From the 2 of 16 linked papers with an AI index.
2 citations · 3 across the 7 of their papers we have counts for
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Optimal Quantum Algorithm for Ground-State Energy Estimation with a Guiding State
Stacey Jeffery, Freek Witteveen
In the problem of ground-state energy estimation, one aims to estimate the smallest eigenvalue of a Hamiltonian, often given a guiding state, with some promised overlap with th…
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…