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Chakrabarti, Shouvanik
49  Ergebnisse:
Personensuche X
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1

Privacy-preserving quantum federated learning via gradient ..:

Li, Changhao ; Kumar, Niraj ; Song, Zhixin..
Quantum Science and Technology.  9 (2024)  3 - p. 035028 , 2024
Link: https://doi.org/10.1088/..
 
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2

Parameter Setting in Quantum Approximate Optimization of We..:

Sureshbabu, Shree Hari ; Herman, Dylan ; Shaydulin, Ruslan...
Quantum.  8 (2024)  - p. 1231 , 2024
Link: https://doi.org/10.22331..
 
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3

Numerical evidence against advantage with quantum fidelity ..:

Slattery, Lucas ; Shaydulin, Ruslan ; Chakrabarti, Shouvanik...
Physical Review A.  107 (2023)  6 - p. , 2023
Link: https://doi.org/10.1103/..
 
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4

Quantum Algorithm for Estimating Volumes of Convex Bodies:

Chakrabarti, Shouvanik ; Childs, Andrew M. ; Hung, Shih-Han...
ACM Transactions on Quantum Computing.  4 (2023)  3 - p. 1-60 , 2023
Link: https://doi.org/10.1145/..
 
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5

Hardness of the maximum-independent-set problem on unit-dis..:

Andrist, Ruben S. ; Schuetz, Martin J. A. ; Minssen, Pierre...
Physical Review Research.  5 (2023)  4 - p. , 2023
Link: https://doi.org/10.1103/..
 
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6

Constrained optimization via quantum Zeno dynamics:

Herman, Dylan ; Shaydulin, Ruslan ; Sun, Yue...
Communications Physics.  6 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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7

Quantum Deep Hedging:

Cherrat, El Amine ; Raj, Snehal ; Kerenidis, Iordanis...
Quantum.  7 (2023)  - p. 1191 , 2023
Link: https://doi.org/10.22331..
 
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8

Alignment between initial state and mixer improves QAOA per..:

He, Zichang ; Shaydulin, Ruslan ; Chakrabarti, Shouvanik...
npj Quantum Information.  9 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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9

Multiangle QAOA Does Not Always Need All Its Angles:

, In: 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC),
Shi, Kaiyan ; Herrman, Rebekah ; Shaydulin, Ruslan... - p. 414-419 , 2022
Link: https://doi.org/10.1109/..
 
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10

A Threshold for Quantum Advantage in Derivative Pricing:

Chakrabarti, Shouvanik ; Krishnakumar, Rajiv ; Mazzola, Guglielmo...
Quantum.  5 (2021)  - p. 463 , 2021
Link: https://doi.org/10.22331..
 
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11

Quantum algorithms and lower bounds for convex optimization:

Chakrabarti, Shouvanik ; Childs, Andrew M. ; Li, Tongyang.
Quantum.  4 (2020)  - p. 221 , 2020
Link: https://doi.org/10.22331..
 
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12

On the principles of differentiable quantum programming lan..:

, In: Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation,
Zhu, Shaopeng ; Hung, Shih-Han ; Chakrabarti, Shouvanik. - p. 272-285 , 2020
Link: https://dl.acm.org/doi/1..
 
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13

Numerical evidence against advantage with quantum fidelity ..:

Slattery, Lucas ; Shaydulin, Ruslan ; Chakrabarti, Shouvanik...
qt69v071q7.  , 2023
Link: https://escholarship.org..
 
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14

Hardness of the maximum-independent-set problem on unit-dis..:

Andrist, Ruben S ; Schuetz, Martin J. A ; Minssen, Pierre...
https://doi.org/10.1103/physrevresearch.5.043277.  , 2023
Link: https://doi.org/10.1103/..
 
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15

Evidence of Scaling Advantage for the Quantum Approximate O..:

Shaydulin, Ruslan ; Li, Changhao ; Chakrabarti, Shouvanik...
http://arxiv.org/abs/2308.02342.  , 2023
Link: http://arxiv.org/abs/230..
 
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