most citedQuantum supremacy with analog quantum processors for material science and machine learning

4 citations · 4 across the 1 of their papers we have counts for

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quant-ph2025

A unifying account of warm start guarantees for patches of quantum landscapes

Hela Mhiri, Ricard Puig, Sacha Lerch +4

Barren plateaus are fundamentally a statement about quantum loss landscapes on average but there can, and generally will, exist patches of barren plateau landscapes with substantia…

quant-ph20231 cited

A Unified Framework for Trace-induced Quantum Kernels

Beng Yee Gan, Daniel Leykam, Supanut Thanasilp

Quantum kernel methods are promising candidates for achieving a practical quantum advantage for certain machine learning tasks. Similar to classical machine learning, an exact form…

quant-ph2020

Quantum supremacy and quantum phase transitions

Supanut Thanasilp, Jirawat Tangpanitanon, Marc-Antoine Lemonde +2

Demonstrating the ability of existing quantum platforms to perform certain computational tasks intractable to classical computers represents a cornerstone in quantum computing. Des…

quant-ph2020

Expressibility and trainability of parameterized analog quantum systems for machine learning applications

Jirawat Tangpanitanon, Supanut Thanasilp, Ninnat Dangniam +2

Parameterized quantum evolution is the main ingredient in variational quantum algorithms for near-term quantum devices. In digital quantum computing, it has been shown that random…

quant-ph20194 cited

Quantum supremacy with analog quantum processors for material science and machine learning

Jirawat Tangpanitanon, Supanut Thanasilp, Marc-Antoine Lemonde +1

Quantum supremacy is the ability of quantum processors to outperform classical computers at certain tasks. In digital random quantum circuit approaches for supremacy, the output di…