Armando Angrisani
@acl_angrisani
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Postdoc at @QSECenter_EPFL He/him
Joined December 2019
@quantian1 For simpler noise models (yet realistic for some devices), similar results have been established for arbitrary circuits applied on random input states :
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RT @MvsCerezo: Another amazing paper from our Summer School student @QuAntonioMele (is that 3 papers already form the school?!), and from o…
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@QuantumManuel Taken together, these works close a gap in understanding the link between barren plateaus and classical simulability. While non-unital noise enhances trainability by avoiding barren plateaus, we also prove it enables efficient classical simulation of generic circuits!
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RT @q_pvricard: Have you ever wondered how much work can be offloaded from quantum computers when simulating an expectation landscape of a…
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RT @PennyLaneAI: Last week, Angrisani et al. showed that a classical simulation technique can efficiently estimate expectation values of ma…
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RT @qZoeHolmes: Hey we've proven that weight-truncated Pauli propagation doesn't just work for noisy circuits... but also typical paramete…
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