Research / programs / publications

Research on Theory, Design and Applications of Quantum Systems

Explore the RIACS Quantum capability map, funding sources, active project descriptions, project-related publications, and the complete publication archive in one place.

Quantum hardware record

Hardware platforms represented in applied quantum computing R&D

Our team benchmarked, or reported applied R&D results tied to multiple commercial hardware platform. We stand ready to work with anyone that wants to engage for challenging stress-tests, middleware advances, quantum information experiments, and use cases.

6 hardware platforms / 45 platform-linked publications

Capability map

Research areas

View active projects
01

Research area

Optimization & Machine Learning

Quantum and quantum-inspired algorithms for constrained optimization, sampling, learning, and autonomous reasoning problems.

Open area
02

Research area

Quantum Simulation

Digital and analog approaches to simulate static and dynamical aspects of materials, chemistry, field theories.

Open area
05

Research area

Quantum Sensing

Theory, protocols, and system concepts for quantum-enhanced sensing and measurement, and its intersection with computing and quantum information transduction.

Open area

Active programs

Projects, support, and related output

Jump to full publication archive

active / 2020–2026

Expeditions: Coherent Ising Machines for Optimization, Machine Learning and Neuromorphic Computing

An NSF Expeditions program on coherent Ising machines and their role in optimization, machine learning, and neuromorphic computing research.

Award
NSF 1918549
Funding / support
National Science Foundation

Project publications

Latest 3 of 8
Figure-derived thumbnail for A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications
2026
Open paper

A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications

Ruomin Zhu, Abhishek Kumar Singh, Jérémie Laydevant, Fan O. Wu, Ari Kapelyan, Davide Venturelli, Kyle Jamieson, Peter L. McMahon arXiv preprint arXiv:2604.17109

Figure-derived thumbnail for Setting angles in quantum approximate optimization at utility-scale
2026
Open paper

Setting angles in quantum approximate optimization at utility-scale

Maosheng Guo, Joel Jurado Diaz, Anurag Ramesh, Conrad J. Haupt, Alberto Baiardi, Dimitrios Athanasakos, M. Emre Sahin, Oscar Wallis, George Pennington, Christian Arenz, Sebastian Brandhofer, Georgios Korpas, Ieva Čepaitė, J. A. Montañez-Barrera, Jakub Marecek, Davide Venturelli, Stephan Eidenbenz, David E. Bernal Neira, Daniel J. Egger arXiv preprint arXiv:2606.05311

Figure-derived thumbnail for Pushing the Boundary of Quantum Advantage in Hard Combinatorial Optimization with Probabilistic Computers
2025
Open paper

Pushing the Boundary of Quantum Advantage in Hard Combinatorial Optimization with Probabilistic Computers

Shuvro Chowdhury, Navid Anjum Aadit, Andrea Grimaldi, Eleonora Raimondo, Atharva Raut, P. Aaron Lott, Johan H. Mentink, Marek M. Rams, Federico Ricci-Tersenghi, Massimo Chiappini, Luke S. Theogarajan, Tathagata Srimani, Giovanni Finocchio, Masoud Mohseni, Kerem Y. Camsari Nature Communications 16 (1), 9193

Next page: view 5 older publications

active / 2025–2028

Functional Exploitation of Noise in Utility-Scale Quantum Optimization

An AFRL-funded project exploring how noise and nonideal dynamics can be characterized, modeled, and potentially exploited for utility-scale quantum optimization.

Award
AFRL FA875025CB040
Funding / support
Air Force Research Laboratory

Project publications

Latest 3 of 3
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

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

Figure-derived thumbnail for Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping
2024
Open paper

Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping

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

active / 2025–2027

STTR Fast-Track: Combinatorial Reasoning

A funded effort on combinatorial reasoning methods for optimization-relevant decision pipelines and emerging computing workflows.

Award
NSF 2528318
Funding / support
National Science Foundation

Project publications

Latest 1 of 1
Staff involved

David BellDavide Venturelli

Figure-derived thumbnail for Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization
2024
Open paper

Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization

Mert Esencan, Tarun Advaith Kumar, Ata Akbari Asanjan, P Aaron Lott, Masoud Mohseni, Can Unlu, Davide Venturelli, Alan Ho arXiv preprint arXiv:2407.00071

active / 2025–2030

Superconducting Quantum Materials and Systems Center (SQMS 2.0)

A DOE SQMS collaboration through Fermilab spanning superconducting quantum systems, materials, algorithms, and co-design.

Award
DOE SQMS (via Fermilab)
Funding / support
DOE SQMS / Fermi National Laboratory
Reference
SQMS Center

Project publications

Latest 3 of 25
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

Figure-derived thumbnail for Primitive Quantum Gates for an SU(3) Discrete Subgroup: Sigma(72x3)
2025
Open paper

Primitive Quantum Gates for an SU(3) Discrete Subgroup: Sigma(72x3)

SO Perez, EM Murairi, EJ Gustafson, H Lamm arXiv preprint arXiv:2511.17437

Next page: view 22 older publications

active / 2025–2027

Thermodynamical Effects for Quantum Approximate Optimization

A DOE-supported research project studying thermodynamic mechanisms and performance-relevant effects in Quantum Approximate Optimization.

