From the 1 of 5 linked papers with an AI index.
5 papers
Observable Estimation in the Absence of Classical Verification
Samantha V. Barron, Bradley Mitchell, Vinay Tripathi +45
The paper proposes a framework to independently validate observable estimates from quantum computers when classical benchmarks are unavailable, using experiments such as the operat…
Pauli Propagation: A Computational Framework for Simulating Quantum Systems
Manuel S. Rudolph, Tyson Jones, Yanting Teng +2
Classical methods to simulate quantum systems are not only a key element of the physicist's toolkit for studying many-body models but are also increasingly important for verifying…
Leveraging Symmetry Merging in Pauli Propagation
Yanting Teng, Su Yeon Chang, Manuel S. Rudolph +1
We introduce a symmetry-adapted framework for simulating quantum dynamics based on Pauli propagation. When a quantum circuit possesses a symmetry, many Pauli strings evolve redunda…
Learning topological states from randomized measurements using variational tensor network tomography
Yanting Teng, Rhine Samajdar, Katherine Van Kirk +5
Learning faithful representations of quantum states is crucial to fully characterizing the variety of many-body states created on quantum processors. While various tomographic meth…
Derandomized shallow shadows: Efficient Pauli learning with bounded-depth circuits
Katherine Van Kirk, Christian Kokail, Jonathan Kunjummen +7
Efficiently estimating large numbers of non-commuting observables is an important subroutine of many quantum science tasks. We present the derandomized shallow shadows (DSS) algori…