Arkin Tikku @arkin_tikku
Quantum information and quantum computation @Sydney_Uni | PhD student Sydney Joined October 2022-
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I received the NSF CAREER award! Needless to say, I am pretty happy about it. But what makes me really excited is that this will support my research on the entanglement bootstrap (EB) program! Here's a long 🧵 on the origin of the EB program, from my personal perspective.
I received the NSF CAREER award! Needless to say, I am pretty happy about it. But what makes me really excited is that this will support my research on the entanglement bootstrap (EB) program! Here's a long 🧵 on the origin of the EB program, from my personal perspective.
Can we predict properties of *any* state in a given phase, once we have collected just a few samples from this phase? Yes! And we can do so according to a comprehensive and natural framework of dissipative dynamics! Here all details --> scirate.com/arxiv/2311.075…
Since this slide has confused some people, as it seemingly contradicts what I said earlier in my talk, let me clarify. The first part of our conjecture covers codes that are constructed using the recipe that we develop in our paper (balanced products of Ramanujan exp. codes),
Since this slide has confused some people, as it seemingly contradicts what I said earlier in my talk, let me clarify. The first part of our conjecture covers codes that are constructed using the recipe that we develop in our paper (balanced products of Ramanujan exp. codes),
Our work appeared on phys.org! Scientists demonstrate the existence of a universal lower bound on topological entanglement entropy phys.org/news/2023-10-s… via @physorg_com
Do you want to correct a quantum code? ✅ Do you like tensor networks? ✅ Do you live in 3D? ✅ Well I have the paper for you! 🎉 scirate.com/arxiv/2310.107…
I am very happy to share the news that I have been awarded the Maxwell Medal and Prize. Many thanks go, of course, to my fantastic teachers and collaborators!
I am very happy to share the news that I have been awarded the Maxwell Medal and Prize. Many thanks go, of course, to my fantastic teachers and collaborators!
I am very happy to announce a new paper with Inbal Livni Navon and @mkwoot. arXiv: arxiv.org/abs/2310.07868 In this blog post, I talk about developments in classical error correction that inspired this paper: thescaffolding.wordpress.com/2023/10/13/exp…
Are you a fan of the surface code? Did you ever wish for a similar simple code in three dimensions which had optimal code parameters given the locality constraints? In new work with Nouédyn Baspin, we have just the codes for you! arxiv.org/abs/2309.16503
Nikolas Breuckmann, a physicist-turned-mathematician, has spent years trying to improve upon the surface code — the gold standard for quantum error correction. He suspects that nonlocal “low-density parity check” codes might be the answer. quantamagazine.org/new-codes-coul…
We can implement qLDPC codes with favorable parameters in neutral atoms via physically moving qubits! Formally, there's no threshold, but for nearly all practical purposes, this is okay :) arxiv.org/abs/2308.08648
New paper dance! scirate.com/arxiv/2308.071…
New paper on arXiv today with @nikobreu: arxiv.org/abs/2308.03750 We construct families of Floquet codes derived from closed hyperbolic surfaces and show that they outperform honeycomb codes and surface codes even at high physical error rates. @UCLQuantum @BristolUniMaths
New paper with Nouédyn Baspin, Ray Li and Venkat Guruswami! arxiv.org/abs/2307.03283 These are bounds that relate the properties of a stabilizer code and its connectivity graph. I wrote a short blog post to go with it. thescaffolding.wordpress.com/2023/07/10/con…
🎉📜New paper! Which stochastic matrices can be realised by continuous memoryless evolutions? The answer is quite sensitive to the underlying physics, with quantum systems being able to generate far more transition matrices than classical systems scirate.com/arxiv/2305.171…
I'm very excited to share recent results on preparing topological states by measurement. In our latest collaboration with Quantinuum, we unambiguously provide the first realization of non-Abelian topological order in their latest H2 quantum processor (which launches today!)
🔴 Starting soon, join Isaac Kim (UC Davis) and myself to deep dive into "Near-Term Interactive Quantum Computation" 🎥 12 PM ET live with question & chat on the @qiskit #SeminarSeries #QuantumComputing #QuantumIndustry #QuantumTech #Quantum buff.ly/3MtjZpF
My first-ever paper is now on arxiv! 🎉🎉🎉 arxiv.org/abs/2304.03240 scirate.com/arxiv/2304.032… We study a cellular automaton called sweep rule & obtain its phase diagram. In particular we identify a region in its phase diagram where the sweep rule behaves as a classical memory.
