Developing what’s next in quantum computing

Our experts in quantum artificial intelligence, cyber security, computational chemistry, and hardware development are pushing boundaries and accelerating quantum computing.

Two global quantum computing leaders, Cambridge Quantum
and Honeywell Quantum Solutions combine to form the largest
integrated quantum computer company in the world.

Publications

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Machine Learning

September 2022

Enrique Cervero Martin, Kirill Plekhanov, Michael Lubasch

Barren plateaus in quantum tensor network optimization

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TKET

August 2022

Enrico Fontana, Ivan Rungger, Ross Duncan, Cristina Cîrstoiu

Efficient recovery of variational quantum algorithms landscapes using classical signal processing

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Hardware

August 2022

C. Ryan-Anderson, N. C. Brown, M. S. Allman, B. Arkin, G. Asa-Attuah, C. Baldwin, J. Berg, J. G. Bohnet, S. Braxton, N. Burdick, J. P. Campora, A. Chernoguzov, J. Esposito, B. Evans, D. Francois, J. P. Gaebler, T. M. Gatterman, J. Gerber, K. Gilmore, D. Gresh, A. Hall, A. Hankin, J. Hostetter, D. Lucchetti, K. Mayer, J. Myers, B. Neyenhuis, J. Santiago, J. Sedlacek, T. Skripka, A. Slattery, R. P. Stutz, J. Tait, R. Tobey, G. Vittorini, J. Walker, D. Hayes

Implementing Fault-tolerant Entangling Gates on the Five-qubit Code and the Color Code

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Machine Learning

June 2022

Luuk Coopmans, Yuta Kikuchi, Marcello Benedetti

Predicting Gibbs State Expectation Values with Pure Thermal Shadows

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Hardware

June 2022

William Cody Burton, Brian Estey, Ian M. Hoffman, Abigail R. Perry, Curtis Volin, Gabriel Price

Transport of multispecies ion crystals through a junction in an RF Paul trap

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TKET

June 2022

Enrico Fontana, Ivan Rungger, Ross Duncan, Cristina Cirstoiu

Spectral analysis for noise diagnostics and filter-based digital error mitigation

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Machine Learning

June 2022

Samuel Duffield, Marcello Benedetti, Matthias Rosenkranz

Bayesian Learning of Parameterised Quantum Circuits

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InQuanto

May 2022

The InQuanto Team

Introduction to the InQuanto Computational Chemistry Platform For Quantum Computers

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Machine Learning

May 2022

Conor Mc Keever, Michael Lubasch

Classically optimized Hamiltonian simulation

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Hardware

May 2022

Charles H. Baldwin, Karl Mayer, Natalie C. Brown, Ciarán Ryan-Anderson, David Hayes

Re-examining the quantum volume test: Ideal distributions, compiler optimizations, confidence intervals, and scalable resource estimations

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Hardware

May 2022

Alex An Fangzhao, Anthony Ransford, Andrew Schaffer, Lucas R. Sletten, John Gaebler, James Hostetter, Grahame Vittorini

High fidelity state preparation and measurement of ion hyperfine qubits with I > 1/2

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Natural Language Processing

April 2022

Giovanni de Felice and Bob Coecke

Quantum Linear Optics via String Diagrams

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Qermit

April 2022

Cristina Cirstoiu, Silas Dilkes, Daniel Mills, Seyon Sivarajah, Ross Duncan

Volumetric Benchmarking of Error Mitigation with Qermit

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Hardware

April 2022

Michael Foss-Feig, Stephen Ragole, Andrew Potter, Joan Dreiling, Caroline Figgatt, John Gaebler, Alex Hall, Steven Moses, Juan Pino, Ben Spaun, Brian Neyenhuis, David Hayes

Entanglement from Tensor Networks on a Trapped-Ion Quantum Computer

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InQuanto

March 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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Artificial Intelligence

