#quantum state tomography

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6 papers match

quant-ph2026

The Keyl-Werner algorithm is not optimal for spectrum estimation

Angelos Pelecanos, Jack Spilecki, Ewin Tang +1

The paper presents a new algorithm that estimates the eigenvalues of a quantum state using fewer copies than the traditional Keyl‑Werner method, achieving constant error with O(d^2…

#spectrum estimation#quantum state tomography#eigenvalue estimation#algorithmic sample complexity
quant-ph2026

Demonstration of tripartite cat states in two distinct classes of entanglement

May Chee Loke, Jonathan Schwinger, Kehui Yu +4

The authors experimentally generate and characterize macroscopic tripartite entangled cat states of two inequivalent classes (GHZ-cat and W-cat) across three microwave resonators u…

#multipartite entanglement#continuous-variable quantum optics#cat states#superconducting circuits
quant-ph2026

An HHL-Based Quantum-Classical Solver for the Incompressible Navier-Stokes Equations with Approximate QST

Moshe Inger, Steven Frankel

The paper integrates the Harrow‑Hassidim‑Lloyd quantum linear solver with a discretized incompressible Navier‑Stokes formulation and uses an approximate quantum state tomography me…

#quantum algorithms#navier-stokes#fluid dynamics#quantum state tomography
quant-ph2026

Identifiability of Autonomous and Controlled Open Quantum Systems

Waqas Parvaiz, Johannes Aspman, Ales Wodecki +2

The paper studies how to determine (identify) the dynamics of autonomous and controlled open quantum systems by linking their master equations to classical linear and bilinear syst…

#open quantum systems#system identification#quantum state tomography#master equations
quant-ph2026

Fixed-Protocol Amortized MPS Tomography with Conformalized Predictive Uncertainty

Jian Xu, Delu Zeng, John Paisley +1

The paper introduces a fixed‑protocol amortized estimator for matrix‑product‑state quantum tomography that leverages an informative local Pauli measurement design and a gauge‑invar…

#quantum state tomography#matrix product states#amortized inference#conformal prediction
quant-ph2026

Optimal tomography of bosonic and fermionic Gaussian states

Senrui Chen, Marco Fanizza, Filippo Girardi +4

The paper determines the exact sample complexity for learning bosonic and fermionic Gaussian quantum states, showing that a number of copies scaling quadratically with the number o…

#quantum state tomography#bosonic gaussian states#fermionic gaussian states#sample complexity