Jeongrak Son
perp-waterfall.bsky.social
Jeongrak Son
@perp-waterfall.bsky.social
PhD student @ NTU Singapore
Quantum Information and Thermodynamics
https://jeongrak-son.github.io
Thank you! It was great visiting you last year!
September 10, 2025 at 7:20 AM
Same!! And the journey was great thanks to you and all my new friends! Hope to see you more often at conferences.
September 9, 2025 at 10:21 AM
Thanks so much!! It was amazing collaborating with you!
September 9, 2025 at 7:01 AM
arxiv.org
September 9, 2025 at 7:01 AM
My next step hasn't been decided yet, and I will be staying at NTU until (at most) Feb-Apr 2026 to wrap up several projects. You may soon hear about Gaussian phase-covariant operations or hybrid resource theories from me:)
September 9, 2025 at 6:58 AM
My interest in catalysts grew to include other auxiliaries, particularly memories. We introduced several quantum algorithms that approximately solve certain non-linear differential equations and showed that using quantum memories without reading them can drastically improve these algorithms.
September 9, 2025 at 6:58 AM
We then observed an important caveat (catalysis is fragile to noise) and characterised rather general classes of theories where robust catalysis is possible/impossible.
September 9, 2025 at 6:58 AM
Since I first encountered catalysis in QI, I've been fascinated by how powerful it can be despite it returning to its exact original state. My PhD study started there: we identified a source of its power (memory effects!) and found that this alone can bridge different thermodynamic paradigms.
September 9, 2025 at 6:57 AM
Yayyyy the title survived!!
August 12, 2025 at 2:19 AM
Reposted by Jeongrak Son
Years down the road, Jeongrak and I were trying to figure out whether robust catalytic advantage exists for thermal operations. We then realized that the conceptual key was hidden in those early, unannounced results by our friends all along!
arxiv.org/abs/2412.06900
Robust Catalysis and Resource Broadcasting: The Possible and the Impossible
In resource theories, catalysis refers to the possibility of enabling otherwise inaccessible quantum state transitions by providing the agent with an auxiliary system, under the condition that this au...
arxiv.org
July 23, 2025 at 3:07 AM
Reposted by Jeongrak Son
Finally, we show that quantum signal processing can be used to implement imaginary time evolution for unstructured search without post selection.

And this enables us to design a new `fixed-point' quantum search algorithm

i.e., a Grover type algorithm that never overshoots the solution
July 22, 2025 at 12:25 PM
3) We have since introduced many algorithms that are quantum recursions (check out a series of papers on double-bracket quantum algorithms). In particular, we think that double-bracket quantum imaginary-time evolution (arxiv.org/abs/2412.04554) is a strong candidate for QDP application.
Double-bracket quantum algorithms for quantum imaginary-time evolution
Efficiently preparing approximate ground-states of large, strongly correlated systems on quantum hardware is challenging and yet nature is innately adept at this. This has motivated the study of therm...
arxiv.org
May 21, 2025 at 8:54 AM
2) We also compare the circuit size (depth x width) with or without QDP. Sometimes, QDP reduces the circuit size. However, even when it does not, QDP allows us to have circuit depth-width tradeoff, which I believe is quite cool.
May 21, 2025 at 8:54 AM
1) We now focus on pure quantum recursions (i.e. the recursive non-linear evolution of a pure state), for which we have a better performance guarantee: the circuit depth can be exponentially reduced by using exponentially many initial copies of the state.
May 21, 2025 at 8:54 AM
For those who have only read the arXiv v1, here are some summaries of the changes:
May 21, 2025 at 8:54 AM
It took us over a year to publish this, since we went through numerous revisions including significant strengthening of the results. The screenshot below is an excerpt from our reply to referees.
May 21, 2025 at 8:54 AM