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ORCIDDavide Venturelli
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2020 – today
- 2024
[j15]David E. Bernal Neira, Carl D. Laird, Laurens Lueg
, Stuart M. Harwood, Dimitar Trenev, Davide Venturelli:
Utilizing modern computer architectures to solve mathematical optimization problems: A survey. Comput. Chem. Eng. 184: 108627 (2024)- [j14]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:
Assessing and advancing the potential of quantum computing: A NASA case study. Future Gener. Comput. Syst. 160: 598-618 (2024) - [j13]Robin A. Brown, David Esteban Bernal Neira, Davide Venturelli, Marco Pavone:
A Copositive Framework for Analysis of Hybrid Ising-Classical Algorithms. SIAM J. Optim. 34(2): 1455-1489 (2024) - [j12]Abhishek Kumar Singh, Ari Kapelyan, Minsung Kim, Davide Venturelli, Peter L. McMahon, Kyle Jamieson:
Uplink MIMO Detection Using Ising Machines: A Multi-Stage Ising Approach. IEEE Trans. Wirel. Commun. 23(11): 17037-17053 (2024) - [c16]Robin A. Brown, Davide Venturelli, Marco Pavone, David E. Bernal Neira:
Accelerating Continuous Variable Coherent Ising Machines via Momentum. CPAIOR (1) 2024: 109-126 - [c15]Immanuel Trummer, Davide Venturelli:
Leveraging Quantum Computing for Database Index Selection. Q-DATA@SIGMOD 2024 - [i18]Robin A. Brown, Davide Venturelli, Marco Pavone, David Esteban Bernal Neira:
Accelerating Continuous Variable Coherent Ising Machines via Momentum. CoRR abs/2401.12135 (2024) - [i17]David Esteban Bernal Neira, Robin A. Brown, Pratik Sathe, Filip A. Wudarski, Marco Pavone, Eleanor Gilbert Rieffel, Davide Venturelli:
Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications. CoRR abs/2402.10255 (2024) - [i16]Minsung Kim, Abhishek Kumar Singh, Davide Venturelli, John Kaewell, Kyle Jamieson:
X-ResQ: Reverse Annealing for Quantum MIMO Detection with Flexible Parallelism. CoRR abs/2402.18778 (2024) - [i15]Mert Esencan, Tarun Advaith Kumar, Ata Akbari Asanjan, P. Aaron Lott, Masoud Mohseni, Can Unlu, Davide Venturelli, Alan Ho:
Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization. CoRR abs/2407.00071 (2024) - 2023
- [j11]Bibek Pokharel, Zoe Gonzalez Izquierdo, Paul Aaron Lott, Elena Strbac, Krzysztof Osiewalski, Emmanuel Papathanasiou, Alexei Kondratyev, Davide Venturelli, Eleanor Gilbert Rieffel:
Inter-generational comparison of quantum annealers in solving hard scheduling problems. Quantum Inf. Process. 22(10): 364 (2023) - [i14]Abhishek Kumar Singh, Ari Kapelyan, Davide Venturelli, Kyle Jamieson:
Uplink MIMO Detection using Ising Machines: A Multi-Stage Ising Approach. CoRR abs/2304.12830 (2023) - [i13]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:
Design and execution of quantum circuits using tens of superconducting qubits and thousands of gates for dense Ising optimization problems. CoRR abs/2308.12423 (2023) - 2022
- [j10]Ryan LaRose, Eleanor Gilbert Rieffel, Davide Venturelli:
Mixer-phaser Ansätze for quantum optimization with hard constraints. Quantum Mach. Intell. 4(2): 1-9 (2022) - [j9]Ryan LaRose, Eleanor Riefel, Davide Venturelli:
Correction to: Mixer‑phaser ansätze for quantum optimization with hard constraints. Quantum Mach. Intell. 4(2): 1 (2022) - [j8]Abhishek Kumar Singh, Kyle Jamieson, Peter L. McMahon, Davide Venturelli:
