Matthias Rosenkranz
@mrosenkranz.bsky.social
210 followers 170 following 17 posts
Team lead quantum algorithms at Quantinuum. Formerly ultracold atoms and quant finance. He/him. https://mathstodon.xyz/@rosenkranz
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mrosenkranz.bsky.social
To be fair, the DQI paper didn't claim an advantage for Maxcut but suggested one for a different problem
mrosenkranz.bsky.social
Our paper elucidating resources required for quantum Gibbs state preparation via Lindblad simulation is now published in @quantum-journal.bsky.social

quantum-journal.org/papers/q-202...
Reposted by Matthias Rosenkranz
rossquantum.bsky.social
🧵 1/? Today #quantinuum announced Guppy, the new programming language my team has been developing, and Selene the new simulator that goes with it. This is the software stack that supports our new Helios #quantum computer, and it successors. #quantumcomputing

www.quantinuum.com/blog/built-f...
Built for All: Introducing Our New Software Stack
Our next-generation quantum computer, Helios, will come online this year as more than a new chip. It will arrive as a full-stack platform that sets a new standard for the industry.
www.quantinuum.com
Reposted by Matthias Rosenkranz
arosmanis.bsky.social
Our latest paper is out. In a joint work with Marcello Benedetti and Matthias Rosenkranz ( @mrosenkranz.bsky.social ) , we present a new quantum algorithm for solving Lyapunov equations.
scirate.com/arxiv/2508.0...
arxiv.org/abs/2508.04689
mrosenkranz.bsky.social
Happy that our paper on state preparation for multivariate functions is out in @quantum-journal.bsky.social. We've also open sourced the code. Give it a go in your algorithm: github.com/CQCL/mvsp
Reposted by Matthias Rosenkranz
cristinacirstoiu.bsky.social
Hi #quantum bluesky 👋 In arxiv.org/abs/2503.20870 with #Quantinuum, Fermioniq, Caltech, EPFL, TUM we show Quantinuum's H2 ion-trap #quantumcomputer can simulate dynamical evolution of a 2D Ising model at late times and sizes pushing beyond classical means(MPS, PEPS, sparse Pauli propagation, NN).
Digital quantum magnetism at the frontier of classical simulations
The utility of near-term quantum computers for simulating realistic quantum systems hinges on the stability of digital quantum matter--realized when discrete quantum gates approximate continuous time ...
arxiv.org
mrosenkranz.bsky.social
Here's one from our algorithms team and QuSoft/CWI
arxiv-quant-ph.bsky.social
Marcello Benedetti, Harry Buhrman, Jordi Weggemans
Complement Sampling: Provable, Verifiable and NISQable Quantum Advantage in Sample Complexity
https://arxiv.org/abs/2502.08721
Reposted by Matthias Rosenkranz
chbaldwin.bsky.social
If you’re running randomized benchmarking on your quantum computer, stop and read our paper!

arxiv.org/pdf/2502.00154
arxiv.org
Reposted by Matthias Rosenkranz
qctip2025.bsky.social
The deadline for talk submissions at QCTiP 2025 is coming up! Consider submitting a talk until January 10.
mrosenkranz.bsky.social
We see this is a step towards implementing recent quantum Gibbs sampling algorithms on quantum hardware.

Many thanks for the fantastic work to my co-authors Eric Brunner, Luuk Coopmans, Gabriel Matos, Fred Sauvage and Yuta Kikuchi, all @quantinuum.bsky.social
mrosenkranz.bsky.social
Finally, we analyse algorithmic errors by simulating the full quantum circuits. Circuit simulations with a noise model confirm the trade-off between algorithmic errors and noise, whereby a larger Trotter time step can lead to smaller overall error.
mrosenkranz.bsky.social
Then we analyse analytically and numerically convergence, mixing time, spectral gap etc. for a mixed-field Ising model and random k-local Pauli jump operators. We also find a certain noise resilience of the protocol at relevant error rates
mrosenkranz.bsky.social
We propose a simplified Lindblad simulation algorithm combining various earlier ideas, e.g. the Chen et al. quantum thermal state preparation algorithm, QDrift-like randomized jump operators, a single-ancilla protocol for the dissipative term, ETH for good convergence and simpler coherent term etc.
mrosenkranz.bsky.social
Very happy that our new paper on quantum Gibbs state preparation is out today 🎅

scirate.com/arxiv/2412.1...

We hope this bridges the gap between the recent theoretical advances in Lindblad simulation algorithms for quantum Gibbs sampling and their eventual quantum hardware implementation.
Lindblad engineering for quantum Gibbs state preparation under the eigenstate thermalization hypothesis
Building upon recent progress in Lindblad engineering for quantum Gibbs state preparation algorithms, we propose a simplified protocol that is shown to be efficient under the eigenstate thermalization...
scirate.com
Reposted by Matthias Rosenkranz
Interesting question by Mark Wilde on Twitter:
There have been many breakthrough algorithms for thermal state preparation recently. Does any of them prepare a canonical purification of a thermal state? i.e, the following state
(\sqrt{e^{-H}/Z} ⊗ I) ∑_i |i⟩ ⊗ |i⟩
with |i⟩ = computational basis
mrosenkranz.bsky.social
I would include Spiti Valley (Himachal Pradesh, India).

Besides the spectacular landscape, places like Tabo Monastery hold beautiful frescoes some of which date to ~1000 CE
Overlooking a snow-covered landscape with white mountains in the background and Tibetan prayer flags on a pole in the foreground Key Gompa (monastery) against a mountain backdrop Stupas at Tabo monastery A turquoise Spiti river running through a valley with shrubs on the left and snow-capped mountains in the distance
Reposted by Matthias Rosenkranz
qctip2025.bsky.social
Submissions for QCTiP 2025 are now open.
Reposted by Matthias Rosenkranz