Search Results for author: Abhinav Anand

Found 9 papers, 2 papers with code

Hybrid ACO-CI Algorithm for Beam Design problems

no code implementations29 Mar 2023 Ishaan R Kale, Mandar S Sapre, Ayush Khedkar, Kaustubh Dhamankar, Abhinav Anand, Aayushi Singh

A range of complicated real-world problems have inspired the development of several optimization methods.

Cantilever Beam

Quantum compression with classically simulatable circuits

no code implementations6 Jul 2022 Abhinav Anand, Jakob S. Kottmann, Alán Aspuru-Guzik

As we continue to find applications where the currently available noisy devices exhibit an advantage over their classical counterparts, the efficient use of quantum resources is highly desirable.

Evolutionary Algorithms

Impact of Subcarrier Allocation and User Mobility on the Uplink Performance of Multi-User Massive MIMO-OFDM Systems

no code implementations12 Aug 2021 Abhinav Anand, Chandra R. Murthy

Motivated by this, we consider a general subcarrier allocation scheme and derive expressions for the ICI power, uplink signal to interference plus noise ratio and the achievable uplink sum-rate, taking into account the ICI and the multi-user interference due to channel aging.

Natural Evolutionary Strategies for Variational Quantum Computation

no code implementations30 Nov 2020 Abhinav Anand, Matthias Degroote, Alán Aspuru-Guzik

We implement two specific approaches, the exponential and separable natural evolutionary strategies, for parameter optimization of PQCs and compare them against standard gradient descent.

A Feasible Approach for Automatically Differentiable Unitary Coupled-Cluster on Quantum Computers

1 code implementation11 Nov 2020 Jakob S. Kottmann, Abhinav Anand, Alán Aspuru-Guzik

We show that, within our framework, the gradient of an expectation value with respect to a parameterized n-fold fermionic excitation can be evaluated by four expectation values of similar form and size, whereas most standard approaches based on the direct application of the parameter-shift-rule come with an associated cost of O(2^(2n)) expectation values.

Quantum Physics Chemical Physics Computational Physics

Tequila: A platform for rapid development of quantum algorithms

4 code implementations5 Nov 2020 Jakob S. Kottmann, Sumner Alperin-Lea, Teresa Tamayo-Mendoza, Alba Cervera-Lierta, Cyrille Lavigne, Tzu-Ching Yen, Vladyslav Verteletskyi, Philipp Schleich, Abhinav Anand, Matthias Degroote, Skylar Chaney, Maha Kesibi, Artur F. Izmaylov, Alán Aspuru-Guzik

As in classical computing, heuristics play a crucial role in the development of new quantum algorithms, resulting in high demand for flexible and reliable ways to implement, test, and share new ideas.

Quantum Physics Chemical Physics Computational Physics

Using Inherent Structures to design Lean 2-layer RBMs

no code implementations ICML 2018 Abhishek Bansal, Abhinav Anand, Chiranjib Bhattacharyya

Understanding the representational power of Restricted Boltzmann Machines (RBMs) with multiple layers is an ill-understood problem and is an area of active research.

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