Kunal Sharma's Avatar

Kunal Sharma

@kunalq.bsky.social

Staff Research Scientist @IBM Research | Editor @Quantum Journal

211 Followers  |  107 Following  |  3 Posts  |  Joined: 20.11.2024  |  1.4291

Latest posts by kunalq.bsky.social on Bluesky

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Tour de gross: A modular quantum computer based on bivariate bicycle codes We present the bicycle architecture, a modular quantum computing framework based on high-rate, low-overhead quantum LDPC codes identified in prior work. For two specific bivariate bicycle codes with d...

A bivariate bicycle path

arxiv.org/abs/2506.03094

05.06.2025 23:54 β€” πŸ‘ 18    πŸ” 3    πŸ’¬ 0    πŸ“Œ 1
IYQ Collection – Impacting the Next DecadeIYQ Collection – Impacting the Next Decade

Thrilled to share that our paper on preparing matrix product states with adaptive circuits was selected for inclusion in the International Year of Quantum Collection in PRX Quantum. Quite humbling to see it listed among so many amazing papers from this year!

14.03.2025 13:42 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
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Excited to co-organize #QSim2025 at @IBM Quantum in NYC!

Please apply qsimconference.org

07.03.2025 13:51 β€” πŸ‘ 9    πŸ” 3    πŸ’¬ 0    πŸ“Œ 0
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I'm the worst host in NYC, according to @qzoeholmes.bsky.social but the Thai food/cocktails aren't bad!

12.02.2025 01:58 β€” πŸ‘ 11    πŸ” 1    πŸ’¬ 0    πŸ“Œ 1
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I am very excited that this work is out today on the arXiv: arxiv.org/pdf/2501.09702

We wondered for quite some time if a sample-based quantum diagonalization method could have convergence guarantees similar to phase estimation, while retaining the noise robustness of a sample-based method.

17.01.2025 21:37 β€” πŸ‘ 13    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
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Sample-based Krylov Quantum Diagonalization Approximating the ground state of many-body systems is a key computational bottleneck underlying important applications in physics and chemistry. It has long been viewed as a promising application for...

Excited to share our latest results:

Sample-based Krylov Quantum Diagonalization arxiv.org/abs/2501.09702

This work was a collaboration between colleagues at IBM Research and Oak Ridge National Laboratory. Check it out!

17.01.2025 18:03 β€” πŸ‘ 15    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

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