Award
DOE DE-SC0026126
Funding / support
U.S. Department of Energy

Project publications

Latest 2 of 2
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

Figure-derived thumbnail for Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping
2024
Open paper

Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping

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

active / 2012–present

NASA QuAIL Contracted Work

NASA QuAIL and USRA contracted research supporting quantum algorithms, benchmarking, simulation, optimization, and mission-oriented advanced computing.

Award
NASA / QuAIL contracted work
Funding / support
NASA Quantum Artificial Intelligence Laboratory / NASA Ames Research Center / USRA
Reference
NASA QuAIL

Project publications

Latest 3 of 125
Figure-derived thumbnail for Iterative warm-start optimization with quantum imaginary time evolution
2026
Open paper

Iterative warm-start optimization with quantum imaginary time evolution

PC Lotshaw, T Morris, S Hadfield, R Bennink arXiv preprint arXiv:2604.26047

Figure-derived thumbnail for Partitioned Iterative Quantum Scheduling of Satellites for Urgent Disaster Response: Case study of Wildfire
2026
Open paper

Partitioned Iterative Quantum Scheduling of Satellites for Urgent Disaster Response: Case study of Wildfire

Lucas T. Braydwood, Taejin Park, Hirofumi Hashimoto, Zoe Gonzalez Izquierdo, Andrew Michaelis, Eleanor Rieffel, Shon Grabbe arXiv preprint arXiv:2606.12310

Next page: view 122 older publications

active / 2023–2028

NC A&T QISE Research Workforce Programs

An NSF-supported workforce and research program advancing QISE participation, training, and project-based research engagement.

Award
NSF 2329097
Funding / support
National Science Foundation

Project publications

Curation in progress

No linked publications yet.

Publication-to-project relationships are curated through the owner review dashboard.

active / 2025-2026

Rydberg Quantum Reservoir Computing

Collaborate with Pasqal on elucidating and exploiting the power of neutral atom analog processors as a quantum reservoir computer

Funding / support
RIACS Quantum

Project publications

Latest 1 of 1
Staff involved

Davide VenturelliFilip Wudarski

Figure-derived thumbnail for From quantum feature maps to quantum reservoir computing: perspectives and applications
2025
Open paper

From quantum feature maps to quantum reservoir computing: perspectives and applications

Casper Gyurik, Filip Wudarski, Evan Philip, Antonio Sannia, Hossein Sadeghi, Oleksandr Kyriienko, Davide Venturelli, Antonio A. Gentile arXiv preprint arXiv:2510.01797

Scholarly output / complete record

All publications over the years

157 approved records
Figure-derived thumbnail for A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications
2026
Open paper

A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications

Ruomin Zhu, Abhishek Kumar Singh, Jérémie Laydevant, Fan O. Wu, Ari Kapelyan, Davide Venturelli, Kyle Jamieson, Peter L. McMahon arXiv preprint arXiv:2604.17109

Figure-derived thumbnail for Iterative warm-start optimization with quantum imaginary time evolution
2026
Open paper

Iterative warm-start optimization with quantum imaginary time evolution

PC Lotshaw, T Morris, S Hadfield, R Bennink arXiv preprint arXiv:2604.26047

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

Figure-derived thumbnail for Partitioned Iterative Quantum Scheduling of Satellites for Urgent Disaster Response: Case study of Wildfire
2026
Open paper

Partitioned Iterative Quantum Scheduling of Satellites for Urgent Disaster Response: Case study of Wildfire

Lucas T. Braydwood, Taejin Park, Hirofumi Hashimoto, Zoe Gonzalez Izquierdo, Andrew Michaelis, Eleanor Rieffel, Shon Grabbe arXiv preprint arXiv:2606.12310

Figure-derived thumbnail for Physics-Inspired Probabilistic Computing for Extremely Large-Scale MIMO Detection in Future 6G Wireless Systems
2026
Open paper

Physics-Inspired Probabilistic Computing for Extremely Large-Scale MIMO Detection in Future 6G Wireless Systems

Andrea Grimaldi, Christian Duffee, Eleonora Raimondo, Edoardo Piccolo, Deborah Volpe, Filip B. Maciejewski, Mario Carpentieri, Massimo Chiappini, Pedram Khalili Amiri, Davide Venturelli, Giovanni Finocchio arXiv preprint arXiv:2605.07884

Figure-derived thumbnail for Preparing Fermions via Classical Sampling and Linear Combinations of Unitaries
2026
Open paper

Preparing Fermions via Classical Sampling and Linear Combinations of Unitaries

EJ Gustafson, H Lamm arXiv preprint arXiv:2603.22422

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

Figure-derived thumbnail for Sequential Reservoir Computing for Efficient High-Dimensional Spatiotemporal Forecasting
2026
Open paper

