Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Pramanik, Sayantan"'
In this work, we present a heretofore unseen application of Ising machines to perform trust region-based optimisation with box constraints. This is done by considering a specific form of opto-electronic oscillator-based coherent Ising machines with c
Externí odkaz:
http://arxiv.org/abs/2407.04715
Ising machines are purported to be better at solving large-scale combinatorial optimisation problems better than conventional von Neumann computers. However, these Ising machines are widely believed to be heuristics, whose promise is observed empiric
Externí odkaz:
http://arxiv.org/abs/2312.04290
Variational quantum circuits characterise the state of a quantum system through the use of parameters that are optimised using classical optimisation procedures that typically rely on gradient information. The circuit-execution complexity of estimati
Externí odkaz:
http://arxiv.org/abs/2306.11842
Time series forecasting has always been a thought-provoking topic in the field of machine learning. Machine learning scientists define a time series as a set of observations recorded over consistent time steps. And, time series forecasting is a way o
Externí odkaz:
http://arxiv.org/abs/2207.07982
Autor:
Pramanik, Sayantan, Vaidya, Vishnu, Malviya, Gajendra, Sinha, Sudhir, Salsingikar, Shripad, Chandra, M Girish, Sridhar, C V, Mathais, Godfrey, Navelkar, Vidyut
Placement of sensors on vehicles for safety and autonomous capability is a complex optimization problem when considered in the full-blown form, with different constraints. Considering that Quantum Computers are expected to be able to solve certain op
Externí odkaz:
http://arxiv.org/abs/2206.14546
In this paper, we consider different Quantum Image Representation Methods to encode images into quantum states and then use a Quantum Machine Learning pipeline to classify the images. We provide encouraging results on classifying benchmark datasets o
Externí odkaz:
http://arxiv.org/abs/2206.11509
Autor:
Sarma, Aditya Das, Majumder, Utso, Vaidya, Vishnu, Chandra, M Girish, Kumar, A Anil, Pramanik, Sayantan
Utilizing present and futuristic Quantum Computers to solve difficult problems in different domains has become one of the main endeavors at this moment. Of course, in arriving at the requisite solution both quantum and classical computers work in con
Externí odkaz:
http://arxiv.org/abs/2204.09940
Autor:
Pramanik, Sayantan, Chandra, M Girish, Sridhar, C V, Kulkarni, Aniket, Sahoo, Prabin, D V, Vishwa Chethan, Sharma, Hrishikesh, Paliwal, Ashutosh, Navelkar, Vidyut, Poojary, Sudhakara, Shah, Pranav, Nambiar, Manoj
Enormous activity in the Quantum Computing area has resulted in considering them to solve different difficult problems, including those of applied nature, together with classical computers. An attempt is made in this work to nail down a pipeline cons
Externí odkaz:
http://arxiv.org/abs/2109.14431
An attempt has been made in this paper to modify Grover's Algorithm to find the binary string solutions approximating a target cost value. In that direction, new Controlled Oracle and the Local Diffusion Operator are suggested, apart from incorporati
Externí odkaz:
http://arxiv.org/abs/2012.11497
Quantum computers are projected to handle the Gibbs sampling and the related inference on Markov networks effectively. Apart from noting the background information useful for those starting the explorations in this important thread of Quantum Machine
Externí odkaz:
http://arxiv.org/abs/2006.11775