activity
20122026
most citedSample-efficient learning of quantum many-body systems

131 citations · 1.1k across the 58 of their papers we have counts for

collaborators
Showing 2016Show all

8 papers · 1 filter

quant-ph2016★ 1 cited

An upper bound on quantum capacity of unital channels

Anurag Anshu

We analyze the quantum capacity of a unital quantum channel, using ideas from the proof of near-optimality of Petz recovery map [Barnum and Knill 2000] and give an upper bound on t…

quant-ph2016★ 14 cited

Exponential Separation of Quantum Communication and Classical Information

Anurag Anshu, Dave Touchette, Penghui Yao +1

We exhibit a Boolean function for which the quantum communication complexity is exponentially larger than the classical information complexity. An exponential separation in the oth…

quant-ph2016★ 1 cited

Separating quantum communication and approximate rank

Anurag Anshu, Shalev Ben-David, Ankit Garg +3

One of the best lower bound methods for the quantum communication complexity of a function H (with or without shared entanglement) is the logarithm of the approximate rank of the c…

quant-ph2016★ 12 cited

Contextuality in multipartite pseudo-telepathy graph games

Anurag Anshu, Peter Hoyer, Mehdi Mhalla +1

Analyzing pseudo-telepathy graph games, we propose a way to build contextuality scenarios exhibiting the quantum supremacy using graph states. We consider the combinatorial structu…

quant-ph2016★ 1 cited

Expected communication cost of distributed quantum tasks

Anurag Anshu, Ankit Garg, Aram Harrow +1

A central question in classical information theory is that of source compression, which is the task where Alice receives a sample from a known probability distribution and needs to…

quant-ph2016★ 10 cited

Separations in communication complexity using cheat sheets and information complexity

Anurag Anshu, Aleksandrs Belovs, Shalev Ben-David +5

While exponential separations are known between quantum and randomized communication complexity for partial functions (Raz, STOC 1999), the best known separation between these meas…