Sequential Reservoir Computing for Efficient High-Dimensional Spatiotemporal Forecasting

Ata Akbari Asanjan, Filip Wudarski, Daniel O'Connor, Shaun Geaney, Elena Strbac, P. Aaron Lott, Davide Venturelli arXiv preprint arXiv:2601.00172

Figure-derived thumbnail for Setting angles in quantum approximate optimization at utility-scale
2026
Open paper

Setting angles in quantum approximate optimization at utility-scale

Maosheng Guo, Joel Jurado Diaz, Anurag Ramesh, Conrad J. Haupt, Alberto Baiardi, Dimitrios Athanasakos, M. Emre Sahin, Oscar Wallis, George Pennington, Christian Arenz, Sebastian Brandhofer, Georgios Korpas, Ieva Čepaitė, J. A. Montañez-Barrera, Jakub Marecek, Davide Venturelli, Stephan Eidenbenz, David E. Bernal Neira, Daniel J. Egger arXiv preprint arXiv:2606.05311

Figure-derived thumbnail for From quantum feature maps to quantum reservoir computing: perspectives and applications
2025
Open paper

From quantum feature maps to quantum reservoir computing: perspectives and applications

Casper Gyurik, Filip Wudarski, Evan Philip, Antonio Sannia, Hossein Sadeghi, Oleksandr Kyriienko, Davide Venturelli, Antonio A. Gentile arXiv preprint arXiv:2510.01797

Figure-derived thumbnail for Kernpiler: Compiler optimization for quantum hamiltonian simulation with partial trotterization
2025
Open paper

Kernpiler: Compiler optimization for quantum hamiltonian simulation with partial trotterization

Ethan Decker, Lucas Goetz, Evan McKinney, Erik Gustafson, Junyu Zhou, Yuhao Liu, Alex K. Jones, Ang Li, Alexander Schuckert, Samuel Stein, Eleanor Crane, Gushu Li arXiv preprint arXiv:2504.07214

Figure-derived thumbnail for Measurement-driven Quantum Approximate Optimization
2025
Open paper

Measurement-driven Quantum Approximate Optimization

T Stollenwerk, S Hadfield arXiv preprint arXiv:2512.21046

Figure-derived thumbnail for Primitive Quantum Gates for an SU(3) Discrete Subgroup: Sigma(72x3)
2025
Open paper

Primitive Quantum Gates for an SU(3) Discrete Subgroup: Sigma(72x3)

SO Perez, EM Murairi, EJ Gustafson, H Lamm arXiv preprint arXiv:2511.17437

Figure-derived thumbnail for Pushing the Boundary of Quantum Advantage in Hard Combinatorial Optimization with Probabilistic Computers
2025
Open paper

Pushing the Boundary of Quantum Advantage in Hard Combinatorial Optimization with Probabilistic Computers

Shuvro Chowdhury, Navid Anjum Aadit, Andrea Grimaldi, Eleonora Raimondo, Atharva Raut, P. Aaron Lott, Johan H. Mentink, Marek M. Rams, Federico Ricci-Tersenghi, Massimo Chiappini, Luke S. Theogarajan, Tathagata Srimani, Giovanni Finocchio, Masoud Mohseni, Kerem Y. Camsari Nature Communications 16 (1), 9193

Figure-derived thumbnail for Quantum DPLL and Generalized Constraints in Iterative Quantum Algorithms
2025
Open paper

Quantum DPLL and Generalized Constraints in Iterative Quantum Algorithms

LT Brady, S Hadfield arXiv preprint arXiv:2509.02689

Figure-derived thumbnail for Quantum Sensing using Geometrical Phase in Qubit-Oscillator Systems
2025
Open paper

Quantum Sensing using Geometrical Phase in Qubit-Oscillator Systems

N Suri, Z Wang, T Roy, D Venturelli, WA de Jong arXiv preprint arXiv:2511.21983

Figure-derived thumbnail for The USRA Feynman Quantum Academy: If You Give a Student a Quantum Internship
2025
Open paper

The USRA Feynman Quantum Academy: If You Give a Student a Quantum Internship

ZG Izquierdo, S Block, B Mujeci, PA Lott, D Venturelli, D Bell arXiv preprint arXiv:2505.04641

2024
Open paper

A circuit-generated quantum subspace algorithm for the variational quantum eigensolver

Mark R. Hirsbrunner, J. Wayne Mullinax, Yizhi Shen, David B. Williams-Young, Katherine Klymko, Roel Van Beeumen, Norm M. Tubman J. Chem. Phys. 161, 164103 (2024)

Figure-derived thumbnail for A Multilevel Approach For Solving Large-Scale QUBO Problems With Noisy Hybrid Quantum Approximate Optimization
2024
Open paper

A Multilevel Approach For Solving Large-Scale QUBO Problems With Noisy Hybrid Quantum Approximate Optimization

