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265 papers · 1 filter
Machine learning with minimal use of quantum computers: Provable advantages in Learning Under Quantum Privileged Information (LUQPI)
Vasily Bokov, Lisa Kohl, Sebastian Schmitt +1
Quantum machine learning (QML) is often listed as a promising candidate for useful applications of quantum computers, in part due to numerous proofs of possible quantum advantages.…
Adaptive quantum phase estimation can be better than non-adaptive
Noah Linden, Ronald de Wolf
Quantum phase estimation is one of the most important tools in quantum algorithms. It can be made non-adaptive (meaning all applications of the unitary happen simultaneously)…
Clifford testing: algorithms and lower bounds
Marcel Hinsche, Zongbo Bao, Philippe van Dordrecht +3
We consider the problem of Clifford testing, which asks whether a black-box -qubit unitary is a Clifford unitary or at least -far from every Clifford unitary. We gi…
Certifying and learning quantum Ising Hamiltonians
Andreas Bluhm, Matthias C. Caro, Francisco Escudero Gutiérrez +2
In this work, we study the problems of certifying and learning quantum Ising Hamiltonians. Our main contributions are as follows: Certification of Ising Hamiltonians. We show that…
How to use quantum computers for biomolecular free energies
Jakob Günther, Thomas Weymuth, Moritz Bensberg +18
Free energy calculations are at the heart of physics-based analyses of biochemical processes. They allow us to quantify molecular recognition mechanisms, which determine a wide ran…
Getting almost all the bits from a quantum random access code
Han-Hsuan Lin, Ronald de Wolf
A quantum random access code (QRAC) is a map that encodes -bit strings into -qubit quantum states , in a way that allows us to recover any one bit of $…