2 citations · 3 across the 3 of their papers we have counts for
5 papers
Single-Particle Spectral Estimation
Adrian Chapman, Charles Derby, Steven T. Flammia +3
We study Hamiltonian learning in a novel setting, where we are promised a physical structure that is obfuscated by a global unitary. In particular, we consider the task of learning…
Learning SYK Hamiltonians
Anurag Anshu, Srinivasan Arunachalam, Sitan Chen +1
We study the problem of learning the dense Sachdev--Ye--Kitaev (SYK) Hamiltonian from copies of its Gibbs state. Existing algorithms for Hamiltonian learning typically rely on geom…
A quantum oracle separation between QMA(2) and QMA
John Bostanci, Sabee Grewal, Jonas Haferkamp +4
We find a quantum oracle relative to which . As a consequence, we resolve the no-disentanglers conjecture of Watrous: for every , any $(ε,…
Commuting Local Hamiltonians Beyond 2D
John Bostanci, Yeongwoo Hwang
Commuting local Hamiltonians provide a testing ground for studying many of the most interesting open questions in quantum information theory, including the quantum PCP conjecture a…
Gibbs state preparation for commuting Hamiltonian: Mapping to classical Gibbs sampling
Yeongwoo Hwang, Jiaqing Jiang
Gibbs state preparation, or Gibbs sampling, is a key computational technique extensively used in physics, statistics, and other scientific fields. Recent efforts for designing fast…