Quantum LDPC code discovery requires searching large algebraic design spaces while reliably certifying the parameters and equivalence classes of any candidates found. We present a …
We adapt Microsoft's QuantumKatas - a well-established quantum computing curriculum - from Q# to Qiskit, the most widely-adopted quantum computing framework, and package it with an …
Systems and techniques that facilitate intelligent unitary synthesis for quantum computing are provided. For example, a system can access a unitary matrix of a quantum payload …
A computer-implemented system with machine learning capabilities designed to address quantum computing challenges. The system's recommendation component employs a machine learning …
This paper investigates artificial intelligence (AI) methodologies for the synthesis and transpilation of permutation circuits across generic topologies. Our approach uses …
This paper explores the application of machine learning (ML) techniques in predicting the QPU processing time of quantum jobs. By leveraging ML algorithms, this study introduces …
Qiskit is an open-source quantum computing framework that allows users to design, simulate, and run quantum circuits on real quantum hardware. We explore post-training techniques …
An approach for assisting in the generation of quantum source code. The approach may include receiving a quantum source code input with a specification of constraints of a quantum …
Various systems and methods are presented herein regarding automatically utilizing characterized codes to characterize an undefined code. The undefined code can be computer …
Systems and techniques that facilitate quantum circuit transpiling are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a …