Author | Lightnews

Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Aug 26

arxiv.org/abs/2506.192...

On Tuesday 26th November 2024, four discussants participated in a moderated virtual panel titled Future of Quantum Computing as one session of the 8th International Conference on Quantum Techniques in...

arxiv.org

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Aug 19

Really excited to share this chat with Awanish Pandey, an optics and photonics professor at IIT Delhi. Very insightful and fun conversations with a great sense of humour all along :) And of course a shout out to my co-host Priya! Stay tuned for more episodes!

youtu.be/vwoY9OELZco?...

A Day in the Life of an Optics and Photonics Professor with Awanish Pandey

YouTube video by A Day in the Life

youtu.be

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Aug 18

I'll be giving a talk at FLQT next week! www.aspects-quantum.com/flqt2025

Anyone else going?

FLQT 2025 — ASPECTS

Fundamental Limits of Quantum Technologies conference, Dublin, 25-29 August 2025

www.aspects-quantum.com

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Aug 5

Does this mean the coin flipping guys get to publish a paper too?

(Sidenote: I am unironically a big fan of trickshot videos. The joy in their faces when they finally get it is fantastic!)

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Jul 17

I think a way to fight blog posts is to preach to non-experts to

1. Find the link to the scientific paper in the blog post
2. Upload just the paper (not blog post or any other media) into NotebookLM
3. Ask NotebookLM your questions

It's not perfect but (so far) it's pretty decent!

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Jul 11

Very nice interview with Prof. Prabha Mandayam where she shares with us some fascinating life experiences and insights, like how she got into quantum, what she enjoys most about her job, recent QEC breakthroughs, and more! Very fun, informal and a relaxing listen :)

www.youtube.com/watch?v=nejx...

A Day in the Life of a Quantum Information Science Professor with Prabha Mandayam | Ep. 5

YouTube video by A Day in the Life

www.youtube.com

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · May 16

Super interesting! Are there/will there be any talks on this available on youtube?

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · May 8

Nice one 🤣🤣 alternatively you need to search through 3 items

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · May 2

Thanks Nick, appreciate the shout 🙂 we're hoping it can entice more people into digging deeper into how to move forward in understanding which (parts of) problems in healthcare/lifesciences quantum algorithms could be have a potential to help out in!

Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · May 1

Glad to see our work on potential applications of quantum computing to biomarker discovery out in the @cellpress.bsky.social Patterns journal :)

www.cell.com/patterns/ful...

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Apr 30

Looking forward to it coming out!

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Apr 25

It's a word play on "hope"

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Apr 10

So your conclusion is that "this suggests that the firewall paradox may be a symptom of the same fundamental issue that leads to the extended Wigner's friend paradox" is bullshit? Or am I misunderstanding?

Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Mar 30

Indeed! I think that's a pretty OG one en.m.wikipedia.org/wiki/Pilot_w...

Pilot wave theory - Wikipedia

en.m.wikipedia.org

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Mar 29

Oh I didn't know this was an additional feed I could add, this is really neat!

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Mar 29

It's similar on my timeline (not with Tesla specifically but a lot of Trump related posts). My solution is to just stick to the "Following" tab and ignore the "Discover" tab. Unfortunately I only discover new accounts when people I know repost them, so exploration is slow but I'm OK with it for now

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Mar 27

Genuine question: what makes this paper bullshit? You often times point to a quote or give like a two-word context so happy to get that from you this time as well (I have no opinion or stake in this paper, just curious)

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Mar 20

(8/8) Model complexity reduced by a factor of 5, making it more efficient and scalable.

Read more arxiv.org/abs/2503.10510 & share your thoughts!

We welcome feedback, questions, and collaborations. Stay tuned for more insights from our work at QuantumBasel!

Extreme Learning Machines for Attention-based Multiple Instance Learning in Whole-Slide Image Classification

Whole-slide image classification represents a key challenge in computational pathology and medicine. Attention-based multiple instance learning (MIL) has emerged as an effective approach for this prob...

arxiv.org

Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Mar 20

(7/8) 2. We apply parameter freezing, inspired by extreme learning machines, to improve generalization and reduce model complexity.

📊 Essential Outcomes:

AUC increased by over 10%, demonstrating superior detection accuracy.

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Mar 20

(6/8) each labeled as containing no CRCs (0) or at least one CRC (1).

How have we improve deep MIL models?

1. Instead of using raw feature vectors, we aggregate high-dimensional hidden layer outputs—enhancing representation quality.

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Mar 20

(5/8) Our work looked at detecting a specific CRC type (erythroblasts), which is linked to inflammation, hypoxia, cancer infiltration, and increased mortality risk.
We used individual blood cell images from different patients to create whole slide images (WSIs) of blood —

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Mar 20

(4/8) 🔍 Understanding Our Approach

What is the challenge?

In multiple instance learning (MIL), individual data points (e.g., single cells) often lack labels, but “bag-level” labels (e.g., entire blood samples) are more accessible.

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Mar 20

(3/8) - More efficiency: We reduced the number of trained parameters by a factor of 5.

- Future potential: We outline a possible pathway for leveraging quantum algorithms to further enhance MIL-based AI models.

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Mar 20

(2/8) for the early detection of circulating rare cells (CRCs) in blood—key indicators of various biological and pathological conditions, including various cancer diseases.

Key results:

- Performance boost: Across multiple metrics - including AUC by over 10%.

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Rajiv Krishnakumar @rajivkrishnakumar.bsky.social · Mar 20

(1/8) New Preprint: Advancing AI for Detecting Circulating Rare Cells (CRCs) – A Collaboration Between Moonlight AI & QuantumBasel

arxiv.org/abs/2503.10510

📜 In this paper, we demonstrate an improvement of existing attention-based deep multiple instance learning (MIL) AI methods

Extreme Learning Machines for Attention-based Multiple Instance Learning in Whole-Slide Image Classification

Whole-slide image classification represents a key challenge in computational pathology and medicine. Attention-based multiple instance learning (MIL) has emerged as an effective approach for this prob...

arxiv.org

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