Scholarly output / complete record

Publications

Complete group publication record with one or two selected highlights. New candidates are discovered automatically and approved by the team.

2025

Roadmap on Neuromorphic Photonics

Daniel Brunner, Bhavin J Shastri, Mohammed A Al Qadasi, H Ballani, Sylvain Barbay, Stefano Biasi, Peter Bienstman, Simon Bilodeau, Wim Bogaerts, Fabian Böhm, et al. · arXiv preprint arXiv:2501.07917

2024

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 · arXiv preprint arXiv:2408.07793

2024

Accelerating Continuous Variable Coherent Ising Machines via Momentum

Robin Brown, Davide Venturelli, Marco Pavone, David E Bernal Neira · arXiv preprint arXiv:2401.12135

2024

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

Jason Saied, Jeffrey Marshall, Namit Anand, Shon Grabbe, Eleanor G Rieffel · Publication venue not recorded

2024

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

Evgeny Mozgunov · arXiv preprint arXiv:2406.06281

2024

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

2024

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 · arXiv e-prints

2024

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

2024

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

2024

Dual-Unitary Classical Shadow Tomography

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

2024

Dynamical Logical Qubits in the Bacon-Shor Code

M Sohaib Alam, Eleanor Rieffel · arXiv preprint arXiv:2403.03291

2024

FOCQS: Feedback Optimally Controlled Quantum States

Lucas T Brady, Stuart Hadfield · arXiv preprint arXiv:2409.15426

2024

General protocols for the efficient distillation of indistinguishable photons

Jason Saied, Jeffrey Marshall, Namit Anand, Eleanor G Rieffel · arXiv preprint arXiv:2404.14217

2024

How to Build a Quantum Supercomputer: Scaling Challenges and Opportunities

Masoud Mohseni, Artur Scherer, K Grace Johnson, Oded Wertheim, Matthew Otten, Navid Anjum Aadit, Kirk M Bresniker, Kerem Y Camsari, Barbara Chapman, Soumitra Chatterjee, et al. · Publication venue not recorded

2024

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

2024

Improved Fermion Hamiltonians for Quantum Simulation

Erik Gustafson, Ruth Van de Water · arXiv preprint arXiv:2402.04317

2024

Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping

Filip B Maciejewski, Jacob Biamonte, Stuart Hadfield, Davide Venturelli · arXiv preprint arXiv:2404.01412

2024

Measurement-Based Quantum Approximate Optimization

Tobias Stollenwerk, Stuart Hadfield · arXiv preprint arXiv:2403.11514

2024

Optimized quantum simulation algorithms for scalar quantum field theories

Andrew Hardy, Priyanka Mukhopadhyay, M Sohaib Alam, Robert Konik, Layla Hormozi, Eleanor Rieffel, Stuart Hadfield, Joao Barata, Raju Venugopalan, Dmitri E Kharzeev, et al. · arXiv preprint arXiv:2407.13819

2024

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

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

2024

Revealing inadvertent periodic modulation of qubit frequency

Filip Wudarski, Yaxing Zhang, Juan Atalaya, MI Dykman · arXiv preprint arXiv:2408.08196

2024

Surrogate optimization of variational quantum circuits

Erik J Gustafson, Juha Tiihonen, Diana Chamaki, Farshud Sorourifar, J Wayne Mullinax, Andy CY Li, Filip B Maciejewski, Nicolas PD Sawaya, Jaron T Krogel, David E Bernal Neira, et al. · arXiv preprint arXiv:2404.02951

2024

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

2024

Uniformly Decaying Subspaces for Error Mitigated Quantum Computation

Nishchay Suri, Jason Saied, Davide Venturelli · arXiv preprint arXiv:2403.00163

2024

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

2023

A model independent description of decays

Erik J Gustafson, Florian Herren, Ruth S Van de Water, Raynette van Tonder, Michael L Wagman · arXiv preprint arXiv:2311.00864

2023

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 · arXiv preprint arXiv:2303.12302