Filip B Maciejewski, Bao Gia Bach, Maxime Dupont, P Aaron Lott, Bhuvanesh Sundar, David E Bernal Neira, Ilya Safro, Davide Venturelli 2024 IEEE High Performance Extreme Computing Conference (HPEC), 1-10

Figure-derived thumbnail for Accelerating Continuous Variable Coherent Ising Machines via Momentum
2024
Open paper

Accelerating Continuous Variable Coherent Ising Machines via Momentum

Robin Brown, Davide Venturelli, Marco Pavone, David E Bernal Neira Lecture Notes in Computer Science, 109-126

Figure-derived thumbnail for Advancing Quantum Networking: Some Tools and Protocols for Ideal and Noisy Photonic Systems
2024
Open paper

Advancing Quantum Networking: Some Tools and Protocols for Ideal and Noisy Photonic Systems

Jason Saied, Jeffrey Marshall, Namit Anand, Shon Grabbe, Eleanor G Rieffel Quantum Computing, Communication, and Simulation IV, 121

Figure-derived thumbnail for Applications and resource estimates for open system simulation on a quantum computer
2024
Open paper

Applications and resource estimates for open system simulation on a quantum computer

Evgeny Mozgunov arXiv preprint arXiv:2406.06281

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

2024
Open paper

Bayesian Optimization Priors for Efficient Variational Quantum Algorithms

Farshud Sorourifar, Diana Chamaki, Norm M. Tubman, Joel A. Paulson, David E. Bernal Neira arXiv preprint arXiv:2406.14627

Figure-derived thumbnail for Benchmarking the algorithmic reach of a high-Q cavity qudit
2024
Open paper

Benchmarking the algorithmic reach of a high-Q cavity qudit

Nicholas Bornman, Tanay Roy, Joshua A Job, Namit Anand, Gabriel N Perdue, Silvia Zorzetti, M Sohaib Alam arXiv preprint arXiv:2408.13317

Figure-derived thumbnail for Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications
2024
Open paper

Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications

David E Bernal Neira, Robin Brown, Pratik Sathe, Filip Wudarski, Marco Pavone, Eleanor G Rieffel, Davide Venturelli Quantum Machine Intelligence, 7(2), 86

Figure-derived thumbnail for Classical and Quantum Distributed Algorithms for the Survivable Network Design Problem
2024
Open paper

Classical and Quantum Distributed Algorithms for the Survivable Network Design Problem

Phillip Kerger, David E Bernal Neira, Zoe Gonzalez Izquierdo, Eleanor G Rieffel arXiv preprint arXiv:2404.10748

Figure-derived thumbnail for Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization
2024
Open paper

Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization

Mert Esencan, Tarun Advaith Kumar, Ata Akbari Asanjan, P Aaron Lott, Masoud Mohseni, Can Unlu, Davide Venturelli, Alan Ho arXiv preprint arXiv:2407.00071

Figure-derived thumbnail for Dual-Unitary Classical Shadow Tomography
2024
Open paper

Dual-Unitary Classical Shadow Tomography

Ahmed A Akhtar, Namit Anand, Jeffrey Marshall, Yi-Zhuang You arXiv preprint arXiv:2404.01068

Figure-derived thumbnail for Dynamical Logical Qubits in the Bacon-Shor Code
2024
Open paper

Dynamical Logical Qubits in the Bacon-Shor Code

M Sohaib Alam, Eleanor Rieffel Physical Review A, 112(2), 022436

2024
Open paper

Efficient Chromatic-Number-Based Multi-Qubit Decoherence and Crosstalk Suppression

Amy F. Brown, Daniel A. Lidar Phys. Rev. X Quantum 6, 020354 (2025)

Figure-derived thumbnail for FOCQS: Feedback Optimally Controlled Quantum States
2024
Open paper

FOCQS: Feedback Optimally Controlled Quantum States

Lucas T Brady, Stuart Hadfield arXiv preprint arXiv:2409.15426

Figure-derived thumbnail for General protocols for the efficient distillation of indistinguishable photons
2024
Open paper

General protocols for the efficient distillation of indistinguishable photons

Jason Saied, Jeffrey Marshall, Namit Anand, Eleanor G Rieffel Phys. Rev. Applied 23, 034079 (2025)

Figure-derived thumbnail for How to Build a Quantum Supercomputer: Scaling Challenges and Opportunities
2024
Open paper

How to Build a Quantum Supercomputer: Scaling Challenges and Opportunities

Masoud Mohseni, Artur Scherer, K. Grace Johnson, Oded Wertheim, Matthew Otten, Namit Anand, Navid Anjum Aadit, Yuri Alexeev, Gilad Ben-Shach, Kirk M. Bresniker, Kerem Y. Camsari, Barbara Chapman, Soumitra Chatterjee, Shuvro Chowdhury, Gebremedhin A. Dagnew, Tom Dvir, Aniello Esposito, Farah Fahim, Michael Ferguson, Marco Fiorentino, Archit Gajjar, Katerina Gratsea, Gaurav Gyawali, Christian Heiter, Ali H. Z. Kavaki, Abdullah Khalid, Xiangzhou Kong, Bohdan Kulchytskyy, Elica Kyoseva, Ruoyu Li, P. Aaron Lott, Igor L. Markov, Robert F. McDermott, Lucas Morais, Giacomo Pedretti, Pooja Rao, Eleanor Rieffel, Allyson Silva, John Sorebo, Panagiotis Spentzouris, Ziv Steiner, Boyan Torosov, Davide Venturelli, Robert J. Visser, Zak Webb, Xin Zhan, Yonatan Cohen, Pooya Ronagh, Alan Ho, Raymond G. Beausoleil, John M. Martinis Publication venue not recorded