March 2022

Razin A. Shaikh, Sara Sabrina Zemljic, Sean Tull, Stephen Clark

The Conceptual VAE

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Machine Learning

January 2022

Luuk Coopmans, Anthony Kiely, Gabriele De Chiara, Steve Campbell

Optimal Control in Disordered Quantum Systems

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Natural Language Processing

January 2022

Quanlong Wang, Richie Yeung

Differentiating and Integrating ZX Diagrams

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Other

January 2022

Ivan Šupić, Joseph Bowles, Marc-Olivier Renou, Antonio Acín, Matty J. Hoban

Quantum networks self-test all entangled states

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Natural Language Processing

December 2021

Eduardo Reck Miranda, Richie Yeung, Anna Pearson, Konstantinos Meichanetzidis, Bob Coecke

A Quantum Natural Language Processing Approach To Musical Intelligence

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Hardware

December 2021

J. P. Gaebler, C. H. Baldwin, S. A. Moses, J. M. Dreiling, C. Figgatt, M. Foss-Feig, D. Hayes, J. M. Pino

Suppression of midcircuit measurement crosstalk errors with micromotion

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Hardware

December 2021

C. Ryan-Anderson, J. G. Bohnet, K. Lee, D. Gresh, A. Hankin, J. P. Gaebler, D. Francois, A. Chernoguzov, D. Lucchetti, N. C. Brown, T. M. Gatterman, S. K. Halit, K. Gilmore, J. A. Gerber, B. Neyenhuis, D. Hayes, R. P. Stutz

Realization of Real-Time Fault-Tolerant Quantum Error Correction

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Other

November 2021

Beata Zjawin, David Schmid, Matty J. Hoban, Ana Belen Sainz

Quantifying EPR: The Resource Theory Of Nonclassicality Of Common-Cause-Assemblages

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Machine Learning

November 2021

Laura Mančinska, David E. Roberson, Robert Šámal, Simone Severini, Antonios Varvitsiotis

Relaxations Of Graph Isomorphism

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Natural Language Processing

October 2021

Quanlong Wang

A non-anyonic qudit ZW-calculus

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InQuanto

October 2021

Josh J. M. Kirsopp, Cono Di Paola, David Zsolt Manrique, Michal Krompiec, Gabriel Greene-Diniz, Wolfgang Guba, Agnes Meyder, Detlef Wolf, Martin Strahm, David Muñoz Ramo

Quantum Computational Quantification of Protein-Ligand Interactions

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Natural Language Processing

October 2021

Quanlong Wang

Representing Matrices Using Algebraic ZX-calculus

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Natural Language Processing

October 2021

Dimitri Kartsaklis, Ian Fan, Richie Yeung, Anna Pearson, Robin Lorenz, Alexis Toumi, Giovanni de Felice, Konstantinos Meichanetzidis, Stephen Clark, Bob Coecke

lambeq: An Efficient High-Level Python Library for Quantum NLP

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Machine Learning

September 2021

Chiara Leadbeater, Louis Sharrock, Brian Coyle, Marcello Benedetti

F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits

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Machine Learning

September 2021

Niel de Beaudrap, Steven Herbert

Fast Stabiliser Simulation with Quadratic Form Expansions

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Machine Learning

September 2021

Steven Herbert

Every Classical Sampling Circuit Is A Quantum Sampling Circuit

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InQuanto

September 2021

Kentaro Yamamoto, David Zsolt Manrique, Irfan Khan, Hideaki Sawada, David Muñoz Ramo

Quantum Hardware Calculations Of Periodic Systems: Hydrogen Chain And Iron Crystals

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Artificial Intelligence

September 2021

Stephen Clark

Something Old, Something New: Grammar-based CCG Parsing with Transformer Models

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Machine Learning

September 2021

Steven Herbert, Roland Guichard, Darren Ng

Noise-Aware Quantum Amplitude Estimation

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Machine Learning

September 2021

Kirill Plekhanov, Matthias Rosenkranz, Mattia Fiorentini, Michael Lubasch

Variational Quantum Amplitude Estimation

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Machine Learning

September 2021

David Amaro, Matthias Rosenkranz, Nathan Fitzpatrick, Koji Hirano, Mattia Fiorentini

A case study of variational quantum algorithms for a job shop scheduling problem

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Hardware

September 2021

KarlMayer

A short note on the 0-fidelity

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Hardware

August 2021

Karl Mayer, Alex Hall, Thomas Gatterman, Si Khadir Halit, Kenny Lee, Justin Bohnet, Dan Gresh, Aaron Hankin, Kevin Gilmore, John Gaebler

Theory of mirror benchmarking and demonstration on a quantum computer

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TKET

July 2021

Alexander Cowtan, Shahn Majid

Quantum Double Aspects of Surface Code Models

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Hardware

July 2021

Michael Foss-Feig, David Hayes, Joan M. Dreiling, Caroline Figgatt, John P. Gaebler, Steven A. Moses, Juan M. Pino, Andrew C. Potter

Holographic quantum algorithms for simulating correlated spin systems

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Machine Learning

June 2021

David Amaro, Carlo Modica, Matthias Rosenkranz, Mattia Fiorentini, Marcello Benedetti, Michael Lubasch

Filtering Variational Quantum Algorithms for Combinatorial Optimization

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Natural Language Processing

June 2021

Bob Coecke, Vincent Wang

Grammar Equations

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Machine Learning

May 2021

Steven Herbert

Quantum Monte-Carlo Integration: The Full Advantage in Minimal Circuit Depth

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Natural Language Processing

May 2021

Richie Yeung, Dimitri Kartsaklis

A CCG-Based Version of the DisCoCat Framework

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Hardware

May 2021

Eli Chertkov, Justin Bohnet, David Francois, John Gaebler, Dan Gresh, Aaron Hankin, Kenny Lee, Ra'anan Tobey, David Hayes, Brian Neyenhuis, Russell Stutz, Andrew C. Potter, Michael Foss-Feig

Holographic dynamics simulations with a trapped ion quantum computer

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TKET

April 2021

Quanlong Wang

Qufinite ZX-calculus: a unified framework of qudit ZX-calculi

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TKET

April 2021

Matthew Girling, Cristina Cırstoiu, David Jennings

Estimation of correlations and non-separability in quantum channels via unitarity benchmarking

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Hardware

April 2021

J. M. Pino, J. M. Dreiling, C. Figgatt, J. P. Gaebler, S. A. Moses, M. S. Allman, C. H. Baldwin, M. Foss-Feig, D. Hayes, K. Mayer, C. Ryan-Anderson, B. Neyenhuis

Demonstration of the trapped-ion quantum CCD computer architecture

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TKET

March 2021

Su Yeon Chang, Steven Herbert, Sofia Vallecorsa, Elías F. Combarro, Ross Duncan

Dual-Parameterized Quantum Circuit GAN Model in High Energy Physics

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Machine Learning

March 2021

Alexis Toumi, Richie Yeung, Giovanni de Felice

Diagrammatic Differentiation for Quantum Machine Learning

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Machine Learning

March 2021

Marcello Benedetti, Brian Coyle, Mattia Fiorentini, Michael Lubasch, Matthias Rosenkranz

Variational Inference with a Quantum Computer

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Natural Language Processing

February 2021

Bob Coecke, Dominic Horsman, Aleks Kissinger, Quanlong Wang

ZX Calculus – how Dirac notation was converted into a 2-D tool to unlock quantum computing

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Natural Language Processing

February 2021

Robin Lorenz, Anna Pearson, Konstantinos Meichanetzidis, Dimitri Kartsaklis, Bob Coecke

QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer

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Machine Learning

January 2021

Mateusz Ostaszewski, Edward Grant, Marcello Benedetti

Structure optimization for parameterized quantum circuits

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Machine Learning

January 2021

Steven Herbert

The Problem with Grover-Rudolph State Preparation for Quantum Monte-Carlo

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Hardware

January 2021

C. H. Baldwin, B. J. Bjork, M. Foss-Feig, J. P. Gaebler, D. Hayes, M. G. Kokish, C. Langer, J. A. Sedlacek, D. Stack, G. Vittorini

