Ruslan Shaydulin

Quantum algorithms researcher @jpmorgan. Views my own.

[Ruslan Shaydulin @ruslanquantum]

https://t.co/XbyBzbGtop

[Tony @Tonyransford]

So excited this machine which was a huge labor of love is released today. Read the paper! https://t.co/G0sWApJzt0

[Google Quantum AI @GoogleQuantumAI]

Tensor networks are becoming a vital tool in quantum computing. Originally used for simulating quantum systems, their applications now include:

- Quantum circuit synthesis
- Quantum error correction
- Quantum machine learning

Read more from Nature: https://t.co/R4x6P2yafQ

[Ruslan Shaydulin @ruslanquantum]

@Travis_Sch Quantum advantage, conventionally defined as a quantum computer performing a useful task that is impossible to do using classical computation alone, has already been attained: https://t.co/Pj0xxZVqZI

Attaining “large” $$ impact with quantum computers remains open, of course.

[Ruslan Shaydulin @ruslanquantum]

Great coverage of our recent result by @sciam: https://t.co/bTNzRHscSy

[Ruslan Shaydulin @ruslanquantum]

It was a privilege to work on this milestone demonstration. This result proves beyond doubt that today's quantum computers combined with exascale supercomputers can perform a valuable task that no classical computer can to achieve on its own: certified randomness expansion.

[Pradeep Niroula @NiroulaPradeep]

Almost exactly a year ago, we ran an ambitious experiment. The goal was to make a quantum computer do something that was impossible before and would also be practically useful.

Today, I am proud to announce the results of that work through a paper in Nature. In it, we use a quantum computer to realize the task of generating “Certified Randomness” — a special kind of randomness which comes with a ‘proof’ of randomness that can be verified by anyone.

Randomness is used everywhere — in lotteries, in jury selections, in selecting who to audit. With certified randomness, you can be confident that such sensitive decisions are made fairly, using genuine randomness, untampered by a malicious adversary. You can be sure that the security keys you use for encryption come from a truly random source. What’s more, you can now prove the integrity of your system to others.

This opens up new opportunities within cryptography. We can generally use certified randomness to augment existing entropy sources, towards making opaque decision processes more transparent, towards  ever more layers of trust. We present some initial thoughts in an accompanying paper. But clearly, there is a lot more to do.

This work was made possible with a heroic collaboration between federal laboratories, universities, startups and financial institutions spread all across USA. This collaboration — which includes @jpmorgan, @QuantinuumQC , @argonne, @ORNL, @UTAustin — brought together theoretical expertise, state-of-the-art quantum computers and world’s most powerful supercomputers.

From a long list of people behind this work, I would like to specially thank my closest collaborators @ruslanquantum and @henryken_liu for being a part of this journey, as well as JPMorganChase leadership — Marco Pistoia, Lori Beer and Jamie Dimon — for creating an environment that makes breakthroughs like this possible.

https://t.co/juQhJq5Eac

[Ruslan Shaydulin @ruslanquantum]

@wjzeng @DulwichQuantum Note that Google’s result is not the only “beyond-classical” experiment that is robust against the new techniques. Another example is our recent work with Quantinuum: https://t.co/70iLN5m3td

There’s no reason to believe that tensor networks can keep up with hardware progress.

[The Quantum Insider @QuantumDaily]

Study shows a quantum algorithmic speedup for the quantum approximate optimization algorithm #QAOA. Could lead to advances in logistics, telecommunications, financial modeling, materials science etc.
@JPMorgan Chase, @Argonne @Quantinuum
https://t.co/B3aBWK2Q3s

[Ruslan Shaydulin @ruslanquantum]

@alejomonbar Only a couple of minutes, with the runtime dominated by communication time. See Fig 5 in https://t.co/K6FZQCKbsc for details on scaling. The simulation is memory-bound, so if you have a bigger supercomputer, it’s relatively straightforward to run higher N.

[Ruslan Shaydulin @ruslanquantum]

We are excited to see our joint paper with @argonne and @QuantinuumQC appear in Science Advances! See our press release for more details: https://t.co/Bqwdyk0Ur5

[Ruslan Shaydulin @ruslanquantum]

Link to the paper: https://t.co/UtwmSlJTdZ

[Ruslan Shaydulin @ruslanquantum]

We show that the Quantum Approximate Optimization Algorithm (QAOA) achieves a quantum speedup over state-of-the-art classical algorithms. Our results are enabled by large-scale simulation using up to 1,024 GPUs on Polaris supercomputer hosted by @argonne_lcf

[Michael A. Perlin @Particle_Perlin]

The https://t.co/ryR80j8iki (@victorvalbert et al.) is incredibly useful for navigating the landscape of these fancy qLDPC codes I keep hearing about. However, I couldn't find any tools to actually tinker with these codes.

So I decided to build my own! https://t.co/pZNJJQEQiU

[Ruslan Shaydulin @ruslanquantum]

Consider registering for this excellent event! @marco_pistoia and myself will be there in person to chat with prospective candidates.

[Chicago Quantum Exchange @ChicagoQuantum]

Register for the Chicago Quantum Recruiting Forum by tomorrow @ 12:00 pm CT to be included in the resume book! This annual event brings together the rising generation of #quantum scientists with employers/educators for an event aimed at catalyzing careers: https://t.co/ry49QTCnpz

[Ruslan Shaydulin @ruslanquantum]

I’m at #APSMarchMeeting until Thursday! Reach out if you’d like to chat.

[Infleqtion @infleqtion]

Curious about the potential quantum holds for transforming financial strategies? Check out the #Q2BSV23 presentation with @singular_value & @ruslanquantum on their collaboration to optimize ETF arbitrage using Q-CHOP: https://t.co/vHeyB6957e.

[Quantum @quantumjournal]

Fresh in Quantum: Parameter Setting in Quantum Approximate Optimization of Weighted Problems by Shree Hari Sureshbabu, Dylan Herman, Ruslan Shaydulin, Joao Basso, Shouvanik Chakrabarti, Yue Sun, and Marco Pistoia https://t.co/6ctShh8zUA

[Ruslan Shaydulin @ruslanquantum]

Check out my Q2B talk to get a glimpse at some of the recent quantum algorithm results @jpmorgan!

https://t.co/Wzeh3qmYSb

[Ruslan Shaydulin @ruslanquantum]

Amazing to see @jpmorgan lead the investment round for @QuantinuumQC. Looking forward to continued collaboration with the leaders in quantum hardware!

https://t.co/euBHNpjgpc

[Physical Review Research @PhysRevResearch]

Hardness of the maximum-independent-set problem on unit-disk graphs and prospects for quantum speedups, Ruben S. Andrist et al @ruslanquantum @gromitsun @marco_pistoia @jpmorgan @RYalovetzky #Quantum #AtomicPhysics #Optics https://t.co/6VUoLWAUat