multiple signals, internally combine…