Mirko Amico
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mirko-amico.bsky.social
Mirko Amico
@mirko-amico.bsky.social
Quantum algo engineer @ IBM Quantum | #QuantumPhysics #ML/AI | views my own
Just discovered a Pennylane tutorial on our work on calibrating gates on superconducting devices 🩷
pennylane.ai/qml/demos/tu...
Gate calibration with reinforcement learning | PennyLane Demos
Learn how to calibrate quantum computers with reinforcement learning
pennylane.ai
July 6, 2025 at 7:15 PM
Stoked to see our work on Krylov Quantum Diagonalization (KQD) in print in Nature: nature.com/articles/s41...

We also put together an amazing tutorial to get walk you through the method and run experiments on IBM Quantum's hardware!
quantum.cloud.ibm.com/docs/en/tuto...
Krylov diagonalization of large many-body Hamiltonians on a quantum processor - Nature Communications
The estimation of low energies of many-body systems is a cornerstone of the computational quantum sciences. This paper demonstrates on a superconducting quantum processor that the Krylov quantum diago...
nature.com
June 25, 2025 at 6:07 PM
For anyone interested in getting their hands dirty, we have a tutorial which implements the long-range CX with dynamic circuits from the paper here:

learning.quantum.ibm.com/tutorial/lon...
January 26, 2025 at 12:18 PM
Reposted by Mirko Amico
1/n Excited to share the IBM Quantum blog featuring our recent PRX Quantum paper:
"Efficient Long-Range Entanglement using Dynamic Circuits."

🚀 Why does this matter?
Quantum processors are limited by local connectivity, but our research demonstrates how dynamic circuits—leveraging mid-circuit
January 25, 2025 at 1:04 AM
Haven’t decided whether this is good or bad press for IBM Quantum lol
January 11, 2025 at 3:15 PM
The barrage of news today reminded me that we do have a solid demonstration of a quantum computer doing something beyond classical (random circuit sampling). Left me wondering whether any applications have been found. After all, its photonic cousin (Gaussian boson sampling) seems to have a few!
December 10, 2024 at 4:57 AM
Having some down time this weekend and I feel like rambling about one of the most enjoyable PhD thesis I’ve read on quantum. There’s some really cool insights and I’m left with a feeling that there’s more to the story!

arxiv.org/abs/2004.05631
At the Interface of Algebra and Statistics
This thesis takes inspiration from quantum physics to investigate mathematical structure that lies at the interface of algebra and statistics. The starting point is a passage from classical probabilit...
arxiv.org
December 8, 2024 at 9:41 PM
Arxiv bot is nice and all but what about a scirate bot?
November 28, 2024 at 4:51 PM
I'd love to interact with people who have been looking at classical simulations of quantum circuits. I have just recently started looking at this field (sorry for any naive takes) and was really intrigued by it. For me, it all started from the paper by Schuster (arxiv.org/abs/2407.12768)
A polynomial-time classical algorithm for noisy quantum circuits
We provide a polynomial-time classical algorithm for noisy quantum circuits. The algorithm computes the expectation value of any observable for any circuit, with a small average error over input state...
arxiv.org
November 25, 2024 at 10:12 PM
November 21, 2024 at 3:23 PM
Not sure what’s the best way to start anew. I generally enjoy reading threads doing a deep-dive into some topic, so I guess I’ll start with something boring but familiar like my personal experience in quantum and hopefully go into more interesting stuff in other posts!
November 20, 2024 at 2:36 PM
Testing the waters here, happy to see a good fraction of the quantum community active and my feed not drowning in other stuff! #quantum
November 20, 2024 at 11:16 AM