Zobrazeno 1 - 10
of 2 935
pro vyhledávání: '"A Sureshbabu"'
Autor:
He, Zichang, Shaydulin, Ruslan, Herman, Dylan, Li, Changhao, Raymond, Rudy, Sureshbabu, Shree Hari, Pistoia, Marco
Quantum Approximate Optimization Algorithm (QAOA) is one of the most promising quantum heuristics for combinatorial optimization. While QAOA has been shown to perform well on small-scale instances and to provide an asymptotic speedup over state-of-th
Externí odkaz:
http://arxiv.org/abs/2408.09538
Autor:
Heredge, Jamie, Kumar, Niraj, Herman, Dylan, Chakrabarti, Shouvanik, Yalovetzky, Romina, Sureshbabu, Shree Hari, Li, Changhao, Pistoia, Marco
Ensuring data privacy in machine learning models is critical, particularly in distributed settings where model gradients are typically shared among multiple parties to allow collaborative learning. Motivated by the increasing success of recovering in
Externí odkaz:
http://arxiv.org/abs/2405.08801
Autor:
Prakash, Anupam, Sun, Yue, Chakrabarti, Shouvanik, Che, Charlie, Dandapani, Aditi, Herman, Dylan, Kumar, Niraj, Sureshbabu, Shree Hari, Wood, Ben, Kerenidis, Iordanis, Pistoia, Marco
We consider the problem of pricing discretely monitored Asian options over $T$ monitoring points where the underlying asset is modeled by a geometric Brownian motion. We provide two quantum algorithms with complexity poly-logarithmic in $T$ and polyn
Externí odkaz:
http://arxiv.org/abs/2402.10132
Autor:
Kumar, Niraj, Heredge, Jamie, Li, Changhao, Eloul, Shaltiel, Sureshbabu, Shree Hari, Pistoia, Marco
Federated learning has emerged as a viable distributed solution to train machine learning models without the actual need to share data with the central aggregator. However, standard neural network-based federated learning models have been shown to be
Externí odkaz:
http://arxiv.org/abs/2309.13002
Autor:
Fontana, Enrico, Herman, Dylan, Chakrabarti, Shouvanik, Kumar, Niraj, Yalovetzky, Romina, Heredge, Jamie, Sureshbabu, Shree Hari, Pistoia, Marco
Publikováno v:
Nat Commun 15, 7171 (2024)
Using tools from the representation theory of compact Lie groups, we formulate a theory of Barren Plateaus (BPs) for parameterized quantum circuits whose observables lie in their dynamical Lie algebra (DLA), a setting that we term Lie algebra Support
Externí odkaz:
http://arxiv.org/abs/2309.07902
Autor:
Sureshbabu, Shree Hari, Herman, Dylan, Shaydulin, Ruslan, Basso, Joao, Chakrabarti, Shouvanik, Sun, Yue, Pistoia, Marco
Publikováno v:
Quantum 8, 1231 (2024)
Quantum Approximate Optimization Algorithm (QAOA) is a leading candidate algorithm for solving combinatorial optimization problems on quantum computers. However, in many cases QAOA requires computationally intensive parameter optimization. The challe
Externí odkaz:
http://arxiv.org/abs/2305.15201
Autor:
Enrico Fontana, Dylan Herman, Shouvanik Chakrabarti, Niraj Kumar, Romina Yalovetzky, Jamie Heredge, Shree Hari Sureshbabu, Marco Pistoia
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Variational quantum algorithms, a popular heuristic for near-term quantum computers, utilize parameterized quantum circuits which naturally express Lie groups. It has been postulated that many properties of variational quantum algorithms can
Externí odkaz:
https://doaj.org/article/17c5158ee3ad48f2b763408f160d3c03
Autor:
Rudresha Haleshappa Antapura, Amale Baburao Vaibhav, Lokanatha Dasappa, Linu Abraham Jacob, Mallekavu Channappa Sureshbabu, Kadabur Nagendrappa Lokesh, Lakkavalli Krishnappa Rajeev, Smitha C. Saldanha, Tirumala Venkatesh
Publikováno v:
South Asian Journal of Cancer, Vol 13, Iss 03, Pp 203-206 (2024)
Externí odkaz:
https://doaj.org/article/de9a2550f77b44909e713ad2a098a300
Publikováno v:
Interdisciplinary Journal of Epidemiology and Public Health, Vol 7, Iss 2 (2024)
Background: Knee osteoarthritis (OA) is a prevalent and debilitating condition. We explore the potential of a multimodal intervention for managing knee OA, combining naturopathic therapies, acupuncture, yoga, and resistance exercise. Case descripti
Externí odkaz:
https://doaj.org/article/8aa1826caab34030bf3920923381fb67
Autor:
Adhimoolam, Karthikeyan1 (AUTHOR), Sureshbabu, Anjana2 (AUTHOR), Smirnova, Elena2 (AUTHOR), Muthuramalingam, Pandiyan3 (AUTHOR), Do Thi, Cat Tuong2 (AUTHOR), Senthil, Kalaiselvi4 (AUTHOR), Min, Taesun2 (AUTHOR) tsmin@jejunu.ac.kr
Publikováno v:
Food Science & Nutrition. Nov2024, Vol. 12 Issue 11, p8870-8886. 17p.