2023

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

2023

Beyond MP2 initialization for unitary coupled cluster quantum circuits

Mark R Hirsbrunner, Diana Chamaki, J Wayne Mullinax, Norm M Tubman · arXiv preprint arXiv:2301.05666

2023

Characterizing low-frequency qubit noise

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

2023

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

Nicolas PD Sawaya, Daniel Marti-Dafcik, Yang Ho, Daniel P Tabor, David Bernal, Alicia B Magann, Shavindra Premaratne, Pradeep Dubey, Anne Matsuura, Nathan Bishop, et al. · arXiv preprint arXiv:2306.13126

2023

Incoherent Approximation of Leakage in Quantum Error Correction

Jeffrey Marshall, Dvir Kafri · arXiv preprint arXiv:2312.10277

2023

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

Lucas T Brady, Stuart Hadfield · arXiv preprint arXiv:2309.13110

2023

Learning Noise via Dynamical Decoupling of Entangled Qubits

Trevor McCourt, Charles Neill, Kenny Lee, Chris Quintana, Yu Chen, Julian Kelly, Jeffrey Marshall, VN Smelyanskiy, MI Dykman, Alexander Korotkov, et al. · Physical Review A

2023

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 · arXiv preprint arXiv:2304.02825

2023

Nonergodic measurements of qubit frequency noise

Filip Wudarski, Yaxing Zhang, MI Dykman · arXiv preprint arXiv:2304.05241

2023

On Commutative Penalty Functions in Parent-Hamiltonian Constructions

Jacob Biamonte · arXiv preprint arXiv:2311.17249

2023

Preparing quantum many-body scar states on quantum computers

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 · Publication venue not recorded

2023

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

2023

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, et al. · arXiv preprint arXiv:2303.05509

2023

Quantum Optimization: Potential, Challenges, and the Path Forward

Amira Abbas, Andris Ambainis, Brandon Augustino, Andreas Bärtschi, Harry Buhrman, Carleton Coffrin, Giorgio Cortiana, Vedran Dunjko, Daniel J Egger, Bruce G Elmegreen, et al. · arXiv preprint arXiv:2312.02279

2023

Quantum Simulation of an Open System: A Dissipative 1+ 1D Ising Model

Erik Gustafson, Michael Hite, Jay Hubisz, Bharath Sambasivam, Judah Unmuth-Yockey · arXiv preprint arXiv:2311.18728

2023

Real-Time Krylov Theory for Quantum Computing Algorithms

Yizhi Shen, Katherine Klymko, James Sud, David B. Williams-Young, Wibe A. de Jong, Norm M. Tubman · arXiv preprint arXiv:2208.01063

2023

Robust Finite-Temperature Many-Body Scarring on a Quantum Computer

Jean-Yves Desaules, Erik J Gustafson, Andy CY Li, Zlatko Papić, Jad C Halimeh · arXiv preprint arXiv:2309.11543

2023

Scrambling and operator entanglement in local non-Hermitian quantum systems

Brian Barch, Namit Anand, Jeffrey Marshall, Eleanor Rieffel, Paolo Zanardi · arXiv preprint arXiv:2305.12054

2023

Simulating lattice gauge theory on a quantum computer

Clement Charles, Erik J Gustafson, Elizabeth Hardt, Florian Herren, Norman Hogan, Henry Lamm, Sara Starecheski, Ruth S Van de Water, Michael L Wagman · arXiv preprint arXiv:2305.02361

2023

Simulation of quantum optics by coherent state decomposition

Jeffrey Marshall, Namit Anand · arXiv preprint arXiv:2305.17099

2023

Superlattice Engineering of Topology in Massive Dirac Fermions

Nishchay Suri, Chong Wang, Benjamin M Hunt, Di Xiao · arXiv preprint arXiv:2305.13522

2023

The hardware is the software

Jeremie Laydevant, Logan G Wright, Tianyu Wang, Peter L McMahon · arXiv preprint arXiv:2310.18335

2023

Two-Unitary Decomposition Algorithm and Open Quantum System Simulation

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

2022

A Copositive Framework for Analysis of Hybrid Ising-Classical Algorithms

Robin Brown, David E Bernal Neira, Davide Venturelli, Marco Pavone · arXiv preprint arXiv:2207.13630

