christandl.bsky.social
Matthias Christandl
@christandl.bsky.social
110 followers 15 following 2 posts
Quantum Computing & Quantum Information @ University of Copenhagen
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christandl.bsky.social
Matthias Christandl @christandl.bsky.social · Jun 26
Looks like it was cloned. 7 clones should only have a fidelity of O(1/7) or so? Maybe not so Quantum after all....
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christandl.bsky.social
Matthias Christandl @christandl.bsky.social · Jun 26
If quantum computers are to deliver benefit to biochemistry, they are not going to work in isolation. With FreeQuantum we provide, implement and demonstrate a computational pipeline for computing free energies of biomolecular systems. It is quantum-ready! arxiv.org/abs/2506.20587
How to use quantum computers for biomolecular free energies
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 range of biological phe...
arxiv.org
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Reposted by Matthias Christandl
quantumearl.bsky.social
Earl Campbell @quantumearl.bsky.social · May 18
I love catching up on my “to read” list of papers on planes.  And today found time to read some recent work on randomized phase estimation arxiv.org/abs/2503.05647 from Gunther et al
Phase estimation with partially randomized time evolution
Quantum phase estimation combined with Hamiltonian simulation is the most promising algorithmic framework to computing ground state energies on quantum computers. Its main computational overhead deriv...
arxiv.org
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Reposted by Matthias Christandl
jenseisert.bsky.social
Jens Eisert @jenseisert.bsky.social · Apr 24
The second morning session at #QCTiP2025 featured quantum phase estimation, Hamiltonian simulation, shortest vector problems, verified quantum computing and gates, and entanglement theory by Laura Clinton, Jakob Günther, Joao Doriguello, Christopher Vairogs, Nikolai Mirklin, and Daniel Mills.
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