Fetching the paper…
Reading the bibliography…
Quantum computing has the potential to offer substantial computational advantages over conventional computing.
Theoretical studies of enzymic reactions: Dielectric, electrostatic and steric stabilization of the carbonium ion in the reaction of lysozyme
A. Warshel and M. Levitt · 1976
Earlier work this paper cites.
Algorithms for quantum computation: discrete logarithms and factoring
Peter W Shor · 1994
Earlier work this paper cites.
Simulated quantum computation of molecular energies
Alán Aspuru-Guzik, Anthony D Dutoi, Peter J Love, and Martin Head-Gordon · 2005
Earlier work this paper cites.
Quantum algorithm for linear systems of equations
Aram W Harrow, Avinatan Hassidim, and Seth Lloyd · 2009
Earlier work this paper cites.
Quantum algorithm for data fitting
Nathan Wiebe, Daniel Braun, and Seth Lloyd · 2012
Earlier work this paper cites.
A quantum approximate optimization algorithm
Edward Farhi, Jeffrey Goldstone, and Sam Gutmann · 2014
Earlier work this paper cites.
Quantum simulation
Iulia M Georgescu, Sahel Ashhab, and Franco Nori · 2014
Earlier work this paper cites.
High-order quantum algorithm for solving linear differential equations
Dominic W Berry · 2014
Earlier work this paper cites.
Quantum principal component analysis
Seth Lloyd, Masoud Mohseni, and Patrick Rebentrost · 2014
Earlier work this paper cites.
Quantum support vector machine for big data classification
Patrick Rebentrost, Masoud Mohseni, and Seth Lloyd · 2014
Earlier work this paper cites.
A practical quantum instruction set architecture
Robert S Smith, Michael J Curtis, and William J Zeng · 2016
Earlier work this paper cites.
Open quantum assembly language
Andrew W Cross, Lev S Bishop, John A Smolin, and Jay M Gambetta · 2017
Earlier work this paper cites.
Quantum computing in the nisq era and beyond
John Preskill · 2018
Earlier work this paper cites.
Pyscf: the python-based simulations of chemistry framework
Qiming Sun, Timothy C Berkelbach, Nick S Blunt, George H Booth, Sheng Guo, Zhendong Li, Junzi Liu, James D McClain, Elvira R Sayfutyarova, Sandeep Sharma, et al · 2018
Cited alongside, same era.
Quantum generative adversarial networks for learning and loading random distributions
Christa Zoufal, Aurélien Lucchi, and Stefan Woerner · 2019
Cited alongside, same era.
Quantum convolutional neural networks
Iris Cong, Soonwon Choi, and Mikhail D. Lukin · 2019
Cited alongside, same era.
Unitary partitioning approach to the measurement problem in the variational quantum eigensolver method
Artur F Izmaylov, Tzu-Ching Yen, Robert A Lang, and Vladyslav Verteletskyi · 2019
Cited alongside, same era.
Is the trotterized uccsd ansatz chemically well-defined?
Harper R Grimsley, Daniel Claudino, Sophia E Economou, Edwin Barnes, and Nicholas J Mayhall · 2019
Cited alongside, same era.
Optimisation of diamond quantum processors
Quantum HF/DFT-embedding algorithms for electronic structure calculations: Scaling up to complex molecular systems
Max Rossmannek, Panagiotis Kl. Barkoutsos, Pauline J. Ollitrault, and Ivano Tavernelli · 2021
Later among the works it cites.
Solving quadratic unconstrained binary optimization with divide-and-conquer and quantum algorithms
Gian Giacomo Guerreschi · 2021
Later among the works it cites.
The variational quantum eigensolver: a review of methods and best practices
Jules Tilly, Hongxiang Chen, Shuxiang Cao, Dario Picozzi, Kanav Setia, Ying Li, Edward Grant, Leonard Wossnig, Ivan Rungger, George H Booth, et al · 2021
Later among the works it cites.
qbos: a python framework for the development of coprocessing quantum-classical applications
Seyed N. Saadatmand, Simon Yin, Michael L. Walker, Marcus W. Doherty, Maciej Cytowski, and Ugo Varetto · 2021
Later among the works it cites.
Pawsey installs first room-temperature on-premises quantum computer in a supercomputing centre, May 2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
YunHeng Chen, Sophie Stearn, Scott Vella, Andrew Horsley, and Marcus W Doherty · 2020
Cited alongside, same era.
XACC: a system-level software infrastructure for heterogeneous quantum–classical computing
Alexander J McCaskey, Dmitry I Lyakh, Eugene F Dumitrescu, Sarah S Powers, and Travis S Humble · 2020
Cited alongside, same era.
t— ket¿: a retargetable compiler for nisq devices
Seyon Sivarajah, Silas Dilkes, Alexander Cowtan, Will Simmons, Alec Edgington, and Ross Duncan · 2020
Cited alongside, same era.
Optimization of simultaneous measurement for variational quantum eigensolver applications
Pranav Gokhale, Olivia Angiuli, Yongshan Ding, Kaiwen Gui, Teague Tomesh, Martin Suchara, Margaret Martonosi, and Frederic T Chong · 2020
Cited alongside, same era.
Quantum accelerators: a new trajectory of quantum computers
Marcus Doherty · 2021
Cited alongside, same era.
The power of quantum neural networks
Amira Abbas, David Sutter, Christa Zoufal, Aurelien Lucchi, Alessio Figalli, and Stefan Woerner · 2021
Cited alongside, same era.
Quantum computers for high-performance computing
Travis S. Humble, Alexander McCaskey, Dmitry I. Lyakh, Meenambika Gowrishankar, Albert Frisch, and Thomas Monz · 2021
Cited alongside, same era.
Karina Nunez · 2022
Closest in time.
Quantum computing: A taxonomy, systematic review and future directions
Sukhpal Singh Gill, Adarsh Kumar, Harvinder Singh, Manmeet Singh, Kamalpreet Kaur, Muhammad Usman, and Rajkumar Buyya · 2022
Closest in time.
Quantum computing
Roman Rietsche, Christian Dremel, Samuel Bosch, Léa Steinacker, Miriam Meckel, and Jan-Marco Leimeister · 2022
Closest in time.
The variational quantum eigensolver: a review of methods and best practices
Jules Tilly, Hongxiang Chen, Shuxiang Cao, Dario Picozzi, Kanav Setia, Ying Li, Edward Grant, Leonard Wossnig, Ivan Rungger, George H Booth, et al · 2022
Closest in time.
Generalization in quantum machine learning from few training data
Matthias C. Caro, Hsin-Yuan Huang, M. Cerezo, Kunal Sharma, Andrew Sornborger, Lukasz Cincio, and Patrick J. Coles · 2022
Closest in time.
Solving workflow scheduling problems with QUBO modeling
A. I. Pakhomchik, S. Yudin, M. R. Perelshtein, A. Alekseyenko, and S. Yarkoni · 2022
Closest in time.
Circuit knitting with classical communication
Christophe Piveteau and David Sutter · 2022
Closest in time.
Doubling the size of quantum simulators by entanglement forging
Andrew Eddins, Mario Motta, Tanvi P. Gujarati, Sergey Bravyi, Antonio Mezzacapo, Charles Hadfield, and Sarah Sheldon · 2022
Closest in time.