# A NASA perspective on quantum computing: Opportunities and challenges

@article{Biswas2017ANP, title={A NASA perspective on quantum computing: Opportunities and challenges}, author={Rupak Biswas and Zhang Jiang and Kostya Kechezhi and Sergey Knysh and Salvatore Mandr{\`a} and Bryan O’Gorman and Alejandro Perdomo-Ortiz and Andre Petukhov and John Realpe-G{\'o}mez and Eleanor Gilbert Rieffel and Davide Venturelli and Fedir Vasko and Zhihui Wang}, journal={Parallel Comput.}, year={2017}, volume={64}, pages={81-98} }

## 53 Citations

### From Ans\"atze to Z-gates: a NASA View of Quantum Computing

- Computer Science, Physics
- 2019

Early application thrusts related to robustness of communication networks and the simulation of many-body systems for material science and chemistry are added to the QuAIL research agenda.

### Quantum Computing Methods for Supervised Learning

- Computer Science, PhysicsQuantum Mach. Intell.
- 2021

This paper provides a background and summarize key results of quantum computing before exploring its application to supervised machine learning problems, and aims to make this introduction accessible to data scientists, machine learning practitioners, and researchers from across disciplines.

### From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz

- PhysicsAlgorithms
- 2019

The essence of this extension, the quantum alternating operator ansatz, is the consideration of general parameterized families of unitaries rather than only those corresponding to the time evolution under a fixed local Hamiltonian for a time specified by the parameter.

### Quantum Computing for Solving Spatial Optimization Problems

- Physics
- 2020

This chapter demonstrates how to employ QA to solve NP-hard spatial optimization problems through an illustrative example of programming a p-median model and a case study on spatial supply chain optimization.

### Quantum-inspired memory-enhanced stochastic algorithms

- Computer Science
- 2019

It is shown that it is possible to develop quantum-inspired classical algorithms that require much less memory than the best classical algorithms known to date.

### Quantum Speedup for Aeroscience and Engineering

- Computer ScienceAIAA Journal
- 2020

An overview of the state-of-the art in QC is given, tailored towards interests in the aerospace community, which has been relying on high performance computing heavily and will surely want to be informed of the developments in QC.

### Quantum Algorithms for Scientific Computing and Approximate Optimization

- Computer Science, Physics
- 2018

The performance of the quantum approximate optimization algorithm (QAOA) is studied, and a generalization of QAOA is shown, particularly suitable for constrained optimization problems and low-resource implementations on near-term quantum devices.

### Toward a standardized methodology for constructing quantum computing use cases

- Computer ScienceArXiv
- 2020

We propose a standardized methodology for developing and evaluating use cases for quantum computers and quantum inspired methods. This methodology consists of a standardized set of questions which…

### Analog-Quantum Feature Mapping for Machine-Learning Applications

- Computer Science
- 2020

This work proposes an alternative algorithm called ``analog-quantum kitchen sinks'' (AQKSs), which employs an analog- quantum computer for mapping data features into new features in a nonlinear manner and presents the possibility to use current quantum annealers for solving practical machine-learning problems.

### State-of-the-art quantum computing simulators: Features, optimizations, and improvements for D-GM

- Computer Science, PhysicsNeurocomputing
- 2020

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