In our new paper on arXiv today, @CraigGidney and I explain the techniques we used to make PyMatching 100x-1000x faster: arxiv.org/abs/2303.15933 Our sparse blossom algorithm is a variant of the blossom algorithm that directly solves the decoding problem relevant to QEC. 1/
Slides presenting past efforts and some ideas toward rigorously characterizing #condmat systems; presented at the excellent QI many-body focus week at @_ICMAT organized by Angelo Lucia. 1/6 drive.google.com/open?id=1i0Fwv… icmat.es/RT/2023/QIT/we…
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𝗙𝗮𝗶𝘀𝗮�.. @BeFixedTo
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@kmnitesh05 Hi it depends on too many things to say in general. It should generally take roughly the same amount of time as classical or ab initio molecular dynamics. For water generally a few picoseconds is fine. For non aqueous solvents normally longer because they have slower dynamics
Sounds a lot like coarse grained MD: Define a reduced dimensional description of your system and then sample from the resulting free energy surface. Enabling much more efficient search of phase space.
Here is a much more detailed explanation of Q*: Here is a detailed explanation of the Q-star energy-based model (EBM) ideas for dialog generation, written for an average undergraduate student: **Energy-Based Model for Dialog Generation** The Q-star project proposes using an…
Tried to capture why I’m so excited about NNPs. I honestly think they are a profoundly useful tool.
The Potential of #Neural Network Potentials A perspective from Timothy Duignan @TimothyDuignan @Griffith_Uni 🔓 Open access in ACS Physical Chemistry Au 👉 go.acs.org/8zg
@TimothyDuignan @charlesxjyang Harmonic corrections could account for even dynamics at all T but fail drastically. Dynamics is the biggest challenge in truly useful uses of AI/ML in chemistry/bio, which is as of now severely under-appreciated/poorly understood by CS-types & even many chemists (2/2)
@mbuanand @JulianShillcock Machine learnjng potentials trained on high quality quantum chemistry combined with coarse graining should be able to provide true predictivity and scale in the near term. It works for electrolytes. Some one needs to do it for proteins. But I don’t have the expertise/resources
@mgubrud @indole_gaines @TobyWalsh I have heard this but I think there are a lot of problems like ions moving through an ion channel which would benefit from higher level quantum chemical accuracy as you want something accurate to below kT
@CorinWagen @JorgensenWL My understanding is that yes as you go to larger and more complex systems your rejection rates can increase so much that Monte Carlo can lose its advantage and so you might as well do MD cause then you can get dynamical information as well.
Interesting talk. Basically, latent diffusion models work because this square commutes, and sampling a distribution before you add brownian motion is easier than having to first evolve a heat equation and then sample. Diffusion models learn the RG flow of a numerical field, where…
The jungle hides its secrets well, but reveals them to those who listen arxiv.org/pdf/2403.01018…
A trend I’m *psyched* about is some of the AI in bio talent moving from drug discovery to climate/industrial synbio 🪴 For those interested but not knowing where to start, I’m running a small discussion group this week. DM’s open ⚡️
Hopefully this is right. Big outstanding problem is inability to access dynamical information (on the sub nanosecond time scale) where a lot of critically important processes happen imo. Need new techniques here not just automation. NNPs are one option.
We are in the Century of Biology, but most people still don't realize why things are accelerating so much. This post argues that it's a function of laboratory automation, Crispr, and machine learning. noahpinion.blog/p/were-enterin…
Industry starting to see the potential of this technique, which makes sense as this research demonstrates it well.
We tested it carefully and found it to be sufficiently accurate to do lots of interesting science and our collaborators @SandipDeScience at @BASF are already using it for some super-secret internal R&D. Dataset & models available archive.materialscloud.org/record/2023.160, ça va sans dire!
Great write up, very cool research. Soon we will be able to make these kind of predictions for ion molecule interactions in solvents at high temperatures too.
A really nice bit of chemical physics. Challenging, though, to give much sense of the quantum chemistry in such a tight space.
Exciting times: we have the accuracy with quantum chemistry and the speed with ML that we need to really start cooking with computational chemistry for many condensed phase applications. From: arxiv.org/abs/2402.13059 Industry needs to invest in this.
"Randomized matrix computations: Themes and variations" (by Anastasia Kireeva, Joel A. Tropp): arxiv.org/abs/2402.17873 [note: 53 pages. Lectures July 3-7, 2023 in Cetraro, Calabria. To appear in CIME Lecture Notes series]
So what is the future of the entanglement bootstrap program? While I can't tell you for now, many surprises will be coming this year. So stay tuned!
I lose most people after introducing subsystems A, B, C, and D. I wonder why I am working on something that nobody cares. But that thought quickly dissipates as soon as I introduce even more subsystems in my head.
I received the NSF CAREER award! Needless to say, I am pretty happy about it. But what makes me really excited is that this will support my research on the entanglement bootstrap (EB) program! Here's a long 🧵 on the origin of the EB program, from my personal perspective.
Assistant Professor of Computer Science Isaac Kim earns the prestigious @NSF CAREER Award, advancing quantum systems research and embodying excellence in education. His groundbreaking work is a leap for #QuantumComputing! Read more at engineering.ucdavis.edu/news/national-… #UCDavisEngineering
We conclude that for large enough models, an energy-efficiency advantage of >8,000x versus current electronic hardware (GPUs) should be possible.
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