High-level quantum algorithm programming using Silq
Viktorija Bezganovic, Marco Lewis, Sadegh Soudjani, Paolo Zuliani

TL;DR
This paper discusses Silq, a high-level quantum programming language, emphasizing its design, implementation, and advantages for developing quantum algorithms in a rapidly advancing field.
Contribution
It provides insights into the design and practical application of Silq, showcasing its strengths in high-level quantum algorithm development.
Findings
Silq simplifies quantum programming with high-level abstractions.
Demonstrates practical applications of Silq in quantum algorithms.
Highlights unique features that enhance quantum programming efficiency.
Abstract
Quantum computing, with its vast potential, is fundamentally shaped by the intricacies of quantum mechanics, which both empower and constrain its capabilities. The development of a universal, robust quantum programming language has emerged as a key research focus in this rapidly evolving field. This paper explores Silq, a recent high-level quantum programming language, highlighting its strengths and unique features. We aim to share our insights on designing and implementing high-level quantum algorithms using Silq, demonstrating its practical applications and advantages for quantum programming.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture
