People / current team

Stuart Hadfield

Senior Scientist. Quantum algorithms, constrained optimization, and complexity.

Stuart Hadfield studies quantum algorithms with an emphasis on constrained optimization, algorithm design, and complexity.

Scholarly output

Publications

Open paper

A Parameter Setting Heuristic for the Quantum Alternating Operator Ansatz

James Sud, Stuart Hadfield, Eleanor Rieffel, Norm Tubman, Tad Hogg Physical Review Research, 6(2), 023171

DOI arXiv Academy

Open paper

Analytical Framework for Quantum Alternating Operator Ansätze

Stuart Hadfield, Tad Hogg, Eleanor G Rieffel Quantum Science and Technology

DOI arXiv

2024

Open paper

Assessing and advancing the potential of quantum computing: A NASA case study

Eleanor G. Rieffel, Ata Akbari Asanjan, M. Sohaib Alam, Namit Anand, David E. Bernal Neira, Sophie Block, Lucas T. Brady, Steve Cotton, Zoe Gonzalez Izquierdo, Shon Grabbe, Erik Gustafson, Stuart Hadfield, P. Aaron Lott, Filip B. Maciejewski, Salvatore Mandrà, Jeffrey Marshall, Gianni Mossi, Humberto Munoz Bauza, Jason Saied, Nishchay Suri, Davide Venturelli, Zhihui Wang, Rupak Biswas Future Generation Computer Systems, 160, 598-618

DOI Academy

2021

Open paper

Bounds on approximating Max $k$XOR with quantum and classical local algorithms

Kunal Marwaha, Stuart Hadfield Quantum 6, 757 (2022)

DOI arXiv Academy

Open paper

Characterizing local noise in QAOA circuits

Jeffrey Marshall, Filip Wudarski, Stuart Hadfield, Tad Hogg SciNotes

DOI arXiv

Open paper

Classical symmetries and the Quantum Approximate Optimization Algorithm

Ruslan Shaydulin, Stuart Hadfield, Tad Hogg, Ilya Safro Quantum Information Processing

DOI arXiv

Figure-derived thumbnail for Design and execution of quantum circuits using tens of superconducting qubits and thousands of gates for dense Ising optimization problems — 2023

Open paper

Design and execution of quantum circuits using tens of superconducting qubits and thousands of gates for dense Ising optimization problems

Filip B. Maciejewski, Stuart Hadfield, Benjamin Hall, Mark Hodson, Maxime Dupont, Bram Evert, James Sud, M. Sohaib Alam, Zhihui Wang, Stephen Jeffrey, Bhuvanesh Sundar, P. Aaron Lott, Shon Grabbe, Eleanor G. Rieffel, Matthew J. Reagor, Davide Venturelli arXiv preprint arXiv:2308.12423

arXiv Academy Hardware: Rigetti

Open paper

Diagrammatic Analysis for Parameterized Quantum Circuits

Tobias Stollenwerk, Stuart Hadfield EPTCS 394, 2023, pp. 262-301

DOI arXiv

Figure-derived thumbnail for Encoding trade-offs and design toolkits in quantum algorithms for discrete optimization: coloring, routing, scheduling, and other problems — 2022

Open paper

Encoding trade-offs and design toolkits in quantum algorithms for discrete optimization: coloring, routing, scheduling, and other problems

Nicolas PD Sawaya, Albert T Schmitz, Stuart Hadfield Quantum, 7, 1111

DOI arXiv

Open paper

Ferromagnetically shifting the power of pausing

Zoe Gonzalez Izquierdo, Shon Grabbe, Stuart Hadfield, Jeffrey Marshall, Zhihui Wang, Eleanor Rieffel Physical Review Applied, 15(4), 044013

DOI arXiv Academy Hardware: D-Wave

Open paper

FOCQS: Feedback Optimally Controlled Quantum States

Lucas T Brady, Stuart Hadfield arXiv preprint arXiv:2409.15426

arXiv

Open paper

From ansätze to Z-gates: A NASA view of quantum computing

Eleanor G. Rieffel, Stuart Hadfield, Tad Hogg, Salvatore Mandrà, Jeffrey Marshall, Gianni Mossi, Bryan O'Gorman, Eugeniu Plamadeala, Norm M. Tubman, Davide Venturelli, Walter Vinci, Zhihui Wang, Max Wilson, Filip Wudarski, Rupak Biswas Future Trends of HPC in a Disruptive Scenario

DOI arXiv Hardware: D-Wave

Open paper

From the quantum approximate optimization algorithm to a quantum alternating operator ansatz

Stuart Hadfield, Zhihui Wang, Bryan O'Gorman, Eleanor G Rieffel, Davide Venturelli, Rupak Biswas Algorithms

DOI arXiv Academy

Open paper

Imposing Constraints on Driver Hamiltonians and Mixing Operators: From Theory to Practical Implementation

Hannes Leipold, Federico M Spedalieri, Stuart Hadfield, Eleanor Rieffel arXiv preprint arXiv:2407.01975

arXiv Academy

Open paper

Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping

Filip B Maciejewski, Jacob Biamonte, Stuart Hadfield, Davide Venturelli Quantum, 9, 1906

DOI arXiv Hardware: Rigetti

Open paper

Iterative Quantum Algorithms for Maximum Independent Set: A Tale of Low-Depth Quantum Algorithms

Lucas T Brady, Stuart Hadfield arXiv preprint arXiv:2309.13110

arXiv

Open paper

Measurement-Based Quantum Approximate Optimization

Tobias Stollenwerk, Stuart Hadfield 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 1115-1127

DOI arXiv

Figure-derived thumbnail for Noise-Directed Adaptive Remapping for Integer Optimization: from qubits to (encoded) qudits — 2026

Open paper

Selected highlight

Noise-Directed Adaptive Remapping for Integer Optimization: from qubits to (encoded) qudits

Stuart Hadfield, Filip B. Maciejewski, Davide Venturelli arXiv preprint arXiv:2606.28234

arXiv

Open paper

On the representation of Boolean and real functions as Hamiltonians for quantum computing

Stuart Hadfield ACM Transactions on Quantum Computing

DOI arXiv

Open paper

Optimized quantum simulation algorithms for scalar quantum field theories

Andrew Hardy, Priyanka Mukhopadhyay, M. Sohaib Alam, Robert Konik, Layla Hormozi, Eleanor Rieffel, Stuart Hadfield, João Barata, Raju Venugopalan, Dmitri E. Kharzeev, Nathan Wiebe arXiv preprint arXiv:2407.13819

arXiv

Open paper

Optimizing quantum heuristics with meta-learning

Max Wilson, Rachel Stromswold, Filip Wudarski, Stuart Hadfield, Norm M Tubman, Eleanor G Rieffel Quantum Machine Intelligence

DOI arXiv Academy

Open paper

Primitive Quantum Gates for Dihedral Gauge Theories

M Sohaib Alam, Stuart Hadfield, Henry Lamm, Andy CY Li Physical Review D

DOI arXiv Hardware: Rigetti

Open paper

Quantum-accelerated constraint programming

Kyle EC Booth, Bryan O'Gorman, Jeffrey Marshall, Stuart Hadfield, Eleanor Rieffel Quantum

DOI arXiv

Open paper

Quantum Alternating Operator Ansatz (QAOA) beyond low depth with gradually changing unitaries

Vladimir Kremenetski, Anuj Apte, Tad Hogg, Stuart Hadfield, Norm M Tubman arXiv preprint arXiv:2305.04455

arXiv Academy

Open paper

Quantum Alternating Operator Ansatz (QAOA) Phase Diagrams and Applications for Quantum Chemistry

Vladimir Kremenetski, Tad Hogg, Stuart Hadfield, Stephen J Cotton, Norm M Tubman arXiv preprint arXiv:2108.13056

arXiv Academy

Figure-derived thumbnail for Quantum Approximate Optimization via Noise-Directed Adaptive Warm-Starting — 2026

Open paper

Selected highlight

Quantum Approximate Optimization via Noise-Directed Adaptive Warm-Starting

Filip B. Maciejewski, Stuart Hadfield, Oscar Wallis, George Pennington, Sebastian Brandhofer, Stefan Woerner, Daniel J. Egger, Davide Venturelli arXiv preprint arXiv:2607.09368

arXiv Code repository Hardware: IBM

Open paper

Quantum Enhanced Greedy Solver for Optimization Problems

Maxime Dupont, Bram Evert, Mark J. Hodson, Bhuvanesh Sundar, Stephen Jeffrey, Yuki Yamaguchi, Dennis Feng, Filip B. Maciejewski, Stuart Hadfield, M. Sohaib Alam, Zhihui Wang, Shon Grabbe, P. Aaron Lott, Eleanor G. Rieffel, Davide Venturelli, Matthew J. Reagor arXiv preprint arXiv:2303.05509

arXiv Hardware: Rigetti

Open paper

Quantum Optimization: Potential, Challenges, and the Path Forward

Amira Abbas, Andris Ambainis, Brandon Augustino, Andreas Baertschi, Harry Buhrman, Carleton Coffrin, Giorgio Cortiana, Vedran Dunjko, Daniel Egger, Bruce Elmegreen, Nicola Franco, Filippo Fratini, Bryce Fuller, Julien Gacon, Constantin Gonciulea, Sander Gribling, Swati Gupta, Stuart Hadfield, Raoul Heese, Gerhard Kircher, Thomas Kleinert, Thorsten Koch, Georgios Korpas, Steve Lenk, Jakub Marecek, Vanio Markov, Guglielmo Mazzola, Stefano Mensa, Naeimeh Mohseni, Giacomo Nannicini, Corey O'Meara, Elena Peña Tapia, Sebastian Pokutta, Manuel Proissl, Patrick Rebentrost, Emre Sahin, Benjamin Symons, Sabine Tornow, Víctor Valls, Stefan Woerner, Mira Wolf-Bauwens, Jon Yard, Sheir Yarkoni, Dirk Zechiel, Sergiy Zhuk, Christa Zoufal arXiv preprint arXiv:2312.02279

DOI arXiv

Figure-derived thumbnail for Self-consistent Quantum Iteratively Sparsified Hamiltonian method (SQuISH): A new algorithm for efficient Hamiltonian simulation and compression — 2022

Open paper

Self-consistent Quantum Iteratively Sparsified Hamiltonian method (SQuISH): A new algorithm for efficient Hamiltonian simulation and compression

Diana B Chamaki, Stuart Hadfield, Katherine Klymko, Bryan O'Gorman, Norm M Tubman arXiv preprint arXiv:2211.16522

arXiv Academy

Open paper

Two-Unitary Decomposition Algorithm and Open Quantum System Simulation

Nishchay Suri, Joseph Barreto, Stuart Hadfield, Nathan Wiebe, Filip Wudarski, Jeffrey Marshall Quantum

DOI arXiv Academy