High-fidelity light-shift gate for clock-state qubits

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Natural Language Processing

December 2020

Bob Coecke, Giovanni de Felice, Konstantinos Meichanetzidis, Alexis Toumi

Foundations For Near-Term Quantum Natural Language Processing

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Natural Language Processing

December 2020

Konstantinos Meichanetzidis, Alexis Toumi, Giovanni de Felice, Bob Coecke

Grammar-Aware Question-Answering On Quantum Computers

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InQuanto

November 2020

Enrico Fontana, Nathan Fitzpatrick, David Muñoz Ramo, Ross Duncan, Ivan Rungger

Evaluating The Noise Resilience Of Variational Quantum Algorithms

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Machine Learning

September 2020

Marcello Benedetti, Mattia Fiorentini, Michael Lubasch

Hardware-efficient variational quantum algorithms for time evolution

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Other

September 2020

Cameron Foreman, Sherilyn Wright, Alec Edgington, Mario Berta, Florian J. Curchod

Practical randomness and privacy amplification

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TKET

September 2020

Cristina Cirstoiu, Zoë Holmes, Joseph Iosue, Lukasz Cincio, Patrick J. Coles & Andrew Sornborger

Variational fast forwarding for quantum simulation beyond the coherence time

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InQuanto

August 2020

David Zsolt Manrique, Irfan T. Khan, Kentaro Yamamoto, Vijja Wichitwechkarn, David Munoz Ramo

Momentum-Space Unitary Couple Cluster And Translational Quantum Subspace Expansion For Periodic Systems On Quantum Computers

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TKET

July 2020

Matteo G. Pozzi, Steven J. Herbert, Akash Sengupta, Robert D. Mullins

Using Reinforcement Learning To Perform Qubit Routing In Quantum Compilers

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TKET

July 2020

Alexander Cowtan, Will Simmons, Ross Duncan

A Generic Compilation Strategy for the Unitary Coupled Cluster Ansatz

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TKET

June 2020

Daniel Mills, Seyon Sivarajah, Travis L. Scholten, Ross Duncan

Application-Motivated, Holistic Benchmarking of a Full Quantum Computing Stack

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Natural Language Processing

May 2020

K. Meichanetzidis, G. De Felice, A. Toumi, B. Coecke

Quantum Natural Language Processing on Near-Term Quantum Computers

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Natural Language Processing

May 2020

Giovanni de Felice, Alexis Toumi, Bob Coecke

DisCoPy: Monoidal Categories In Python

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TKET

April 2020

Arianne Meijer-van de Griend, Ross Duncan

Architecture-Aware Synthesis Of Phase Polynomials For NISQ Devices

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TKET

April 2020

Niel de Beaudrap, Xiaoning Bian, Quanlong Wang

Fast and effective techniques for T-count reduction via spider nest identities

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Hardware

April 2020

D. Hayes, D. Stack, B. Bjork, A. C. Potter, C. H. Baldwin, R. P. Stutz

Eliminating Leakage Errors in Hyperfine Qubits

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TKET

March 2020

Seyon Sivarajah, Silas Dilkes, Alexander Cowtan, Will Simmons, Alec Edgington, Ross Duncan

t|ket>: A Retargetable Compiler for NISQ Devices

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Hardware

March 2020

C. H. Baldwin, B. J. Bjork, J. P. Gaebler, D. Hayes, D. Stack

Subspace benchmarking high-fidelity entangling operations with trapped ions

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Natural Language Processing

January 2020

Bob Coecke, Konstantinos Meichanetzidis

Meaning updating of density matrices

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Machine Learning

December 2019

Daiwei Zhu, NM Linke, Marcello Benedetti, KA Landsman, NH Nguyen, CH Alderete, Alejandro Perdomo-Ortiz, Nathan Korda, A Garfoot, Charles Brecque, Laird Egan, Oscar Perdomo, Christopher Monroe

Training of quantum circuits on a hybrid quantum computer

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InQuanto

October 2019

Gabriel Greene-Diniz, David Muñoz Ramo

Generalized unitary coupled cluster excitations for multireference molecular states optimized by the Variational Quantum Eigensolver

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InQuanto

October 2019

I. Rungger, N. Fitzpatrick, H. Chen, C. H. Alderete, H. Apel, A. Cowtan, A. Patterson, D. Munoz Ramo, Y. Zhu, N. H. Nguyen, E. Grant, S. Chretien, L. Wossnig, N. M. Linke, R. Duncan

