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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…
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…
Thermal State Simulation with Pauli and Majorana Propagation
Manuel S. Rudolph, Armando Angrisani, Andrew Wright +3
We introduce a propagation-based approach to thermal state simulation by adapting Pauli and Majorana propagation to imaginary-time evolution in the Schrödinger picture. Our key obs…
When quantum resources backfire: Non-gaussianity and symplectic coherence in noisy bosonic circuits
Varun Upreti, Ulysse Chabaud, Zoë Holmes +1
Analyzing the impact of noise is of fundamental importance to understand the advantages provided by quantum systems. While the classical simulability of noisy discrete-variable sys…
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…