activity
20162021
most citedNoisy intermediate-scale quantum (NISQ) algorithms

1.8k citations · 2k across the 9 of their papers we have counts for

collaborators

9 papers

quant-ph2021★ 6 cited

Toward Reliability in the NISQ Era: Robust Interval Guarantee for Quantum Measurements on Approximate States

Maurice Weber, Abhinav Anand, Alba Cervera-Lierta +6

Near-term quantum computation holds potential across multiple application domains. However, imperfect preparation and evolution of states due to algorithmic and experimental shortc…

quant-ph2021★ 1.8k cited

Noisy intermediate-scale quantum (NISQ) algorithms

Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw +11

A universal fault-tolerant quantum computer that can solve efficiently problems such as integer factorization and unstructured database search requires millions of qubits with low…

quant-ph2020★ 44 cited

Natural Evolutionary Strategies for Variational Quantum Computation

Abhinav Anand, Matthias Degroote, Alán Aspuru-Guzik

Natural evolutionary strategies (NES) are a family of gradient-free black-box optimization algorithms. This study illustrates their use for the optimization of randomly-initialized…

quant-ph2020★ 68 cited

Tequila: A platform for rapid development of quantum algorithms

Jakob S. Kottmann, Sumner Alperin-Lea, Teresa Tamayo-Mendoza +15

Variational quantum algorithms are currently the most promising class of algorithms for deployment on near-term quantum computers. In contrast to classical algorithms, there are al…

quant-ph2020★ 17 cited

Quantum computer-aided design: digital quantum simulation of quantum processors

Thi Ha Kyaw, Tim Menke, Sukin Sim +5

With the increasing size of quantum processors, sub-modules that constitute the processor hardware will become too large to accurately simulate on a classical computer. Therefore,…

quant-ph2020★ 26 cited

Noise robustness and experimental demonstration of a quantum generative adversarial network for continuous distributions

Abhinav Anand, Jonathan Romero, Matthias Degroote +1

The potential advantage of machine learning in quantum computers is a topic of intense discussion in the literature. Theoretical, numerical and experimental explorations will most…

physics.flu-dyn2020★ 31 cited

Elliptic supersonic jet morphology manipulation using sharp-tipped lobes

Srisha M. V. Rao, S. K. Karthick, Abhinav Anand

Elliptic nozzle geometry is attractive for mixing enhancement of supersonic jets. However, jet dynamics, such as flapping, gives rise to high-intensity tonal sound. We experimental…

stat.ML2018

Using Inherent Structures to design Lean 2-layer RBMs

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. Motivated from…

cs.SE2016

A Decision Support System to Choose Optimal Release Cycle Length in Incremental Software Development Environments

Avnish Chandra Suman, Saraswati Mishra, Abhinav Anand

In the last few years it has been seen that many software vendors have started delivering projects incrementally with very short release cycles. Best examples of success of this ap…