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Quantum, AI & Data: In Conversation with Dr. Abhishek Bhowmick - Episode 22: The Effortless Podcast
In this episode of The Effortless Podcast, Dheeraj Pandey speaks with Dr. Abhishek Bhowmick about how quantum mechanics reshaped our understanding of determinism and why that shift matters for AI today.
From the Einstein–Bohr debates to the idea that nature is fundamentally probabilistic, they explore how the collapse of “if-then” thinking began nearly a century ago. The discussion draws parallels between quantum superposition and modern LLM behavior. At its core, the episode reframes AI as a rediscovery of how reality computes.
The conversation then moves from physics to computing architecture, tracing the evolution from scalar CPUs to GPUs, TPUs, tensors, and eventually quantum computing. They examine why probabilistic systems and vector math feel more natural than purely deterministic software. Hybrid computing models show that classical systems still matter. The episode also unpacks what quantum computers are truly good at, especially in cryptography and simulation. Ultimately, it reflects on whether the future of computing lies in embracing probability rather than resisting it.
Key Topics & Timestamps
00:00 – Welcome, context, and how Dheeraj & Abhishek met
04:00 – Abhishek’s journey: IIT, Princeton, Apple, Snowflake
08:00 – The 1927 Solvay Conference and physics at a crossroads
12:00 – Einstein vs. Bohr: determinism vs. probability
16:00 – Superposition and the collapse of the wave function
20:00 – Fields vs. particles: what is an electron really?
25:00 – Matter particles, force particles, and the Standard Model
30:00 – Transistors, voltage, and the rise of deterministic computing
35:00 – From scalar CPUs to vectors and matrices
40:00 – Tensors, linear algebra, and modern AI systems
45:00 – Principle of Least Action and gradient descent parallels
50:00 – Hallucinations, probability mass, and LLM behavior
55:00 – Vector databases, embeddings, and KNN search
59:00 – GPUs vs. TPUs: matrix vs. tensor architectures
1:05:00 – What quantum computers are actually good at
1:10:00 – Post-quantum cryptography and the future of computing
Host -
Dheeraj Pandey
Co-founder & CEO at DevRev. Former Co-founder & CEO of Nutanix. A systems thinker and product visionary focused on AI, software architecture, and the future of work.
Guest -
Dr Abhishek Bhowmick Co-Founder and CTO of Samooha, a secure data collaboration platform acquired by Snowflake. He previously worked at Apple as Head of ML Privacy and Cryptography, System Intelligence, and Machine Learning, and earlier at Goldman Sachs. He attended Princeton University and was awarded IIT Kanpur’s Young Alumnus Award in 2024.
Follow the Host and Guest -
Dheeraj Pandey:
LinkedIn - https://www.linkedin.com/in/dpandey
Twitter - https://x.com/dheeraj
Abhishek Bhowmik
LinkedIn – https://www.linkedin.com/in/ab-abhishek-bhowmick
Twitter/X – https://x.com/bhowmick_ab
Share Your Thoughts
Have questions, comments, or ideas for future episodes?
📩 Email us at [email protected]
Don’t forget to Like, Comment, and Subscribe for more conversations at the intersection of AI, systems, and product design.
View all episodes
By Dheeraj Pandey, Amit PrakashIn this episode of The Effortless Podcast, Dheeraj Pandey speaks with Dr. Abhishek Bhowmick about how quantum mechanics reshaped our understanding of determinism and why that shift matters for AI today.
From the Einstein–Bohr debates to the idea that nature is fundamentally probabilistic, they explore how the collapse of “if-then” thinking began nearly a century ago. The discussion draws parallels between quantum superposition and modern LLM behavior. At its core, the episode reframes AI as a rediscovery of how reality computes.
The conversation then moves from physics to computing architecture, tracing the evolution from scalar CPUs to GPUs, TPUs, tensors, and eventually quantum computing. They examine why probabilistic systems and vector math feel more natural than purely deterministic software. Hybrid computing models show that classical systems still matter. The episode also unpacks what quantum computers are truly good at, especially in cryptography and simulation. Ultimately, it reflects on whether the future of computing lies in embracing probability rather than resisting it.
Key Topics & Timestamps
00:00 – Welcome, context, and how Dheeraj & Abhishek met
04:00 – Abhishek’s journey: IIT, Princeton, Apple, Snowflake
08:00 – The 1927 Solvay Conference and physics at a crossroads
12:00 – Einstein vs. Bohr: determinism vs. probability
16:00 – Superposition and the collapse of the wave function
20:00 – Fields vs. particles: what is an electron really?
25:00 – Matter particles, force particles, and the Standard Model
30:00 – Transistors, voltage, and the rise of deterministic computing
35:00 – From scalar CPUs to vectors and matrices
40:00 – Tensors, linear algebra, and modern AI systems
45:00 – Principle of Least Action and gradient descent parallels
50:00 – Hallucinations, probability mass, and LLM behavior
55:00 – Vector databases, embeddings, and KNN search
59:00 – GPUs vs. TPUs: matrix vs. tensor architectures
1:05:00 – What quantum computers are actually good at
1:10:00 – Post-quantum cryptography and the future of computing
Host -
Dheeraj Pandey
Co-founder & CEO at DevRev. Former Co-founder & CEO of Nutanix. A systems thinker and product visionary focused on AI, software architecture, and the future of work.
Guest -
Dr Abhishek Bhowmick Co-Founder and CTO of Samooha, a secure data collaboration platform acquired by Snowflake. He previously worked at Apple as Head of ML Privacy and Cryptography, System Intelligence, and Machine Learning, and earlier at Goldman Sachs. He attended Princeton University and was awarded IIT Kanpur’s Young Alumnus Award in 2024.
Follow the Host and Guest -
Dheeraj Pandey:
LinkedIn - https://www.linkedin.com/in/dpandey
Twitter - https://x.com/dheeraj
Abhishek Bhowmik
LinkedIn – https://www.linkedin.com/in/ab-abhishek-bhowmick
Twitter/X – https://x.com/bhowmick_ab
Share Your Thoughts
Have questions, comments, or ideas for future episodes?
📩 Email us at [email protected]
Don’t forget to Like, Comment, and Subscribe for more conversations at the intersection of AI, systems, and product design.