Figure-derived thumbnail for Hybrid quantum-classical reservoir computing for simulating chaotic systems
2024
Open paper

Hybrid quantum-classical reservoir computing for simulating chaotic systems

Filip Wudarski, Daniel O'Connor, Shaun Geaney, Ata Akbari Asanjan, Max Wilson, Elena Strbac, P. Aaron Lott, Davide Venturelli arXiv preprint arXiv:2311.14105

Figure-derived thumbnail for Imposing Constraints on Driver Hamiltonians and Mixing Operators: From Theory to Practical Implementation
2024
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

Figure-derived thumbnail for Improved Fermion Hamiltonians for Quantum Simulation
2024
Open paper

Improved Fermion Hamiltonians for Quantum Simulation

Erik Gustafson, Ruth Van de Water Proceedings of The 40th International Symposium on Lattice Field Theory — PoS(LATTICE2023), 215

Figure-derived thumbnail for Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping
2024
Open paper

Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping

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

Figure-derived thumbnail for Measurement-Based Quantum Approximate Optimization
2024
Open paper

Measurement-Based Quantum Approximate Optimization

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

Figure-derived thumbnail for Optimized quantum simulation algorithms for scalar quantum field theories
2024
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

Figure-derived thumbnail for Primitive Quantum Gates for an SU(3) Discrete Subgroup: Sigma(36x3)
2024
Open paper

Primitive Quantum Gates for an SU(3) Discrete Subgroup: Sigma(36x3)

Erik J Gustafson, Yao Ji, Henry Lamm, Edison M Murairi, Shuchen Zhu arXiv preprint arXiv:2405.05973

2024
Open paper

Quantum Hardware-Enabled Molecular Dynamics via Transfer Learning

Abid Khan, Prateek Vaish, Yaoqi Pang, Nikhil Kowshik, Michael S. Chen, Clay H. Batton, Grant M. Rotskoff, J. Wayne Mullinax, Bryan K. Clark, Brenda M. Rubenstein, Norm M. Tubman arXiv preprint arXiv:2406.08554

Figure-derived thumbnail for Quantum Resources Required for Binding Affinity Calculations of Amyloid beta
2024
Open paper

Quantum Resources Required for Binding Affinity Calculations of Amyloid beta

Matthew Otten, Thomas W Watts, Samuel D Johnson, Rashmi Sundareswara, Zhihui Wang, Tarini S Hardikar, Kenneth Heitritter, James Brown, Kanav Setia, Adam Holmes arXiv preprint arXiv:2406.18744

Figure-derived thumbnail for Revealing inadvertent periodic modulation of qubit frequency
2024
Open paper

Revealing inadvertent periodic modulation of qubit frequency

Filip Wudarski, Yaxing Zhang, Juan Atalaya, MI Dykman Physical Review Applied, 22(5), 054065

2024
Open paper

Simulating nonlinear optical processes on a superconducting quantum device

Yuan Shi, Bram Evert, Amy F. Brown, Vinay Tripathi, Eyob A. Sete, Vasily Geyko, Yujin Cho, Jonathan L DuBois, Daniel Lidar, Ilon Joseph, Matt Reagor J. Plasma Phys. 90 (2024) 805900602

Figure-derived thumbnail for Surrogate optimization of variational quantum circuits
2024
Open paper

Surrogate optimization of variational quantum circuits

Erik J. Gustafson, Juha Tiihonen, Diana Chamaki, Farshud Sorourifar, J. Wayne Mullinax, Andy C. Y. Li, Filip B. Maciejewski, Nicolas P. D. Sawaya, Jaron T. Krogel, David E. Bernal Neira, Norm M. Tubman Proceedings of the National Academy of Sciences, 122(36), e2408530122

Figure-derived thumbnail for Syncopated Dynamical Decoupling for Suppressing Crosstalk in Quantum Circuits
2024
Open paper

Syncopated Dynamical Decoupling for Suppressing Crosstalk in Quantum Circuits

Bram Evert, Zoe Gonzalez Izquierdo, James Sud, Hong-Ye Hu, Shon Grabbe, Eleanor G Rieffel, Matthew J Reagor, Zhihui Wang arXiv preprint arXiv:2403.07836

Figure-derived thumbnail for Uniformly Decaying Subspaces for Error Mitigated Quantum Computation
2024
Open paper

