10 citations · 10 across the 2 of their papers we have counts for
15 papers
The Complexity of Dynamical Correlators: Operator Shadows and Exponential Learning Separations
Shao-Hen Chiew, Armando Angrisani, Zoe Holmes
Quantum platforms can realize many-body dynamics beyond classical simulation yet complete readout remains intractable: the cost of extracting accessible information scales exponent…
Noise-induced shallow circuits and absence of barren plateaus
Antonio Anna Mele, Armando Angrisani, Soumik Ghosh +4
Motivated by realistic hardware considerations of the pre-fault-tolerant era, we comprehensively study the impact of uncorrected noise on quantum circuits. We first show that in th…
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…
On the Complexity of Quantum States and Circuits from the Orthogonal and Symplectic Groups
Oxana Shaya, Zoë Holmes, Christoph Hirche +1
Understanding the complexity of quantum states and circuits is a central challenge in quantum information science, with broad implications in many-body physics, high-energy physics…
Coherent-State Propagation: A Computational Framework for Simulating Bosonic Quantum Systems
Nikita Guseynov, Zoë Holmes, Armando Angrisani
We introduce coherent-state propagation, a computational framework for simulating bosonic systems. We focus on bosonic circuits composed of displaced linear optics augmented by Ker…
Quantum simulation in the Heisenberg picture via vectorization
Shao-Hen Chiew, Armando Angrisani, Zoë Holmes +1
We present a general framework for simulating quantum systems in the Heisenberg picture on quantum hardware. Based on the vectorization map, our framework fully exploits the mappin…