Ising Machines' Dynamics and Regularization for Near-Optimal MIMO Detection. IEEE Trans. Wirel. Commun. 21(12): 11080-11094 (2022) - [c14]Abhishek Kumar Singh, Kyle Jamieson, Peter L. McMahon, Davide Venturelli:
Regularized Ising Formulation for Near-Optimal MIMO Detection using Quantum Inspired Solvers. GLOBECOM 2022: 2517-2522 - [c13]Abhishek Kumar Singh, Davide Venturelli, Kyle Jamieson:
Perturbation-based Formulation of Maximum Likelihood MIMO Detection for Coherent Ising Machines. GLOBECOM 2022: 2523-2528 - [c12]Minsung Kim, Davide Venturelli, John Kaewell, Kyle Jamieson:
Warm-started quantum sphere decoding via reverse annealing for massive IoT connectivity. MobiCom 2022: 1-14 - [i12]Abhishek Kumar Singh, Davide Venturelli, Kyle Jamieson:
A Finite-Range Search Formulation of Maximum Likelihood MIMO Detection for Coherent Ising Machines. CoRR abs/2205.05020 (2022) - [i11]Robin A. Brown, David Esteban Bernal Neira, Davide Venturelli, Marco Pavone:
Copositive programming for mixed-binary quadratic optimization via Ising solvers. CoRR abs/2207.13630 (2022) - 2021
- [j7]Minsung Kim, Srikar Kasi, Paul Aaron Lott, Davide Venturelli, John Kaewell, Kyle Jamieson:
Heuristic Quantum Optimization for 6G Wireless Communications. IEEE Netw. 35(4): 8-15 (2021) - [c11]Srikar Kasi, Abhishek Kumar Singh, Davide Venturelli, Kyle Jamieson:
Quantum Annealing for Large MIMO Downlink Vector Perturbation Precoding. ICC 2021: 1-6 - [c10]Minsung Kim, Salvatore Mandrà, Davide Venturelli, Kyle Jamieson:
Physics-inspired heuristics for soft MIMO detection in 5G new radio and beyond. MobiCom 2021: 42-55 - [i10]Srikar Kasi, Abhishek Kumar Singh, Davide Venturelli, Kyle Jamieson:
Quantum Annealing for Large MIMO Downlink Vector Perturbation Precoding. CoRR abs/2102.12540 (2021) - [i9]Minsung Kim, Salvatore Mandrà, Davide Venturelli, Kyle Jamieson:
Physics-Inspired Heuristics for Soft MIMO Detection in 5G New Radio and Beyond. CoRR abs/2103.10561 (2021) - [i8]Abhishek Kumar Singh, Kyle Jamieson, Davide Venturelli, Peter L. McMahon:
Ising Machines' Dynamics and Regularization for Near-Optimal Large and Massive MIMO Detection. CoRR abs/2105.10535 (2021) - 2020
- [j6]Tobias Stollenwerk, Bryan O'Gorman, Davide Venturelli, Salvatore Mandrà, Olga Rodionova, Hokkwan Ng, Banavar Sridhar, Eleanor Gilbert Rieffel, Rupak Biswas:
Quantum Annealing Applied to De-Conflicting Optimal Trajectories for Air Traffic Management. IEEE Trans. Intell. Transp. Syst. 21(1): 285-297 (2020) - [c9]David E. Bernal, Kyle E. C. Booth, Raouf Dridi, Hedayat Alghassi, Sridhar R. Tayur, Davide Venturelli:
Integer Programming Techniques for Minor-Embedding in Quantum Annealers. CPAIOR 2020: 112-129 - [c8]Minh Do, Zhihui Wang, Bryan O'Gorman, Davide Venturelli, Eleanor Gilbert Rieffel, Jeremy Frank:
Planning for Compilation of a Quantum Algorithm for Graph Coloring. ECAI 2020: 2338-2345 - [c7]Minsung Kim, Davide Venturelli, Kyle Jamieson:
Towards Hybrid Classical-Quantum Computation Structures in Wirelessly-Networked Systems. HotNets 2020: 110-116 - [i7]Minsung Kim, Davide Venturelli, Kyle Jamieson:
Leveraging Quantum Annealing for Large MIMO Processing in Centralized Radio Access Networks. CoRR abs/2001.04014 (2020) - [i6]Minh Do, Zhihui Wang, Bryan O'Gorman, Davide Venturelli, Eleanor Gilbert Rieffel, Jeremy Frank:
Planning for Compilation of a Quantum Algorithm for Graph Coloring. CoRR abs/2002.10917 (2020) - [i5]Minsung Kim, Davide Venturelli, Kyle Jamieson:
Towards Hybrid Classical-Quantum Computation Structures in Wirelessly-Networked Systems. CoRR abs/2010.00682 (2020)
2010 – 2019
- 2019
- [j5]Stuart Hadfield, Zhihui Wang, Bryan O'Gorman, Eleanor Gilbert Rieffel, Davide Venturelli, Rupak Biswas:
From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz. Algorithms 12(2): 34 (2019) - [j4]Davide Venturelli, Alexei Kondratyev:
Reverse quantum annealing approach to portfolio optimization problems. Quantum Mach. Intell. 1(1-2): 17-30 (2019) - [c6]Minsung Kim, Davide Venturelli, Kyle Jamieson:
Leveraging quantum annealing for large MIMO processing in centralized radio access networks. SIGCOMM 2019: 241-255 - 2018
- [c5]Kyle E. C. Booth, Minh Do, J. Christopher Beck, Eleanor Gilbert Rieffel, Davide Venturelli, Jeremy Frank:
Comparing and Integrating Constraint Programming and Temporal Planning for Quantum Circuit Compilation. ICAPS 2018: 366-374 - [i4]Kyle E. C. Booth, Minh Do, J. Christopher Beck, Eleanor Gilbert Rieffel, Davide Venturelli, Jeremy Frank:
Comparing and Integrating Constraint Programming and Temporal Planning for Quantum Circuit Compilation. CoRR abs/1803.06775 (2018) - [i3]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:
Scaling advantages of all-to-all connectivity in physical annealers: the Coherent Ising Machine vs. D-Wave 2000Q. CoRR abs/1805.05217 (2018) - 2017
- [j3]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:
A NASA perspective on quantum computing: Opportunities and challenges. Parallel Comput. 64: 81-98 (2017) - [c4]Davide Venturelli, Minh Do, Eleanor Gilbert Rieffel, Jeremy Frank:
Temporal Planning for Compilation of Quantum Approximate Optimization Circuits. IJCAI 2017: 4440-4446 - [i2]Davide Venturelli, Minh Do, Eleanor Gilbert Rieffel, Jeremy Frank:
Compiling Quantum Circuits to Realistic Hardware Architectures using Temporal Planners. CoRR abs/1705.08927 (2017) - [i1]Tobias Stollenwerk, Bryan O'Gorman, Davide Venturelli, Salvatore Mandrà, Olga Rodionova, Hokkwan Ng, Banavar Sridhar, Eleanor Gilbert Rieffel, Rupak Biswas:
Quantum Annealing Applied to De-Conflicting Optimal Trajectories for Air Traffic Management. CoRR abs/1711.04889 (2017) - 2016
- [j2]Bryan O'Gorman, Eleanor Gilbert Rieffel, Minh Do, Davide Venturelli, Jeremy Frank:
Comparing planning problem compilation approaches for quantum annealing. Knowl. Eng. Rev. 31(5): 465-474 (2016) - [c3]Tony T. Tran, Zhihui Wang, Minh Do, Eleanor Gilbert Rieffel, Jeremy Frank, Bryan O'Gorman, Davide Venturelli, J. Christopher Beck:
Explorations of Quantum-Classical Approaches to Scheduling a Mars Lander Activity Problem. AAAI Workshop: Planning for Hybrid Systems 2016 - [c2]Tony T. Tran, Minh Do, Eleanor Gilbert Rieffel, Jeremy Frank, Zhihui Wang, Bryan O'Gorman, Davide Venturelli, J. Christopher Beck:
A Hybrid Quantum-Classical Approach to Solving Scheduling Problems. SOCS 2016: 98-106 - 2015
- [j1]Eleanor Gilbert Rieffel, Davide Venturelli, Bryan O'Gorman, Minh Do, Elicia M. Prystay, Vadim Smelyanskiy:
A case study in programming a quantum annealer for hard operational planning problems. Quantum Inf. Process. 14(1): 1-36 (2015) - 2014
- [c1]Eleanor Gilbert Rieffel, Davide Venturelli, Minh Do, Itay Hen, Jeremy Frank:
Parametrized Families of Hard Planning Problems from Phase Transitions. AAAI 2014: 2337-2343
Coauthor Index
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