Uniformly Decaying Subspaces for Error Mitigated Quantum Computation

Nishchay Suri, Jason Saied, Davide Venturelli Physical Review A, 110(4), 042621

Figure-derived thumbnail for Uplink MIMO Detection using Ising Machines: A Multi-Stage Ising Approach
2024
Open paper

Uplink MIMO Detection using Ising Machines: A Multi-Stage Ising Approach

Abhishek Kumar Singh, Ari Kapelyan, Minsung Kim, Davide Venturelli, Peter L McMahon, Kyle Jamieson IEEE Transactions on Wireless Communications

Figure-derived thumbnail for Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model
2023
Open paper

Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model

Thomas Templin, Milad Memarzadeh, Walter Vinci, P Aaron Lott, Ata Akbari Asanjan, Anthony Alexiades Armenakas, Eleanor Rieffel Machine Learning: Science and Technology, 4(3), 035018

Figure-derived thumbnail for Asymptotically Faster Quantum Distributed Algorithms for Approximate Steiner Trees and Directed Minimum Spanning Trees
2023
Open paper

Asymptotically Faster Quantum Distributed Algorithms for Approximate Steiner Trees and Directed Minimum Spanning Trees

Phillip A Kerger, David E Bernal Neira, Zoe Gonzalez Izquierdo, Eleanor G Rieffel arXiv preprint arXiv:2304.02825

Figure-derived thumbnail for Beyond MP2 initialization for unitary coupled cluster quantum circuits
2023
Open paper

Beyond MP2 initialization for unitary coupled cluster quantum circuits

Mark R Hirsbrunner, Diana Chamaki, J Wayne Mullinax, Norm M Tubman Quantum, 8, 1538

Figure-derived thumbnail for Characterizing low-frequency qubit noise
2023
Open paper

Characterizing low-frequency qubit noise

Filip Wudarski, Yaxing Zhang, Alexander N Korotkov, AG Petukhov, MI Dykman Physical Review Applied

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

Figure-derived thumbnail for HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware
2023
Open paper

HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware

Nicolas PD Sawaya, Daniel Marti-Dafcik, Yang Ho, Daniel P Tabor, David E Bernal Neira, Alicia B Magann, Shavindra Premaratne, Pradeep Dubey, Anne Matsuura, Nathan Bishop, Wibe A de Jong, Simon Benjamin, Ojas Parekh, Norm Tubman, Katherine Klymko, Daan Camps 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), 389-390

Figure-derived thumbnail for Incoherent Approximation of Leakage in Quantum Error Correction
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Figure-derived thumbnail for Iterative Quantum Algorithms for Maximum Independent Set: A Tale of Low-Depth Quantum Algorithms
2023
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Iterative Quantum Algorithms for Maximum Independent Set: A Tale of Low-Depth Quantum Algorithms

Lucas T Brady, Stuart Hadfield arXiv preprint arXiv:2309.13110

Figure-derived thumbnail for Mind the O-tilde: Asymptotically Better, but Still Impractical, Quantum Distributed Algorithms
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Mind the O-tilde: Asymptotically Better, but Still Impractical, Quantum Distributed Algorithms

Phillip A Kerger, David E Bernal Neira, Zoe Gonzalez Izquierdo, Eleanor G Rieffel Algorithms, 16(7), 332

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2023
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Nonergodic measurements of qubit frequency noise

Filip Wudarski, Yaxing Zhang, MI Dykman Physical Review Letters, 131(23), 230201

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2023
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Jacob Biamonte arXiv preprint arXiv:2311.17249

2023
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Optimization Applications as Quantum Performance Benchmarks

Thomas Lubinski, Carleton Coffrin, Catherine McGeoch, Pratik Sathe, Joshua Apanavicius, David E. Bernal Neira ACM Transactions on Quantum Computing, Volume 5, Issue 3, 2024

2023
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Pre-optimizing variational quantum eigensolvers with tensor networks

Abid Khan, Bryan K. Clark, Norm M. Tubman arXiv preprint arXiv:2310.12965

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2023
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Erik J Gustafson, Andy CY Li, Abid Khan, Abid Kahn, Joonho Kim, Doga Murat Kurkcuoglu, M Sohaib Alam, Peter P Orth, Armin Rahmani, Thomas Iadecola Quantum 7, 1171 (2023)

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2023
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2023
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Quantum Image Denoising: A Framework via Boltzmann Machines, QUBO, and Quantum Annealing

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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

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2023
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2023
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2023
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2023
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2023
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3-regular three-XORSAT planted solutions benchmark of classical and quantum heuristic optimizers

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2022
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2022
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Logical shadow tomography: Efficient estimation of error-mitigated observables

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2021
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2021
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2021
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2021
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2020
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2020
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2020
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2020
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Observation of separated dynamics of charge and spin in the Fermi-Hubbard model

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2020
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2020
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Quantum algorithms with local particle number conservation: noise effects and error correction

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2020
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2020
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TensorFlow Quantum: A Software Framework for Quantum Machine Learning

