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Patrick Hayden

Researcher at Stanford University

Publications -  177
Citations -  11643

Patrick Hayden is an academic researcher from Stanford University. The author has contributed to research in topics: Quantum information & Quantum entanglement. The author has an hindex of 48, co-authored 177 publications receiving 10034 citations. Previous affiliations of Patrick Hayden include California Institute of Technology & Canadian Institute for Advanced Research.

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Multiboundary Wormholes and Holographic Entanglement

TL;DR: In this paper, the authors consider entangled states in the $n$-fold tensor product of a 1 + 1 dimensional CFT Hilbert space defined by the Euclidean path integral over a Riemann surface with n holes.
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Universal entanglement transformations without communication

TL;DR: In this paper, it was shown that in the presence of finite catalysts, any pure bipartite entangled state can be converted into any other, to unlimited accuracy, without the use of any communication, quantum or classical.
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Capacity theorems for quantum multiple-access channels: classical-quantum and quantum-quantum capacity regions

TL;DR: This paper gives multiletter characterizations of two different two-dimensional capacity regions for an arbitrary quantum channels with two senders and one receiver, and states that the coherent information over any degradable channel is concave in the input density operator.
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Quantum Broadcast Channels

TL;DR: This work extends the technique of superposition coding to quantum channels with a classical input to give a general achievable region and uses state merging to give achievable rates for establishing bipartite entanglement between different pair of parties with the assistance of free classical communication.
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Generalized remote state preparation: Trading cbits, qubits, and ebits in quantum communication

TL;DR: A formula for the triple resource trade-offs is presented that reduces its calculation to evaluating the data compression trade-off formula and also constructs protocols achieving all the optimal points.