4 papers
Parametric Quantum State Tomography with HyperRBMs
Simon Tonner, Viet T. Tran, Richard Kueng
Quantum state tomography (QST) is essential for validating quantum devices but suffers from exponential scaling in system size. Neural-network quantum states, such as Restricted Bo…
An infinite hierarchy of multi-copy quantum learning tasks
Jan Nöller, Viet T. Tran, Mariami Gachechiladze +1
Learning properties of quantum states from measurement data is a fundamental challenge in quantum information. The sample complexity of such tasks depends crucially on the measurem…
One, Two, Three: One empirical evaluation of a two-copy shadow tomography scheme with triple efficiency
Viet T. Tran, Richard Kueng
Shadow tomography protocols have recently emerged as powerful tools for efficient quantum state learning, aiming to reconstruct expectation values of observables with fewer resourc…
Solving quadratic binary optimization problems using quantum SDP methods: Non-asymptotic running time analysis
Fabian Henze, Viet Tran, Birte Ostermann +3
Quantum computers can solve semidefinite programs (SDPs) using resources that scale better than state-of-the-art classical methods as a function of the problem dimension. At the sa…