2022

A Parameter Setting Heuristic for the Quantum Alternating Operator Ansatz

James Sud, Stuart Hadfield, Eleanor Rieffel, Norm Tubman, Tad Hogg · arXiv preprint arXiv:2211.09270

2022

Advantage of pausing: parameter setting for quantum annealers

Zoe Gonzalez Izquierdo, Shon Grabbe, Husni Idris, Zhihui Wang, Jeffrey Marshall, Eleanor Rieffel · Physical Review Applied

2022

Analytical Framework for Quantum Alternating Operator Ansätze

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

2022

Applying NOX Error Mitigation Protocols to Calculate Real-time Quantum Field Theory Scattering Phase Shifts

Zachary Parks, Arnaud Carignan-Dugas, Erik Gustafson, Yannick Meurice, Patrick Dreher · arXiv preprint arXiv:2212.05333

2022

Computing Free Energies with Fluctuation Relations on Quantum Computers

Lindsay Bassman Oftelie, Katherine Klymko, Diyi Liu, Norm M Tubman, Wibe A de Jong · Physical review letters

2022

Diagrammatic Analysis for Parameterized Quantum Circuits

Tobias Stollenwerk, Stuart Hadfield · arXiv preprint arXiv:2204.01307

2022

Distillation of Indistinguishable Photons

J Marshall · Phys. Rev. Lett.

2022

Dual Map Framework for Noise Characterization of Quantum Computers

James Sud, Jeffrey Marshall, Zhihui Wang, Eleanor Rieffel, Filip A Wudarski · Physical Review A

2022

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 · arXiv preprint arXiv:2203.14432

2022

Fermionic approach to variational quantum simulation of Kitaev spin models

Ammar Jahin, Andy CY Li, Thomas Iadecola, Peter P Orth, Gabriel N Perdue, Alexandru Macridin, M Sohaib Alam, Norm M Tubman · Physical Review A

2022

Localization transition induced by programmable disorder

LC da C Jaime Filho, Zoe Gonzalez Izquierdo, Andreia Saguia, Tameem Albash, Itay Hen, Marcelo S Sarandy · PHYSICAL REVIEW B

2022

Logical shadow tomography: Efficient estimation of error-mitigated observables

Hong-Ye Hu, Ryan LaRose, Yi-Zhuang You, Eleanor Rieffel, Zhihui Wang · Publication venue not recorded

2022

Master Equation Emulation and Coherence Preservation with Classical Control of a Superconducting Qubit

Evangelos Vlachos, Haimeng Zhang, Vivek Maurya, Jeffrey Marshall, Tameem Albash, Eli M Levenson-Falk · Physical Review A

2022

Mixer-Phaser Ansätze for Quantum Optimization with Hard Constraints

Ryan LaRose, Eleanor Rieffel, Davide Venturelli · Quantum Machine Intelligence

2022

Noise Improvements in Quantum Simulations of sQED using Qutrits

Erik Gustafson · arXiv preprint arXiv:2201.04546

2022

Numerical Gate Synthesis for Quantum Heuristics on Bosonic Quantum Processors

A Barış Özgüler, Davide Venturelli · Frontiers in Physics

2022

Perils of Embedding for Quantum Sampling

Jeffrey Marshall, Gianni Mossi, Eleanor G Rieffel · Physical Review A

2022

Primitive Quantum Gates for Dihedral Gauge Theories

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

2022

Quantum computing hardware for HEP algorithms and sensing

M Sohaib Alam, Sergey Belomestnykh, Nicholas Bornman, Gustavo Cancelo, Yu-Chiu Chao, Mattia Checchin, Vinh San Dinh, Anna Grassellino, Erik J Gustafson, Roni Harnik, et al. · arXiv e-prints

2022

Real time evolution for ultracompact Hamiltonian eigenstates on quantum hardware

Katherine Klymko, Carlos Mejuto-Zaera, Stephen J Cotton, Filip Wudarski, Miroslav Urbanek, Diptarka Hait, Martin Head-Gordon, K Birgitta Whaley, Jonathan Moussa, Nathan Wiebe, et al. · PRX Quantum

