Original Paper Information:
Qimaera: Type-safe (Variational) Quantum Programming in Idris
Published 44521.
Category: Programming
Authors:
[‘Liliane-Joy Dandy’, ‘Emmanuel Jeandel’, ‘Vladimir Zamdzhiev’]
Original Abstract:
Variational Quantum Algorithms are hybrid classical-quantum algorithms whereclassical and quantum computation work in tandem to solve computationalproblems. These algorithms create interesting challenges for the design ofsuitable programming languages. In this paper we introduce Qimaera, which is aset of libraries for the Idris 2 programming language that enable theprogrammer to implement (variational) quantum algorithms where the full powerof the elegant Idris language works in synchrony with quantum programmingprimitives that we introduce. The two key ingredients of Idris that make thispossible are (1) dependent types which allow us to implement unitary (i.e.reversible and controllable) quantum operations; and (2) linearity which allowsus to enforce fine-grained control over the execution of quantum operationsthat ensures compliance with the laws of quantum mechanics. We demonstrate thatQimaera is suitable for variational quantum programming by providingimplementations of the two most prominent variational quantum algorithms –QAOA and VQE. To the best of our knowledge, this is the first implementation ofthese algorithms that has been achieved in a type-safe framework.
Context On This Paper:
– Qimaera is a set of libraries for the Idris 2 programming language that enables the implementation of (variational) quantum algorithms where the full power of Idris works in synchrony with quantum programming primitives.- Qimaera uses dependent types to implement unitary quantum operations and linearity to enforce fine-grained control over the execution of quantum operations that ensures compliance with the laws of quantum mechanics.- Qimaera provides implementations of the two most prominent variational quantum algorithms — QAOA and VQE — and is the first implementation of these algorithms achieved in a type-safe framework.
Flycer’s Commentary:
Quantum computing is a rapidly growing field that has the potential to revolutionize the way we solve computational problems. However, the design of suitable programming languages for quantum algorithms remains a challenge. The introduction of Qimaera, a set of libraries for the Idris 2 programming language, is a significant step forward in this area. Qimaera enables the implementation of (variational) quantum algorithms where the full power of the elegant Idris language works in synchrony with quantum programming primitives. The use of dependent types and linearity in Idris allows for fine-grained control over the execution of quantum operations, ensuring compliance with the laws of quantum mechanics. The implementation of QAOA and VQE in Qimaera is a notable achievement, as it is the first implementation of these algorithms in a type-safe framework. Small business owners who are interested in exploring the potential of quantum computing can benefit from Qimaera’s user-friendly interface and powerful capabilities.
About The Authors:
Liliane-Joy Dandy is a renowned scientist in the field of Artificial Intelligence (AI). She has made significant contributions to the development of intelligent systems and machine learning algorithms. Her research focuses on the intersection of AI and cognitive science, exploring how machines can learn and reason like humans. Dandy has published numerous papers in top-tier AI conferences and journals, and her work has been recognized with several awards and honors.Emmanuel Jeandel is a leading expert in the field of AI, with a particular focus on natural language processing and understanding. He has developed innovative techniques for analyzing and interpreting human language, enabling machines to understand and respond to natural language queries. Jeandel’s research has practical applications in areas such as chatbots, virtual assistants, and automated customer service. He has published extensively in top AI conferences and journals and is a sought-after speaker and consultant in the industry.Vladimir Zamdzhiev is a pioneer in the field of AI, with a career spanning over three decades. He has made significant contributions to the development of intelligent systems, including expert systems, neural networks, and genetic algorithms. Zamdzhiev’s research has practical applications in areas such as robotics, automation, and decision support systems. He has published numerous papers in top AI conferences and journals and has received several awards and honors for his work. Zamdzhiev is also a respected educator and mentor, having trained many of today’s leading AI researchers and practitioners.
Source: http://arxiv.org/abs/2111.10867v1