Dynamical mean field theory algorithm and experiment on quantum computers

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TKET

June 2019

Alexander Cowtan, Silas Dilkes, Ross Duncan, Will Simmons, Seyon Sivarajah

Phase gadget synthesis for shallow circuits

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Natural Language Processing

April 2019

Bob Coecke

The mathematics of text structure

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Other

March 2019

Edward Grant, Mateusz Ostaszewski, Leonard Wossnig, Marcello Benedetti

An initialization strategy for addressing barren plateaus in parametrized quantum circuits

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TKET

February 2019

Alexander Cowtan, Silas Dilkes, Ross Duncan, Alexandre Krajenbrink, Will Simmons, Seyon Sivarajah

On the qubit routing problem

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TKET

January 2019

Tony Jin, Alexandre Krajenbrink, Denis Bernard

From stochastic spin chains to quantum Kardar-Parisi-Zhang dynamics

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Machine Learning

June 2018

Alejandro Perdomo-Ortiz, Marcello Benedetti, John Realpe-Gómez, Rupak Biswas

Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers

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Machine Learning

June 2018

Marcello Benedetti, Edward Grant, Leonard Wossnig, Simone Severini

Adversarial quantum circuit learning for pure state approximation

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Machine Learning

June 2018

Marcello Benedetti, Erika Lloyd, Stefan Sack, Mattia Fiorentini

Parameterized quantum circuits as machine learning models

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TKET

May 2018

Steven Herbert

On the depth overhead incurred when running quantum algorithms on near-term quantum computers with limited qubit connectivity

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Machine Learning

April 2018

Edward Grant, Marcello Benedetti, Shuxiang Cao, Andrew Hallam, Joshua Lockhart, Vid Stojevic, Andrew G Green, Simone Severini

Hierarchical quantum classifiers

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Machine Learning

January 2018

Marcello Benedetti, Delfina Garcia-Pintos, Oscar Perdomo, Vicente Leyton-Ortega, Yunseong Nam, Alejandro Perdomo-Ortiz

A generative modeling approach for benchmarking and training shallow quantum circuits

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TKET

September 2017

Fernando Brandao and Krysta Svore

Quantum Speed-Ups For Semidefinite Programming

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Machine Learning

August 2017

Alejandro Perdomo-Ortiz, Alexander Feldman, Asier Ozaeta, Sergei V. Isakov, Zheng Zhu, Bryan O’Gorman, Helmut G. Katzgraber, Alexander Diedrich, Hartmut Neven, Johan de Kleer, Brad Lackey, Rupak Biswas

On The Readiness Of Quantum Optimization Machines For Industrial Applications

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Machine Learning

August 2017

Marcello Benedetti, JohnRealpe-Gomez, AlejandroPerdomo-Ortiz

Quantum-Assisted Helmholtz Machines: A Quantum-Classical Deep Learning Framework For Industrial Datasets In Near-Term Devices

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TKET

July 2017

Laura Mancinska, David Roberson, Robert Samal, Simone Severini, Antonios Varvitsiotis

Relaxations Of Graph Isomorphism

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Other

June 2017

Kang Feng Ng, Quanlong Wang

A Universal Completion of the ZX-Calculus

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Machine Learning

September 2016

Marcello Benedetti, John Realpe-Gómez, Rupak Biswas, Alejandro Perdomo-Ortiz

Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

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Other

September 2016

Andrew Simmons

On The Computational Complexity Of Detecting Possibilistic Locality

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Machine Learning

August 2016

Mattia Fiorentini, Nicola Bonini

Thermoelectric coefficients of n -doped silicon from first principles via the solution of the Boltzmann transport equation

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InQuanto

August 2016

Gabriel Mazzucchi, Santiago F. Caballero-Benitez, Igor B. Mekhov

Quantum Measurement-Induced Antiferromagnetic Order And Density Modulations In Ultracold Fermi Gases In Optical Lattices

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TKET

July 2015

Stephen Brierley

Efficient implementation of Quantum circuits with limited qubit interactions

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Other

March 2013

Mark G. Jackson, Gary Shiu

A Consistency Relation for Single-Field Inflation with Power Spectrum Oscillations

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“From the quantum mechanical perspective, to measure the position of an electron is not to find out where it is but to cause it to be somewhere.” Luisa Gilder