3.4k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- City University of New YorkUS566 papers
- The Graduate Center, CUNYUS277 papers
- Yale UniversityUS182 papers
- Brookhaven National LaboratoryUS162 papers
- University of California, BerkeleyUS136 papers
- Lawrence Berkeley National LaboratoryUS130 papers
- The University of Texas at AustinUS130 papers
- University of WashingtonUS130 papers
- Indiana University BloomingtonUS119 papers
- Argonne National LaboratoryUS118 papers
- Max Planck Institute for PhysicsDE116 papers
- The Ohio State UniversityUS116 papers
5 papers · 2 filters
On the approximability of random-hypergraph MAX-3-XORSAT problems with quantum algorithms
Eliot Kapit, Brandon A. Barton, Sean Feeney +5
A canonical feature of the constraint satisfaction problems in NP is approximation hardness, where in the worst case, finding sufficient-quality approximate solutions is exponentia…
Simulating polaritonic ground states on noisy quantum devices
Mohammad Hassan, Fabijan Pavošević, Derek S. Wang +1
The recent advent of quantum algorithms for noisy quantum devices offers a new route toward simulating strong light-matter interactions of molecules in optical cavities for polarit…
NISQ-compatible approximate quantum algorithm for unconstrained and constrained discrete optimization
M. R. Perelshtein, A. I. Pakhomchik, Ar. A. Melnikov +7
Quantum algorithms are getting extremely popular due to their potential to significantly outperform classical algorithms. Yet, applying quantum algorithms to optimization problems…
Ab initio calculations of quantum light-matter interactions in general electromagnetic environments
Mark Kamper Svendsen, Kristian Sommer Thygesen, Angel Rubio +1
The emerging field of strongly coupled light-matter systems has drawn significant attention in recent years due to the prospect of altering physical and chemical properties of mole…
Potential quantum advantage for simulation of fluid dynamics
Xiangyu Li, Xiaolong Yin, Nathan Wiebe +4
Numerical simulation of turbulent fluid dynamics needs to either parameterize turbulence-which introduces large uncertainties-or explicitly resolve the smallest scales-which is pro…