María Gragera Garcés

María Gragera Garcés

@grageragarces.github.io

Building distributed quantum systems PhD student in quantum @Uni of Edinburgh Quantum, Food and Books Previously: Quantinuum, IBM Q & Cisco R&D Also find me in : https://linktr.ee/grageragarces

505 followers614 following280 posts

María Gragera Garcés
@grageragarces.github.io

The cold weather has set in and somehow I’m 50% through driving test theory questions and I submitted conference papers with almost 2 weeks advance. Would sell it all for another week of sunshine ☀️

María Gragera Garcés reposted

Aabhas (his/he)
@aabhasgulati.bsky.social

They did it? wow! blog.arxiv.org/2026/10/01/u...

blog.arxiv.orgFair Moderation, Equitable Access, and AI: arXiv’s Updated Rate Limit PolicyarXiv, and the scientific community at large, are facing a watershed moment. Scholarly publishing is currently changing at a rapid pace, and we are seeing a…
Aabhas (his/he)@aabhasgulati.bsky.social

arxiv has to be bold now and restrict submissions to X per person per year. avoids the flood of papers that is incoming, and also incentivises researchers to publish the most interesting results. gives them time to digest and think about what AI is producing. other work can be shared differently :)

María Gragera Garcés
@grageragarces.github.io

New physics world article by yours truly:

Physics World@physicsworld.bsky.social

Two superconducting qubits, separated by a metre of coaxial cable, can settle into an entangled state by being exposed to the same quantum-correlated microwave field. 🧪⚛️ physicsworld.com/a/noise-that...

physicsworld.comNoise that entangles may accelerate the dawn of quantum technologies – Physics WorldTwo superconducting qubits, a metre of cable apart, have been driven into an entangled state not in spite of their environment, but by it
María Gragera Garcés
@grageragarces.github.io

Finally back in Edinburgh for Fringe. Saw shitfaced Shakespeare. Quite fun. The premise is that one of the classically trained actors in the play is indeed shitfaced and the others must adapt the play to their whims whilst trying to stay serious. We somehow ended up with a puppet father in Hamlet.

María Gragera Garcés
@grageragarces.github.io

I'm in Paris this week visiting VeriQloud! If you're working in the Paris quantum ecosystem and would like to meet up for a coffee and/or show me your awesome quantum lab, message me! I'd love to visit some of the many people working on fantastic projects around the city, despite the heat.

María Gragera Garcés
@grageragarces.github.io

On a brilliant twist of fate I met the engineers running eduroam a couple of weeks ago. Felt like meeting superstars, & fun fact Helsinki is apparently not the only airport with eduroam! Others include Stockholm and Luxembourg. Even they are amazed and how well the project has gone down since 2002

María Gragera Garcés@grageragarces.github.io

Brilliant sightings at QCTiP

María Gragera Garcés
@grageragarces.github.io

It was a nice collab with collaborators at ETH, IBM and Singapore’s CQT. A full female author list too 😉 bit of a rare sight. The work has been accepted at QCE’s Workshop on AI for Circuit Synthesis, Optimization & Discovery, and will be presented there later this year.

María Gragera Garcés reposted

Scientific American
@sciam.bsky.social

For the past 70 years, scientists have taught us that female mammals are born with a finite ovarian egg supply. In humans, that supply dwindles until menopause, when it goes bankrupt. That dogma might be utterly wrong, new research suggests. www.scientificamerican.com/article/the-...

scientificamerican.comThe biological dogma that women don’t make new eggs after birth may be wrongFemale mammals have long thought to be born with all the eggs they would ever have, but new research is challenging that consensus
María Gragera Garcés
@grageragarces.github.io

Such a pleasure to have participated at NUS’s HACKAMONTH this June! Beyond grateful to my co-hackers and the staff at Singapore’s Center of Quantum Tech, for an incredible month & wonderful collaborations! One of the papers written during this time is already out, but keep an eye out for more :)

María Gragera Garcés
@grageragarces.github.io

New pre-print: a quantum ring all-reduce, the primitive behind large-scale ML training. We cut online communication, enable info-theoretically private aggregation, & show quadratic/exponential advantages on gradient-conflict problems. scirate.com/arxiv/2606.2...

scirate.comQuantum ring all-reduce: communication and privacy advantages for distributed learningMachine learning models have scaled to unprecedented sizes, making training across distributed devices the de facto standard in the field. In this work, we explore how quantum communications can make ...
María Gragera Garcés
@grageragarces.github.io

It would be very nice if quantum circuit benchmarking suites like MQTBench came with expected results for the circuits in 0 noise environments so that we can test against them. It's easy enough for things like W or GHZ generators but I have no clue what your Grover implementation was converging on

María Gragera Garcés
@grageragarces.github.io

I have opened an issue for MQT Bench github.com/munich-quant... , but generally if you’re thinking of making a benchmarking suite please add expected ideal results for the circuits

github.com✨ Add expected noise-free outputs for circuits · Issue #924 · munich-quantum-toolkit/benchProblem Statement It would be really useful if MQT Bench circuits came with their expected noise-free results (an ideal state vector or output probability distribution) so that downstream users can...

María Gragera Garcés reposted

James Wootton
@decodoku.bsky.social

I have a few things to plug so I guess this needs to be a thread. First: new paper! What if instead of designing quantum software with H's in boxs and of weird things, what if you just play whack-a-mole with a managable set of variables. Turns out it works! scirate.com/arxiv/2605.2...

María Gragera Garcés
@grageragarces.github.io

2/3 essentially arguing causality might is the trigger for advantage in the way that entanglement isn’t, is saying “the rules that differentiate QM from just a randomly probabilistic setting enable Q advantage”.

María Gragera Garcés
@grageragarces.github.io

Are you in the Distributed Quantum Computing space? Do you develop hypergraph partitioners? Have you evaluated these partitioners using random circuits? Well, you shouldn’t… Random circuits are a computationally expensive & misleading testbed for partitioner performance: scirate.com/arxiv/2605.0...

scirate.comOn the Distortion of Partitioning Performance by Random Quantum CircuitsHypergraph partitioning is a central component of distributed quantum computing (DQC) compilers. However, due to the limited size of available quantum benchmark suites, many partitioning studies rely ...