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20232026
most citedChallenges and Opportunities in Quantum Optimization

181 citations · 333 across the 18 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

quant-ph2024★ 7 cited

Genuine Multipartite Entanglement in Quantum Optimization

Gopal Chandra Santra, Sudipto Singha Roy, Daniel J. Egger +1

The ability to generate bipartite entanglement in quantum computing technologies is widely regarded as pivotal. However, the role of genuinely multipartite entanglement is much les…

quant-ph2024★ 15 cited

Learning How to Dynamically Decouple

Arefur Rahman, Daniel J. Egger, Christian Arenz

Current quantum computers suffer from noise that stems from interactions between the quantum system that constitutes the quantum device and its environment. These interactions can…

quant-ph2024★ 28 cited

Benchmarking digital quantum simulations above hundreds of qubits using quantum critical dynamics

Alexander Miessen, Daniel J. Egger, Ivano Tavernelli +1

The real-time simulation of large many-body quantum systems is a formidable task, that may only be achievable with a genuine quantum computational platform. Currently, quantum hard…

quant-ph2024★ 53 cited

Combining quantum processors with real-time classical communication

Almudena Carrera Vazquez, Caroline Tornow, Diego Riste +3

Quantum computers process information with the laws of quantum mechanics. Current quantum hardware is noisy, can only store information for a short time, and is limited to a few qu…

math.OC2024★ 5 cited

Optimized Noise Suppression for Quantum Circuits

Friedrich Wagner, Daniel J. Egger, Frauke Liers

Quantum computation promises to advance a wide range of computational tasks. However, current quantum hardware suffers from noise and is too small for error correction. Thus, accur…