Salvatore Mandra, Ph.D. in Theoretical Physics
Affiliations: | Chemistry and Chemical Biology | Harvard University, Cambridge, MA, United States |
Area:
Classical and Quantum Optimization, Spin Glass Theory, Complex SystemsWebsite:
http://aspuru.chem.harvard.edu/salvatore-mandra/Google:
"http://scholar.google.com/citations?user=gYZipm4AAAAJ&hl=en&oi=ao"Mean distance: 13.47 | S | N | B | C | P |
Cross-listing: Chemistry Tree
Parents
Sign in to add mentorSergio Caracciolo | grad student | 2013 | Università degli Studi di Milano |
Alán Aspuru-Guzik | post-doc | 2013- | Harvard (Chemistry Tree) |
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Publications
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Mi X, Roushan P, Quintana C, et al. (2021) Information scrambling in quantum circuits. Science (New York, N.Y.). eabg5029 |
Stollenwerk T, OGorman B, Venturelli D, et al. (2020) Quantum Annealing Applied to De-Conflicting Optimal Trajectories for Air Traffic Management Ieee Transactions On Intelligent Transportation Systems. 21: 285-297 |
Villalonga B, Lyakh D, Boixo S, et al. (2020) Establishing the quantum supremacy frontier with a 281 Pflop/s simulation Quantum Science and Technology. 5: 034003 |
Arute F, Arya K, Babbush R, et al. (2019) Quantum supremacy using a programmable superconducting processor. Nature. 574: 505-510 |
Ochoa AJ, Jacob DC, Mandrà S, et al. (2019) Feeding the multitude: A polynomial-time algorithm to improve sampling. Physical Review. E. 99: 043306 |
Villalonga B, Boixo S, Nelson B, et al. (2019) A flexible high-performance simulator for verifying and benchmarking quantum circuits implemented on real hardware Npj Quantum Information. 5: 86 |
Mandrà S, Katzgraber HG. (2018) A deceptive step towards quantum speedup detection Quantum Science and Technology. 3: 04LT01 |
Mandrà S, Zhu Z, Katzgraber HG. (2017) Exponentially Biased Ground-State Sampling of Quantum Annealing Machines with Transverse-Field Driving Hamiltonians. Physical Review Letters. 118: 070502 |
Mandrà S, Katzgraber HG, Thomas C. (2017) The pitfalls of planar spin-glass benchmarks: raising the bar for quantum annealers (again) Quantum Science and Technology. 2: 038501 |
Mandrà S, Zhu Z, Wang W, et al. (2016) Strengths and weaknesses of weak-strong cluster problems: A detailed overview of state-of-the-art classical heuristics versus quantum approaches Physical Review A. 94 |