2022

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

2022

Stout Smearing on a Quantum Computer

Erik J Gustafson · arXiv preprint arXiv:2211.05607

2022

Towards solving the Fermi-Hubbard model via tailored quantum annealers

Ryan Levy, Zoe Gonzalez Izquierdo, Zhihui Wang, Jeffrey Marshall, Joseph Barreto, Louis Fry-Bouriaux, Daniel T O'Connor, Paul A Warburton, Nathan Wiebe, Eleanor Rieffel, et al. · arXiv preprint arXiv:2207.14374

2022

Wave function Ansatz (but Periodic) Networks and the Homogeneous Electron Gas

Max Wilson, Saverio Moroni, Markus Holzmann, Nicholas Gao, Filip Wudarski, Tejs Vegge, Arghya Bhowmik · arXiv preprint arXiv:2202.04622

2021

Benchmarking variational quantum eigensolvers for the square-octagon-lattice Kitaev model

Andy CY Li, M Sohaib Alam, Thomas Iadecola, Ammar Jahin, Doga Murat Kurkcuoglu, Richard Li, Peter P Orth, A Barış Özgüler, Gabriel N Perdue, Norm M Tubman · arXiv preprint arXiv:2108.13375

2021

Classical symmetries and the Quantum Approximate Optimization Algorithm

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

2021

Entanglement Across Separate Silicon Dies in a Modular Superconducting Qubit Device

Alysson Gold, JP Paquette, Anna Stockklauser, Matthew J Reagor, M Sohaib Alam, Andrew Bestwick, Nicolas Didier, Ani Nersisyan, Feyza Oruc, Armin Razavi, et al. · npj Quantum Information

2021

HybridQ: A Hybrid Simulator for Quantum Circuits

Salvatore Mandrà, Jeffrey Marshall, Eleanor G Rieffel, Rupak Biswas · Publication venue not recorded

2021

Inter-generational comparison of quantum annealers in solving hard scheduling problems

Bibek Pokharel, Zoe Gonzalez Izquierdo, P Aaron Lott, Elena Strbac, Krzysztof Osiewalski, Emmanuel Papathanasiou, Alexei Kondratyev, Davide Venturelli, Eleanor Rieffel · arXiv preprint arXiv:2112.00727

2021

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

Stuart Hadfield · ACM Transactions on Quantum Computing

2021

Optimizing quantum heuristics with meta-learning

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

2021

Physics-Inspired Heuristics for Soft MIMO Detection in 5G New Radio and Beyond

Minsung Kim, Salvatore Mandrà, Davide Venturelli, Kyle Jamieson · Publication venue not recorded

2021

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

2021

Quantum Annealing for Large MIMO Downlink Vector Perturbation Precoding

Srikar Kasi, Abhishek Kumar Singh, Davide Venturelli, Kyle Jamieson · Publication venue not recorded

2021

Quantum simulation of theories in qudit systems

Doga Murat Kurkcuoglu, M Sohaib Alam, Joshua Adam Job, Andy CY Li, Alexandru Macridin, Gabriel N Perdue, Stephen Providence · arXiv preprint arXiv:2108.13357

2021

Quantum-accelerated constraint programming

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

2021

Quantum-assisted associative adversarial network: Applying quantum annealing in deep learning

Max Wilson, Thomas Vandal, Tad Hogg, Eleanor G Rieffel · Quantum Machine Intelligence

2021

Simulation of adiabatic quantum computing for molecular ground states

Vladimir Kremenetski, Carlos Mejuto-Zaera, Stephen J Cotton, Norm M Tubman · The Journal of Chemical Physics

2021

Simulations of state-of-the-art fermionic neural network wave functions with diffusion Monte Carlo

Max Wilson, Nicholas Gao, Filip Wudarski, Eleanor Rieffel, Norm M Tubman · arXiv preprint arXiv:2103.12570

2020

Augmented fidelities for single qubit gates

Filip Wudarski, Jeffrey Marshall, Andre Petukhov, Eleanor Rieffel · Physical Review A

