Quantinuum Publications

Our experts in cybersecurity, computational chemistry, compositional intelligence, machine learning, optimization, simulation, software development tools, and hardware development are pushing boundaries and accelerating quantum computing.

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Compositional Intelligence

January 25, 2023

Vincent Wang-Mascianica, Jonathon Liu, Bob Coecke

Distilling Text into Circuits

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Machine Learning

January 13, 2023

Luuk Coopmans, Yuta Kikuchi, Marcello Benedetti

Predicting Gibbs State Expectation Values with Pure Thermal Shadows

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Computational Chemistry

December 16, 2022

Gabriel Greene-Diniz, David Zsolt Manrique, Wassil Sennane, Yann Magnin, Elvira Shishenina, Philippe Cordier, Philip Llewellyn, Michal Krompiec, Marko J. Rančić, David Muñoz Ramo

Modelling Carbon Capture on Metal-Organic Frameworks with Quantum Computing

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Computational Chemistry

November 29, 2022

Maria Andreea-Filip, David Muñoz Ramo, Nathan Fitzpatrick

Variational Phase Estimation with Variational Fast Forwarding

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Machine Learning

November 12, 2022

Chris N. Self, Marcello Benedetti, David Amaro

Protecting Expressive Circuits with a Quantum Error Detection Code

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Software

November 4, 2022

Seyon Sivarajah, Lukas Heidemann, Alan Lawrence, Ross Duncan

Tierkreis: A Dataflow Framework for Hybrid Quantum-Classical Computing

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Machine Learning

October 20, 2022

Chris N. Self, Sofyan Iblisdir, Gavin K. Brennen, Konstantinos Meichanetzidis

Estimating the Jones polynomial for Ising anyons on noisy quantum computers

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Hardware

October 14, 2022

Matthew DeCross, Eli Chertkov, Megan Kohagen, Michael Foss-Feig

Qubit-reuse compilation with mid-circuit measurement and reset

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Computational Chemistry

October 11, 2022

Michal Krompiec, David Muñoz Ramo

Strongly Contracted N-Electron Valence State Perturbation Theory Using Reduced Density Matrices from a Quantum Computer

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Machine Learning

October 11, 2022

Sebastian Leontica, David Amaro

Quantum optimization with Instantaneous Quantum Polynomial circuits

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