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2020
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2020
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Towards Hybrid Classical-Quantum Computation Structures in Wirelessly-Networked Systems

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Figure-derived thumbnail for Experimental investigation of performance differences between Coherent Ising Machines and a quantum annealer
2019
Open paper

Experimental investigation of performance differences between Coherent Ising Machines and a quantum annealer

Ryan Hamerly, Takahiro Inagaki, Peter L. McMahon, Davide Venturelli, Alireza Marandi, Tatsuhiro Onodera, Edwin Ng, Carsten Langrock, Kensuke Inaba, Toshimori Honjo, Koji Enbutsu, Takeshi Umeki, Ryoichi Kasahara, Shoko Utsunomiya, Satoshi Kako, Ken-ichi Kawarabayashi, Robert L. Byer, Martin M. Fejer, Hideo Mabuchi, Dirk Englund, Eleanor Rieffel, Hiroki Takesue, Yoshihisa Yamamoto Science advances

Figure-derived thumbnail for From ansätze to Z-gates: A NASA view of quantum computing
2019
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

Figure-derived thumbnail for From the quantum approximate optimization algorithm to a quantum alternating operator ansatz
2019
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

Figure-derived thumbnail for Leveraging quantum annealing for large MIMO processing in centralized radio access networks
2019
Open paper

Leveraging quantum annealing for large MIMO processing in centralized radio access networks

Minsung Kim, Davide Venturelli, Kyle Jamieson Proceedings of the ACM Special Interest Group on Data Communication, 241-255

2019
Open paper

Noise amplification at spin-glass bottlenecks of quantum annealing: a solvable model

David Roberts, Lukasz Cincio, Avadh Saxena, Andre Petukhov, Sergey Knysh Phys. Rev. A 101, 042317 (2020)

2019
Open paper

Performance of a Quantum Annealer for Ising Ground State Computations on Chimera Graphs

Michael Juenger, Elisabeth Lobe, Petra Mutzel, Gerhard Reinelt, Franz Rendl, Giovanni Rinaldi, Tobias Stollenwerk arXiv preprint arXiv:1904.11965

Figure-derived thumbnail for Power of pausing: Advancing understanding of thermalization in experimental quantum annealers
2019
Open paper

Power of pausing: Advancing understanding of thermalization in experimental quantum annealers

Jeffrey Marshall, Davide Venturelli, Itay Hen, Eleanor G Rieffel Physical Review Applied

Figure-derived thumbnail for Quantum annealing applied to de-conflicting optimal trajectories for air traffic management
2019
Open paper

Quantum annealing applied to de-conflicting optimal trajectories for air traffic management

Tobias Stollenwerk, Bryan O’Gorman, Davide Venturelli, Salvatore Mandra, Olga Rodionova, Hokkwan Ng, Banavar Sridhar, Eleanor Gilbert Rieffel, Rupak Biswas IEEE transactions on intelligent transportation systems

2019
Open paper

Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm

Guillaume Verdon, Jacob Marks, Sasha Nanda, Stefan Leichenauer, Jack Hidary arXiv preprint arXiv:1910.02071

Figure-derived thumbnail for Quantum Logic Gate Synthesis as a Markov Decision Process
2019
Open paper

Quantum Logic Gate Synthesis as a Markov Decision Process

M. Sohaib Alam, Noah F. Berthusen, Peter P. Orth npj Quantum Inf 9, 108 (2023)

Figure-derived thumbnail for Quantum supremacy using a programmable superconducting processor
2019
Open paper

Quantum supremacy using a programmable superconducting processor

Frank Arute, Kunal Arya, Ryan Babbush, Dave Bacon, Joseph C. Bardin, Rami Barends, Rupak Biswas, Sergio Boixo, Fernando G. S. L. Brandao, David A. Buell, Brian Burkett, Yu Chen, Zijun Chen, Ben Chiaro, Roberto Collins, William Courtney, Andrew Dunsworth, Edward Farhi, Brooks Foxen, Austin Fowler, Craig Gidney, Marissa Giustina, Rob Graff, Keith Guerin, Steve Habegger, Matthew P. Harrigan, Michael J. Hartmann, Alan Ho, Markus R. Hoffmann, Trent Huang, Travis S. Humble, Sergei V. Isakov, Evan Jeffrey, Zhang Jiang, Dvir Kafri, Kostyantyn Kechedzhi, Julian Kelly, Paul V. Klimov, Sergey Knysh, Alexander N. Korotkov, Fedor Kostritsa, David Landhuis, Mike Lindmark, Erik Lucero, Dmitry Lyakh, Salvatore Mandra, Jarrod R. McClean, Matt McEwen, Anthony Megrant, Xiao Mi, Kristel Michielsen, Masoud Mohseni, Josh Mutus, Ofer Naaman, Matthew Neeley, Charles Neill, Murphy Yuezhen Niu, Eric Ostby, Andre Petukhov, John C. Platt, Chris Quintana, Eleanor G. Rieffel, Pedram Roushan, Nicholas C. Rubin, Daniel Sank, Kevin J. Satzinger, Vadim Smelyanskiy, Kevin J. Sung, Matthew D. Trevithick, Amit Vainsencher, Benjamin Villalonga, Theodore White, Z. Jamie Yao, Ping Yeh, Adam Zalcman, Hartmut Neven, John M. Martinis Nature 574, 505