2020

CASSCF with Extremely Large Active Spaces using the Adaptive Sampling Configuration Interaction Method

Daniel S Levine, Diptarka Hait, Norm M Tubman, Susi Lehtola, K Birgitta Whaley, Martin Head-Gordon · Journal of chemical theory and computation

2020

Character randomized benchmarking for non-multiplicity-free groups with applications to subspace, leakage, and matchgate randomized benchmarking

.00007, 2020/10/30 Jahan Claes, Eleanor Rieffel, Zhihui Wang · arXiv preprint arXiv:

2020

Characterizing local noise in QAOA circuits

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

2020

Comparing relaxation mechanisms in quantum and classical transverse-field annealing

Tameem Albash, Jeffrey Marshall · Phys. Rev. Applied

2020

Ferromagnetically shifting the power of pausing

.08526, 2020/6/15 Zoe Gonzalez Izquierdo, Shon Grabbe, Stuart Hadfield, Jeffrey Marshall, Zhihui Wang, Eleanor Rieffel · arXiv preprint arXiv:

2020

High-dimensional similarity search with quantum-assisted variational autoencoder

Nicholas Gao, Max Wilson, Thomas Vandal, Walter Vinci, Ramakrishna Nemani, Eleanor Rieffel · Publication venue not recorded

2020

Integer programming techniques for minor-embedding in quantum annealers

David E Bernal, Kyle EC Booth, Raouf Dridi, Hedayat Alghassi, Sridhar Tayur, Davide Venturelli · Publication venue not recorded

2020

Observation of separated dynamics of charge and spin in the fermi-hubbard model

.07965, 2020/10/15 Frank Arute, Kunal Arya, Ryan Babbush, Dave Bacon, Joseph C Bardin, Rami Barends, Andreas Bengtsson, Sergio Boixo, Michael Broughton, Bob B Buckley, et al. · arXiv preprint arXiv:

2020

Perils of Embedding for Sampling Problems

Jeffrey Marshall, Andrea Di Gioacchino, Eleanor G Rieffel · Physical Review Research

2020

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

.06873, 2020/11/13 Michael Streif, Martin Leib, Filip Wudarski, Eleanor Rieffel, Zhihui Wang · arXiv preprint arXiv:

2020

Quantum annealing speedup of embedded problems via suppression of Griffiths singularities

Sergey Knysh, Eugeniu Plamadeala, Davide Venturelli · Physical Review B

2020

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

Minsung Kim, Davide Venturelli, Kyle Jamieson · Publication venue not recorded

2019

Selected highlight

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, et al. · Science advances

2019

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, et al. · Future Trends of HPC in a Disruptive Scenario

2019

Selected highlight

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

2019

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

Minsung Kim, Davide Venturelli, Kyle Jamieson · Publication venue not recorded

2019

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

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

2019

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

Quantum Logic Gate Synthesis as a Markov Decision Process

.12002, 2019/12/27 M Sohaib Alam, Noah F Berthusen, Peter P Orth · arXiv preprint arXiv:

2019

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, et al. · Physical Review Applied

2018

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

2018

Compiling quantum circuits to realistic hardware architectures using temporal planners

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

2018

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

2017

A NASA perspective on quantum computing: Opportunities and challenges

Rupak Biswas, Zhang Jiang, Kostya Kechezhi, Sergey Knysh, Salvatore Mandra, Bryan O’Gorman, Alejandro Perdomo-Ortiz, Andre Petukhov, John Realpe-Gómez, Eleanor Rieffel, et al. · Publication venue not recorded

2017

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

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

2017

Quantum annealing via environment-mediated quantum diffusion

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

2017

Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

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

2017

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

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

2016

Determination and correction of persistent biases in quantum annealers

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

2015

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

2015

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 · Publication venue not recorded

2015

Bayesian network structure learning using quantum annealing

Bryan O’Gorman, Ryan Babbush, Alejandro Perdomo-Ortiz, Alán Aspuru-Guzik, Vadim Smelyanskiy · Publication venue not recorded

2015

Quantum annealing implementation of job-shop scheduling

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