From the 2 of 14 linked papers with an AI index.
2 citations · 3 across the 3 of their papers we have counts for
14 papers
phase2: Full-State Vector Simulation of Quantum Time Evolution at Scale
Marek Miller, Jakob Günther, Freek Witteveen +5
phase2 is a full-state-vector quantum simulator that efficiently handles many-qubit Pauli rotation circuits on distributed CPU/GPU clusters, achieving large speedups and scaling to…
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…
Phase estimation with partially randomized time evolution
Jakob Günther, Freek Witteveen, Alexander Schmidhuber +3
Quantum phase estimation combined with Hamiltonian simulation is the most promising algorithmic framework to computing ground state energies on quantum computers. Its main computat…
Approximate QCAs in one dimension using approximate algebras
Daniel Ranard, Michael Walter, Freek Witteveen
Quantum cellular automata (QCAs) are automorphisms of tensor product algebras that preserve locality, with local quantum circuits as a simple example. We study approximate QCAs, wh…
Randomized truncation of quantum states
Aram W. Harrow, Angus Lowe, Freek Witteveen
A fundamental task in quantum information is to approximate a pure quantum state in terms of sparse states or, for a bipartite system, states of bounded Schmidt rank. The optimal d…
A random purification channel for arbitrary symmetries with applications to fermions and bosons
Michael Walter, Freek Witteveen
The random purification channel maps n copies of any mixed quantum state to n copies of a random purification of the state. We generalize this construction to arbitrary symmetries:…