387 citations
- Fermi National Accelerator LaboratoryUS16 papers
- Ames National LaboratoryUS11 papers
- Ames Research CenterUS10 papers
- University of Colorado BoulderUS10 papers
- National Institute of Standards and TechnologyUS9 papers
- Northwestern UniversityUS9 papers
- Iowa State UniversityUS8 papers
- Research Institute for Advanced Computer ScienceUS7 papers
- Lawrence Berkeley National LaboratoryUS5 papers
- Lawrence Livermore National LaboratoryUS5 papers
- Louisiana State UniversityUS5 papers
- University of California, BerkeleyUS4 papers
59 papers · 1 filter
Simulating plasma wave propagation on a superconducting quantum chip
Bhuvanesh Sundar, Bram Evert, Vasily Geyko +3
Quantum computers may one day enable the efficient simulation of strongly coupled plasmas that lie beyond the reach of classical computation in regimes where quantum effects are im…
Optimization via Quantum Preconditioning
Maxime Dupont, Tina Oberoi, Bhuvanesh Sundar
State-of-the-art classical optimization solvers set a high bar for quantum computers to deliver utility in this domain. Here, we introduce a quantum preconditioning approach based…
Cryogenic Thermal Modeling of Microwave High Density Signaling
Naomi Raicu, Tom Hogan, Xian Wu +4
Superconducting quantum computers require microwave control lines running from room temperature to the mixing chamber of a dilution refrigerator. Adding more lines without prelimin…
Qubit-efficient quantum combinatorial optimization solver
Bhuvanesh Sundar, Maxime Dupont
Quantum optimization solvers typically rely on one-variable-to-one-qubit mapping. However, the low qubit count on current quantum computers is a major obstacle in competing against…
Superconducting qubits in the millions: the potential and limitations of modularity
S. N. Saadatmand, Tyler L. Wilson, Mark J. Hodson +11
The development of fault-tolerant quantum computers (FTQCs) is receiving increasing attention within the quantum computing community. Like conventional digital computers, FTQCs, wh…
Benchmarking Quantum Optimization for the Maximum-Cut Problem on a Superconducting Quantum Computer
Maxime Dupont, Bhuvanesh Sundar, Bram Evert +4
Achieving high-quality solutions faster than classical solvers on computationally hard problems is a challenge for quantum optimization to deliver utility. Using a superconducting…