Davide Venturelli

According to our database, Davide Venturelli authored at least 40 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Copositive Framework for Analysis of Hybrid Ising-Classical Algorithms.

Robin A. Brown, David Esteban Bernal Neira, Davide Venturelli, Marco Pavone

SIAM J. Optim., 2024

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

Eleanor Gilbert 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 Gener. Comput. Syst., 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

CoRR, 2024

X-ResQ: Reverse Annealing for Quantum MIMO Detection with Flexible Parallelism.

Minsung Kim, Abhishek Kumar Singh, Davide Venturelli, John Kaewell, Kyle Jamieson

CoRR, 2024

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

David Esteban Bernal Neira, Robin A. Brown, Pratik Sathe, Filip A. Wudarski, Marco Pavone, Eleanor Gilbert Rieffel, Davide Venturelli

CoRR, 2024

Utilizing modern computer architectures to solve mathematical optimization problems: A survey.

David E. Bernal Neira, Carl D. Laird, Laurens Lueg, Stuart M. Harwood, Dimitar Trenev, Davide Venturelli

Comput. Chem. Eng., 2024

Leveraging Quantum Computing for Database Index Selection.

Immanuel Trummer, Davide Venturelli

Proceedings of the Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications, 2024

Accelerating Continuous Variable Coherent Ising Machines via Momentum.

Robin A. Brown, Davide Venturelli, Marco Pavone, David E. Bernal Neira

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2024

2023

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

Bibek Pokharel, Zoe Gonzalez Izquierdo, Paul Aaron Lott, Elena Strbac, Krzysztof Osiewalski, Emmanuel Papathanasiou, Alexei Kondratyev, Davide Venturelli, Eleanor Gilbert Rieffel

Quantum Inf. Process., October, 2023

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, Paul Aaron Lott, Shon Grabbe, Eleanor Gilbert Rieffel, Matthew J. Reagor, Davide Venturelli

CoRR, 2023

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

Abhishek Kumar Singh, Ari Kapelyan, Davide Venturelli, Kyle Jamieson

CoRR, 2023

2022

Ising Machines' Dynamics and Regularization for Near-Optimal MIMO Detection.

Abhishek Kumar Singh, Kyle Jamieson, Peter L. McMahon, Davide Venturelli

IEEE Trans. Wirel. Commun., 2022

Correction to: Mixer‑phaser ansätze for quantum optimization with hard constraints.

Ryan LaRose, Eleanor Riefel, Davide Venturelli

Quantum Mach. Intell., 2022

Mixer-phaser Ansätze for quantum optimization with hard constraints.

Ryan LaRose, Eleanor Gilbert Rieffel, Davide Venturelli

Quantum Mach. Intell., 2022

Copositive programming for mixed-binary quadratic optimization via Ising solvers.

Robin A. Brown, David Esteban Bernal Neira, Davide Venturelli, Marco Pavone

CoRR, 2022

A Finite-Range Search Formulation of Maximum Likelihood MIMO Detection for Coherent Ising Machines.

Abhishek Kumar Singh, Davide Venturelli, Kyle Jamieson

CoRR, 2022

Warm-started quantum sphere decoding via reverse annealing for massive IoT connectivity.

Minsung Kim, Davide Venturelli, John Kaewell, Kyle Jamieson

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

Perturbation-based Formulation of Maximum Likelihood MIMO Detection for Coherent Ising Machines.

Abhishek Kumar Singh, Davide Venturelli, Kyle Jamieson

Proceedings of the IEEE Global Communications Conference, 2022

Regularized Ising Formulation for Near-Optimal MIMO Detection using Quantum Inspired Solvers.

Abhishek Kumar Singh, Kyle Jamieson, Peter L. McMahon, Davide Venturelli

Proceedings of the IEEE Global Communications Conference, 2022

2021

Heuristic Quantum Optimization for 6G Wireless Communications.

Minsung Kim, Srikar Kasi, Paul Aaron Lott, Davide Venturelli, John Kaewell, Kyle Jamieson

IEEE Netw., 2021

Ising Machines' Dynamics and Regularization for Near-Optimal Large and Massive MIMO Detection.

Abhishek Kumar Singh, Kyle Jamieson, Davide Venturelli, Peter L. McMahon

CoRR, 2021

Physics-inspired heuristics for soft MIMO detection in 5G new radio and beyond.

Minsung Kim, Salvatore Mandrà, Davide Venturelli, Kyle Jamieson

Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

Quantum Annealing for Large MIMO Downlink Vector Perturbation Precoding.

Srikar Kasi, Abhishek Kumar Singh, Davide Venturelli, Kyle Jamieson

Proceedings of the ICC 2021, 2021

2020

Quantum Annealing Applied to De-Conflicting Optimal Trajectories for Air Traffic Management.

Tobias Stollenwerk, Bryan O'Gorman, Davide Venturelli, Salvatore Mandrà, Olga Rodionova, Hokkwan Ng, Banavar Sridhar, Eleanor Gilbert Rieffel, Rupak Biswas

IEEE Trans. Intell. Transp. Syst., 2020

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

Minsung Kim, Davide Venturelli, Kyle Jamieson

Proceedings of the HotNets '20: The 19th ACM Workshop on Hot Topics in Networks, 2020

Planning for Compilation of a Quantum Algorithm for Graph Coloring.

Minh Do, Zhihui Wang, Bryan O'Gorman, Davide Venturelli, Eleanor Gilbert Rieffel, Jeremy Frank

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Integer Programming Techniques for Minor-Embedding in Quantum Annealers.

David E. Bernal, Kyle E. C. Booth, Raouf Dridi, Hedayat Alghassi, Sridhar R. Tayur, Davide Venturelli

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2020

2019

Reverse quantum annealing approach to portfolio optimization problems.

Davide Venturelli, Alexei Kondratyev

Quantum Mach. Intell., 2019

From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz.

Stuart Hadfield, Zhihui Wang, Bryan O'Gorman, Eleanor Gilbert 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

Proceedings of the ACM Special Interest Group on Data Communication, 2019

2018

Scaling advantages of all-to-all connectivity in physical annealers: the Coherent Ising Machine vs. D-Wave 2000Q.

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, Eleanor Gilbert Rieffel, Hiroki Takesue, Yoshihisa Yamamoto

CoRR, 2018

Comparing and Integrating Constraint Programming and Temporal Planning for Quantum Circuit Compilation.

Kyle E. C. Booth, Minh Do, J. Christopher Beck, Eleanor Gilbert Rieffel, Davide Venturelli, Jeremy Frank

Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018

2017

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-Gomez, Eleanor Gilbert Rieffel, Davide Venturelli, Fedir Vasko, Zhihui Wang

Parallel Comput., 2017

Compiling Quantum Circuits to Realistic Hardware Architectures using Temporal Planners.

Davide Venturelli, Minh Do, Eleanor Gilbert Rieffel, Jeremy Frank

CoRR, 2017

Temporal Planning for Compilation of Quantum Approximate Optimization Circuits.

Davide Venturelli, Minh Do, Eleanor Gilbert Rieffel, Jeremy Frank

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Comparing planning problem compilation approaches for quantum annealing.

Bryan O'Gorman, Eleanor Gilbert Rieffel, Minh Do, Davide Venturelli, Jeremy Frank

Knowl. Eng. Rev., 2016

A Hybrid Quantum-Classical Approach to Solving Scheduling Problems.

Tony T. Tran, Minh Do, Eleanor Gilbert Rieffel, Jeremy Frank, Zhihui Wang, Bryan O'Gorman, Davide Venturelli, J. Christopher Beck

Proceedings of the Ninth Annual Symposium on Combinatorial Search, 2016

Explorations of Quantum-Classical Approaches to Scheduling a Mars Lander Activity Problem.

Tony T. Tran, Zhihui Wang, Minh Do, Eleanor Gilbert Rieffel, Jeremy Frank, Bryan O'Gorman, Davide Venturelli, J. Christopher Beck

Proceedings of the Planning for Hybrid Systems, 2016

2015

A case study in programming a quantum annealer for hard operational planning problems.

Eleanor Gilbert Rieffel, Davide Venturelli, Bryan O'Gorman, Minh Do, Elicia M. Prystay, Vadim Smelyanskiy

Quantum Inf. Process., 2015

2014

Parametrized Families of Hard Planning Problems from Phase Transitions.

Eleanor Gilbert Rieffel, Davide Venturelli, Minh Do, Itay Hen, Jeremy Frank

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014