Figure-derived thumbnail for Readiness of quantum optimization machines for industrial applications
2019
Open paper

Readiness of quantum optimization machines for industrial applications

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 Physical Review Applied

2018
Open paper

A flexible high-performance simulator for verifying and benchmarking quantum circuits implemented on real hardware

Benjamin Villalonga, Sergio Boixo, Bron Nelson, Christopher Henze, Eleanor Rieffel, Rupak Biswas, Salvatore Mandrà arXiv preprint arXiv:1811.09599

Figure-derived thumbnail for Comparing and integrating constraint programming and temporal planning for quantum circuit compilation
2018
Open paper

Comparing and integrating constraint programming and temporal planning for quantum circuit compilation

Kyle Booth, Minh Do, J Beck, Eleanor Rieffel, Davide Venturelli, Jeremy Frank Proceedings of the International Conference on Automated Planning and Scheduling

Figure-derived thumbnail for Compiling quantum circuits to realistic hardware architectures using temporal planners
2018
Open paper

Compiling quantum circuits to realistic hardware architectures using temporal planners

Davide Venturelli, Minh Do, Eleanor Rieffel, Jeremy Frank Quantum Science and Technology

Figure-derived thumbnail for Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers
2018
Open paper

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

Alejandro Perdomo-Ortiz, Marcello Benedetti, John Realpe-Gómez, Rupak Biswas Quantum Science and Technology

Figure-derived thumbnail for A NASA perspective on quantum computing: Opportunities and challenges
2017
Open paper

A NASA perspective on quantum computing: Opportunities and challenges

Rupak Biswas, Zhang Jiang, Kostya Kechezhi, Sergey Knysh, Salvatore Mandrà, Bryan O'Gorman, Alejandro Perdomo-Ortiz, Andre Petukhov, John Realpe-Gómez, Eleanor Rieffel, Davide Venturelli, Fedir Vasko, Zhihui Wang Parallel Computing, 64, 81-98

Figure-derived thumbnail for Near-optimal quantum circuit for Grover's unstructured search using a transverse field
2017
Open paper

Near-optimal quantum circuit for Grover's unstructured search using a transverse field

Zhang Jiang, Eleanor G Rieffel, Zhihui Wang Physical Review A

Figure-derived thumbnail for Quantum annealing via environment-mediated quantum diffusion
2017
Open paper

Quantum annealing via environment-mediated quantum diffusion

Vadim N Smelyanskiy, Davide Venturelli, Alejandro Perdomo-Ortiz, Sergey Knysh, Mark I Dykman Physical review letters

Figure-derived thumbnail for Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models
2017
Open paper

Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

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

Figure-derived thumbnail for Thermalization, freeze-out, and noise: Deciphering experimental quantum annealers
2017
Open paper

Thermalization, freeze-out, and noise: Deciphering experimental quantum annealers

Jeffrey Marshall, Eleanor G Rieffel, Itay Hen Physical Review Applied

Figure-derived thumbnail for Determination and correction of persistent biases in quantum annealers
2016
Open paper

Determination and correction of persistent biases in quantum annealers

Alejandro Perdomo-Ortiz, Bryan O’Gorman, Joseph Fluegemann, Rupak Biswas, Vadim N Smelyanskiy Scientific reports

Figure-derived thumbnail for A Performance Estimator for Quantum Annealers: Gauge selection and Parameter Setting
2015
Open paper

A Performance Estimator for Quantum Annealers: Gauge selection and Parameter Setting

Alejandro Perdomo-Ortiz, Joseph Fluegemann, Rupak Biswas, Vadim N Smelyanskiy arXiv preprint arXiv:1503.01083

Figure-derived thumbnail for A quantum annealing approach for fault detection and diagnosis of graph-based systems
2015
Open paper

A quantum annealing approach for fault detection and diagnosis of graph-based systems

Alejandro Perdomo-Ortiz, Joseph Fluegemann, Sriram Narasimhan, Rupak Biswas, Vadim N Smelyanskiy The European Physical Journal Special Topics, 224(1), 131-148

Figure-derived thumbnail for Bayesian network structure learning using quantum annealing
2015
Open paper

Bayesian network structure learning using quantum annealing

Bryan O’Gorman, Ryan Babbush, Alejandro Perdomo-Ortiz, Alán Aspuru-Guzik, Vadim Smelyanskiy The European Physical Journal Special Topics, 224(1), 163-188

Figure-derived thumbnail for Quantum annealing implementation of job-shop scheduling
2015
Open paper

Quantum annealing implementation of job-shop scheduling

Davide Venturelli, Dominic JJ Marchand, Galo Rojo arXiv preprint arXiv:1506.08479